21 results on '"Feusner, Jamie D."'
Search Results
2. The thalamus and its subnuclei—a gateway to obsessive-compulsive disorder
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Weeland, Cees J., Kasprzak, Selina, Joode, Niels T. de, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Balachander, Srinivas, Banaj, Nerisa, Bargalló Alabart, Núria, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij H., Xu, Xiufeng, Yun, Je-Yeon, Zhao, Qing, White, Tonya, Thompson, Paul M., Stein, Dan J., Heuvel, Odile A. van den, Vriend, Chris, ENIGMA-OCD Working Group, Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Brecke, Vilde, Brem, Silvia, Cappi, Carolina, Cheng, Yuqi, Cho, Kang Ik K., Costa, Daniel L. C., Dallaspezia, Sara, Denys, Damiaan, Eng, Goi Khia, Ferreira, Sónia, Feusner, Jamie D., Fontaine, Martine, Fouche, Jean Paul, Grazioplene, Rachael G., Gruner, Patricia, He, Mengxin, Hirano, Yoshiyuki, Hoexter, Marcelo Q., Huyser, Chaim, Hu, Hao, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Bin Kwak, Yoo, Kwon, Jun Soo, Lazaro, Luisa, Li, Chiang-Shan R., Lochner, Christine, Marsh, Rachel, Martínez Zalacaín, Ignacio, Mataix Cols, David, Menchón, Jose M., Minnuzi, Luciano, Moreira, Pedro Silva, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Narayanaswamy, Janardhanan C., Nurmi, Erika L., Ortiz, Ana E., Pariente, Jose C., Piacentini, John, Picó Pérez, Maria, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, Y. C. Janardhan, Rodriguez Manrique, Daniela, Sakai, Yuki, Shimizu, Eiji, Shivakumar, Venkataram, Simpson, Helen Blair, Soreni, Noam, Soriano Mas, Carles, Sousa, Nuno, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Takahashi, Jumpei, Tanamatis, Tais, Tang, Jinsong, Thorsen, Anders Lillevik, Tolin, David, Werf, Ysbrand D. van der, Van Marle, Hein, Wingen, Guido A. van, Vecchio, Daniela, Venkatasubramanian, G., Walitza, Susanne, Wang, Jicai, Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, Child Psychiatry, Child and Adolescent Psychiatry & Psychosocial Care, ANS - Cellular & Molecular Mechanisms, ANS - Brain Imaging, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Psychiatry, Amsterdam Neuroscience - Systems & Network Neuroscience, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, Amsterdam Neuroscience - Brain Imaging, Weeland, C. J., Kasprzak, S., de Joode, N. T., Abe, Y., Alonso, P., Ameis, S. H., Anticevic, A., Arnold, P. D., Balachander, S., Banaj, N., Bargallo, N., Batistuzzo, M. C., Benedetti, F., Beucke, J. C., Bollettini, I., Brecke, V., Brem, S., Cappi, C., Cheng, Y., Cho, K. I. K., Costa, D. L. C., Dallaspezia, S., Denys, D., Eng, G. K., Ferreira, S., Feusner, J. D., Fontaine, M., Fouche, J. -P., Grazioplene, R. G., Gruner, P., He, M., Hirano, Y., Hoexter, M. Q., Huyser, C., Hu, H., Jaspers-Fayer, F., Kathmann, N., Kaufmann, C., Kim, M., Koch, K., Bin Kwak, Y., Kwon, J. S., Lazaro, L., Li, C. -S. R., Lochner, C., Marsh, R., Martinez-Zalacain, I., Mataix-Cols, D., Menchon, J. M., Minnuzi, L., Moreira, P. S., Morgado, P., Nakagawa, A., Nakamae, T., Narayanaswamy, J. C., Nurmi, E. L., Ortiz, A. E., Pariente, J. C., Piacentini, J., Pico-Perez, M., Piras, F., Pittenger, C., Reddy, Y. C. J., Rodriguez-Manrique, D., Sakai, Y., Shimizu, E., Shivakumar, V., Simpson, H. B., Soreni, N., Soriano-Mas, C., Sousa, N., Spalletta, G., Stern, E. R., Stevens, M. C., Stewart, S. E., Szeszko, P. R., Takahashi, J., Tanamatis, T., Tang, J., Thorsen, A. L., Tolin, D., van der Werf, Y. D., van Marle, H., van Wingen, G. A., Vecchio, D., Venkatasubramanian, G., Walitza, S., Wang, J., Wang, Z., Watanabe, A., Wolters, L. H., Xu, X., Yun, J. -Y., Zhao, Q., White, T., Thompson, P. M., Stein, D. J., van den Heuvel, O. A., and Vriend, C.
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Adult ,Obsessive-Compulsive Disorder ,medicine.medical_specialty ,Adolescent ,Population ,Thalamus ,Audiology ,Cellular and Molecular Neuroscience ,Group differences ,SDG 3 - Good Health and Well-being ,Obsessive compulsive ,Intracranial volume ,Humans ,Medicine ,Brain magnetic resonance imaging ,In patient ,Child ,education ,Biological Psychiatry ,education.field_of_study ,business.industry ,Symptom severity ,Brain ,Tàlem (Anatomia) ,Magnetic Resonance Imaging ,Compulsive behavior ,Psychiatry and Mental health ,Psychiatric disorders ,Conducta compulsiva ,business ,Neuroscience - Abstract
Larger thalamic volume has been found in children with obsessive-compulsive disorder (OCD) and children with clinical-level symptoms within the general population. Particular thalamic subregions may drive these differences. The ENIGMA-OCD working group conducted mega- and meta-analyses to study thalamic subregional volume in OCD across the lifespan. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2649 OCD patients and 2774 healthy controls across 29 sites (50 datasets) were processed using the FreeSurfer built-in ThalamicNuclei pipeline to extract five thalamic subregions. Volume measures were harmonized for site effects using ComBat before running separate multiple linear regression models for children, adolescents, and adults to estimate volumetric group differences. All analyses were pre-registered ( https://osf.io/73dvy ) and adjusted for age, sex and intracranial volume. Unmedicated pediatric OCD patients (, Translational Psychiatry, 12 (1), ISSN:2158-3188
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- 2022
3. Additional file 2 of Neural, physiological, and psychological markers of appetitive conditioning in anorexia nervosa: a study protocol
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Murray, Stuart B., Zbozinek, Tomislav D., Craske, Michelle, Tadayonnejad, Reza, Strober, Michael, Bari, Ausaf A., O’Doherty, John P., and Feusner, Jamie D.
