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1,056 results on '"Voineskos, Aristotle N."'

2. Neurophysiological and other features of working memory in older adults at risk for dementia

Author

Patterson, Rachel A., Brooks, Heather, Mirjalili, Mina, Rashidi-Ranjbar, Neda, Zomorrodi, Reza, Blumberger, Daniel M., Fischer, Corinne E., Flint, Alastair J., Graff-Guerrero, Ariel, Herrmann, Nathan, Kennedy, James L., Kumar, Sanjeev, Lanctôt, Krista L., Mah, Linda, Mulsant, Benoit H., Pollock, Bruce G., Voineskos, Aristotle N., Wang, Wei, and Rajji, Tarek K.

Published
2024
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3. Task-based functional neural correlates of social cognition across autism and schizophrenia spectrum disorders

Author

Oliver, Lindsay D., Moxon-Emre, Iska, Hawco, Colin, Dickie, Erin W., Dakli, Arla, Lyon, Rachael E., Szatmari, Peter, Haltigan, John D., Goldenberg, Anna, Rashidi, Ayesha G., Tan, Vinh, Secara, Maria T., Desarkar, Pushpal, Foussias, George, Buchanan, Robert W., Malhotra, Anil K., Lai, Meng-Chuan, Voineskos, Aristotle N., and Ameis, Stephanie H.

Published
2024
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6. Cognitive function based on theta-gamma coupling vs. clinical diagnosis in older adults with mild cognitive impairment with or without major depressive disorder

Author

Brooks, Heather, Wang, Wei, Zomorrodi, Reza, Blumberger, Daniel M., Bowie, Christopher R., Daskalakis, Zafiris J., Fischer, Corinne E., Flint, Alastair J., Herrmann, Nathan, Kumar, Sanjeev, Lanctôt, Krista L., Mah, Linda, Mulsant, Benoit H., Pollock, Bruce G., Voineskos, Aristotle N., and Rajji, Tarek K.

Published
2024
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8. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium.

Author

Schijven, Dick, Postema, Merel C, Fukunaga, Masaki, Matsumoto, Junya, Miura, Kenichiro, de Zwarte, Sonja MC, van Haren, Neeltje EM, Cahn, Wiepke, Hulshoff Pol, Hilleke E, Kahn, René S, Ayesa-Arriola, Rosa, Ortiz-García de la Foz, Víctor, Tordesillas-Gutierrez, Diana, Vázquez-Bourgon, Javier, Crespo-Facorro, Benedicto, Alnæs, Dag, Dahl, Andreas, Westlye, Lars T, Agartz, Ingrid, Andreassen, Ole A, Jönsson, Erik G, Kochunov, Peter, Bruggemann, Jason M, Catts, Stanley V, Michie, Patricia T, Mowry, Bryan J, Quidé, Yann, Rasser, Paul E, Schall, Ulrich, Scott, Rodney J, Carr, Vaughan J, Green, Melissa J, Henskens, Frans A, Loughland, Carmel M, Pantelis, Christos, Weickert, Cynthia Shannon, Weickert, Thomas W, de Haan, Lieuwe, Brosch, Katharina, Pfarr, Julia-Katharina, Ringwald, Kai G, Stein, Frederike, Jansen, Andreas, Kircher, Tilo TJ, Nenadić, Igor, Krämer, Bernd, Gruber, Oliver, Satterthwaite, Theodore D, Bustillo, Juan, Mathalon, Daniel H, Preda, Adrian, Calhoun, Vince D, Ford, Judith M, Potkin, Steven G, Chen, Jingxu, Tan, Yunlong, Wang, Zhiren, Xiang, Hong, Fan, Fengmei, Bernardoni, Fabio, Ehrlich, Stefan, Fuentes-Claramonte, Paola, Garcia-Leon, Maria Angeles, Guerrero-Pedraza, Amalia, Salvador, Raymond, Sarró, Salvador, Pomarol-Clotet, Edith, Ciullo, Valentina, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Spalletta, Gianfranco, Michielse, Stijn, van Amelsvoort, Therese, Dickie, Erin W, Voineskos, Aristotle N, Sim, Kang, Ciufolini, Simone, Dazzan, Paola, Murray, Robin M, Kim, Woo-Sung, Chung, Young-Chul, Andreou, Christina, Schmidt, André, Borgwardt, Stefan, McIntosh, Andrew M, Whalley, Heather C, Lawrie, Stephen M, du Plessis, Stefan, Luckhoff, Hilmar K, Scheffler, Freda, Emsley, Robin, Grotegerd, Dominik, Lencer, Rebekka, Dannlowski, Udo, Edmond, Jesse T, Rootes-Murdy, Kelly, Stephen, Julia M, Mayer, Andrew R, and Antonucci, Linda A

