404 results on '"Diana O. Perkins"'
Search Results
2. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia
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Yu-Han H. Hsu, Greta Pintacuda, Ruize Liu, Eugeniu Nacu, April Kim, Kalliopi Tsafou, Natalie Petrossian, William Crotty, Jung Min Suh, Jackson Riseman, Jacqueline M. Martin, Julia C. Biagini, Daya Mena, Joshua K.T. Ching, Edyta Malolepsza, Taibo Li, Tarjinder Singh, Tian Ge, Shawn B. Egri, Benjamin Tanenbaum, Caroline R. Stanclift, Annie M. Apffel, Steven A. Carr, Monica Schenone, Jake Jaffe, Nadine Fornelos, Hailiang Huang, Kevin C. Eggan, Kasper Lage, Stephan Ripke, Benjamin M. Neale, Aiden Corvin, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Jr., Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberley D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chan, Eric Y.H. Chen, Wei Cheng, Eric FC. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Franziska Degenhardt, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Ina Giegling, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Marian L. Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M. Hartmann, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, David M. Hougaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A. Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Patrik K.E. Magnusson, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Andrew M. McIntosh, Sandra Meier, Carin J. Meijer, Bela Melegh, Ingrid Melle, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W. Morris, Ole Mors, Kieran C. Murphy, Robin M. Murray, Inez Myin-Germeys, Bertram Müller-Myhsok, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O'Callaghan, Colm O'Dushlaine, F. Anthony O'Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Michele T. Pato, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Alan R. Sanders, Ulrich Schall, Christian R. Schubert, Thomas G. Schulze, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Jianxin Shi, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Jordan W. Smoller, Hon-Cheong So, Chris C.A. Spencer, Eli A. Stahl, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Rolf Adolfsson, Ole A. Andreassen, Douglas H.R. Blackwood, Elvira Bramon, Joseph D. Buxbaum, Anders D. Børglum, Sven Cichon, Ariel Darvasi, Enrico Domenici, Hannelore Ehrenreich, Tõnu Esko, Pablo V. Gejman, Michael Gill, Hugh Gurling, Christina M. Hultman, Nakao Iwata, Assen V. Jablensky, Erik G. Jönsson, Kenneth S. Kendler, George Kirov, Jo Knight, Todd Lencz, Douglas F. Levinson, Qingqin S. Li, Jianjun Liu, Anil K. Malhotra, Steven A. McCarroll, Andrew McQuillin, Jennifer L. Moran, Preben B. Mortensen, Bryan J. Mowry, Markus M. Nöthen, Roel A. Ophoff, Michael J. Owen, Aarno Palotie, Carlos N. Pato, Tracey L. Petryshen, Danielle Posthuma, Marcella Rietschel, Brien P. Riley, Dan Rujescu, Pak C. Sham, Pamela Sklar, David St Clair, Daniel R. Weinberger, Jens R. Wendland, Thomas Werge, Mark J. Daly, Patrick F. Sullivan, Michael C. O'Donovan, Shengying Qin, Akira Sawa, Rene Kahn, Kyung Sue Hong, Wenzhao Shi, Ming Tsuang, Masanari Itokawa, Gang Feng, Stephen J. Glatt, Xiancang Ma, Jinsong Tang, Yunfeng Ruan, Feng Zhu, Yasue Horiuchi, Byung Dae Lee, Eun-Jeong Joo, Woojae Myung, Kyooseob Ha, Hong-Hee Won, Ji Hyung Baek, Young Chul Chung, Sung-Wan Kim, Agung Kusumawardhani, Wei J. Chen, Hai-Gwo Hwu, Akitoyo Hishimoto, Ikuo Otsuka, Ichiro Sora, Tomoko Toyota, Takeo Yoshikawa, Hiroshi Kunugi, Kotaro Hattori, Sayuri Ishiwata, Shusuke Numata, Tetsuro Ohmori, Makoto Arai, Yuji Ozeki, Kumiko Fujii, Se Joo Kim, Heon-Jeong Lee, Yong Min Ahn, Se Hyun Kim, Kazufumi Akiyama, Kazutaka Shimoda, and Makoto Kinoshita
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Molecular interaction ,Developmental neuroscience ,Cellular neuroscience ,Proteomics ,Science - Abstract
Summary: Genetics have nominated many schizophrenia risk genes and identified convergent signals between schizophrenia and neurodevelopmental disorders. However, functional interpretation of the nominated genes in the relevant brain cell types is often lacking. We executed interaction proteomics for six schizophrenia risk genes that have also been implicated in neurodevelopment in human induced cortical neurons. The resulting protein network is enriched for common variant risk of schizophrenia in Europeans and East Asians, is down-regulated in layer 5/6 cortical neurons of individuals affected by schizophrenia, and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in individuals with schizophrenia and bipolar disorder. Our findings showcase brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and its related disorders.
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- 2023
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3. Neurobehavioral risk factors influence prevalence and severity of hazardous substance use in youth at genetic and clinical high risk for psychosis
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Carolyn M. Amir, Simon Kapler, Gil D. Hoftman, Leila Kushan, Jamie Zinberg, Kristin S. Cadenhead, Leda Kennedy, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon, Jean Addington, and Carrie E. Bearden
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22q11.2 deletion syndrome ,clinical high risk for psychosis (CHR) ,psychosis ,substance use ,cannabis ,Psychiatry ,RC435-571 - Abstract
BackgroundElevated rates of alcohol, tobacco, and cannabis use are observed in both patients with psychotic disorders and individuals at clinical high risk for psychosis (CHR-P), and strong genetic associations exist between substance use disorders and schizophrenia. While individuals with 22q11.2 deletion syndrome (22qDel) are at increased genetic risk for psychosis, initial evidence suggests that they have strikingly low rates of substance use. In the current study, we aimed to directly compare substance use patterns and their neurobehavioral correlates in genetic and clinical high-risk cohorts.MethodsData on substance use frequency and severity, clinical symptoms, and neurobehavioral measures were collected at baseline and at 12-month follow-up visits in two prospective longitudinal cohorts: participants included 89 22qDel carriers and 65 age and sex-matched typically developing (TD) controls (40.67% male, Mage = 19.26 ± 7.84 years) and 1,288 CHR-P youth and 371 matched TD controls from the North American Prodrome Longitudinal Study-2 and 3 (55.74% male; Mage = 18.71 ± 4.27 years). Data were analyzed both cross-sectionally and longitudinally using linear mixed effects models.ResultsControlling for age, sex, and site, CHR-P individuals had significantly elevated rates of tobacco, alcohol, and cannabis use relative to TD controls, whereas 22qDel had significantly lower rates. Increased substance use in CHR-P individuals was associated with increased psychosis symptom severity, dysphoric mood, social functioning, and IQ, while higher social anhedonia was associated with lower substance use across all domains at baseline. These patterns persisted when we investigated these relationships longitudinally over one-year. CHR-P youth exhibited significantly increased positive psychosis symptoms, dysphoric mood, social functioning, social anhedonia, and IQ compared to 22qDel carriers, and lower rates of autism spectrum disorder (ASD) compared to 22qDel carriers, both at baseline and at 1 year follow-up.ConclusionIndividuals at genetic and CHR-P have strikingly different patterns of substance use. Factors such as increased neurodevelopmental symptoms (lower IQ, higher rates of ASD) and poorer social functioning in 22qDel may help explain this distinction from substance use patterns observed in CHR-P individuals.
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- 2023
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4. A greedy regression algorithm with coarse weights offers novel advantages
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Clark D. Jeffries, John R. Ford, Jeffrey L. Tilson, Diana O. Perkins, Darius M. Bost, Dayne L. Filer, and Kirk C. Wilhelmsen
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Medicine ,Science - Abstract
Abstract Regularized regression analysis is a mature analytic approach to identify weighted sums of variables predicting outcomes. We present a novel Coarse Approximation Linear Function (CALF) to frugally select important predictors and build simple but powerful predictive models. CALF is a linear regression strategy applied to normalized data that uses nonzero weights + 1 or − 1. Qualitative (linearly invariant) metrics to be optimized can be (for binary response) Welch (Student) t-test p-value or area under curve (AUC) of receiver operating characteristic, or (for real response) Pearson correlation. Predictor weighting is critically important when developing risk prediction models. While counterintuitive, it is a fact that qualitative metrics can favor CALF with ± 1 weights over algorithms producing real number weights. Moreover, while regression methods may be expected to change most or all weight values upon even small changes in input data (e.g., discarding a single subject of hundreds) CALF weights generally do not so change. Similarly, some regression methods applied to collinear or nearly collinear variables yield unpredictable magnitude or the direction (in p-space) of the weights as a vector. In contrast, with CALF if some predictors are linearly dependent or nearly so, CALF simply chooses at most one (the most informative, if any) and ignores the others, thus avoiding the inclusion of two or more collinear variables in the model.
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- 2022
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5. Depression Predicts Global Functional Outcomes in Individuals at Clinical High Risk for Psychosis
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Wisteria Deng, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Scott W. Woods, Elaine F. Walker, Jutta Joormann, and Tyrone Cannon
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Psychiatry ,RC435-571 - Abstract
Objectives While co‐morbid depression is associated with poor functional outcome among patients with schizophrenia, whether depression similarly predicts poorer outcomes in individuals at clinical high‐risk for psychosis (CHR‐P) is not clear. The present study aimed to examine depressive symptoms in relation to long‐term global functional outcomes in the North American Prodrome Longitudinal Study cohort (NAPLS2). Methods CHR individuals were evaluated clinically at baseline and at 12‐ and 24‐month follow‐ups for depressive and prodromal symptom severity as well as general functioning. Regression models were built to investigate whether baseline positive and depressive symptom scores predicted longitudinal improvement in global functioning. Results A total of 406 CHR individuals completed the 12‐month follow‐up assessment and 259 CHR individuals completed the 24‐month assessment. Baseline depressive symptoms in the CHR‐P population were found to predict better global functional outcomes at 2 years. Furthermore, the degree of recovery of depressive symptoms in the first year following baseline completely mediated the association between depressive symptoms at baseline and functional improvement at 2 years. Conclusions Presence of affective symptoms within the CHR‐P population has different implications for prognosis compared with patients with schizophrenia. The present findings support the view that among those at risk for psychosis, depressive symptoms at baseline predict a more favorable course of functional recovery, and highlight the potential importance of treating co‐occurring depressive symptoms at an early stage of psychosis risk.
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- 2021
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6. Discriminatory experiences predict neuroanatomical changes and anxiety among healthy individuals and those at clinical high risk for psychosis
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Meghan A. Collins, Yoonho Chung, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, and Tyrone D. Cannon
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Discrimination ,Social adversity ,Cortical thickness ,Neurodevelopmental trajectory ,Clinical high risk for psychosis ,Anxiety ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Individuals face discrimination based on characteristics including race/ethnicity, gender, age, and disability. Discriminatory experiences (DE) are associated with poor psychological health in the general population and with worse outcomes among individuals at clinical high risk for psychosis (CHR). Though the brain is sensitive to stress, and brain structural change is a well-documented precursor to psychosis, potential relationships between DE and brain structure among CHR or healthy individuals are not known. This report assessed whether lifetime DE are associated with cortical thinning and clinical outcomes across time, after controlling for discrimination-related demographic factors among CHR individuals who ultimately do (N = 57) and do not convert to psychosis (N = 451), and healthy comparison (N = 208) participants in the North American Prodrome Longitudinal Study 2. Results indicate that DE are associated with thinner cortex across time in several cortical areas. Thickness in several right hemisphere regions partially mediates associations between DE and subsequent anxiety symptoms, but not attenuated positive symptoms of psychosis. This report provides the first evidence to date of an association between DE and brain structure in both CHR and healthy comparison individuals. Results also suggest that thinner cortex across time in areas linked with DE may partially explain associations between DE and cross-diagnostic indicators of psychological distress.