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Additional file 2: Spirit checklist.
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- 2022
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4. Additional file 1 of Neural, physiological, and psychological markers of appetitive conditioning in anorexia nervosa: a study protocol
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Murray, Stuart B., Zbozinek, Tomislav D., Craske, Michelle, Tadayonnejad, Reza, Strober, Michael, Bari, Ausaf A., O’Doherty, John P., and Feusner, Jamie D.
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Data_FILES - Abstract
Additional file 1: Pilot data.
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- 2022
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5. Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups
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Boedhoe, Premika SW, van Rooij, Daan, Hoogman, Martine, Twisk, Jos WR, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anikin, Anatoly, Anticevic, Alan, Arango, Celso, Arnold, Paul D, Asherson, Philip, Assogna, Francesca, Auzias, Guillaume, Banaschewski, Tobias, Baranov, Alexander, Batistuzzo, Marcelo C, Baumeister, Sarah, Baur-Streubel, Ramona, Behrmann, Marlene, Bellgrove, Mark A, Benedetti, Francesco, Beucke, Jan C, Biederman, Joseph, Bollettini, Irene, Bose, Anushree, Bralten, Janita, Bramati, Ivanei E, Brandeis, Daniel, Brem, Silvia, Brennan, Brian P, Busatto, Geraldo F, Calderoni, Sara, Calvo, Anna, Calvo, Rosa, Castellanos, Francisco X, Cercignani, Mara, Chaim-Avancini, Tiffany M, Chantiluke, Kaylita C, Cheng, Yuqi, Cho, Kang Ik K, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Cubillo, Ana I, Dale, Anders M, Dallaspezia, Sara, Daly, Eileen, Denys, Damiaan, Deruelle, Christine, Di Martino, Adriana, Dinstein, Ilan, Doyle, Alysa E, Durston, Sarah, Earl, Eric A, Ecker, Christine, Ehrlich, Stefan, Ely, Benjamin A, Epstein, Jeffrey N, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas J, Faraone, Stephen V, Fedor, Jennifer, Feng, Xin, Feusner, Jamie D, Fitzgerald, Jackie, Fitzgerald, Kate D, Fouche, Jean-Paul, Freitag, Christine M, Fridgeirsson, Egill A, Frodl, Thomas, Gabel, Matt C, Gallagher, Louise, Gogberashvili, Tinatin, Gori, Ilaria, Gruner, Patricia, Gürsel, Deniz A, Haar, Shlomi, Haavik, Jan, Hall, Geoffrey B, Harrison, Neil A, Hartman, Catharina A, Heslenfeld, Dirk J, Hirano, Yoshiyuki, Hoekstra, Pieter J, Hoexter, Marcelo Q, Hohmann, Sarah, Høvik, Marie F, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, Jalbrzikowski, Maria, James, Anthony, Janssen, Joost, Jaspers-Fayer, Fern, Jernigan, Terry L, Kapilushniy, Dmitry, and Kardatzki, Bernd
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Adult ,Male ,Research Report ,Obsessive-Compulsive Disorder ,Systems Analysis ,Attention Deficit Hyperactivity Disorder ,Adolescent ,Autism Spectrum Disorder ,Human Development ,Autism ,Intellectual and Developmental Disabilities (IDD) ,Neuroimaging ,Medical and Health Sciences ,Clinical Research ,2.3 Psychological ,Behavioral and Social Science ,ENIGMA ASD working group ,Humans ,2.1 Biological and endogenous factors ,Aetiology ,Child ,Cerebrum ,Pediatric ,Psychiatry ,Psychopathology ,Psychology and Cognitive Sciences ,ENIGMA ,Neurosciences ,Organ Size ,Attention Deficit Hyperactivity Disorder (ADHD) ,ENIGMA OCD working group ,Brain Disorders ,ENIGMA ADHD working group ,Structural MRI ,Mental Health ,Attention Deficit Disorder with Hyperactivity ,Neurological ,Female ,social and economic factors - Abstract
ObjectiveAttention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. The authors sought to directly compare these disorders using structural brain imaging data from ENIGMA consortium data.MethodsStructural T1-weighted whole-brain MRI data from healthy control subjects (N=5,827) and from patients with ADHD (N=2,271), ASD (N=1,777), and OCD (N=2,323) from 151 cohorts worldwide were analyzed using standardized processing protocols. The authors examined subcortical volume, cortical thickness, and cortical surface area differences within a mega-analytical framework, pooling measures extracted from each cohort. Analyses were performed separately for children, adolescents, and adults, using linear mixed-effects models adjusting for age, sex, and site (and intracranial volume for subcortical and surface area measures).ResultsNo shared differences were found among all three disorders, and shared differences between any two disorders did not survive correction for multiple comparisons. Children with ADHD compared with those with OCD had smaller hippocampal volumes, possibly influenced by IQ. Children and adolescents with ADHD also had smaller intracranial volume than control subjects and those with OCD or ASD. Adults with ASD showed thicker frontal cortices compared with adult control subjects and other clinical groups. No OCD-specific differences were observed across different age groups and surface area differences among all disorders in childhood and adulthood.ConclusionsThe study findings suggest robust but subtle differences across different age groups among ADHD, ASD, and OCD. ADHD-specific intracranial volume and hippocampal differences in children and adolescents, and ASD-specific cortical thickness differences in the frontal cortex in adults, support previous work emphasizing structural brain differences in these disorders.