Subjects
Brain, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Case-Control Studies, Schizophrenia, Female, Male, Functional Laterality, asymmetry, brain imaging, cortical, subcortical, Clinical Research, Mental Health, Neurosciences, Brain Disorders, Mental health
Abstract

Left-right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case-control study of structural brain asymmetries in schizophrenia, with MRI data from 5,080 affected individuals and 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global and regional cortical thickness, surface area, and subcortical volume measures. Differences of asymmetry were calculated between affected individuals and controls per dataset, and effect sizes were meta-analyzed across datasets. Small average case-control differences were observed for thickness asymmetries of the rostral anterior cingulate and the middle temporal gyrus, both driven by thinner left-hemispheric cortices in schizophrenia. Analyses of these asymmetries with respect to the use of antipsychotic medication and other clinical variables did not show any significant associations. Assessment of age- and sex-specific effects revealed a stronger average leftward asymmetry of pallidum volume between older cases and controls. Case-control differences in a multivariate context were assessed in a subset of the data (N = 2,029), which revealed that 7% of the variance across all structural asymmetries was explained by case-control status. Subtle case-control differences of brain macrostructural asymmetry may reflect differences at the molecular, cytoarchitectonic, or circuit levels that have functional relevance for the disorder. Reduced left middle temporal cortical thickness is consistent with altered left-hemisphere language network organization in schizophrenia.

Published
2023

16. Neuroimaging and Biosample Collection in the Toronto Adolescent and Youth Cohort Study: Rationale, Methods, and Early Data

Author

Aitken, Madison, Ameis, Stephanie H., Andrade, Brendan F., Battaglia, Marco, Boileau, Isabelle, Cleverley, Kristin, Courtney, Darren B., Diaconescu, Andreea O., Dickie, Erin W., Felsky, Daniel, Foussias, George, Goldstein, Benjamin I., Gonçalves, Vanessa, Hamilton, Hayley, Griffiths, John D., Haltigan, John D., Hawke, Lisa D., Hill, Sean, Husain, Muhammad Omair, Jani, Melanie, Kidd, Sean A., Kozloff, Nicole, Kurdyak, Paul, Lai, Meng-Chuan, Lewis, Stephen P., Levitan, Robert D., Lin, Hsiang-Yuan, Lunsky, Yona, Mohan, Akshay, Nikolova, Yuliya S., Osman, Sam, Pascoe, Shannon, Polillo, Alexia, Putterman, Connie, Rotenberg, Martin, Quilty, Lena C., Sivakumar, Harijah, Szatmari, Peter, Tempelaar, Wanda, Vasdev, Neil, Wang, Wei, Wheeler, Anne L., van der Miesen, Anna I.R., Vieira, Erica L., Voineskos, Aristotle N., Husain, Muhammad O., Rubin-Kahana, Dafna S., Iftikhar, Myera, MacIntosh, Bradley J., Vieira, Erica, Ahmadzadeh, Ghazaleh, Heyland, Lindsay, Ogunsanya, Feyi, Oliver, Lindsay D., Zhu, Cherrie, Wong, Jimmy K.Y., Charlton, Colleen, Truong, Jennifer, Yu, Lujia, and Kelly, Rachel

Published
2024
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17. Cognition and Educational Achievement in the Toronto Adolescent and Youth Cohort Study: Rationale, Methods, and Early Data

Author

Aitken, Madison, Ameis, Stephanie H., Andrade, Brendan F., Battaglia, Marco, Boileau, Isabelle, Cleverley, Kristin, Courtney, Darren B., Diaconescu, Andreea O., Dickie, Erin W., Felsky, Daniel, Foussias, George, Goldstein, Benjamin I., Gonçalves, Vanessa, Griffiths, John D., Haltigan, John D., Hamilton, Hayley, Hawke, Lisa D., Hill, Sean, Husain, Muhammad Omair, Jani, Melanie, Kidd, Sean A., Kozloff, Nicole, Kurdyak, Paul, Lai, Meng-Chuan, Lewis, Stephen P., Levitan, Robert D., Lin, Hsiang-Yuan, Lunsky, Yona, Mohan, Akshay, Nikolova, Yuliya S., Osman, Sam, Pascoe, Shannon, Polillo, Alexia, Putterman, Connie, Rotenberg, Martin, Rubin-Kahana, Dafna Sara, Quilty, Lena C., Sivakumar, Harijah, Szatmari, Peter, Tempelaar, Wanda, Vasdev, Neil, Wang, Wei, Wheeler, Anne L., van der Miesen, Anna I.R., Vieira, Erica L., Voineskos, Aristotle N., Chen, Sheng, Wong, Jimmy K.Y., Lau, Chloe, Sedrak, Andrew B., and Kelly, Rachel