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- 2021
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7. Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects in a Sample at Clinical High Risk for Psychosis From the NAPLS Consortium Assessed With the Human Startle Paradigm
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Kristin S. Cadenhead, Erica Duncan, Jean Addington, Carrie Bearden, Tyrone D. Cannon, Barbara A. Cornblatt, Dan Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming Tsuang, Elaine F. Walker, Scott W. Woods, Peter Bauchman, Ayse Belger, Ricardo E. Carrión, Franc Donkers, Jason Johannesen, Gregory Light, Margaret Niznikiewicz, Jason Nunag, and Brian Roach
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prodrome ,schizophrenia ,cannabis ,latency ,startle ,prepulse inhibition ,Psychiatry ,RC435-571 - Abstract
AbstractBiomarkers are important in the study of the prodromal period of psychosis because they can help to identify individuals at greatest risk for future psychotic illness and provide insights into disease mechanism underlying neurodevelopmental abnormalities. The biomarker abnormalities can then be targeted with treatment, with an aim toward prevention or mitigation of disease. The human startle paradigm has been used in translational studies of psychopathology including psychotic illness to assess preattentive information processing for over 50 years. In one of the largest studies to date in clinical high risk (CHR) for psychosis participants, we aimed to evaluate startle indices as biomarkers of risk along with the role of age, sex, treatment, and substance use in this population of high risk individuals.MethodsStartle response reactivity, latency, and prepulse inhibition (PPI) were assessed in 543 CHR and 218 Normal Comparison (NC) participants between the ages of 12 and 35.ResultsAt 1 year follow-up, 58 CHR participants had converted to psychosis. CHR and NC groups did not differ across any of the startle measures but those CHR participants who later converted to psychosis had significantly slower startle latency than did those who did not convert to psychosis, and this effect was driven by female CHR participants. PPI was significantly associated with age in the CHR, but not the NC, participants with the greatest positive age correlations present in those CHR participants who later converted to psychosis, consistent with a prior report. Finally, there was a significant group by cannabis use interaction due to greater PPI in cannabis users and opposite PPI group effects in users (CHR>NC) and non-users (NC>CHR).DiscussionThis is the first study to demonstrate a relationship of startle response latency to psychotic conversion in a CHR population. PPI is an important biomarker that may be sensitive to the neurodevelopmental abnormalities thought to be present in psychosis prone individuals and the effects of cannabis. The significant correlations with age in this sample as well as the finding of greater PPI in CHR cannabis users replicate findings from another large sample of CHR participants.
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- 2020
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8. Cerebello-thalamo-cortical hyperconnectivity as a state-independent functional neural signature for psychosis prediction and characterization
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Hengyi Cao, Oliver Y. Chén, Yoonho Chung, Jennifer K. Forsyth, Sarah C. McEwen, Dylan G. Gee, Carrie E. Bearden, Jean Addington, Bradley Goodyear, Kristin S. Cadenhead, Heline Mirzakhanian, Barbara A. Cornblatt, Ricardo E. Carrión, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Aysenil Belger, Larry J. Seidman, Heidi Thermenos, Ming T. Tsuang, Theo G. M. van Erp, Elaine F. Walker, Stephan Hamann, Alan Anticevic, Scott W. Woods, and Tyrone D. Cannon
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Science - Abstract
Brain function alterations in schizophrenia and other psychotic disorders remain poorly understood. Here, the authors discover that increased neural connectivity in the cerebello-thalamo-cortical circuitry predicts psychosis in those at high risk, and is present in people with schizophrenia.
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- 2018
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9. Theory of mind, emotion recognition and social perception in individuals at clinical high risk for psychosis: Findings from the NAPLS-2 cohort
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Mariapaola Barbato, Lu Liu, Kristin S. Cadenhead, Tyrone D. Cannon, Barbara A. Cornblatt, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Carrie E. Bearden, Daniel H. Mathalon, Robert Heinssen, and Jean Addington
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Social cognition ,Clinical high risk ,Psychosis ,Schizophrenia ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Social cognition, the mental operations that underlie social interactions, is a major construct to investigate in schizophrenia. Impairments in social cognition are present before the onset of psychosis, and even in unaffected first-degree relatives, suggesting that social cognition may be a trait marker of the illness. In a large cohort of individuals at clinical high risk for psychosis (CHR) and healthy controls, three domains of social cognition (theory of mind, facial emotion recognition and social perception) were assessed to clarify which domains are impaired in this population. Six-hundred and seventy-five CHR individuals and 264 controls, who were part of the multi-site North American Prodromal Longitudinal Study, completed The Awareness of Social Inference Test, the Penn Emotion Recognition task, the Penn Emotion Differentiation task, and the Relationship Across Domains, measures of theory of mind, facial emotion recognition, and social perception, respectively. Social cognition was not related to positive and negative symptom severity, but was associated with age and IQ. CHR individuals demonstrated poorer performance on all measures of social cognition. However, after controlling for age and IQ, the group differences remained significant for measures of theory of mind and social perception, but not for facial emotion recognition. Theory of mind and social perception are impaired in individuals at CHR for psychosis. Age and IQ seem to play an important role in the arising of deficits in facial affect recognition. Future studies should examine the stability of social cognition deficits over time and their role, if any, in the development of psychosis.
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- 2015
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10. Impaired neural synchrony in the theta frequency range in adolescents at familial risk for schizophrenia
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Franc C.L. Donkers, Shane R. Schwikert, Anna M. Evans, Katherine M. Cleary, Diana O. Perkins, and Aysenil eBelger
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Schizophrenia ,ERP ,P300 ,wavelet analysis ,Familial risk ,Phase-locking factor ,Psychiatry ,RC435-571 - Abstract
Puberty is a critical period for the maturation of the fronto-limbic and fronto-striate brain circuits responsible for executive function and affective processing. Puberty also coincides with the emergence of the prodromal signs of schizophrenia, which may indicate an association between these two processes. Time-domain analysis and wavelet based time-frequency analysis was performed on electroencephalographic (EEG) data of 30 healthy comparison (HC) subjects and 24 individuals at familial risk for schizophrenia (FR). All participants were between the ages of 13 and 18 years and were carefully matched for age, gender, ethnicity, education, and Tanner Stage. Electrophysiological recordings were obtained from 32 EEG channels while participants performed a visual oddball task, where they identified rare visual targets among standard ‘scrambled’ images and rare aversive and neutral distracter pictures. The time-domain analysis showed that during target processing the FR group showed smaller event-related potentials (ERPs) in the P2 and P3 range as compared to the HC group. In addition, EEG activity in the theta (4-8 Hz) frequency range was significantly reduced during target processing in the FR group. Inefficient cortical information processing during puberty may be an early indicator of altered brain function in adolescents at familial risk for schizophrenia and may represent a vulnerability marker for illness onset. Longitudinal assessments will have to determine their predictive value for illness onset in populations at familial risk for psychotic illness.
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- 2011
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11. The American Psychiatric Association Publishing Textbook of Schizophrenia
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Jeffrey A. Lieberman, T. Scott Stroup, Diana O. Perkins, Lisa B. Dixon
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- 2020
12. Sampling from different populations: Sociodemographic, clinical, and functional differences between samples of first episode psychosis individuals and clinical high-risk individuals who progressed to psychosis
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Matthew A. Hagler, Maria Ferrara, Laura A. Yoviene Sykes, Fangyong Li, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Barbara A. Cornblatt, Diana O. Perkins, Daniel H. Mathalon, Larry J. Seidman, Ming T. Tsuang, Elaine F. Walker, Albert R. Powers, Adrienne R. Allen, Vinod H. Srihari, and Scott W. Woods
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Psychiatry and Mental health ,Biological Psychiatry - Published
- 2023
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13. Ethnoracial discrimination and the development of suspiciousness symptoms in individuals at clinical high-risk for psychosis
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Timothy I. Michaels, Ricardo E. Carrión, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, William S. Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, and Barbara A. Cornblatt
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Psychiatry and Mental health ,Biological Psychiatry - Published
- 2023
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14. Migrant status, clinical symptoms and functional outcome in youth at clinical high risk for psychosis: findings from the NAPLS-3 study
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Mariapaola Barbato, Lu Liu, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, William Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon, and Jean Addington
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Psychiatry and Mental health ,Health (social science) ,Social Psychology ,Epidemiology - Published
- 2022
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15. Multisite reliability of MR-based functional connectivity.
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Stephanie Noble, Dustin Scheinost, Emily S. Finn, Xilin Shen, Xenophon Papademetris, Sarah C. McEwen, Carrie E. Bearden, Jean Addington, Bradley G. Goodyear, Kristin S. Cadenhead, Heline Mirzakhanian, Barbara A. Cornblatt, Doreen M. Olvet, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Aysenil Belger, Larry J. Seidman, Heidi W. Thermenos, Ming T. Tsuang, and Theo G. M. van Erp
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- 2017
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16. The associations between area-level residential instability and gray matter volumes from the North American Prodrome Longitudinal Study (NAPLS) consortium
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Benson S. Ku, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Michael T. Compton, Barbara A. Cornblatt, Benjamin G. Druss, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William S. Stone, Ming T. Tsuang, Scott W. Woods, and Elaine F. Walker
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Adult ,Adolescent ,Medical and Health Sciences ,Article ,Young Adult ,Residential instability ,Clinical high risk for psychosis ,Behavioral and Social Science ,Humans ,Rostral anterior cingulate cortex ,Longitudinal Studies ,Gray Matter ,Child ,Biological Psychiatry ,Psychiatry ,Cerebral Cortex ,Caudal middle frontal gyrus ,Prevention ,Psychology and Cognitive Sciences ,Neurosciences ,Serious Mental Illness ,Magnetic Resonance Imaging ,Brain Disorders ,Caudal middle frontal gyms ,Psychiatry and Mental health ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,North America ,Schizophrenia - Abstract
IntroductionArea-level residential instability (ARI), an index of social fragmentation, has been shown to explain the association between urbanicity and psychosis. Urban upbringing has been shown to be associated with reduced gray matter volumes (GMV)s of brain regions corresponding to the right caudal middle frontal gyrus (CMFG) and rostral anterior cingulate cortex (rACC). We hypothesize that greater ARI will be associated with reduced right CMFG and rACC GMVs.MethodsData were collected at baseline as part of the North American Prodrome Longitudinal Study Phase 2. Counties where participants resided during childhood were geographically coded using the US Census to area-level factors. ARI was defined as the percentage of residents living in a different house 5years ago. Generalized linear mixed models tested associations between ARI and GMVs.ResultsThis study included 29 healthy controls (HC)s and 64 clinical high risk for psychosis (CHR-P) individuals who were aged 12 to 24years, had remained in their baseline residential area, and had magnetic resonance imaging scans. ARI was associated with reduced right CMFG (adjusted β=-0.258; 95% CI=-0.502 to -0.015) and right rACC volumes (adjusted β=-0.318; 95% CI=-0.612 to -0.023). The interaction term (ARI-by-diagnostic group) in the prediction of both brain regions was not significant, indicating that the relationships between ARI and regional brain volumes held for both CHR-P and HCs.ConclusionsARI may adversely impact similar brain regions as urban upbringing. Further investigation into the potential mechanisms of the relationship between ARI and neurobiology, including social stress, is needed.
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- 2022
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17. Bullying in clinical high risk for psychosis participants from the NAPLS-3 cohort
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Amy Braun, Lu Liu, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, William Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon, and Jean Addington
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Psychiatry and Mental health ,Health (social science) ,Social Psychology ,Epidemiology - Published
- 2022
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18. Life Event Stress and Reduced Cortical Thickness in Youth at Clinical High Risk for Psychosis and Healthy Control Subjects
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Jean Addington, Scott W. Woods, Kristin S. Cadenhead, Meghan A. Collins, Carrie E. Bearden, Daniel H. Mathalon, Thomas H. McGlashan, Elaine F. Walker, Ming T. Tsuang, Tyrone D. Cannon, Diana O. Perkins, Katrina Aberizk, and Barbara A. Cornblatt
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Male ,Psychosis ,medicine.medical_specialty ,Longitudinal study ,Adolescent ,Cognitive Neuroscience ,Prodromal Symptoms ,Audiology ,Article ,050105 experimental psychology ,Prodrome ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Cortex (anatomy) ,Stress (linguistics) ,Healthy control ,otorhinolaryngologic diseases ,medicine ,Humans ,0501 psychology and cognitive sciences ,Radiology, Nuclear Medicine and imaging ,Longitudinal Studies ,Risk factor ,Biological Psychiatry ,business.industry ,05 social sciences ,Life events ,medicine.disease ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Psychotic Disorders ,Female ,Neurology (clinical) ,business ,Stress, Psychological ,030217 neurology & neurosurgery - Abstract
Background A decline in cortical thickness during early life appears to be a normal neuromaturational process. Accelerated cortical thinning has been linked with conversion to psychosis among individuals at clinical high risk for psychosis (CHR-P). Previous research indicates that exposure to life event stress (LES) is associated with exaggerated cortical thinning in both healthy and clinical populations, and LES is also linked with conversion to psychosis in CHR-P. To date, there are no reports on the relationship of LES with cortical thickness in CHR-P. This study examines this relationship and whether LES is linked with cortical thinning to a greater degree in individuals at CHR-P who convert to psychosis compared with individuals at CHR-P who do not convert and healthy control subjects. Methods Controlling for age and gender (364 male, 262 female), this study examined associations between LES and baseline cortical thickness in 436 individuals at CHR-P (375 nonconverters and 61 converters) and 190 comparison subjects in the North American Prodrome Longitudinal Study. Results Findings indicate that prebaseline cumulative LES is associated with reduced baseline cortical thickness in several regions among the CHR-P and control groups. Evidence suggests that LES is a risk factor for thinner cortex to the same extent across diagnostic groups, while CHR-P status is linked with thinner cortex in select regions after accounting for LES. Conclusions This research provides additional evidence to support the role of LES in cortical thinning in both healthy youth and those at CHR-P. Potential underlying mechanisms of the findings and implications for future research are discussed.