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- 2020
6. Brain structural covariance networks in obsessive-compulsive disorder: a graph analysis from the ENIGMA Consortium
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Yun, Je-Yeon, Boedhoe, Premika SW, Vriend, Chris, Jahanshad, Neda, Abe, Yoshinari, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fouche, Jean-Paul, Giménez, Mònica, Gruner, Patricia, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Lazaro, Luisa, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morgado, Pedro, Moreira, Pedro, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, van Wingen, Guido A, Xu, Jian, Xu, Xiufeng, Zhao, Qing, ENIGMA-OCD working group, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and Kwon, Jun Soo
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Cerebral Cortex ,Adult ,Male ,Obsessive-Compulsive Disorder ,brain structural covariance network ,Neurology & Neurosurgery ,ENIGMA-OCD working group ,Image Processing ,graph theory ,illness duration ,Psychology and Cognitive Sciences ,Neurosciences ,Brain ,Serious Mental Illness ,Magnetic Resonance Imaging ,Medical and Health Sciences ,Brain Disorders ,pharmacotherapy ,Mental Health ,Computer-Assisted ,Clinical Research ,Neurological ,Neural Pathways ,Humans ,Female - Abstract
Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T1-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z-score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P
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- 2020
7. Brain structural covariance networks in obsessive-compulsive disorder : a graph analysis from the ENIGMA Consortium
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Yun, Je-Yeon, Boedhoe, Premika, Vriend, Chris, Jahanshad, Neda, Abe, Yoshinari, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Batistuzzo, Marcelo C., Benedetti, Francesco, Beucke, Jan C., Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Cheng, Yuqi, Cho, Kang Ik K., Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D., Fouche, Jean-Paul, Giménez, Mònica, Gruner, Patricia, Hibar, Derrek P., Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ikari, Keisuke, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Lázaro, Luisa, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón Magriñá, José Manuel, Minuzzi, Luciano, Morgado, Pedro, Moreira, Pedro, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Nurmi, Erica L., O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, Y. C. Janardhan, Sato, Joao R., Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C., Szeszko, Philip R., Tolin, David F., Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, van Wingen, Guido A., Xu, Jian, Xu, Xiufeng, Zhao, Qing, Thompson, Paul M., Stein, Dan J., van den Heuvel, Odile A., Kwon, Jun Soo, Yun, J. -Y., Boedhoe, P. S. W., Vriend, C., Jahanshad, N., Abe, Y., Ameis, S. H., Anticevic, A., Arnold, P. D., Batistuzzo, M. C., Benedetti, F., Beucke, J. C., Bollettini, I., Bose, A., Brem, S., Calvo, A., Cheng, Y., Cho, K. I. K., Ciullo, V., Dallaspezia, S., Denys, D., Feusner, J. D., Fouche, J. -P., Gimenez, M., Gruner, P., Hibar, D. P., Hoexter, M. Q., Hu, H., Huyser, C., Ikari, K., Kathmann, N., Kaufmann, C., Koch, K., Lazaro, L., Lochner, C., Marques, P., Marsh, R., Martinez-Zalacain, I., Mataix-Cols, D., Menchon, J. M., Minuzzi, L., Morgado, P., Moreira, P., Nakamae, T., Nakao, T., Narayanaswamy, J. C., Nurmi, E. L., O'Neill, J., Piacentini, J., Piras, F., Janardhan Reddy, Y. C., Sato, J. R., Blair Simpson, H., Soreni, N., Soriano-Mas, C., Spalletta, G., Stevens, M. C., Szeszko, P. R., Tolin, D. F., Venkatasubramanian, G., Walitza, S., Wang, Z., Van Wingen, G. A., Xu, J., Xu, X., Zhao, Q., Thompson, P. M., Stein, D. J., Van Den Heuvel, O. A., and Kwon, J. S.
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Graph theory ,Illness duration ,Obsessive-compulsive disorder ,Brain structural covariance network ,Pharmacotherapy - Abstract
In the largest brain structural covariance study of OCD to date, Yun et al. show a less segregated organization of structural covariance networks and a reorganization of brain hubs, including cingulate and orbitofrontal regions, in OCD. The findings point to altered trajectories of brain development and maturation. Brain structural covariance networks reflect covariation in morphology of different brain areas and are thought to reflect common trajectories in brain development and maturation. Large-scale investigation of structural covariance networks in obsessive-compulsive disorder (OCD) may provide clues to the pathophysiology of this neurodevelopmental disorder. Using T-weighted MRI scans acquired from 1616 individuals with OCD and 1463 healthy controls across 37 datasets participating in the ENIGMA-OCD Working Group, we calculated intra-individual brain structural covariance networks (using the bilaterally-averaged values of 33 cortical surface areas, 33 cortical thickness values, and six subcortical volumes), in which edge weights were proportional to the similarity between two brain morphological features in terms of deviation from healthy controls (i.e. z -score transformed). Global networks were characterized using measures of network segregation (clustering and modularity), network integration (global efficiency), and their balance (small-worldness), and their community membership was assessed. Hub profiling of regional networks was undertaken using measures of betweenness, closeness, and eigenvector centrality. Individually calculated network measures were integrated across the 37 datasets using a meta-analytical approach. These network measures were summated across the network density range of K = 0.10-0.25 per participant, and were integrated across the 37 datasets using a meta-analytical approach. Compared with healthy controls, at a global level, the structural covariance networks of OCD showed lower clustering (P < 0.0001), lower modularity (P < 0.0001), and lower small-worldness (P = 0.017). Detection of community membership emphasized lower network segregation in OCD compared to healthy controls. At the regional level, there were lower (rank-transformed) centrality values in OCD for volume of caudate nucleus and thalamus, and surface area of paracentral cortex, indicative of altered distribution of brain hubs. Centrality of cingulate and orbito-frontal as well as other brain areas was associated with OCD illness duration, suggesting greater involvement of these brain areas with illness chronicity. In summary, the findings of this study, the largest brain structural covariance study of OCD to date, point to a less segregated organization of structural covariance networks in OCD, and reorganization of brain hubs. The segregation findings suggest a possible signature of altered brain morphometry in OCD, while the hub findings point to OCD-related alterations in trajectories of brain development and maturation, particularly in cingulate and orbitofrontal regions.