Published
2024
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18. The Toronto Adolescent and Youth Cohort Study: Study Design and Early Data Related to Psychosis Spectrum Symptoms, Functioning, and Suicidality

Author

Aitken, Madison, Ameis, Stephanie H., Andrade, Brendan F., Battaglia, Marco, Boileau, Isabelle, Cleverley, Kristin, Courtney, Darren B., Diaconescu, Andreea O., Dickie, Erin W., Felsky, Daniel, Foussias, George, Goldstein, Benjamin I., Gonçalves, Vanessa, Griffiths, John D., Haltigan, John D., Hamilton, Hayley, Hawke, Lisa D., Hill, Sean, Husain, Muhammad Omair, Jani, Melanie, Kidd, Sean A., Kozloff, Nicole, Kurdyak, Paul, Lai, Meng-Chuan, Lewis, Stephen P., Levitan, Robert D., Lin, Hsiang-Yuan, Lunsky, Yona, Mohan, Akshay, Nikolova, Yuliya S., Osman, Sam, Pascoe, Shannon, Polillo, Alexia, Putterman, Connie, Rotenberg, Martin, Rubin-Kahana, Dafna Sara, Quilty, Lena C., Sivakumar, Harijah, Szatmari, Peter, Tempelaar, Wanda, Vasdev, Neil, Wang, Wei, Wheeler, Anne L., van der Miesen, Anna I.R., Vieira, Erica L., Voineskos, Aristotle N., Mahleka, Don, Frayne, Margot, Wong, Jimmy K.Y., Kelly, Rachel, Kidd, Sean, and Ahmadzadasl, Masoud

Published
2024
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20. Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Author

Schilling, Kurt G, Rheault, François, Petit, Laurent, Hansen, Colin B, Nath, Vishwesh, Yeh, Fang-Cheng, Girard, Gabriel, Barakovic, Muhamed, Rafael-Patino, Jonathan, Yu, Thomas, Fischi-Gomez, Elda, Pizzolato, Marco, Ocampo-Pineda, Mario, Schiavi, Simona, Canales-Rodríguez, Erick J, Daducci, Alessandro, Granziera, Cristina, Innocenti, Giorgio, Thiran, Jean-Philippe, Mancini, Laura, Wastling, Stephen, Cocozza, Sirio, Petracca, Maria, Pontillo, Giuseppe, Mancini, Matteo, Vos, Sjoerd B, Vakharia, Vejay N, Duncan, John S, Melero, Helena, Manzanedo, Lidia, Sanz-Morales, Emilio, Peña-Melián, Ángel, Calamante, Fernando, Attyé, Arnaud, Cabeen, Ryan P, Korobova, Laura, Toga, Arthur W, Vijayakumari, Anupa Ambili, Parker, Drew, Verma, Ragini, Radwan, Ahmed, Sunaert, Stefan, Emsell, Louise, De Luca, Alberto, Leemans, Alexander, Bajada, Claude J, Haroon, Hamied, Azadbakht, Hojjatollah, Chamberland, Maxime, Genc, Sila, Tax, Chantal MW, Yeh, Ping-Hong, Srikanchana, Rujirutana, Mcknight, Colin D, Yang, Joseph Yuan-Mou, Chen, Jian, Kelly, Claire E, Yeh, Chun-Hung, Cochereau, Jerome, Maller, Jerome J, Welton, Thomas, Almairac, Fabien, Seunarine, Kiran K, Clark, Chris A, Zhang, Fan, Makris, Nikos, Golby, Alexandra, Rathi, Yogesh, O'Donnell, Lauren J, Xia, Yihao, Aydogan, Dogu Baran, Shi, Yonggang, Fernandes, Francisco Guerreiro, Raemaekers, Mathijs, Warrington, Shaun, Michielse, Stijn, Ramírez-Manzanares, Alonso, Concha, Luis, Aranda, Ramón, Meraz, Mariano Rivera, Lerma-Usabiaga, Garikoitz, Roitman, Lucas, Fekonja, Lucius S, Calarco, Navona, Joseph, Michael, Nakua, Hajer, Voineskos, Aristotle N, Karan, Philippe, Grenier, Gabrielle, Legarreta, Jon Haitz, Adluru, Nagesh, Nair, Veena A, Prabhakaran, Vivek, Alexander, Andrew L, Kamagata, Koji, Saito, Yuya, Uchida, Wataru, Andica, Christina, Abe, Masahiro, and Bayrak, Roza G