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- 2022
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19. Risk of violent behaviour in young people at clinical high risk for psychosis from the North American Prodrome Longitudinal Studies consortium
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Lauren N. Tronick, Heline Mirzakhanian, Jean Addington, Carrie E. Bearden, Tyrone D. Cannon, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, William Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, and Kristin S. Cadenhead
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Psychiatry and Mental health ,Pshychiatric Mental Health ,Biological Psychiatry - Published
- 2023
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20. User experiences of an American-adapted moderated online social media platform for first-episode psychosis: Qualitative analysis
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Elena L Pokowitz, Bryan J Stiles, Riya Thomas, Katherine Bullard, Kelsey A Ludwig, John F Gleeson, Mario Alvarez-Jimenez, Diana O Perkins, and David L Penn
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Health Information Management ,Health Policy ,Health Informatics ,Computer Science Applications - Abstract
Objectives The current study sought to qualitatively characterize the experiences of American users in a recent open trial of the Horyzons digital platform. Methods In total, 20 users on Horyzons USA completed semistructured interviews 12 weeks after their orientation to the platform and addressed questions related to (1) the platform, (2) their online therapist, and (3) the peer workers and community space. A hybrid inductive-deductive coding strategy was used to conduct a thematic analysis of the data (NCT04673851). Results The authors identified seven prominent themes that mapped onto the three components of self-determination theory. Features of the platform itself as well as inter- and intra-personal factors supported the autonomous use of Horyzons. Users also reflected that their perceived competence in social settings and in managing mental health was increased by the familiarity, privacy, and perceived safety of the platform and an emphasis on personalized therapeutic content. The behaviors or traits of online therapists as perceived by users and regular contact with peers and peer support specialists satisfied users’ need for relatedness and promoted confidence in social settings. Users also described aspects of Horyzons USA that challenged their satisfaction of autonomy, competence, and relatedness, highlighting potential areas for future iterations of the platform's content and interface. Conclusions Horyzons USA is a promising digital tool that provides young adults with psychosis with the means to access tailored therapy material on demand and a supportive digital community to aid in the recovery process.
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- 2023
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21. Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: Analysis from the North American Prodrome Longitudinal Study.
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Jennifer K. Forsyth, Sarah C. McEwen, Dylan G. Gee, Carrie E. Bearden, Jean Addington, Brad Goodyear, Kristin S. Cadenhead, Heline Mirzakhanian, Barbara A. Cornblatt, Doreen M. Olvet, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Aysenil Belger, Larry J. Seidman, Heidi W. Thermenos, Ming T. Tsuang, Theo G. M. van Erp, Elaine F. Walker, Stephan Hamann, Scott W. Woods, MaoLin Qiu, and Tyrone D. Cannon
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- 2014
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22. Enhancing stress reactivity and wellbeing in early schizophrenia: A randomized controlled trial of Integrated Coping Awareness Therapy (I-CAT)
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Lana Nye, Karen M. Grewen, Tate F. Halverson, Diana O. Perkins, Olafur S. Palsson, Susan Gaylord, Piper Meyer-Kalos, Sara B. Algoe, and David L. Penn
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Coping (psychology) ,Mindfulness ,positive psychology ,stress reactivity ,law.invention ,Quality of life ,Randomized controlled trial ,law ,first episode psychosis ,Adaptation, Psychological ,Humans ,Medicine ,Biological Psychiatry ,business.industry ,medicine.disease ,early intervention ,Psychiatry and Mental health ,Schizophrenia ,Quality of Life ,Observational study ,Positive psychology ,business ,Psychosocial ,Clinical psychology - Abstract
Individuals with schizophrenia spectrum disorders (SSD) are at heightened risk for exposure to stressful life events which can lead to increased sensitivity to stress and a dysregulated stress response, which are in turn associated with poor long-term functioning. Stress reactivity is thus a promising treatment target in the early stages of SSD. Integrated-Coping Awareness Therapy (I-CAT) is a manualized intervention integrating mindfulness and positive psychology to target a dysregulated stress response in SSD. The current study is a preliminary randomized-controlled trial (RCT) comparing I-CAT (n = 18) with treatment as usual (TAU; n = 18) in individuals in the early stages of SSD. I-CAT was hypothesized to be more effective than TAU on primary outcomes: increasing positive emotions, decreasing negative emotions, reducing stress, and improving functioning and quality of life; and secondary outcomes: reducing symptoms, increasing mindfulness, and improving overall well-being. Excellent therapy attendance rates, low study attrition, and positive participant feedback demonstrated that I-CAT was a feasible and well-tolerated psychosocial intervention. Results suggest I-CAT led to greater reduction in symptoms (i.e., overall, negative, and disorganized symptoms), increased observational mindfulness, increased endorsement of a sense of purpose in life, and preservation of work abilities and school social functioning compared with TAU. Future work should replicate and extend these findings in a larger-scale RCT.
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- 2021
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23. User experiences of an American-adapted moderated online social media platform for first-episode psychosis: Qualitative analysis (Preprint)
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Elena L. Pokowitz, Bryan J. Stiles, Riya Thomas, Katherine E. Bullard, Kelsey A. Ludwig, John F. Gleeson, Mario Alvarez-Jimenez, Diana O. Perkins, and David L. Penn
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BACKGROUND Increasingly, digital technology is used to engage individuals with first episode psychosis (FEP) with continued evidence-based recovery support beyond traditional outpatient mental health settings. Young people with FEP respond positively to the idea of receiving mental health support online, with many actively seeking information about and support for their mental illness through social media. Based on the moderated online social therapy (MOST) model and informed by self-determination theory (SDT), the Horyzons USA digital intervention blends interactive therapy material, peer-to-peer social networking, and expert moderation. OBJECTIVE The current study sought to qualitatively characterize the experiences of American users in a recent open trial of the Horyzons platform. METHODS Twenty users on Horyzons USA completed semi-structured interviews at post-treatment, 12 weeks after their orientation to the platform. The interview guide was built around questions addressing (1) the platform, (2) their online therapist, and (3) the peer workers and community space to elicit expressions of specific user experiences across different aspects of the platform in addition to potential suggestions for improvement. A hybrid inductive-deductive coding strategy was used to conduct a thematic analysis of the data. RESULTS The authors identified seven prominent themes of user experiences with Horyzons USA which were subsequently mapped onto one or more of the three primary components of SDT: Autonomy, competence, and relatedness. CONCLUSIONS Features of the platform itself as well as inter- and intra-personal factors supported autonomous use of Horyzons. Users also reflected that their perceived competence in social settings as well as their competence in managing mental health, was increased respectively by the familiarity, privacy, and perceived safety of the platform and an emphasis on personalized therapeutic content. We additionally found that users expressed satisfaction of a need for relatedness by the behaviors or traits of their online therapists or accessing shared experiences with peers and peer support specialists (PSS). This sense of community was further facilitated by bi-weekly virtual get-togethers which promoted further confidence in social settings. Users also described aspects of Horyzons USA that challenged their satisfaction of autonomy, competence, and relatedness, highlighting potential areas for future iteration of the platform’s content and interface. Based on these findings, Horyzons USA is a promising digital tool that provides young adults with psychosis with the means to access tailored therapy material on demand and a supportive digital community to aid in the recovery process.
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- 2022
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24. 352. Resource Utilization and Comorbidity in Clinical High-Risk Individuals in the North American Prodrome Longitudinal Studies (NAPLS) 3 Cohort
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Tiffany Morton, Jean Addington, Carrie E. Bearden, Tyrone D. Cannon, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Scott W. Woods, Elaine F. Walker, and Kristin S. Cadenhead
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Biological Psychiatry - Published
- 2023
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25. Concordance and factor structure of subthreshold positive symptoms in youth at clinical high risk for psychosis
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Tyrone D. Cannon, Diana O. Perkins, Scott W. Woods, Barbara A. Cornblatt, Larry J. Seidman, Thomas H. McGlashan, Ming T. Tsuang, Tyler M. Moore, Matcheri S. Keshavan, Jean Addington, Kristin S. Cadenhead, Carrie E. Bearden, William S. Stone, Monica E. Calkins, Daniel H. Mathalon, Lu Liu, and Elaine F. Walker
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Psychosis ,Adolescent ,Concordance ,media_common.quotation_subject ,Prodromal Symptoms ,Factor structure ,Delusions ,03 medical and health sciences ,0302 clinical medicine ,Perception ,Clinical heterogeneity ,Humans ,Medicine ,Biological Psychiatry ,media_common ,Subthreshold conduction ,business.industry ,medicine.disease ,Exploratory factor analysis ,030227 psychiatry ,Psychiatry and Mental health ,Psychotic Disorders ,Thought content ,business ,030217 neurology & neurosurgery ,Clinical psychology - Abstract
Prevailing models of psychosis risk incorporate positive subthreshold symptoms as defining features of risk or transition to psychotic disorders. Despite this, relatively few studies have focused on characterizing longitudinal symptom features, such as prevalence, concordance and structure, which may aid in refining methods and enhancing classification and prediction efforts. The present study aimed to fill these gaps using longitudinal 24-month follow-up data from the well-characterized NAPLS-2 multi-site investigation of youth at clinical high risk (CHR) who had (n = 86) and had not (n = 268) transitioned to a threshold psychotic disorder since baseline. At baseline, among sub-delusional ideas, unusual thought content and suspicious/persecutory thinking were very common in CHR youth, and were highly concordant. Perceptual abnormalities (P4) were also common across youth regardless of symptom course and eventual transition to psychosis. Grandiose ideas were rare. Exploratory factor analysis extracted two constituent factors at multiple follow-up intervals, but there was marked instability in the structure over 24 months, and clear indicators for a single positive symptom factor. Together these findings support suggestions to combine sub-delusional symptoms into a single symptom category for classification purposes, in efforts to reduce clinical heterogeneity and ease measurement burden.
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- 2021
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26. Social decline in the psychosis prodrome: Predictor potential and heterogeneity of outcome
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Andrea M. Auther, Carrie E. Bearden, Jean Addington, Matcheri S. Keshavan, John Torous, Daniel H. Mathalon, Ming T. Tsuang, Tyrone D. Cannon, Diana O. Perkins, Elaine F. Walker, Scott W. Woods, Ricardo E. Carrión, Danielle McLaughlin, Larry J. Seidman, Kristin S. Cadenhead, Thomas H. McGlashan, Barbara A. Cornblatt, and William S. Stone
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Longitudinal study ,Psychosis ,Adolescent ,business.industry ,Role functioning ,Prodromal Symptoms ,Long term disability ,medicine.disease ,030227 psychiatry ,Prodrome ,03 medical and health sciences ,Psychiatry and Mental health ,0302 clinical medicine ,Psychotic Disorders ,medicine ,Humans ,Longitudinal Studies ,business ,Social Adjustment ,030217 neurology & neurosurgery ,Biological Psychiatry ,Clinical psychology ,Social functioning - Abstract
Background While an established clinical outcome of high importance, social functioning has been emerging as possibly having a broader significance to the evolution of psychosis and long term disability. In the current study we explored the association between social decline, conversion to psychosis, and functional outcome in individuals at clinical high risk (CHR) for psychosis. Methods 585 subjects collected in the North American Prodrome Longitudinal Study (NAPLS2) were divided into 236 Healthy Controls (HCs), and CHR subjects that developed psychosis (CHR + C, N = 79), or those that did not (Non-Converters, CHR-NC, N = 270). CHR + C subjects were further divided into those that experienced an atypical decline in social functioning prior to baseline (beyond typical impairment levels) when in min-to-late adolescence (CHR + C-SD, N = 39) or those that did not undergoing a decline (CHR + C-NSD, N = 40). Results Patterns of poor functional outcomes varied across the CHR subgroups: CHR-NC (Poor Social 36.3%, Role 42.2%) through CHR + C-NSD (Poor Social 50%, Poor Role 67.5%) to CHR + C-SD (Poor Social 76.9%, Poor Role 89.7%) functioning. The two Converter subgroups had comparable positive symptoms at baseline. At 12 months, the CHR + C-SD group stabilized, but social functioning levels remained significantly lower than the other two subgroups. Conclusions The current study demonstrates that pre-baseline social decline in mid-to-late adolescence predicts psychosis. In addition, we found that this social decline in converters is strongly associated with especially poor functional outcome and overall poorer prognosis. Role functioning, in contrast, has not shown similar predictor potential, and rather appears to be an illness indicator that worsens over time.