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- 2020
8. Additional file 1 of Study protocol of comprehensive risk evaluation for anorexia nervosa in twins (CREAT): a study of discordant monozygotic twins with anorexia nervosa
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Seidel, Maria, Ehrlich, Stefan, Breithaupt, Lauren, Welch, Elisabeth, Wiklund, Camilla, Hübel, Christopher, Thornton, Laura M., Savva, Androula, Fundin, Bengt T., Pege, Jessica, Billger, Annelie, Afrouz Abbaspour, Schaefer, Martin, Boehm, Ilka, Zvrskovec, Johan, Rosager, Emilie Vangsgaard, Hasselbalch, Katharina Collin, Leppä, Virpi, Sjögren, Magnus, Nergårdh, Ricard, Feusner, Jamie D., Ghaderi, Ata, and Bulik, Cynthia M.
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Additional file 1. Supplementary information about diagnostics and measured parameters in the study.
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- 2020
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9. Predicting Empathy from Resting Brain Connectivity
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Christov-Moore, Leonardo, Reggente, Nicco, Douglas, Pamela K., Feusner, Jamie D., and Iacoboni, Marco
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Multivariate statistics ,Resting state fMRI ,media_common.quotation_subject ,05 social sciences ,Empathy ,050105 experimental psychology ,Task (project management) ,03 medical and health sciences ,0302 clinical medicine ,Trait ,0501 psychology and cognitive sciences ,Psychology ,Function (engineering) ,Task fmri ,030217 neurology & neurosurgery ,Empathic concern ,media_common ,Cognitive psychology - Abstract
Recent studies suggest that individual differences in empathic concern may be mediated by continuous interactions between self-other resonance and cognitive control networks. To test this hypothesis, we used machine learning to examine whether resting fMRI connectivity (i.e. the degree of synchronous BOLD activity across multiple cortical areas in the absence of task demands) of resonance and control networks could predict trait empathy (n=58). Indeed, resonance and control networks’ interconnectivity predicted empathic concern. Empathic concern was also predicted by connectivity within the somatomotor network. In light of numerous reported sex differences in empathy, we controlled for biological sex and also studied separately what aspect of these features could predict participants’ sex. Sex was best predicted by the interconnectivity of the visual system with the resonance, somatomotor, and cingulo-opercular network, as well as the somatomotor-control network connectivity. These findings confirm that variation in empathic responses to others reflects characteristic network properties detectable regardless of task demands. Furthermore, network properties of the visual system may be a locus of sex differences previously unaccounted for in empathy research. Finally, these findings suggest that it may be possible to assess empathic predispositions in individuals without needing to perform conventional empathy assessments.
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- 2019
10. Sex differences in own and other body perception
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Burke, Sarah M, Majid, DS Adnan, Manzouri, Amir H, Moody, Teena, Feusner, Jamie D, and Savic, Ivanka
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Cerebral Cortex ,Adult ,Male ,sex differences ,Brain Mapping ,Sex Characteristics ,other body ,body perception ,fMRI ,Neurosciences ,Experimental Psychology ,behavioral disciplines and activities ,Magnetic Resonance Imaging ,Self Concept ,Neostriatum ,Young Adult ,Sex Factors ,Reward ,Social Perception ,Visual Perception ,Humans ,Attention ,Female ,Cognitive Sciences ,own body - Abstract
Own body perception, and differentiating and comparing one's body to another person's body, are common cognitive functions that have relevance for self-identity and social interactions. In several psychiatric conditions, including anorexia nervosa, body dysmorphic disorder, gender dysphoria, and autism spectrum disorder, self and own body perception, as well as aspects of social communication are disturbed. Despite most of these conditions having skewed prevalence sex ratios, little is known about whether the neural basis of own body perception differs between the sexes. We addressed this question by investigating brain activation using functional magnetic resonance imaging during a Body Perception task in 15 male and 15 female healthy participants. Participants viewed their own body, bodies of same-sex, or opposite-sex other people, and rated the degree that they appeared like themselves. We found that men and women did not differ in the pattern of brain activation during own body perception compared to a scrambled control image. However, when viewing images of other bodies of same-sex or opposite-sex, men showed significantly stronger activations in attention-related and reward-related brain regions, whereas women engaged stronger activations in striatal, medial-prefrontal, and insular cortices, when viewing the own body compared to other images of the opposite sex. It is possible that other body images, particularly of the opposite sex, may be of greater salience for men, whereas images of own bodies may be more salient for women. These observations provide tentative neurobiological correlates to why women may be more vulnerable than men to conditions involving own body perception.
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- 2019
11. supplement_material – Supplemental material for Disturbed Eating and Body Dysmorphic Symptoms in a Young Adult Sample Are Separable Constructs That Each Show a Mixture of Distributions
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Samad, Majed, Ralph-Nearman, Christina, Hellemann, Gerhard, Khalsa, Sahib S., Shams, Ladan, and Feusner, Jamie D.