Subjects
Neurosciences, Biomedical Imaging, Algorithms, Diffusion Tensor Imaging, Dissection, Humans, Image Processing, Computer-Assisted, Neural Pathways, White Matter, Tractography, Bundle segmentation, White matter, Fiber pathways, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process.

Published
2021

21. Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics.

Author

Lam, Max, Chen, Chia-Yen, Ge, Tian, Xia, Yan, Hill, David W, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Stahl, Eli A, Huckins, Laura, Liewald, David C, Djurovic, Srdjan, Melle, Ingrid, Christoforou, Andrea, Reinvang, Ivar, DeRosse, Pamela, Lundervold, Astri J, Steen, Vidar M, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Koltai, Deborah C, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson B, Cannon, Tyrone D, London, Edythe, Poldrack, Russell A, Sabb, Fred W, Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A, Dickinson, Dwight, Straub, Richard E, Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R, Weinberger, Daniel R, Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C, Andreassen, Ole A, Deary, Ian J, Glahn, David C, Huang, Hailiang, Liu, Chunyu, Malhotra, Anil K, and Lencz, Todd

Subjects
Humans, Nootropic Agents, Cognition, Schizophrenia, Genome-Wide Association Study, Transcriptome, Psychiatry, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract

Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify "druggable" targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing.

Published
2021

23. Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment

Author

Rashidi-Ranjbar, Neda, Rajji, Tarek K., Hawco, Colin, Kumar, Sanjeev, Herrmann, Nathan, Mah, Linda, Flint, Alastair J., Fischer, Corinne E., Butters, Meryl A., Pollock, Bruce G., Dickie, Erin W., Bowie, Christopher R., Soffer, Matan, Mulsant, Benoit H., and Voineskos, Aristotle N.

Published
2023
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24. Brain-Cognition Associations in Older Patients With Remitted Major Depressive Disorder or Mild Cognitive Impairment: A Multivariate Analysis of Gray and White Matter Integrity

Author

Mulsant, Benoit H., Rajji, Tarek K., Herrmann, Nathan, Pollock, Bruce G., Lourenco, Lillian, Blumberger, Daniel M., Bowie, Christopher R., Butters, Meryl A., Fischer, Corinne, Flint, Alastair, Gallagher, Damien, Golas, Angela, Graff, Ariel, Kennedy, James L., Lanctôt, Krista, Kumar, Sanjeev, Mah, Linda, Ovaysikia, Shima, Rapoport, Mark, Thorpe, Kevin E., Verhoeff, Nicolaas P.L.G., Voineskos, Aristotle N., Marawi, Tulip, Zhukovsky, Peter, Rashidi-Ranjbar, Neda, Brooks, Heather, Fischer, Corinne E., Flint, Alastair J., and Tartaglia, Maria Carmela

Published
2023
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26. Systematic comparisons of different quality control approaches applied to three large pediatric neuroimaging datasets

Author

Nakua, Hajer, Hawco, Colin, Forde, Natalie J., Joseph, Michael, Grillet, Maud, Johnson, Delaney, Jacobs, Grace R., Hill, Sean, Voineskos, Aristotle N., Wheeler, Anne L., Lai, Meng-Chuan, Szatmari, Peter, Georgiades, Stelios, Nicolson, Rob, Schachar, Russell, Crosbie, Jennifer, Anagnostou, Evdokia, Lerch, Jason P., Arnold, Paul D., and Ameis, Stephanie H.