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- 2021
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27. Incorporating cortisol into the NAPLS2 individualized risk calculator for prediction of psychosis
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Thomas H. McGlashan, Tyrone D. Cannon, Larry J. Seidman, Michelle A. Worthington, Ming T. Tsuang, Diana O. Perkins, Kristin S. Cadenhead, Barbara A. Cornblatt, Scott W. Woods, Jean Addington, Daniel H. Mathalon, Carrie E. Bearden, and Elaine F. Walker
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Hypothalamo-Hypophyseal System ,Psychosis ,Longitudinal study ,Multivariate statistics ,Hydrocortisone ,Prodromal Symptoms ,Clinical high-risk ,Medical and Health Sciences ,Article ,Cortisol ,law.invention ,Prodrome ,03 medical and health sciences ,0302 clinical medicine ,Clinical Research ,law ,medicine ,Humans ,Longitudinal Studies ,Biological Psychiatry ,Survival analysis ,Psychiatry ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,Stressor ,medicine.disease ,Risk calculator ,Brain Disorders ,030227 psychiatry ,Psychiatry and Mental health ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,Calculator ,Biomarker (medicine) ,Prediction ,business ,030217 neurology & neurosurgery ,Clinical psychology - Abstract
BackgroundRisk calculators are useful tools that can help clinicians and researchers better understand an individual's risk of conversion to psychosis. The North American Prodrome Longitudinal Study (NAPLS2) Individualized Risk Calculator has good predictive accuracy but could be potentially improved by the inclusion of a biomarker. Baseline cortisol, a measure of hypothalamic-pituitary-adrenal (HPA) axis functioning that is impacted by biological vulnerability to stress and exposure to environmental stressors, has been shown to be higher among individuals at clinical high-risk for psychosis (CHRP) who eventually convert to psychosis than those who do not. We sought to determine whether the addition of baseline cortisol to the NAPLS2 risk calculator improved the performance of the risk calculator.MethodsParticipants were drawn from the NAPLS2 study. A subset of NAPLS2 participants provided salivary cortisol samples. A multivariate Cox proportional hazards regression evaluated the likelihood of an individual's eventual conversion to psychosis based on demographic and clinical variables in addition to baseline cortisol levels.ResultsA total of 417 NAPLS2 participants provided salivary cortisol and were included in the analysis. Higher levels of cortisol were predictive of conversion to psychosis in a univariate model (C-index=0.59, HR=21.5, p-value=0.004). The inclusion of cortisol in the risk calculator model resulted in a statistically significant improvement in performance from the original risk calculator model (C-index=0.78, SE=0.028).ConclusionsSalivary cortisol is an inexpensive and non-invasive biomarker that could improve individual predictions about conversion to psychosis and treatment decisions for CHR-P individuals.
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- 2021
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28. The Association Between Neighborhood Poverty and Hippocampal Volume Among Individuals at Clinical High-Risk for Psychosis: The Moderating Role of Social Engagement
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Benson S Ku, Katrina Aberizk, Jean Addington, Carrie E Bearden, Kristin S Cadenhead, Tyrone D Cannon, Ricardo E Carrión, Michael T Compton, Barbara A Cornblatt, Benjamin G Druss, Daniel H Mathalon, Diana O Perkins, Ming T Tsuang, Scott W Woods, and Elaine F Walker
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Adult ,Male ,Adolescent ,brain imaging ,hippocampal volume ,Medical and Health Sciences ,Hippocampus ,Young Adult ,Clinical Research ,2.3 Psychological ,Residence Characteristics ,Behavioral and Social Science ,social determinants of mental health ,Humans ,Longitudinal Studies ,Aetiology ,Child ,Psychiatry ,neuroimaging ,Prevention ,Psychology and Cognitive Sciences ,Social Participation ,Magnetic Resonance Imaging ,prodrome ,Brain Disorders ,schizophrenia ,Psychiatry and Mental health ,Mental Health ,Cross-Sectional Studies ,Psychotic Disorders ,Female ,social and economic factors ,Regular Articles - Abstract
Reductions in hippocampal volume (HV) have been associated with both prolonged exposure to stress and psychotic illness. This study sought to determine whether higher levels of neighborhood poverty would be associated with reduced HV among individuals at clinical high-risk for psychosis (CHR-P), and whether social engagement would moderate this association. This cross-sectional study included a sample of participants (N = 174, age-range = 12–33 years, 35.1% female) recruited for the second phase of the North American Prodrome Longitudinal Study. Generalized linear mixed models tested the association between neighborhood poverty and bilateral HV, as well as the moderating role of social engagement on this association. Higher levels of neighborhood poverty were associated with reduced left (β = −0.180, P = .016) and right HV (β = −0.185, P = .016). Social engagement significantly moderated the relation between neighborhood poverty and bilateral HV. In participants with lower levels of social engagement (n = 77), neighborhood poverty was associated with reduced left (β = −0.266, P = .006) and right HV (β = −0.316, P = .002). Among participants with higher levels of social engagement (n = 97), neighborhood poverty was not significantly associated with left (β = −0.010, P = .932) or right HV (β = 0.087, P = .473). In this study, social engagement moderated the inverse relation between neighborhood poverty and HV. These findings demonstrate the importance of including broader environmental influences and indices of social engagement when conceptualizing adversity and potential interventions for individuals at CHR-P.
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- 2022
29. Mismatch Negativity in Response to Auditory Deviance and Risk for Future Psychosis in Youth at Clinical High Risk for Psychosis
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Holly K. Hamilton, Brian J. Roach, Peter M. Bachman, Aysenil Belger, Ricardo E. Carrión, Erica Duncan, Jason K. Johannesen, Gregory A. Light, Margaret A. Niznikiewicz, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Thomas H. McGlashan, Diana O. Perkins, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon, and Daniel H. Mathalon
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Adult ,Adolescent ,Correction ,Electroencephalography ,Young Adult ,Psychiatry and Mental health ,Acoustic Stimulation ,Psychotic Disorders ,Evoked Potentials, Auditory ,Schizophrenia ,Humans ,Female ,Longitudinal Studies ,Biomarkers ,Antipsychotic Agents ,Original Investigation - Abstract
IMPORTANCE: Although clinical criteria for identifying youth at risk for psychosis have been validated, they are not sufficiently accurate for predicting outcomes to inform major treatment decisions. The identification of biomarkers may improve outcome prediction among individuals at clinical high risk for psychosis (CHR-P). OBJECTIVE: To examine whether mismatch negativity (MMN) event–related potential amplitude, which is deficient in schizophrenia, is reduced in young people with the CHR-P syndrome and associated with outcomes, accounting for effects of antipsychotic medication use. DESIGN, SETTING, AND PARTICIPANTS: MMN data were collected as part of the multisite case-control North American Prodrome Longitudinal Study (NAPLS-2) from 8 university-based outpatient research programs. Baseline MMN data were collected from June 2009 through April 2013. Clinical outcomes were assessed throughout 24 months. Participants were individuals with the CHR-P syndrome and healthy controls with MMN data. Participants with the CHR-P syndrome who developed psychosis (ie, converters) were compared with those who did not develop psychosis (ie, nonconverters) who were followed up for 24 months. Analysis took place between December 2019 and December 2021. MAIN OUTCOMES AND MEASURES: Electroencephalography was recorded during a passive auditory oddball paradigm. MMN elicited by duration-, pitch-, and duration + pitch double-deviant tones was measured. RESULTS: The CHR-P group (n = 580; mean [SD] age, 19.24 [4.39] years) included 247 female individuals (42.6%) and the healthy control group (n = 241; mean age, 20.33 [4.74] years) included 114 female individuals (47.3%). In the CHR-P group, 450 (77.6%) were not taking antipsychotic medication at baseline. Baseline MMN amplitudes, irrespective of deviant type, were deficient in future CHR-P converters to psychosis (n = 77, unmedicated n = 54) compared with nonconverters (n = 238, unmedicated n = 190) in both the full sample (d = 0.27) and the unmedicated subsample (d = 0.33). In the full sample, baseline medication status interacted with group and deviant type indicating that double-deviant MMN, compared with single deviants, was reduced in unmedicated converters compared with nonconverters (d = 0.43). Further, within the unmedicated subsample, deficits in double-deviant MMN were most strongly associated with earlier conversion to psychosis (hazard ratio, 1.40 [95% CI, 1.03-1.90]; P = .03], which persisted over and above positive symptom severity. CONCLUSIONS AND RELEVANCE: This study found that MMN amplitude deficits were sensitive to future psychosis conversion among individuals at risk of CHR-P, particularly those not taking antipsychotic medication at baseline, although associations were modest. While MMN shows limited promise as a biomarker of psychosis onset on its own, it may contribute novel risk information to multivariate prediction algorithms and serve as a translational neurophysiological target for novel treatment development in a subgroup of at-risk individuals.
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- 2022
30. Progressive reconfiguration of resting-state brain networks as psychosis develops: Preliminary results from the North American Prodrome Longitudinal Study (NAPLS) consortium
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Doreen M. Olvet, Jean Addington, Tyrone D. Cannon, Sarah McEwen, Carrie E. Bearden, Alan Anticevic, Larry J. Seidman, Scott W. Woods, Heidi W. Thermenos, Kristin S. Cadenhead, Diana O. Perkins, Daniel H. Mathalon, Bradley G. Goodyear, Elaine F. Walker, Hengyi Cao, Thomas H. McGlashan, Aysenil Belger, Heline Mirzakhanian, Stephan Hamann, Yoonho Chung, Ming T. Tsuang, Theo G.M. van Erp, and Barbara A. Cornblatt
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Psychosis ,medicine.medical_specialty ,Network diversity ,Longitudinal study ,Medical and Health Sciences ,Article ,Prodrome ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Humans ,Medicine ,Longitudinal Studies ,Resting state ,Global efficiency ,Biological Psychiatry ,Psychiatry ,Brain network ,Resting state fMRI ,business.industry ,Psychology and Cognitive Sciences ,Neurosciences ,Brain ,Clinical high risk ,medicine.disease ,Magnetic Resonance Imaging ,United States ,Brain Disorders ,030227 psychiatry ,Graph theory ,Psychiatry and Mental health ,Mental Health ,Psychotic Disorders ,Neurological ,business ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Mounting evidence has shown disrupted brain network architecture across the psychosis spectrum. However, whether these changes relate to the development of psychosis is unclear. Here, we used graph theoretical analysis to investigate longitudinal changes in resting-state brain networks in samples of 72 subjects at clinical high risk (including 8 cases who converted to full psychosis) and 48 healthy controls drawn from the North American Prodrome Longitudinal Study (NAPLS) consortium. We observed progressive reduction in global efficiency (P = 0.006) and increase in network diversity (P = 0.001) in converters compared with non-converters and controls. More refined analysis separating nodes into nine key brain networks demonstrated that these alterations were primarily driven by progressively diminished local efficiency in the default-mode network (P = 0.004) and progressively enhanced node diversity across all networks (P < 0.05). The change rates of network efficiency and network diversity were significantly correlated (P = 0.003), suggesting these changes may reflect shared underlying neural mechanisms. In addition, change rates of global efficiency and node diversity were significantly correlated with change rate of cortical thinning in the prefrontal cortex in converters (P < 0.03) and could be predicted by visuospatial memory scores at baseline (P < 0.04). These results provide preliminary evidence for longitudinal reconfiguration of resting-state brain networks during psychosis development and suggest that decreased network efficiency, reflecting an increase in path length between nodes, and increased network diversity, reflecting a decrease in the consistency of functional network organization, are implicated in the progression to full psychosis.
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- 2020
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31. Potential Roles of Redox Dysregulation in the Development of Schizophrenia
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Clark D. Jeffries, Diana O. Perkins, and Kim Q. Do
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0301 basic medicine ,Psychosis ,NF-E2-Related Factor 2 ,medicine.disease_cause ,Article ,Mice ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Animals ,Biological Psychiatry ,Kelch-Like ECH-Associated Protein 1 ,biology ,GCLM ,Chemistry ,Perineuronal net ,medicine.disease ,Parvalbumins ,030104 developmental biology ,nervous system ,Schizophrenia ,Synaptic plasticity ,biology.protein ,NMDA receptor ,Oxidation-Reduction ,Neuroscience ,030217 neurology & neurosurgery ,Oxidative stress ,Parvalbumin - Abstract
Converging evidence implicates redox dysregulation as a pathological mechanism driving the emergence of psychosis. Increased oxidative damage and decreased capacity of intracellular redox modulatory systems are consistent findings in persons with schizophrenia as well as in persons at clinical high risk who subsequently developed frank psychosis. Levels of glutathione, a key regulator of cellular redox status, are reduced in the medial prefrontal cortex, striatum, and thalamus in schizophrenia. In humans with schizophrenia and in rodent models recapitulating various features of schizophrenia, redox dysregulation is linked to reductions of parvalbumin containing gamma-aminobutyric acid (GABA) interneurons and volumes of their perineuronal nets, white matter abnormalities, and microglia activation. Importantly, the activity of transcription factors, kinases, and phosphatases regulating diverse aspects of neurodevelopment and synaptic plasticity varies according to cellular redox state. Molecules regulating interneuron function under redox control include NMDA receptor subunits GluN1 and GluN2A as well as KEAP1 (regulator of transcription factor NRF2). In a rodent schizophrenia model characterized by impaired glutathione synthesis, the Gclm knockout mouse, oxidative stress activated MMP9 (matrix metalloprotease 9) via its redox-responsive regulatory sites, causing a cascade of molecular events leading to microglia activation, perineural net degradation, and impaired NMDA receptor function. Molecular pathways under redox control are implicated in the etiopathology of schizophrenia and are attractive drug targets for individualized drug therapy trials in the contexts of prevention and treatment of psychosis.