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FOS: Psychology ,160807 Sociological Methodology and Research Methods ,170199 Psychology not elsewhere classified ,FOS: Sociology - Abstract
Supplemental material, supplement_material for Disturbed Eating and Body Dysmorphic Symptoms in a Young Adult Sample Are Separable Constructs That Each Show a Mixture of Distributions by Majed Samad, Christina Ralph-Nearman, Gerhard Hellemann, Sahib S. Khalsa, Ladan Shams and Jamie D. Feusner in Assessment
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- 2019
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12. Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group
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Boedhoe, Premika SW, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Hanna, Gregory L, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun Soo, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nishida, Seiji, Nurmi, Erika, O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Reess, Tim J, Sakai, Yuki, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, van Wingen, Guido A, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Yun, Je-Yeon, ENIGMA-OCD Working Group, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and ENIGMA OCD Working Group
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Adult ,Obsessive-Compulsive Disorder ,ENIGMA OCD Working Group ,Adolescent ,FreeSurfer ,Medical and Health Sciences ,Young Adult ,Reference Values ,Parietal Lobe ,Humans ,Age of Onset ,Child ,Cerebral Cortex ,Pediatric ,Psychiatry ,Cortical Thickness ,Psychology and Cognitive Sciences ,Neurosciences ,Surface Area ,Serious Mental Illness ,Magnetic Resonance Imaging ,Temporal Lobe ,Frontal Lobe ,Brain Disorders ,Mental Health ,Neurological ,ENIGMA-OCD Working Group ,MRI - Abstract
ObjectiveBrain imaging studies of structural abnormalities in OCD have yielded inconsistent results, partly because of limited statistical power, clinical heterogeneity, and methodological differences. The authors conducted meta- and mega-analyses comprising the largest study of cortical morphometry in OCD ever undertaken.MethodT1-weighted MRI scans of 1,905 OCD patients and 1,760 healthy controls from 27 sites worldwide were processed locally using FreeSurfer to assess cortical thickness and surface area. Effect sizes for differences between patients and controls, and associations with clinical characteristics, were calculated using linear regression models controlling for age, sex, site, and intracranial volume.ResultsIn adult OCD patients versus controls, we found a significantly lower surface area for the transverse temporal cortex and a thinner inferior parietal cortex. Medicated adult OCD patients also showed thinner cortices throughout the brain. In pediatric OCD patients compared with controls, we found significantly thinner inferior and superior parietal cortices, but none of the regions analyzed showed significant differences in surface area. However, medicated pediatric OCD patients had lower surface area in frontal regions. Cohen's d effect sizes varied from -0.10 to -0.33.ConclusionsThe parietal cortex was consistently implicated in both adults and children with OCD. More widespread cortical thickness abnormalities were found in medicated adult OCD patients, and more pronounced surface area deficits (mainly in frontal regions) were found in medicated pediatric OCD patients. These cortical measures represent distinct morphological features and may be differentially affected during different stages of development and illness, and possibly moderated by disease profile and medication.
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- 2018
13. Aberrant Dynamic Connectivity for Fear Processing in Anorexia Nervosa and Body Dysmorphic Disorder
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Rangaprakash, D, Bohon, Cara, Lawrence, Katherine E, Moody, Teena, Morfini, Francesca, Khalsa, Sahib S, Strober, Michael, and Feusner, Jamie D
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Eating Disorders ,1.1 Normal biological development and functioning ,Clinical Sciences ,fronto-limbic modulation ,Basic Behavioral and Social Science ,behavioral disciplines and activities ,anorexia nervosa ,Clinical Research ,Underpinning research ,Behavioral and Social Science ,mental disorders ,dynamic effective connectivity ,2.1 Biological and endogenous factors ,Psychology ,Aetiology ,Nutrition ,body dysmorphic disorder ,fearful face processing ,Neurosciences ,Serious Mental Illness ,Brain Disorders ,Anorexia ,Mental Health ,nervous system ,Public Health and Health Services ,Mind and Body ,psychological phenomena and processes - Abstract
Anorexia nervosa (AN) and body dysmorphic disorder (BDD) share distorted perceptions of appearance with extreme negative emotion, yet the neural phenotypes of emotion processing remain underexplored in them, and they have never been directly compared. We sought to determine if shared and disorder-specific fronto-limbic connectivity patterns characterize these disorders. FMRI data was obtained from three unmedicated groups: BDD (n = 32), weight-restored AN (n = 25), and healthy controls (HC; n = 37), while they viewed fearful faces and rated their own degree of fearfulness in response. We performed dynamic effective connectivity modeling with medial prefrontal cortex (mPFC), rostral anterior cingulate cortex (rACC), and amygdala as regions-of-interest (ROI), and assessed associations between connectivity and clinical variables. HCs exhibited significant within-group bidirectional mPFC-amygdala connectivity, which increased across the blocks, whereas BDD participants exhibited only significant mPFC-to-amygdala connectivity (P < 0.05, family-wise error corrected). In contrast, participants with AN lacked significant prefrontal-amygdala connectivity in either direction. AN showed significantly weaker mPFC-to-amygdala connectivity compared to HCs (P = 0.0015) and BDD (P = 0.0050). The mPFC-to-amygdala connectivity was associated with greater subjective fear ratings (R2 = 0.11, P = 0.0016), eating disorder symptoms (R2 = 0.33, P = 0.0029), and anxiety (R2 = 0.29, P = 0.0055) intensity scores. Our findings, which suggest a complex nosological relationship, have implications for understanding emotion regulation circuitry in these related psychiatric disorders, and may have relevance for current and novel therapeutic approaches.
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- 2018
14. Appearance evaluation of others' faces and bodies in anorexia nervosa and body dysmorphic disorder
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Moody, Teena D, Shen, Vivian W, Hutcheson, Nathan L, Henretty, Jennifer R, Sheen, Courtney L, Strober, Michael, and Feusner, Jamie D
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Adult ,Male ,Anorexia Nervosa ,Eating Disorders ,appearance evaluation ,Medical and Health Sciences ,Young Adult ,Thinness ,Clinical Research ,Body Image ,Humans ,overweight ,visual processing ,Nutrition ,body dysmorphic disorder ,Psychology and Cognitive Sciences ,face ,body ,spatial frequency ,Body Dysmorphic Disorders ,Serious Mental Illness ,Anorexia ,Clinical Psychology ,Mental Health ,Female ,attractiveness ratings - Abstract
ObjectiveIndividuals with anorexia nervosa (AN) and body dysmorphic disorder (BDD) exhibit distorted perception and negative evaluations of their own appearance; however, little is known about how they perceive others' appearance, and whether or not the conditions share perceptual distortions.MethodThirty participants with BDD, 22 with AN, now weight-restored, and 39 healthy comparison participants (HC) rated photographs of others' faces and bodies on attractiveness, how overweight or underweight they were, and how much photographs triggered thoughts of their own appearance. We compared responses among groups by stimulus type and by level-of-detail (spatial frequency).ResultsCompared to HCs, AN and BDD had lower attractiveness ratings for others' bodies and faces for high-detail and low-detail images, rated bodies as more overweight, and were more triggered to think of their own appearance for faces and bodies. In AN, symptom severity was associated with greater triggering of thoughts of own appearance and higher endorsement of overweight ratings for bodies. In BDD, symptom severity was associated with greater triggering of thoughts of own appearance for bodies and higher overweight ratings for low-detail images. BDD was more triggered to think of own facial appearance than AN.DiscussionAN and BDD show similar behavioral phenotypes of negative appearance evaluations for others' faces and bodies, and have thoughts of their own appearance triggered even for images outside of their primary appearance concerns, suggesting a more complex cross-disorder body-image phenotype than previously assumed. Future treatment strategies may benefit from addressing how these individuals evaluate others in addition to themselves. © 2016 Wiley Periodicals, Inc.(Int J Eat Disord 2017; 50:127-138).