Published
2023
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27. Liver enzyme CYP2D6 gene and tardive dyskinesia

Author

Lu, Justin Y, Tiwari, Arun K, Freeman, Natalie, Zai, Gwyneth C, de Luca, Vincenzo, Müller, Daniel J, Tampakeras, Maria, Herbert, Deanna, Emmerson, Heather, Cheema, Sheraz Y, King, Nicole, Voineskos, Aristotle N, Potkin, Steven G, Lieberman, Jeffrey A, Meltzer, Herbert Y, Remington, Gary, Kennedy, James L, and Zai, Clement C

Subjects
Pharmacology and Pharmaceutical Sciences, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Mental health, Adult, Antipsychotic Agents, Cytochrome P-450 CYP2D6, Female, Humans, Liver, Male, Middle Aged, Schizophrenia, Tardive Dyskinesia, White People, metabolizer phenotype, pharmacogenetics, schizophrenia, tardive dyskinesia, CYP2D6, Medical and Health Sciences, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Background: Tardive dyskinesia (TD) is an iatrogenic involuntary movement disorder occurring after extended antipsychotic use with unclear pathogenesis. CYP2D6 is a liver enzyme involved in antipsychotic metabolism and a well-studied gene candidate for TD. Materials & methods: We tested predicted CYP2D6 metabolizer phenotype with TD occurrence and severity in our two samples of European chronic schizophrenia patients (total n = 198, of which 82 had TD). Results: TD occurrence were associated with extreme metabolizer phenotype, controlling for age and sex (p = 0.012). In other words, individuals with either increased and no CYP2D6 activity were at higher risk of having TD. Conclusion: Unlike most previous findings, TD occurrence may be associated with both extremes of CYP2D6 metabolic activity rather than solely for poor metabolizers.

Published
2020

28. Molecular neuroanatomy of anorexia nervosa.

Author

Howard, Derek, Negraes, Priscilla, Voineskos, Aristotle N, Kaplan, Allan S, Muotri, Alysson R, Duvvuri, Vikas, and French, Leon

Abstract

Anorexia nervosa is a complex eating disorder with genetic, metabolic, and psychosocial underpinnings. Using genome-wide methods, recent studies have associated many genes with the disorder. We characterized these genes by projecting them into reference transcriptomic atlases of the prenatal and adult human brain to determine where these genes are expressed in fine detail. We found that genes from an induced stem cell study of anorexia nervosa cases are expressed at higher levels in the lateral parabrachial nucleus. Although weaker, expression enrichment of the adult lateral parabrachial is also found with genes from independent genetic studies. Candidate causal genes from the largest genetic study of anorexia nervosa to date were enriched for expression in the arcuate nucleus of the hypothalamus. We also found an enrichment of anorexia nervosa associated genes in the adult and fetal raphe and ventral tegmental areas. Motivated by enrichment of these feeding circuits, we tested if these genes respond to fasting in mice hypothalami, which highlighted the differential expression of Rps26 and Dalrd3. This work improves our understanding of the neurobiology of anorexia nervosa by suggesting disturbances in subcortical appetitive circuits.

Published
2020

29. Residual or re-emergent impaired insight into delusions following remission is unrelated to later relapse during a randomized clinical trial of continuation pharmacotherapy for psychotic depression – The STOP-PD II Study

Author

Song, Jianmeng, Mulsant, Benoit H., Sanches, Marcos, Alexopoulos, George S., Marino, Patricia, Meyers, Barnett S., Rothschild, Anthony J., Voineskos, Aristotle N., Whyte, Ellen M., Flint, Alastair J., and Gerretsen, Philip

Published
2023
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32. 379. Multivariate Transdiagnostic Neural Biomarkers of Schizophrenia and Autism Spectrum Disorders During the Empathic Accuracy Task

Author

Yu, Ju-Chi, primary, Hawco, Colin, additional, Oliver, Lindsay D., additional, Secara, Maria T., additional, Moxon-Emre, Iska, additional, Sandhu, Fariah A., additional, Khan, Zara Z., additional, Szatmari, Peter, additional, Lai, Meng-Chuan, additional, Argyelan, Miklos, additional, Gold, James M., additional, Tang, Sunny X., additional, Foussias, George, additional, Buchanan, Robert W., additional, Malhotra, Anil K., additional, Voineskos, Aristotle N., additional, Ameis, Stephanie H., additional, and Dickie, Erin W., additional

Published
2024
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34. Cortico-amygdalar connectivity and externalizing/internalizing behavior in children with neurodevelopmental disorders

Author

Nakua, Hajer, Hawco, Colin, Forde, Natalie J., Jacobs, Grace R., Joseph, Michael, Voineskos, Aristotle N., Wheeler, Anne L., Lai, Meng-Chuan, Szatmari, Peter, Kelley, Elizabeth, Liu, Xudong, Georgiades, Stelios, Nicolson, Rob, Schachar, Russell, Crosbie, Jennifer, Anagnostou, Evdokia, Lerch, Jason P., Arnold, Paul D., and Ameis, Stephanie H.