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- 2020
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32. Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk
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Carrie E. Bearden, Scott W. Woods, Tyrone D. Cannon, Jean Addington, Jenna Barbee, Clark Jeffries, Barbara A. Cornblatt, Larry J. Seidman, Ming T. Tsuang, Daniel H. Mathalon, Kristin S. Cadenhead, Elaine F. Walker, Loes M. Olde Loohuis, John Ford, Diana O. Perkins, and Thomas H. McGlashan
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Male ,Gerontology ,Multifactorial Inheritance ,Psychosis ,NAPLS ,Adolescent ,High-risk ,MEDLINE ,Prodromal Symptoms ,Genome-wide association study ,Target population ,Medical and Health Sciences ,Article ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Clinical Research ,Predictive Value of Tests ,Risk Factors ,Genetics ,medicine ,Humans ,Genetic Predisposition to Disease ,Young adult ,Risk Calculator ,Psychiatry ,Polygenic Risk Score ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,medicine.disease ,Brain Disorders ,030227 psychiatry ,Psychiatry and Mental health ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,Predictive value of tests ,Schizophrenia ,Female ,Polygenic risk score ,business ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
OBJECTIVE: The 2-year risk of psychosis in persons who meet research criteria for a high-risk syndrome is about 15%–25%; improvements in risk prediction accuracy would benefit the development and implementation of preventive interventions. The authors sought to assess polygenic risk score (PRS) prediction of subsequent psychosis in persons at high risk and to determine the impact of adding the PRS to a previously validated psychosis risk calculator. METHODS: Persons meeting research criteria for psychosis high risk (N=764) and unaffected individuals (N=279) were followed for up to 2 years. The PRS was based on the latest schizophrenia and bipolar genome-wide association studies. Variables in the psychosis risk calculator included stressful life events, trauma, disordered thought content, verbal learning, information processing speed, and family history of psychosis. RESULTS: For Europeans, the PRS varied significantly by group and was higher in the psychosis converter group compared with both the nonconverter and unaffected groups, but was similar for the nonconverter group compared with the unaffected group. For non-Europeans, the PRS varied significantly by group; the difference between the converters and nonconverters was not significant, but the PRS was significantly higher in converters than in unaffected individuals, and it did not differ between nonconverters and unaffected individuals. The R(2) (R(2) adjusted for the rate of disease risk in the population being studied, here assuming a 2-year psychosis risk between 10% and 30%) for Europeans varied between 9.2% and 12.3% and for non-Europeans between 3.5% and 4.8%. The amount of risk prediction information contributed by the addition of the PRS to the risk calculator was less than severity of disordered thoughts and similar to or greater than for other variables. For Europeans, the PRS was correlated with risk calculator variables of information processing speed and verbal memory. CONCLUSIONS: The PRS discriminates psychosis converters from nonconverters and modestly improves individualized psychosis risk prediction when added to a psychosis risk calculator. The schizophrenia PRS shows promise in enhancing risk prediction in persons at high risk for psychosis, although its potential utility is limited by poor performance in persons of non-European ancestry.
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- 2020
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33. Common Data Elements for National Institute of Mental Health–Funded Translational Early Psychosis Research
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Carol Dukes Hamilton, Dost Öngür, Carol A. Tamminga, Akira Sawa, Wayne Huggins, Raquel E. Gur, Cameron S. Carter, Larry J. Seidman, and Diana O. Perkins
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Biomedical ,Cognitive Neuroscience ,Data element ,Specialty ,PhenX ,Neuroimaging ,Translational research ,Translational Research, Biomedical ,03 medical and health sciences ,Cognition ,0302 clinical medicine ,Clinical Research ,Research community ,Translational Research ,Humans ,Radiology, Nuclear Medicine and imaging ,Aetiology ,National Institute of Mental Health (U.S.) ,Biological Psychiatry ,Medical education ,Common Data Elements ,Information Dissemination ,Early psychosis ,Congresses as Topic ,Mental health ,United States ,Brain Disorders ,030227 psychiatry ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,Research Design ,Schizophrenia ,Neurology (clinical) ,Psychology ,2.6 Resources and infrastructure (aetiology) ,030217 neurology & neurosurgery - Abstract
The National Institutes of Health has established the PhenX Toolkit as a web-based resource containing consensus measures freely available to the research community. The National Institute of Mental Health (NIMH) has introduced the Mental Health Research Core Collection as part of the PhenX Toolkit and recently convened the PhenX Early Psychosis Working Group to generate the PhenX Early Psychosis Specialty Collection. The Working Group consisted of two complementary panels for clinical and translational research. We review the process, deliberations, and products of the translational research panel. The Early Psychosis Specialty Collection rationale for measure selection as well as additional information and protocols for obtaining each measure are available on the PhenX website (https://www.phenxtoolkit.org). The NIMH strongly encourages investigators to use instruments from the PhenX Mental Health Research Collections in NIMH-funded studies and discourages use of alternative measures to collect similar data without justification. We also discuss some of the potential advances that can be achieved by collecting common data elements across large-scale longitudinal studies of early psychosis.
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- 2020
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34. Characterizing sustained social anxiety in individuals at clinical high risk for psychosis: trajectory, risk factors, and functional outcomes
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Wisteria Deng, Jean Addington, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Daniel H. Mathalon, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Scott W. Woods, Elaine F. Walker, and Tyrone D. Cannon
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polygenic risk ,Prodromal Symptoms ,Comorbidity ,Anxiety ,Risk Factors ,2.3 Psychological ,Behavioral and Social Science ,Humans ,Psychology ,Longitudinal Studies ,Aetiology ,Applied Psychology ,stress exposure ,Psychiatry ,outcome studies ,Prevention ,Neurosciences ,Serious Mental Illness ,covariant trajectories ,Brain Disorders ,Psychiatry and Mental health ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,Schizophrenia ,Public Health and Health Services ,social and economic factors - Abstract
Background While comorbidity of clinical high-risk for psychosis (CHR-P) status and social anxiety is well-established, it remains unclear how social anxiety and positive symptoms covary over time in this population. The present study aimed to determine whether there are more than one covariant trajectory of social anxiety and positive symptoms in the North American Prodrome Longitudinal Study cohort (NAPLS 2) and, if so, to test whether the different trajectory subgroups differ in terms of genetic and environmental risk factors for psychotic disorders and general functional outcome. Methods In total, 764 CHR individuals were evaluated at baseline for social anxiety and psychosis risk symptom severity and followed up every 6 months for 2 years. Application of group-based multi-trajectory modeling discerned three subgroups based on the covariant trajectories of social anxiety and positive symptoms over 2 years. Results One of the subgroups showed sustained social anxiety over time despite moderate recovery in positive symptoms, while the other two showed recovery of social anxiety below clinically significant thresholds, along with modest to moderate recovery in positive symptom severity. The trajectory group with sustained social anxiety had poorer long-term global functional outcomes than the other trajectory groups. In addition, compared with the other two trajectory groups, membership in the group with sustained social anxiety was predicted by higher levels of polygenic risk for schizophrenia and environmental stress exposures. Conclusions Together, these analyses indicate differential relevance of sustained v. remitting social anxiety symptoms in the CHR-P population, which in turn may carry implications for differential intervention strategies.
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- 2022
35. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders
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Gabriëlla A.M. Blokland, Jakob Grove, Chia-Yen Chen, Chris Cotsapas, Stuart Tobet, Robert Handa, David St Clair, Todd Lencz, Bryan J. Mowry, Sathish Periyasamy, Murray J. Cairns, Paul A. Tooney, Jing Qin Wu, Brian Kelly, George Kirov, Patrick F. Sullivan, Aiden Corvin, Brien P. Riley, Tõnu Esko, Lili Milani, Erik G. Jönsson, Aarno Palotie, Hannelore Ehrenreich, Martin Begemann, Agnes Steixner-Kumar, Pak C. Sham, Nakao Iwata, Daniel R. Weinberger, Pablo V. Gejman, Alan R. Sanders, Joseph D. Buxbaum, Dan Rujescu, Ina Giegling, Bettina Konte, Annette M. Hartmann, Elvira Bramon, Robin M. Murray, Michele T. Pato, Jimmy Lee, Ingrid Melle, Espen Molden, Roel A. Ophoff, Andrew McQuillin, Nicholas J. Bass, Rolf Adolfsson, Anil K. Malhotra, Nicholas G. Martin, Janice M. Fullerton, Philip B. Mitchell, Peter R. Schofield, Andreas J. Forstner, Franziska Degenhardt, Sabrina Schaupp, Ashley L. Comes, Manolis Kogevinas, José Guzman-Parra, Andreas Reif, Fabian Streit, Lea Sirignano, Sven Cichon, Maria Grigoroiu-Serbanescu, Joanna Hauser, Jolanta Lissowska, Fermin Mayoral, Bertram Müller-Myhsok, Beata Świątkowska, Thomas G. Schulze, Markus M. Nöthen, Marcella Rietschel, John Kelsoe, Marion Leboyer, Stéphane Jamain, Bruno Etain, Frank Bellivier, John B. Vincent, Martin Alda, Claire O’Donovan, Pablo Cervantes, Joanna M. Biernacka, Mark Frye, Susan L. McElroy, Laura J. Scott, Eli A. Stahl, Mikael Landén, Marian L. Hamshere, Olav B. Smeland, Srdjan Djurovic, Arne E. Vaaler, Ole A. Andreassen, Bernhard T. Baune, Tracy Air, Martin Preisig, Rudolf Uher, Douglas F. Levinson, Myrna M. Weissman, James B. Potash, Jianxin Shi, James A. Knowles, Roy H. Perlis, Susanne Lucae, Dorret I. Boomsma, Brenda W.J.H. Penninx, Jouke-Jan Hottenga, Eco J.C. de Geus, Gonneke Willemsen, Yuri Milaneschi, Henning Tiemeier, Hans J. Grabe, Alexander Teumer, Sandra Van der Auwera, Uwe Völker, Steven P. Hamilton, Patrik K.E. Magnusson, Alexander Viktorin, Divya Mehta, Niamh Mullins, Mark J. Adams, Gerome Breen, Andrew M. McIntosh, Cathryn M. Lewis, David M. Hougaard, Merete Nordentoft, Ole Mors, Preben B. Mortensen, Thomas Werge, Thomas D. Als, Anders D. Børglum, Tracey L. Petryshen, Jordan W. Smoller, Jill M. Goldstein, Stephan Ripke, Benjamin M. Neale, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberly D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chen, Eric Y.H. Chen, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee Chee Keong, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Sandra Meier, Carin J. Meijer, Bela Melegh, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Vihra Milanova, Younes Mokrab, Derek W. Morris, Kieran C. Murphy, Inez Myin-Germeys, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O’Callaghan, Colm O’Dushlaine, F. Anthony O’Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Ulrich Schall, Christian R. Schubert, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Hon-Cheong So, Chris C.A. Spencer, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T. Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Douglas H.R. Blackwood, Ariel Darvasi, Enrico Domenici, Michael Gill, Hugh Gurling, Christina M. Hultman, Assen V. Jablensky, Kenneth S. Kendler, Jo Knight, Qingqin S. Li, Jianjun Liu, Steven A. McCarroll, Jennifer L. Moran, Michael J. Owen, Carlos N. Pato, Danielle Posthuma, Pamela Sklar, Jens R. Wendland, Mark J. Daly, Michael C. O’Donovan, Peter Donnelly, Ines Barroso, Jenefer M. Blackwell, Matthew A. Brown, Juan P. Casas, Panos Deloukas, Audrey Duncanson, Janusz Jankowski, Hugh S. Markus, Christopher G. Mathew, Colin N.A. Palmer, Robert Plomin, Anna Rautanen, Stephen J. Sawcer, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Gavin Band, Céline Bellenguez, Colin Freeman, Eleni Giannoulatou, Garrett Hellenthal, Richard Pearson, Matti Pirinen, Amy Strange, Zhan Su, Damjan Vukcevic, Cordelia Langford, Hannah Blackburn, Suzannah J. Bumpstead, Serge Dronov, Sarah Edkins, Matthew Gillman, Emma Gray, Rhian Gwilliam, Naomi Hammond, Sarah E. Hunt, Alagurevathi Jayakumar, Jennifer Liddle, Owen T. McCann, Simon C. Potter, Radhi Ravindrarajah, Michelle Ricketts, Avazeh Tashakkori-Ghanbaria, Matthew Waller, Paul Weston, Pamela Whittaker, Sara Widaa, Mark I. McCarthy, Maria J. Arranz, Steven Bakker, Stephan Bender, Benedicto Crespo-Facorro, Jeremy Hall, Conrad Iyegbe, Stephen Lawrie, Kuang Lin, Don H. Linszen, Ignacio Mata, Muriel Walshe, Matthias Weisbrod, Durk Wiersma, Vassily Trubetskoy, Yunpeng Wang, Jonathan R.I. Coleman, Héléna A. Gaspar, Christiaan A. de Leeuw, Jennifer M. Whitehead Pavlides, Maciej Trzaskowski, Enda M. Byrne, Liam Abbott, Huda Akil, Diego Albani, Ney Alliey-Rodriguez, Adebayo Anjorin, Verneri Antilla, Swapnil Awasthi, Judith A. Badner, Marie Bækvad-Hansen, Jack D. Barchas, Nicholas Bass, Michael Bauer, Richard Belliveau, Carsten Bøcker Pedersen, Erlend Bøen, Marco P. Boks, James Boocock, Monika Budde, William Bunney, Margit Burmeister, Jonas Bybjerg-Grauholm, Miquel Casas, Felecia Cerrato, Kimberly Chambert, Alexander W. Charney, Danfeng Chen, Claire Churchhouse, Toni-Kim Clarke, William Coryell, David W. Craig, Cristiana Cruceanu, Piotr M. Czerski, Anders M. Dale, Simone de Jong, Jurgen Del-Favero, J. Raymond DePaulo, Amanda L. Dobbyn, Ashley Dumont, Torbjørn Elvsåshagen, Chun Chieh Fan, Sascha B. Fischer, Matthew Flickinger, Tatiana M. Foroud, Liz Forty, Christine Fraser, Katrin Gade, Diane Gage, Julie Garnham, Claudia Giambartolomei, Marianne Giørtz Pedersen, Jaqueline Goldstein, Scott D. Gordon, Katherine Gordon-Smith, Elaine K. Green, Melissa J. Green, Tiffany A. Greenwood, Weihua Guan, Martin Hautzinger, Urs Heilbronner, Maria Hipolito, Dominic Holland, Laura Huckins, Jessica S. Johnson, Radhika Kandaswamy, Robert Karlsson, Sarah Kittel-Schneider, Anna C. Koller, Ralph Kupka, Catharina Lavebratt, Jacob Lawrence, William B. Lawson, Markus Leber, Phil H. Lee, Shawn E. Levy, Jun Z. Li, Chunyu Liu, Anna Maaser, Donald J. MacIntyre, Pamela B. Mahon, Lina Martinsson, Steve McCarroll, Peter McGuffin, Melvin G. McInnis, James D. McKay, Helena Medeiros, Sarah E. Medland, Fan Meng, Grant W. Montgomery, Thomas W. Mühleisen, Hoang Nguyen, Caroline M. Nievergelt, Annelie Nordin Adolfsson, Evaristus A. Nwulia, Claire O'Donovan, Loes M. Olde Loohuis, Anil P.S. Ori, Lilijana Oruc, Urban Ösby, Amy Perry, Andrea Pfennig, Eline J. Regeer, Céline S. Reinbold, John P. Rice, Fabio Rivas, Margarita Rivera, Euijung Ryu, Cristina Sánchez-Mora, Alan F. Schatzberg, William A. Scheftner, Nicholas J. Schork, Cynthia Shannon Weickert, Tatyana Shehktman, Paul D. Shilling, Claire Slaney, Janet L. Sobell, Christine Søholm Hansen, Anne T. Spijker, Michael Steffens, John S. Strauss, Szabolcs Szelinger, Robert C. Thompson, Thorgeir E. Thorgeirsson, Jens Treutlein, Helmut Vedder, Weiqing Wang, Stanley J. Watson, Thomas W. Weickert, Simon Xi, Wei Xu, Allan H. Young, Peter Zandi, Peng Zhang, Sebastian Zöllner, Abdel Abdellaoui, Tracy M. Air, Till F.M. Andlauer, Silviu-Alin Bacanu, Aartjan T.F. Beekman, Elisabeth B. Binder, Julien Bryois, Henriette N. Buttenschøn, Na Cai, Enrique Castelao, Jane Hvarregaard Christensen, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Gregory E. Crawford, Gail Davies, Ian J. Deary, Eske M. Derks, Nese Direk, Conor V. Dolan, Erin C. Dunn, Thalia C. Eley, Farnush Farhadi Hassan Kiadeh, Hilary K. Finucane, Jerome C. Foo, Fernando S. Goes, Lynsey S. Hall, Thomas F. Hansen, Ian B. Hickie, Georg Homuth, Carsten Horn, David M. Howard, Marcus Ising, Rick Jansen, Ian Jones, Lisa A. Jones, Eric Jorgenson, Isaac S. Kohane, Julia Kraft, Warren W. Kretzschmar, Zoltán Kutalik, Yihan Li, Penelope A. Lind, Dean F. MacKinnon, Robert M. Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Christel M. Middeldorp, Evelin Mihailov, Francis M. Mondimore, Sara Mostafavi, Matthias Nauck, Bernard Ng, Michel G. Nivard, Dale R. Nyholt, Paul F. O'Reilly, Hogni Oskarsson, Jodie N. Painter, Roseann E. Peterson, Wouter J. Peyrot, Giorgio Pistis, Jorge A. Quiroz, Per Qvist, Saira Saeed Mirza, Robert Schoevers, Eva C. Schulte, Ling Shen, Stanley I. Shyn, Grant C.B. Sinnamon, Johannes H. Smit, Daniel J. Smith, Katherine E. Tansey, Henning Teismann, Wesley Thompson, Pippa A. Thomson, Matthew Traylor, André G. Uitterlinden, Daniel Umbricht, Albert M. van Hemert, Shantel Marie Weinsheimer, Jürgen Wellmann, Yang Wu, Hualin S. Xi, Jian Yang, Futao Zhang, Volker Arolt, Klaus Berger, Udo Dannlowski, Katharina Domschke, Caroline Hayward, Andrew C. Heath, Stefan Kloiber, Glyn Lewis, Pamela AF. Madden, Patrik K. Magnusson, Preben Bo Mortensen, Michael C. O'Donovan, Sara A. Paciga, Nancy L. Pedersen, David J. Porteous, Catherine Schaefer, Henry Völzke, Marco Bortolato, Janita Bralten, Cynthia M. Bulik, Christie L. Burton, Caitlin E. Carey, Lea K. Davis, Laramie E. Duncan, Howard J. Edenberg, Lauren Erdman, Stephen V. Faraone, Slavina B. Goleva, Wei Guo, Christopher Hübel, Laura M. Huckins, Ekaterina A. Khramtsova, Joanna Martin, Carol A. Mathews, Elise Robinson, Eli Stahl, Barbara E. Stranger, Michela Traglia, Raymond K. Walters, Lauren A. Weiss, Stacey J. Winham, Yin Yao, Kristjar Skajaa, Markus Nöthen, Michael Owen, Robert H. Yolken, Niels Plath, Jonathan Mill, Daniel Geschwind, Psychiatry 1, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Functional Genomics, Biological Psychology, APH - Mental Health, APH - Methodology, Sociology and Social Gerontology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Blokland, Gabriella AM, Grove, Jakob, Chen, Chia Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Lee, Sang Hong, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Complex Trait Genetics, and ANS - Mood, Anxiety, Psychosis, Stress & Sleep
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0301 basic medicine ,Male ,Bipolar Disorder ,Schizophrenia/genetics ,LD SCORE REGRESSION ,Genome-wide association study ,0302 clinical medicine ,Receptors ,SCHIZOPHRENIA ,Psychotic Disorders/genetics ,KYNURENINE PATHWAY METABOLISM ,Genetics ,RISK ,Sex Characteristics ,Vascular Endothelial Growth Factor ,Bipolar Disorder/genetics ,Major/genetics ,Single Nucleotide ,AFFECTIVE STIMULI IMPACT ,Schizophrenia ,Sulfurtransferases ,Major depressive disorder ,Female ,Depressive Disorder, Major/genetics ,Bipolar disorder ,Locus (genetics) ,Genomics ,Biology ,Polymorphism, Single Nucleotide ,Article ,DYSPHORIC MOOD ,03 medical and health sciences ,Sex differences ,medicine ,Humans ,Genetic Predisposition to Disease ,ddc:610 ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Genotype-by-sex interaction ,Biological Psychiatry ,Depressive Disorder, Major ,Depressive Disorder ,GENDER-DIFFERENCES ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,PARAVENTRICULAR NUCLEUS ,3112 Neurosciences ,Endothelial Cells ,MAJOR DEPRESSION ,medicine.disease ,Genetic architecture ,030104 developmental biology ,Mood ,Receptors, Vascular Endothelial Growth Factor ,Psychotic Disorders ,3111 Biomedicine ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Contains fulltext : 248656.pdf (Publisher’s version ) (Closed access) BACKGROUND: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS: Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10(-8)), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10(-6)) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10(-7); rs73033497, p = 8.8 × 10(-7); rs7914279, p = 6.4 × 10(-7)), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10(-7)) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10(-7)), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10(-7)) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
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- 2022
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36. Hippocampal Connectivity With the Default Mode Network Is Linked to Hippocampal Volume in the Clinical High Risk for Psychosis Syndrome and Healthy Individuals
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Katrina Aberizk, Esra Sefik, Jean Addington, Alan Anticevic, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William S. Stone, Ming T. Tsuang, Scott W. Woods, and Elaine F. Walker
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Clinical Psychology - Abstract
Reduced hippocampal volume is an established brain morphological feature of psychiatric conditions. Hippocampal volume is associated with brain connectivity in humans and nonhuman animals, and altered connectivity is associated with risk for psychiatric illness. Associations between hippocampal volume and connectivity are poorly characterized in humans, especially in phases of psychiatric illness that precede disease onset. This study examined associations between hippocampal volume and hippocampal functional connectivity during rest in 141 healthy control participants and 248 individuals at risk for psychosis. Significant inverse associations between hippocampal volume and hippocampal functional connectivity with the inferior parietal lobe (IPL) and thalamus were observed. Select associations between hippocampal functional connectivity and hippocampal volume were moderated by diagnostic group. Significant moderation results shifted from implicating the IPL to the temporal pole after we excluded participants on antipsychotic medication. Considered together, these findings imply that hippocampal functional connectivity with the temporoparietal junction, within a specialized subsystem of the default mode network, is sensitive to hippocampal volume.
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- 2023
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37. Folded RNA from an Intron of One Gene Might Inhibit Expression of a Counteracting Gene.
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Clark D. Jeffries, Michael Jarstfer, and Diana O. Perkins
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- 2005
38. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk
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Meghan A. Collins, Jie Lisa Ji, Yoonho Chung, Cole A. Lympus, Yvette Afriyie-Agyemang, Jean M. Addington, Bradley G. Goodyear, Carrie E. Bearden, Kristin S. Cadenhead, Heline Mirzakhanian, Ming T. Tsuang, Barbara A. Cornblatt, Ricardo E. Carrión, Matcheri Keshavan, Wiliam S. Stone, Daniel H. Mathalon, Diana O. Perkins, Elaine F. Walker, Scott W. Woods, Albert R. Powers, Alan Anticevic, and Tyrone D. Cannon
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Male ,Pediatric ,Psychiatry ,Adolescent ,Prevention ,Psychology and Cognitive Sciences ,Neurosciences ,Prodromal Symptoms ,Cerebral Cortical Thinning ,Biological Sciences ,Serious Mental Illness ,Medical and Health Sciences ,Brain Disorders ,Cellular and Molecular Neuroscience ,Psychiatry and Mental health ,Mental Health ,Psychotic Disorders ,Clinical Research ,Behavioral and Social Science ,Ethnicity ,Humans ,Female ,Longitudinal Studies ,Molecular Biology ,Minority Groups - Abstract
Progressive grey matter loss has been demonstrated among clinical high-risk (CHR) individuals who convert to psychosis, but it is unknown whether these changes occur prior to psychosis onset. Identifying illness-related neurobiological mechanisms that occur prior to conversion is essential for targeted early intervention. Among participants in the third wave of the North American Prodrome Longitudinal Study (NAPLS3), this report investigated if steeper cortical thinning was observable prior to psychosis onset among CHR individuals who ultimately converted (CHR-C) and assessed the shortest possible time interval in which rates of cortical thinning differ between CHR-C, CHR non-converters (CHR-NC), and health controls (HC). 338 CHR-NC, 42 CHR-C, and 62 HC participants (age 19.3±4.2, 44.8% female, 52.5% racial/ethnic minority) completed up to 5 MRI scans across 8 months. Accelerated thinning among CHR-C compared to CHR-NC and HC was observed in multiple prefrontal, temporal, and parietal cortical regions. CHR-NC also exhibited accelerated cortical thinning compared to HC in several of these areas. Greater percent decrease in cortical thickness was observed among CHR-C compared to other groups across 2.9±1.8 months, on average, in several cortical areas. ROC analyses discriminating CHR-C from CHR-NC by percent thickness change in a left hemisphere region of interest, scanner, age, age2, and sex had an AUC of 0.74, with model predictive power driven primarily by percent thickness change. Findings indicate that accelerated cortical thinning precedes psychosis onset and differentiates CHR-C from CHR-NC and HC across short time intervals. Mechanisms underlying cortical thinning may provide novel treatment targets prior to psychosis onset.