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- 2017
15. Mammillary body volume abnormalities in anorexia nervosa
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Khalsa, Sahib S, Kumar, Rajesh, Patel, Vandan, Strober, Michael, and Feusner, Jamie D
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Adult ,Fornix ,Anorexia Nervosa ,Adolescent ,Mammillary Bodies ,Eating Disorders ,Medical and Health Sciences ,Young Adult ,Thinness ,Weight Loss ,Humans ,mammillary body ,structural MRI ,Retrospective Studies ,Nutrition ,Wernicke's encephalopathy ,thiamine deficiency ,Psychology and Cognitive Sciences ,Brain ,Magnetic Resonance Imaging ,Brain Disorders ,Anorexia ,Clinical Psychology ,Cross-Sectional Studies ,Mental Health ,Body Composition ,Female ,Biomarkers - Abstract
ObjectiveSeveral case reports of Wernicke's Encephalopathy in anorexia nervosa (AN) caused by thiamine deficiency have described mammillary body (MB) injury, but systematic studies are lacking. Here we evaluated whether underweight and weight-restored individuals with AN demonstrate evidence of abnormal MB morphology, via retrospective examination of a previously collected data set.MethodUsing standard-resolution T1-weighted magnetic resonance imaging at 3 Tesla, we measured MB volume and fornix area in a cross-sectional study of 12 underweight AN, 20 weight-restored AN, and 30 age- and sex-matched healthy comparisons. Because of the small size of these structures, a manual tracing approach was necessary to obtain accurate measurements. A blinded expert rater manually traced MB and fornix structures in each participant.ResultsWe observed significantly smaller MB volumes in the underweight AN group. However, the weight-restored AN group exhibited significantly larger MB volumes. The right fornix was smaller in the weight-restored AN group only.DiscussionThese findings suggest the possibility that MB volume and fornix area could represent potential biomarkers of acute weight loss and restoration, respectively. Verification of this finding through prospective studies evaluating MB morphology, cognition, and thiamine levels longitudinally across individual illness trajectories might be warranted. © 2016 Wiley Periodicals, Inc. (Int J Eat Disord 2016; 49:920-929).
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- 2016
16. Graph-theoretical analysis of resting-state fMRI in pediatric obsessive-compulsive disorder
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Armstrong, Casey C, Moody, Teena D, Feusner, Jamie D, McCracken, James T, Chang, Susanna, Levitt, Jennifer G, Piacentini, John C, and O'Neill, Joseph
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Male ,Obsessive-Compulsive Disorder ,Adolescent ,Rest ,fMRI graph theory ,Medical and Health Sciences ,Clinical Research ,Neural Pathways ,Obsessive-compulsive disorder ,Humans ,Child ,Cerebral Cortex ,Pediatric ,Psychiatry ,Functional Neuroimaging ,Psychology and Cognitive Sciences ,Neurosciences ,Frontal pole ,Serious Mental Illness ,Magnetic Resonance Imaging ,Sensorimotor cortex ,Mental Health ,Case-Control Studies ,Neurological ,Female ,Supplementary motor cortex - Abstract
BackgroundfMRI graph theory reveals resting-state brain networks, but has never been used in pediatric OCD.MethodsWhole-brain resting-state fMRI was acquired at 3T from 21 children with OCD and 20 age-matched healthy controls. BOLD connectivity was analyzed yielding global and local graph-theory metrics across 100 child-based functional nodes. We also compared local metrics between groups in frontopolar, supplementary motor, and sensorimotor cortices, regions implicated in recent neuroimaging and/or brain stimulation treatment studies in OCD.ResultsAs in adults, the global metric small-worldness was significantly (P
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- 2016
17. Supplementary Tables from How the heart speaks to the brain: neural activity during cardiorespiratory interoceptive stimulation
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Mahlega S. Hassanpour, Lirong Yan, Wang, Danny J. J., Lapidus, Rachel C., Arevian, Armen C., W. Kyle Simmons, Feusner, Jamie D., and Khalsa, Sahib S.
- Abstract
Tables S1-S4
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- 2016
- Full Text
- View/download PDF
18. Supplementary Figures from How the heart speaks to the brain: neural activity during cardiorespiratory interoceptive stimulation
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Mahlega S. Hassanpour, Lirong Yan, Wang, Danny J. J., Lapidus, Rachel C., Arevian, Armen C., W. Kyle Simmons, Feusner, Jamie D., and Khalsa, Sahib S.
- Abstract
Figures S1-S6
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- 2016
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19. Supporting data from How the heart speaks to the brain: neural activity during cardiorespiratory interoceptive stimulation
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Mahlega S. Hassanpour, Lirong Yan, Wang, Danny J. J., Lapidus, Rachel C., Arevian, Armen C., W. Kyle Simmons, Feusner, Jamie D., and Khalsa, Sahib S.