Published
2022
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37. Brain Structure in Acutely Underweight and Partially Weight-Restored Individuals With Anorexia Nervosa: A Coordinated Analysis by the ENIGMA Eating Disorders Working Group

Author

Walton, Esther, Bernardoni, Fabio, Batury, Victoria-Luise, Bahnsen, Klaas, Larivière, Sara, Abbate-Daga, Giovanni, Andres-Perpiña, Susana, Bang, Lasse, Bischoff-Grethe, Amanda, Brooks, Samantha J., Campbell, Iain C., Cascino, Giammarco, Castro-Fornieles, Josefina, Collantoni, Enrico, D’Agata, Federico, Dahmen, Brigitte, Danner, Unna N., Favaro, Angela, Feusner, Jamie D., Frank, Guido K.W., Friederich, Hans-Christoph, Graner, John L., Herpertz-Dahlmann, Beate, Hess, Andreas, Horndasch, Stefanie, Kaplan, Allan S., Kaufmann, Lisa-Katrin, Kaye, Walter H., Khalsa, Sahib S., LaBar, Kevin S., Lavagnino, Luca, Lazaro, Luisa, Manara, Renzo, Miles, Amy E., Milos, Gabriella F., Monteleone, Alessio Maria, Monteleone, Palmiero, Mwangi, Benson, O’Daly, Owen, Pariente, Jose, Roesch, Julie, Schmidt, Ulrike H., Seitz, Jochen, Shott, Megan E., Simon, Joe J., Smeets, Paul A.M., Tamnes, Christian K., Tenconi, Elena, Thomopoulos, Sophia I., van Elburg, Annemarie A., Voineskos, Aristotle N., von Polier, Georg G., Wierenga, Christina E., Zucker, Nancy L., Jahanshad, Neda, King, Joseph A., Thompson, Paul M., Berner, Laura A., and Ehrlich, Stefan

Published
2022
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38. Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways.

Author

Lam, Max, Hill, W David, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Stahl, Eli, Huckins, Laura, Liewald, David C, Djurovic, Srdjan, Melle, Ingrid, Sundet, Kjetil, Christoforou, Andrea, Reinvang, Ivar, DeRosse, Pamela, Lundervold, Astri J, Steen, Vidar M, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Attix, Deborah K, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Arking, Dan E, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson A, Cannon, Tyrone D, London, Edythe, Poldrack, Russell A, Sabb, Fred W, Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A, Dickinson, Dwight, Straub, Richard E, Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R, Weinberger, Daniel R, Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C, Andreassen, Ole A, Deary, Ian J, Glahn, David C, Malhotra, Anil K, and Lencz, Todd

Subjects
Humans, Genetic Predisposition to Disease, Cognition, Cognition Disorders, Schizophrenia, Synaptic Transmission, Polymorphism, Single Nucleotide, Adult, Educational Status, Genome-Wide Association Study, Neurodevelopmental Disorders, GWAS, cognitive ability, educational attainment, genetic correlation, pathways, pleiotropy, schizophrenia, Serious Mental Illness, Neurosciences, Biotechnology, Mental Health, Genetics, Brain Disorders, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Susceptibility to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and the genetic level. Paradoxically, a modest but consistent positive genetic correlation has been reported between schizophrenia and educational attainment, despite the strong positive genetic correlation between cognitive ability and educational attainment. Here we leverage published genome-wide association studies (GWASs) in cognitive ability, education, and schizophrenia to parse biological mechanisms underlying these results. Association analysis based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to be identified and characterized. Specifically, we identified subsets of variants associated in the expected ("concordant") direction across all three phenotypes (i.e., greater risk for schizophrenia, lower cognitive ability, and lower educational attainment); these were contrasted with variants that demonstrated the counterintuitive ("discordant") relationship between education and schizophrenia (i.e., greater risk for schizophrenia and higher educational attainment). ASSET analysis revealed 235 independent loci associated with cognitive ability, education, and/or schizophrenia at p < 5 × 10-8. Pleiotropic analysis successfully identified more than 100 loci that were not significant in the input GWASs. Many of these have been validated by larger, more recent single-phenotype GWASs. Leveraging the joint genetic correlations of cognitive ability, education, and schizophrenia, we were able to dissociate two distinct biological mechanisms-early neurodevelopmental pathways that characterize concordant allelic variation and adulthood synaptic pruning pathways-that were linked to the paradoxical positive genetic association between education and schizophrenia. Furthermore, genetic correlation analyses revealed that these mechanisms contribute not only to the etiopathogenesis of schizophrenia but also to the broader biological dimensions implicated in both general health outcomes and psychiatric illness.