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- 2021
39. Family history of psychosis in youth at clinical high risk: A replication study
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Olga Santesteban-Echarri, Danah Sandel, Lu Liu, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, William S. Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, and Jean Addington
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Risk ,Psychiatry and Mental health ,Adolescent ,Psychotic Disorders ,Humans ,Prodromal Symptoms ,Longitudinal Studies ,Biological Psychiatry - Abstract
Having a first-degree relative with a psychotic disorder increases an individual's risk for developing psychosis to 10% compared to 1% in the general population. The impact of being at family high-risk for psychosis (FHR) has been examined in samples of youth who are at clinical high-risk for psychosis (CHR). The second North American Prodrome Longitudinal Study (NAPLS-2) identified very few clinical differences between CHR individuals with and without FHR. This paper aims to confirm these results in a new CHR sample, NAPLS-3. The NAPLS-3 sample consisted of 703 CHR participants, of whom 82 were at FHR (CHR+FHR), and 621 were not (CHR+FHRneg). The Family Interview for Genetic Studies was used to determine the presence of a first-degree relative with a psychotic disorder. The groups were compared on social and role functioning, positive and negative symptoms, IQ, cannabis use, and trauma. At baseline, the CHR+FHR group reported a statistically significant increased severity of positive and negative symptoms, lower IQ scores, and increased reports of trauma, psychological and physical abuse. There were no differences in transition rates between the two groups. This study supports some of the already reported differences in trauma, physical and psychological abuse between CHR individuals with and without FHR.
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- 2021
40. Longitudinal impact of trauma in the North American Prodrome Longitudinal Study-3
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Megan S. Farris, Amy Braun, Lu Liu, Carrie E. Bearden, Kristin S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, William S. Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon, and Jean Addington
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Psychiatry and Mental health ,Psychotic Disorders ,North America ,Humans ,Prodromal Symptoms ,Longitudinal Studies ,Pshychiatric Mental Health ,Biological Psychiatry - Abstract
Individuals at clinical high risk (CHR) for psychosis have been shown to experience more trauma than the general population. However, although the effects of trauma appear to impact some symptoms it does not seem to increase the risk of transition to psychosis. The aim of this article was to examine the prevalence of trauma, and its association with longitudinal clinical and functional outcomes in a large sample of CHR individuals.From the North American Prodrome Longitudinal Study-3 (NAPLS-3) 690 CHR individuals and 91 healthy controls from nine study sites between 2015 and 2018 were assessed. Historical trauma experiences were captured at baseline. Participants completed longitudinal assessments measuring clinical outcomes including positive and negative symptoms, depression, social and role functioning and assessing transition to psychosis.From the 690 CHR participants and 96 healthy controls, 343 (49.6%) and 15 (15.6%), respectively, reported a history of trauma (p .001). Emotional neglect (70.3%) was the most commonly reported type of trauma, followed by psychological abuse (57.4%). Among CHR participants, time to transition to psychosis was not associated with trauma. Baseline depression and suspiciousness/persecutory ideas were statistically significantly different between CHR individuals who did or did not experience trauma. However, when examining clinical and functional outcomes over 12-months of follow-up, there were no differences between those who experienced trauma and those who did not.Overall, trauma is a significantly prevalent among CHR individuals. The effects of trauma on transition and longitudinal clinical and functional outcomes were not significant.
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- 2021
41. Cannabis use and attenuated positive and negative symptoms in youth at clinical high risk for psychosis
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Olga Santesteban-Echarri, Lu Liu, Madeline Miller, Carrie E. Bearden, Kristin S. Cadenhead, Tyrone D. Cannon, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, William S. Stone, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, and Jean Addington
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Adult ,Risk ,Adolescent ,Substance-Related Disorders ,Prodromal Symptoms ,Psychiatry and Mental health ,Young Adult ,Psychotic Disorders ,Humans ,Longitudinal Studies ,Prospective Studies ,Child ,Biological Psychiatry ,Cannabis - Abstract
Cannabis use is more prevalent among youth at clinical high-risk (CHR) for psychosis than healthy controls (HC). There is mixed evidence as to whether cannabis use is associated with increased severity of attenuated psychotic symptoms (APS) or whether current cannabis use is associated with the transition to psychosis. This study aims to assess cannabis use differences between CHR youth and HC and the impact of cannabis use on APS, clinical status, and transition to psychosis. Participants were from the North American Prodrome Longitudinal Study-3, a prospective longitudinal study including 710 individuals, age 12-30, meeting criteria for a psychosis risk syndrome based on the Structured Interview for Psychosis-Risk Syndromes, and 96 HC. Cannabis use, frequency, and severity of use were assessed with the Alcohol Use Scale/Drug Use Scale. Current and past cannabis use disorders were assessed with the Structured Clinical Interview for DSM-5. Compared to HC, CHR individuals reported significantly increased lifetime cannabis use, during the past six months, and at baseline; greater frequency and severity of cannabis use; and increased prevalence of cannabis use disorder. Relative to CHR youth without cannabis use, CHR cannabis users had significantly higher ratings on baseline grandiosity and lower 12-months social anhedonia. Severity of cannabis was unrelated to clinical status at 2-years, and it did not differentiate CHR individuals who transitioned to psychosis from those who did not. However, a major limitation was that the current number of CHR cannabis users was small, and survival analyses resulted in a smaller power than the 80 % recommended.
- Published
- 2021
42. 2.2 Risk of Violent Behavior in Young Adults at Clinical High Risk for Psychosis From the North American Prodrome Longitudinal Studies Consortium
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Lauren N. Tronick, Heline Mirzakhanian, Jean Addington, Carrie E. Bearden, Tyrone Cannon, Barbara Cornblatt, Matcheri Keshavan, Daniel Mathalon, Thomas H. McGlashan, Diana O. Perkins, William Stone, Ming Tsuang, Elaine Walker, Scott W. Woods, and Kristin Cadenhead
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Psychiatry and Mental health ,Developmental and Educational Psychology - Published
- 2022
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43. Individualized Prediction of Prodromal Symptom Remission for Youth at Clinical High Risk for Psychosis
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Carrie E. Bearden, Elaine F. Walker, Michelle A. Worthington, Kristin S. Cadenhead, William S. Stone, Daniel H. Mathalon, Jean Addington, Tyrone D. Cannon, Barbara A. Cornblatt, Diana O. Perkins, Scott W. Woods, Thomas H. McGlashan, Matcheri S. Keshavan, and Ming T. Tsuang
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Adult ,Male ,Psychosis ,Longitudinal study ,Adolescent ,media_common.quotation_subject ,clinical high risk ,Prodromal Symptoms ,Medical and Health Sciences ,Risk Assessment ,Prodrome ,Machine Learning ,risk prediction ,remission ,Clinical Research ,medicine ,Humans ,Generalizability theory ,psychosis ,Longitudinal Studies ,Child ,media_common ,First episode ,Pediatric ,Psychiatry ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,Remission Induction ,medicine.disease ,Serious Mental Illness ,Brain Disorders ,schizophrenia ,Psychiatry and Mental health ,Mental Health ,Good Health and Well Being ,Psychotic Disorders ,Schizophrenia ,Predictive power ,Disease Progression ,Female ,Psychological resilience ,business ,Clinical psychology ,Regular Articles - Abstract
The clinical high-risk period before a first episode of psychosis (CHR-P) has been widely studied with the goal of understanding the development of psychosis; however, less attention has been paid to the 75%–80% of CHR-P individuals who do not transition to psychosis. It is an open question whether multivariable models could be developed to predict remission outcomes at the same level of performance and generalizability as those that predict conversion to psychosis. Participants were drawn from the North American Prodrome Longitudinal Study (NAPLS3). An empirically derived set of clinical and demographic predictor variables were selected with elastic net regularization and were included in a gradient boosting machine algorithm to predict prodromal symptom remission. The predictive model was tested in a comparably sized independent sample (NAPLS2). The classification algorithm developed in NAPLS3 achieved an area under the curve of 0.66 (0.60–0.72) with a sensitivity of 0.68 and specificity of 0.53 when tested in an independent external sample (NAPLS2). Overall, future remitters had lower baseline prodromal symptoms than nonremitters. This study is the first to use a data-driven machine-learning approach to assess clinical and demographic predictors of symptomatic remission in individuals who do not convert to psychosis. The predictive power of the models in this study suggest that remission represents a unique clinical phenomenon. Further study is warranted to best understand factors contributing to resilience and recovery from the CHR-P state.
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- 2021
44. Sleep Disturbance in Individuals at Clinical High Risk for Psychosis
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Jean Addington, William S. Stone, Carrie E. Bearden, Scott W. Woods, Eva Velthorst, Ming T. Tsuang, Tyrone D. Cannon, Muhammad A. Parvaz, Kristin S. Cadenhead, Daniel J. Buysse, Barbara A. Cornblatt, Thomas H. McGlashan, Diana O. Perkins, Nina Zaks, Jamie Zinberg, Daniel H. Mathalon, Tjasa Velikonja, Matcheri S. Keshavan, Monica Done, and Elaine F. Walker
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Adult ,Male ,Risk ,Sleep Wake Disorders ,Psychosis ,Longitudinal study ,Adolescent ,Prodromal Symptoms ,Pittsburgh Sleep Quality Index ,Prodrome ,Young Adult ,Medicine ,Humans ,Longitudinal Studies ,Depression (differential diagnoses) ,Sleep disorder ,business.industry ,medicine.disease ,Prognosis ,Sleep in non-human animals ,Psychiatry and Mental health ,Psychotic Disorders ,Schizophrenia ,North America ,Disease Progression ,Female ,business ,Clinical psychology ,Regular Articles - Abstract
Introduction Disturbed sleep is a common feature of psychotic disorders that is also present in the clinical high risk (CHR) state. Evidence suggests a potential role of sleep disturbance in symptom progression, yet the interrelationship between sleep and CHR symptoms remains to be determined. To address this knowledge gap, we examined the association between disturbed sleep and CHR symptoms over time. Methods Data were obtained from the North American Prodrome Longitudinal Study (NAPLS)-3 consortium, including 688 CHR individuals and 94 controls (mean age 18.25, 46% female) for whom sleep was tracked prospectively for 8 months. We used Cox regression analyses to investigate whether sleep disturbances predicted conversion to psychosis up to >2 years later. With regressions and cross-lagged panel models, we analyzed longitudinal and bidirectional associations between sleep (the Pittsburgh Sleep Quality Index in conjunction with additional sleep items) and CHR symptoms. We also investigated the independent contribution of individual sleep characteristics on CHR symptom domains separately and explored whether cognitive impairments, stress, depression, and psychotropic medication affected the associations. Results Disturbed sleep at baseline did not predict conversion to psychosis. However, sleep disturbance was strongly correlated with heightened CHR symptoms over time. Depression accounted for half of the association between sleep and symptoms. Importantly, sleep was a significant predictor of CHR symptoms but not vice versa, although bidirectional effect sizes were similar. Discussion The critical role of sleep disturbance in CHR symptom changes suggests that sleep may be a promising intervention target to moderate outcome in the CHR state.
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- 2021
45. Bullying in clinical high risk for psychosis participants from the NAPLS-3 cohort
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Amy, Braun, Lu, Liu, Carrie E, Bearden, Kristin S, Cadenhead, Barbara A, Cornblatt, Matcheri, Keshavan, Daniel H, Mathalon, Thomas H, McGlashan, Diana O, Perkins, Larry J, Seidman, William, Stone, Ming T, Tsuang, Elaine F, Walker, Scott W, Woods, Tyrone D, Cannon, and Jean, Addington
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Cohort Studies ,Psychotic Disorders ,Risk Factors ,Bullying ,Humans ,Prodromal Symptoms - Abstract
Bullying is associated with a heightened risk for poor outcomes, including psychosis. This study aimed to replicate previous findings on bullying prevalence in clinical high-risk (CHR) individuals, to assess the longitudinal course of clinical and functional variables between bullied and non-bullied CHR and the association of bullying with premorbid functioning, clinical outcome, transition to psychosis and risk of violence.The sample consisted of 691 CHR participants and 96 healthy controls. Participants reported whether they had experienced bullying and how long it had lasted. Assessments included DSM-5 diagnoses, attenuated psychotic symptoms, negative symptoms, social and role functioning, depression, stress, premorbid functioning, and risk of violence. The bullied and non-bullied CHR groups were compared at baseline and further longitudinally on clinical and functioning variables and transition to psychosis.Bullying was more prevalent among CHR individuals than healthy controls. Bullied CHR had a higher prevalence of PTSD and more severe depression and stress at baseline than non-bullied CHR. There was no impact of bullying on clinical and functional variables over time. Bullying was not related to final clinical status or transition to psychosis. However, bullied participants had poorer premorbid functioning and a greater risk of violence.While bullying may not impact the likelihood of CHR individuals to transition to psychosis, it may be a risk factor for development of the at-risk state and may be related to a greater risk of violence. Future studies should consider bullying perpetration among CHR individuals.