- Abstract
Prominent theories emphasize key roles for the insular cortex in the central representation of interoceptive sensations, but how this brain region responds dynamically to changes in interoceptive state remains incompletely understood. Here, we systematically modulated cardiorespiratory sensations in humans using bolus infusions of isoproterenol, a rapidly acting peripheral beta-adrenergic agonist similar to adrenaline. To identify central neural processes underlying these parametrically modulated interoceptive states, we used pharmacological functional magnetic resonance imaging (phMRI) to simultaneously measure blood-oxygenation-level dependent (BOLD) and arterial spin labelling (ASL) signals in healthy participants. Isoproterenol infusions induced dose-dependent increases in heart rate and cardiorespiratory interoception, with all participants endorsing increased sensations at the highest dose. These reports were accompanied by increased BOLD and ASL activation of the right insular cortex at the highest dose. Different responses across insula subregions were also observed. During anticipation, insula activation increased in more anterior regions. During stimulation, activation increased in the mid-dorsal and posterior insula on the right, but decreased in the same regions on the left. This study demonstrates the feasibility of phMRI for assessing brain activation during adrenergic interoceptive stimulation, and provides further evidence supporting a dynamic role for the insula in representing changes in cardiorespiratory states.This article is part of the themed issue ‘Interoception beyond homeostasis: affect, cognition and mental health’.
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- 2016
- Full Text
- View/download PDF
20. Associations of medication with subcortical morphology across the lifespan in OCD: Results from the international ENIGMA Consortium
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Iliyan Ivanov, Premika S.W. Boedhoe, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Paul D. Arnold, Srinivas Balachander, Justin T. Baker, Nerisa Banaj, Nuria Bargalló, Marcelo C. Batistuzzo, Francesco Benedetti, Jan C. Beucke, Irene Bollettini, Silvia Brem, Brian P. Brennan, Jan Buitelaar, Rosa Calvo, Yuqi Cheng, Kang Ik K. Cho, Sara Dallaspezia, Damiaan Denys, Juliana B. Diniz, Benjamin A. Ely, Jamie D. Feusner, Sónia Ferreira, Kate D. Fitzgerald, Martine Fontaine, Patricia Gruner, Gregory L. Hanna, Yoshiyuki Hirano, Marcelo Q. Hoexter, Chaim Huyser, Keisuke Ikari, Anthony James, Fern Jaspers-Fayer, Hongyan Jiang, Norbert Kathmann, Christian Kaufmann, Minah Kim, Kathrin Koch, Jun Soo Kwon, Luisa Lázaro, Yanni Liu, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M. Menchón, Luciano Minuzzi, Astrid Morer, Pedro Morgado, Akiko Nakagawa, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Erika L. Nurmi, Sanghoon Oh, Chris Perriello, John C. Piacentini, Maria Picó-Pérez, Fabrizio Piras, Federica Piras, Y.C. Janardhan Reddy, Daniela Rodriguez Manrique, Yuki Sakai, Eiji Shimizu, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Emily R. Stern, Michael C. Stevens, S. Evelyn Stewart, Philip R. Szeszko, David F. Tolin, Daan van Rooij, Dick J. Veltman, Ysbrand D. van der Werf, Guido A. van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Anri Watanabe, Lidewij H. Wolters, Xiufeng Xu, Je-Yeon Yun, Mojtaba Zarei, Fengrui Zhang, Qing Zhao, Neda Jahanshad, Sophia I. Thomopoulos, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Joseph O'Neill, Sara Poletti, Egill Axfjord Fridgeirsson, Toshikazu Ikuta, Stella J. de Wit, Chris Vriend, Selina Kasprzak, Masaru Kuno, Jumpei Takahashi, Euripedes C. Miguel, Roseli G. Shavitt, Morgan Hough, Jose C. Pariente, Ana E. Ortiz, Sara Bertolín, Eva Real, Cinto Segalàs, Pedro Silva Moreira, Nuno Sousa, Jin Narumoto, Kei Yamada, Jinsong Tang, Jean-Paul Fouche, Taekwan Kim, Sunah Choi, Minji Ha, Sunghyun Park, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Systems & Network Neuroscience, Amsterdam Neuroscience - Neurodegeneration, Adult Psychiatry, Child Psychiatry, Paediatric Psychosocial Care, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Graduate School, Ivanov, Iliyan, Boedhoe, Premika S W, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Arnold, Paul D, Balachander, Sriniva, Baker, Justin T, Banaj, Nerisa, Bargalló, Nuria, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Brem, Silvia, Brennan, Brian P, Buitelaar, Jan, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Dallaspezia, Sara, Denys, Damiaan, Diniz, Juliana B, Ely, Benjamin A, Feusner, Jamie D, Ferreira, Sónia, Fitzgerald, Kate D, Fontaine, Martine, Gruner, Patricia, Hanna, Gregory L, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Huyser, Chaim, Ikari, Keisuke, James, Anthony, Jaspers-Fayer, Fern, Jiang, Hongyan, Kathmann, Norbert, Kaufmann, Christian, Kim, Minah, Koch, Kathrin, Kwon, Jun Soo, Lázaro, Luisa, Liu, Yanni, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, Oh, Sanghoon, Perriello, Chri, Piacentini, John C, Picó-Pérez, Maria, Piras, Fabrizio, Piras, Federica, Reddy, Y C Janardhan, Manrique, Daniela Rodriguez, Sakai, Yuki, Shimizu, Eiji, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carle, Spalletta, Gianfranco, Stern, Emily R, Stevens, Michael C, Stewart, S Evelyn, Szeszko, Philip R, Tolin, David F, van Rooij, Daan, Veltman, Dick J, van der Werf, Ysbrand D, van Wingen, Guido A, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Watanabe, Anri, Wolters, Lidewij H, Xu, Xiufeng, Yun, Je-Yeon, Zarei, Mojtaba, Zhang, Fengrui, Zhao, Qing, Jahanshad, Neda, Thomopoulos, Sophia I, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, and O'Neill, Joseph