Published
2019

39. Digital Trajectories to Care in First-Episode Psychosis

Author

Birnbaum, Michael L, Rizvi, Asra F, Faber, Keren, Addington, Jean, Correll, Christoph U, Gerber, Carla, Lahti, Adrienne C, Loewy, Rachel L, Mathalon, Daniel H, Nelson, Leigh Anne, Voineskos, Aristotle N, Walker, Elaine F, Ward, Elise, and Kane, John M

Subjects
Health Services and Systems, Health Sciences, Behavioral and Social Science, Brain Disorders, Serious Mental Illness, Schizophrenia, Clinical Research, Mental Health, Mental health, Good Health and Well Being, Adolescent, Adult, Female, Humans, Internet, Male, Patient Acceptance of Health Care, Psychotic Disorders, Social Media, Young Adult, Duration of Untreated Psychosis, First-Episode Psychosis, Pathways to Care, Public Health and Health Services, Psychiatry, Clinical sciences, Health services and systems
Abstract

ObjectiveThe emphasis on reducing the duration of untreated psychosis (DUP) has highlighted complex barriers to accessing appropriate services. Internet and social media use by individuals with first-episode psychosis (FEP) was examined to explore how these platforms might be used to facilitate treatment initiation.MethodsParticipants ages 15-35 were interviewed with the Pathways to Care for Psychosis Questionnaire, an 81-item instrument designed to explore online activity during symptom emergence.ResultsOf 112 participants, 90% used the Internet and social media daily. The Internet was listed as the most used resource (62%) for information while symptoms were emerging. A minority (19%) shared concerns via social media, and 76% responded favorably to the possibility of receiving online mental health support.ConclusionsThe Internet and social media were part of daily life for participants with FEP. Activity continued throughout the DUP, offering the prospect of earlier intervention. Participants expressed positive attitudes toward Internet-based outreach and engagement efforts.

Published
2018

47. Multi-Trait Analysis of GWAS and Biological Insights Into Cognition: A Response to Hill (2018)

Author

Lam, Max, Trampush, Joey W, Yu, Jin, Knowles, Emma, Djurovic, Srdjan, Melle, Ingrid, Sundet, Kjetil, Christoforou, Andrea, Reinvang, Ivar, DeRosse, Pamela, Lundervold, Astri J, Steen, Vidar M, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Giegling, Ina, Konte, Bettina, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Attix, Deborah K, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Arking, Dan E, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson A, Cannon, Tyrone D, London, Edythe, Poldrack, Russell A, Sabb, Fred W, Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A, Dickinson, Dwight, Straub, Richard E, Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R, Weinberger, Daniel R, Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C, Andreassen, Ole A, Glahn, David C, Malhotra, Anil K, and Lencz, Todd

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Clinical Sciences, Human Genome, Genetics, Mental Health, Aetiology, 2.1 Biological and endogenous factors, Cognition, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Nootropic Agents, Polymorphism, Single Nucleotide, GWAS, general cognitive ability, nootropics, gene expression, neurodevelopment, synapse, calcium channel, potassium channel, cerebellum, Paediatrics and Reproductive Medicine, Cognitive Sciences, Genetics & Heredity, Clinical sciences, Reproductive medicine
Abstract

Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) presented a critique of our recently published paper in Cell Reports entitled 'Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets' (Lam et al., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'.