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- 2021
46. Depression Predicts Global Functional Outcomes in Individuals at Clinical High Risk for Psychosis
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Elaine F. Walker, Scott W. Woods, Diana O. Perkins, Wisteria Deng, Carrie E. Bearden, Larry J. Seidman, Barbara A. Cornblatt, Thomas H. McGlashan, Kristin S. Cadenhead, Jutta Joormann, Jean Addington, Ming T. Tsuang, Daniel H. Mathalon, and Tyrone D. Cannon
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Psychosis ,medicine.medical_specialty ,RC435-571 ,Clinical Research ,mental disorders ,2.1 Biological and endogenous factors ,Medicine ,Aetiology ,Psychiatry ,Depression (differential diagnoses) ,screening and diagnosis ,Depression ,business.industry ,Prevention ,Rehabilitation ,Serious Mental Illness ,medicine.disease ,Brain Disorders ,Detection ,Mental Health ,Schizophrenia ,business ,General Economics, Econometrics and Finance ,4.2 Evaluation of markers and technologies - Abstract
ObjectivesWhile co-morbid depression is associated with poor functional outcome among patients with schizophrenia, whether depression similarly predicts poorer outcomes in individuals at clinical high-risk for psychosis (CHR-P) is not clear. The present study aimed to examine depressive symptoms in relation to long-term global functional outcomes in the North American Prodrome Longitudinal Study cohort (NAPLS2).MethodsCHR individuals were evaluated clinically at baseline and at 12- and 24-month follow-ups for depressive and prodromal symptom severity as well as general functioning. Regression models were built to investigate whether baseline positive and depressive symptom scores predicted longitudinal improvement in global functioning.ResultsA total of 406 CHR individuals completed the 12-month follow-up assessment and 259 CHR individuals completed the 24-month assessment. Baseline depressive symptoms in the CHR-P population were found to predict better global functional outcomes at 2years. Furthermore, the degree of recovery of depressive symptoms in the first year following baseline completely mediated the association between depressive symptoms at baseline and functional improvement at 2years.ConclusionsPresence of affective symptoms within the CHR-P population has different implications for prognosis compared with patients with schizophrenia. The present findings support the view that among those at risk for psychosis, depressive symptoms at baseline predict a more favorable course of functional recovery, and highlight the potential importance of treating co-occurring depressive symptoms at an early stage of psychosis risk.
- Published
- 2021
47. Towards generalizable and transdiagnostic tools for psychosis prediction.: An independent validation and improvement of the NAPLS-2 risk calculator in the multi-site PRONIA cohort
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Peter Falkai, Lana Kambeitz-Ilankovic, Stephan Ruhrmann, Larry J. Seidman, Barbara A. Cornblatt, Dominic B. Dwyer, Rebekka Lencer, Alan Anticevic, Stephen J. Wood, Thomas H. McGlashan, Scott W. Woods, Diana O. Perkins, Eva Meisenzahl, Joseph Kambeitz, Michelle A. Worthington, Rachele Sanfelici, Rachel Upthegrove, Jean Addington, Philip McGuire, Marlene Rosen, Kristin S. Cadenhead, Paolo Fusar-Poli, Nikolaos Koutsouleris, Raquel E. Gur, Tyrone D. Cannon, Paolo Brambilla, Daniel H. Mathalon, Frauke Schultze-Lutter, Alessandro Bertolino, Carrie E. Bearden, Elaine F. Walker, Ming T. Tsuang, Stefan Borgwardt, Raimo K. R. Salokangas, and Jarmo Hietala
- Subjects
Psychosis ,Longitudinal study ,medicine.medical_specialty ,Population ,Prodromal Symptoms ,Logistic regression ,Medical and Health Sciences ,Article ,Prodrome ,Psychosis prediction ,Risk Factors ,Internal medicine ,Machine learning ,medicine ,Humans ,Longitudinal Studies ,education ,Biological Psychiatry ,Depression (differential diagnoses) ,Psychiatry ,education.field_of_study ,business.industry ,Prevention ,Psychology and Cognitive Sciences ,Biological Sciences ,medicine.disease ,Prognosis ,First-episode depression ,Brain Disorders ,Clinical trial ,Clinical high-risk states ,Mental Health ,Good Health and Well Being ,Reciprocal external validation ,Psychotic Disorders ,Cohort ,Risk calculators ,sense organs ,Patient Safety ,business - Abstract
Background Transition to psychosis is among the most adverse outcomes of clinical high-risk (CHR) syndromes encompassing ultra-high risk (UHR) and basic symptom states. Clinical risk calculators may facilitate an early and individualized interception of psychosis, but their real-world implementation requires thorough validation across diverse risk populations, including young patients with depressive syndromes. Methods We validated the previously described NAPLS-2 (North American Prodrome Longitudinal Study 2) calculator in 334 patients (26 with transition to psychosis) with CHR or recent-onset depression (ROD) drawn from the multisite European PRONIA (Personalised Prognostic Tools for Early Psychosis Management) study. Patients were categorized into three risk enrichment levels, ranging from UHR, over CHR, to a broad-risk population comprising patients with CHR or ROD (CHR|ROD). We assessed how risk enrichment and different predictive algorithms influenced prognostic performance using reciprocal external validation. Results After calibration, the NAPLS-2 model predicted psychosis with a balanced accuracy (BAC) (sensitivity, specificity) of 68% (73%, 63%) in the PRONIA-UHR cohort, 67% (74%, 60%) in the CHR cohort, and 70% (73%, 66%) in patients with CHR|ROD. Multiple model derivation in PRONIA–CHR|ROD and validation in NAPLS-2–UHR patients confirmed that broader risk definitions produced more accurate risk calculators (CHR|ROD-based vs. UHR-based performance: 67% [68%, 66%] vs. 58% [61%, 56%]). Support vector machines were superior in CHR|ROD (BAC = 71%), while ridge logistic regression and support vector machines performed similarly in CHR (BAC = 67%) and UHR cohorts (BAC = 65%). Attenuated psychotic symptoms predicted psychosis across risk levels, while younger age and reduced processing speed became increasingly relevant for broader risk cohorts. Conclusions Clinical-neurocognitive machine learning models operating in young patients with affective and CHR syndromes facilitate a more precise and generalizable prediction of psychosis. Future studies should investigate their therapeutic utility in large-scale clinical trials.
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- 2021
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48. Impact of childhood adversity on corticolimbic volumes in youth at clinical high-risk for psychosis
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Larry J. Seidman, Carrie E. Bearden, Elaine F. Walker, Daniel H. Mathalon, Allison M. LoPilato, Scott W. Woods, Ming T. Tsuang, Jean Addington, Thomas H. McGlashan, Kristin S. Cadenhead, Barbara A. Cornblatt, Diana O. Perkins, Katrina Goines, and Tyrone D. Cannon
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Male ,Risk ,Psychosis ,Longitudinal study ,Adolescent ,media_common.quotation_subject ,Hippocampus ,Cortical volume ,Neglect ,Young Adult ,03 medical and health sciences ,Risk model ,0302 clinical medicine ,Adverse Childhood Experiences ,Limbic System ,medicine ,Humans ,Child Abuse ,Longitudinal Studies ,Child ,Mri scan ,Poverty ,Biological Psychiatry ,media_common ,Cerebral Cortex ,Mechanism (biology) ,medicine.disease ,Magnetic Resonance Imaging ,030227 psychiatry ,Psychiatry and Mental health ,Psychotic Disorders ,Hippocampal volume ,Female ,Psychology ,030217 neurology & neurosurgery ,Clinical psychology - Abstract
Childhood adversity is among the strongest risk factors for psychosis-spectrum disorders, though the nature and specificity of the biological mechanisms underlying this association remains unclear. Previous research reveals overlaps in the volumetric alterations observed in both adversity-exposed individuals and in psychosis-spectrum populations, highlighting the possibility that deviations in corticolimbic gray matter development may be one mechanism linking adversity and psychosis. Given that childhood adversity encompasses a wide range of adverse experiences, there is also a critical need to examine whether these different types of experiences have unique effects on corticolimbic regions. This study examined the association between childhood adversity and cortical, hippocampal, and amygdalar volume in a large sample of youth at clinical-high risk (CHR) for psychosis. We utilized a novel differentiated adversity approach that distinguishes exposures along dimensions of threat (e.g., abuse) and deprivation (e.g., poverty, neglect) to test for differential associations. Participants were drawn from the North American Prodromal Longitudinal Study (NAPLS) and completed an MRI scan and a retrospective assessment of childhood adversity at baseline. We found that deprivation exposure, but not threat, was uniquely associated with smaller cortical volume and smaller right hippocampal volume in CHR youth. These associations were masked in a generalized risk model that utilized a total adversity score. The findings suggest that deprivation exposures during childhood contribute to the subtle volumetric reductions observed in clinical high-risk samples and highlight the importance of disentangling different dimensions of adversity.
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- 2019
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49. Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry
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António Macedo, Patrick F. Sullivan, Pamela Sklar, Diana O. Perkins, David L. Braff, Eric D. Achtyes, Roman Kotov, Eli A. Stahl, Maria Helena Pinto de Azevedo, Colm O'Dushlaine, Elizabeth Bevilacqua, Célia Barreto Carvalho, Marquis P. Vawter, James Nemesh, Edward M. Scolnick, Jacquelyn L. Meyers, Jorge Valderrama, Shaun Purcell, Becky Kinkead, Douglas S. Lehrer, Peter F. Buckley, William Byerley, Humberto Nicolini, Fabio Macciardi, James L. Kennedy, Michael Escamilla, Ruben C. Gur, Dolores Malaspina, Ashley Dumont, Giulio Genovese, Helena Medeiros, Penelope Georgakopoulos, Colony Abbott, Diane Gage, Carlos N. Pato, Brooke M. Sklar, Roseann E. Peterson, Jordan W. Smoller, Steven A. McCarroll, Raquel E. Gur, Ayman H. Fanous, Laura J. Fochtmann, Stephen R. Marder, Sinéad B. Chapman, Mark Hyman Rapaport, James A. Knowles, Michele T. Pato, Janet L. Sobell, Evelyn J. Bromet, Conrad Iyegbe, Lynn E DeLisi, Jeffrey J. Rakofsky, Oleg V. Evgrafov, Jennifer L. Moran, Christopher P. Morley, Tim B. Bigdeli, Richard A. Belliveau, and Mantosh J. Dewan
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Male ,0301 basic medicine ,Linkage disequilibrium ,Population ,Black People ,Genomics ,Biology ,Polymorphism, Single Nucleotide ,Article ,European descent ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Genetics ,Humans ,Genetic Predisposition to Disease ,education ,Molecular Biology ,Genetic association ,education.field_of_study ,Genetic variants ,Hispanic or Latino ,Heritability ,Psychiatry and Mental health ,030104 developmental biology ,Genetic Loci ,Schizophrenia ,Etiology ,Female ,030217 neurology & neurosurgery ,Genome-Wide Association Study ,Demography - Abstract
Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting that variation predating the human diaspora out of Africa harbors a large fraction of the common variant attributable heritability. However, common variant association studies in schizophrenia have concentrated mainly on cohorts of European descent. We describe genome-wide association studies of 6152 cases and 3918 controls of admixed African ancestry, and of 1234 cases and 3090 controls of Latino ancestry, representing the largest such study in these populations to date. Combining results from the samples with African ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC) study of schizophrenia yielded seven newly genome-wide significant loci, and we identified an additional eight loci by incorporating the results from samples with Latino ancestry. Leveraging population differences in patterns of linkage disequilibrium, we achieve improved fine-mapping resolution at 22 previously reported and 4 newly significant loci. Polygenic risk score profiling revealed improved prediction based on trans-ancestry meta-analysis results for admixed African (Nagelkerke’s R2 = 0.032; liability R2 = 0.017; P −52), Latino (Nagelkerke’s R2 = 0.089; liability R2 = 0.021; P −58), and European individuals (Nagelkerke’s R2 = 0.089; liability R2 = 0.037; P −113), further highlighting the advantages of incorporating data from diverse human populations.
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- 2019
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50. Recommendations and Challenges of the Clinical Services Panel of the PhenX Early Psychosis Working Group
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Diana O. Perkins, Carol Hamilton, Lisa B. Dixon, Nev Jones, Rachel Loewy, Wayne Huggins, and Tamara Sale
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medicine.medical_specialty ,business.industry ,Early psychosis ,Specialty ,medicine.disease ,Mental health ,United States ,030227 psychiatry ,03 medical and health sciences ,Psychiatry and Mental health ,0302 clinical medicine ,Schizophrenia ,Early Medical Intervention ,medicine ,Humans ,030212 general & internal medicine ,Program Development ,Psychiatry ,business ,National Institute of Mental Health (U.S.) ,Software ,Block grant - Abstract
Coordinated specialty care (CSC) is a promising multielement treatment for the care of individuals experiencing the onset of schizophrenia. The community mental health block grant program has increased federal support for CSC programs. In order to maximize the number of sites capable of science-to-service or service-to-science translation, the National Institute of Mental Health funded a supplement to the PhenX toolkit consisting of measures for early psychosis. The early psychosis working group included translational research and clinical services panels. The clinical services panel was charged with identifying low-burden and psychometrically sound measures for use in routine clinical settings. The 19 new clinical measures complement existing measures already in the toolkit. Measures cover a range of domains, including symptoms, social and occupational functioning, well-being, medication adherence and side effects, physical activity, and shared decision making and person-centered care. Several challenges are also discussed. The review process underscored the challenges facing nonacademic sites in collecting even low-burden assessments.
- Published
- 2019
- Full Text
- View/download PDF
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