Published
2018

48. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Author

Savage, Jeanne E, Jansen, Philip R, Stringer, Sven, Watanabe, Kyoko, Bryois, Julien, de Leeuw, Christiaan A, Nagel, Mats, Awasthi, Swapnil, Barr, Peter B, Coleman, Jonathan RI, Grasby, Katrina L, Hammerschlag, Anke R, Kaminski, Jakob A, Karlsson, Robert, Krapohl, Eva, Lam, Max, Nygaard, Marianne, Reynolds, Chandra A, Trampush, Joey W, Young, Hannah, Zabaneh, Delilah, Hägg, Sara, Hansell, Narelle K, Karlsson, Ida K, Linnarsson, Sten, Montgomery, Grant W, Muñoz-Manchado, Ana B, Quinlan, Erin B, Schumann, Gunter, Skene, Nathan G, Webb, Bradley T, White, Tonya, Arking, Dan E, Avramopoulos, Dimitrios, Bilder, Robert M, Bitsios, Panos, Burdick, Katherine E, Cannon, Tyrone D, Chiba-Falek, Ornit, Christoforou, Andrea, Cirulli, Elizabeth T, Congdon, Eliza, Corvin, Aiden, Davies, Gail, Deary, Ian J, DeRosse, Pamela, Dickinson, Dwight, Djurovic, Srdjan, Donohoe, Gary, Conley, Emily Drabant, Eriksson, Johan G, Espeseth, Thomas, Freimer, Nelson A, Giakoumaki, Stella, Giegling, Ina, Gill, Michael, Glahn, David C, Hariri, Ahmad R, Hatzimanolis, Alex, Keller, Matthew C, Knowles, Emma, Koltai, Deborah, Konte, Bettina, Lahti, Jari, Le Hellard, Stephanie, Lencz, Todd, Liewald, David C, London, Edythe, Lundervold, Astri J, Malhotra, Anil K, Melle, Ingrid, Morris, Derek, Need, Anna C, Ollier, William, Palotie, Aarno, Payton, Antony, Pendleton, Neil, Poldrack, Russell A, Räikkönen, Katri, Reinvang, Ivar, Roussos, Panos, Rujescu, Dan, Sabb, Fred W, Scult, Matthew A, Smeland, Olav B, Smyrnis, Nikolaos, Starr, John M, Steen, Vidar M, Stefanis, Nikos C, Straub, Richard E, Sundet, Kjetil, Tiemeier, Henning, Voineskos, Aristotle N, Weinberger, Daniel R, Widen, Elisabeth, Yu, Jin, Abecasis, Goncalo, Andreassen, Ole A, Breen, Gerome, and Christiansen, Lene

Subjects
Biological Sciences, Genetics, Brain Disorders, Mental Health, Human Genome, Biotechnology, Neurosciences, Underpinning research, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Aetiology, Mental health, Neurological, Adolescent, Brain, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intelligence, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Intelligence is highly heritable1 and a major determinant of human health and well-being2. Recent genome-wide meta-analyses have identified 24 genomic loci linked to variation in intelligence3-7, but much about its genetic underpinnings remains to be discovered. Here, we present a large-scale genetic association study of intelligence (n = 269,867), identifying 205 associated genomic loci (190 new) and 1,016 genes (939 new) via positional mapping, expression quantitative trait locus (eQTL) mapping, chromatin interaction mapping, and gene-based association analysis. We find enrichment of genetic effects in conserved and coding regions and associations with 146 nonsynonymous exonic variants. Associated genes are strongly expressed in the brain, specifically in striatal medium spiny neurons and hippocampal pyramidal neurons. Gene set analyses implicate pathways related to nervous system development and synaptic structure. We confirm previous strong genetic correlations with multiple health-related outcomes, and Mendelian randomization analysis results suggest protective effects of intelligence for Alzheimer's disease and ADHD and bidirectional causation with pleiotropic effects for schizophrenia. These results are a major step forward in understanding the neurobiology of cognitive function as well as genetically related neurological and psychiatric disorders.

Published
2018

49. Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets

Author

Lam, Max, Trampush, Joey W, Yu, Jin, Knowles, Emma, Davies, Gail, Liewald, David C, Starr, John M, Djurovic, Srdjan, Melle, Ingrid, Sundet, Kjetil, Christoforou, Andrea, Reinvang, Ivar, DeRosse, Pamela, Lundervold, Astri J, Steen, Vidar M, Espeseth, Thomas, Räikkönen, Katri, Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G, Giegling, Ina, Konte, Bettina, Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E, Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Attix, Deborah K, Need, Anna C, Cirulli, Elizabeth T, Voineskos, Aristotle N, Stefanis, Nikos C, Avramopoulos, Dimitrios, Hatzimanolis, Alex, Arking, Dan E, Smyrnis, Nikolaos, Bilder, Robert M, Freimer, Nelson A, Cannon, Tyrone D, London, Edythe, Poldrack, Russell A, Sabb, Fred W, Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A, Dickinson, Dwight, Straub, Richard E, Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R, Weinberger, Daniel R, Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, Stephanie, Keller, Matthew C, Andreassen, Ole A, Deary, Ian J, Glahn, David C, Malhotra, Anil K, and Lencz, Todd

Subjects
Biological Sciences, Genetics, Mental Health, Aging, Brain Disorders, Biotechnology, Autoimmune Disease, Neurosciences, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Underpinning research, 1.1 Normal biological development and functioning, Mental health, Neurological, Cefotaxime, Cognition, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Nootropic Agents, Polymorphism, Single Nucleotide, Synapses, GWAS, calcium channel, cerebellum, gene expression, general cognitive ability, neurodevelopment, nootropics, potassium channel, synapse, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.

Published
2017

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