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Obsessive-Compulsive Disorder ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,OCD ,Psychotropics ,Longevity ,SRIs ,Magnetic Resonance Imaging ,Benzodiazepines ,Psychiatry and Mental health ,Clinical Psychology ,Age ,Cross-Sectional Studies ,Subcortical volumes ,130 000 Cognitive Neurology & Memory ,Child, Preschool ,Serotonin Uptake Inhibitors ,Humans ,Child ,Selective Serotonin Reuptake Inhibitors ,Aged ,Antipsychotic Agents - Abstract
Background: Widely used psychotropic medications for obsessive-compulsive disorder (OCD) may change the volumes of subcortical brain structures, and differently in children vs. adults. We measured subcortical volumes cross-sectionally in patients finely stratified for age taking various common classes of OCD drugs. Methods: The ENIGMA-OCD consortium sample (1081 medicated/1159 unmedicated OCD patients and 2057 healthy controls aged 6–65) was divided into six successive 6–10-year age-groups. Individual structural MRIs were parcellated automatically using FreeSurfer into 8 regions-of-interest (ROIs). ROI volumes were compared between unmedicated and medicated patients and controls, and between patients taking serotonin reuptake inhibitors (SRIs), tricyclics (TCs), antipsychotics (APs), or benzodiazepines (BZs) and unmedicated patients. Results: Compared to unmedicated patients, volumes of accumbens, caudate, and/or putamen were lower in children aged 6–13 and adults aged 50–65 with OCD taking SRIs (Cohen's d = −0.24 to −0.74). Volumes of putamen, pallidum (d = 0.18–0.40), and ventricles (d = 0.31–0.66) were greater in patients aged 20–29 receiving APs. Hippocampal volumes were smaller in patients aged 20 and older taking TCs and/or BZs (d = −0.27 to −1.31). Conclusions: Results suggest that TCs and BZs could potentially aggravate hippocampal atrophy of normal aging in older adults with OCD, whereas SRIs may reduce striatal volumes in young children and older adults. Similar to patients with psychotic disorders, OCD patients aged 20–29 may experience subcortical nuclear and ventricular hypertrophy in relation to APs. Although cross-sectional, present results suggest that commonly prescribed agents exert macroscopic effects on subcortical nuclei of unknown relation to therapeutic response.
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- 2022
21. Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group
- Author
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Alan Anticevic, Valentina Ciullo, Janardhanan C. Narayanaswamy, Paul D. Arnold, Pino Alonso, Seiji Nishida, Luisa Lázaro, Christine Lochner, Zhen Wang, Joseph O'Neill, Silvia Brem, Guido A. Van Wingen, Jean Paul Fouche, Marcelo Queiroz Hoexter, Y. C.Janardhan Reddy, Michael C. Stevens, Stephanie H. Ameis, Fabrizio Piras, Jun Soo Kwon, Rosa Calvo, Marcelo C. Batistuzzo, Gregory L. Hanna, Yoshinari Abe, Yuki Sakai, David F. Tolin, Irene Bollettini, Kathrin Koch, H. Blair Simpson, Noam Soreni, Erika L. Nurmi, Kang Ik Kevin Cho, Luciano Minuzzi, Jan C. Beucke, Susanne Walitza, Jamie D. Feusner, Derrek P. Hibar, Chaim Huyser, Anna Calvo, Tomohiro Nakao, Ignacio Martínez-Zalacaín, Patricia Gruner, Francesco Benedetti, Je Yeon Yun, David Mataix-Cols, Paul M. Thompson, Odile A. van den Heuvel, Anthony A. James, Premika S.W. Boedhoe, Yuqi Cheng, Hao Hu, Tim Jonas Reess, John Piacentini, Carles Soriano-Mas, Neda Jahanshad, Kate D. Fitzgerald, Astrid Morer, Sara Dallaspezia, Gianfranco Spalletta, Dan J. Stein, Takashi Nakamae, João Ricardo Sato, Egill A. Fridgeirsson, Christian Kaufmann, Ganesan Venkatasubramanian, Philip R. Szeszko, Lianne Schmaal, Rachel Marsh, Norbert Kathmann, Anushree Bose, Federica Piras, José M. Menchón, D. Denys, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Boedhoe, Premika S W, Schmaal, Lianne, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Calvo, Anna, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Ciullo, Valentina, Dallaspezia, Sara, Denys, Damiaan, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Hanna, Gregory L, Hibar, Derrek P, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Jahanshad, Neda, James, Anthony, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kwon, Jun Soo, Lazaro, Luisa, Lochner, Christine, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Morer, Astrid, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nishida, Seiji, Nurmi, Erika, O'Neill, Joseph, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, Y C Janardhan, Reess, Tim J, Sakai, Yuki, Sato, Joao R, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carle, Spalletta, Gianfranco, Stevens, Michael C, Szeszko, Philip R, Tolin, David F, van Wingen, Guido A, Venkatasubramanian, Ganesan, Walitza, Susanne, Wang, Zhen, Yun, Je-Yeon, Thompson, Paul M, Stein, Dan J, van den Heuvel, Odile A, ANS - Compulsivity, Impulsivity & Attention, Adult Psychiatry, Graduate School, Child Psychiatry, and Netherlands Institute for Neuroscience (NIN)
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Adult ,Obsessive-Compulsive Disorder ,medicine.medical_specialty ,Adolescent ,FreeSurfer ,behavioral disciplines and activities ,Article ,Temporal lobe ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Neuroimaging ,Reference Values ,Cortical abnormalities ,Parietal Lobe ,mental disorders ,Journal Article ,medicine ,Obsessive-compulsive disorder ,Humans ,Cortical Thickne ,Age of Onset ,Young adult ,Child ,Psychiatry ,Cerebral Cortex ,Neurosi obsessiva ,Parietal lobe ,Surface Area ,Voxel-based morphometry ,Magnetic Resonance Imaging ,Temporal Lobe ,humanities ,Frontal Lobe ,030227 psychiatry ,Psychiatry and Mental health ,Diagnòstic per la imatge ,Frontal lobe ,Diagnostic imaging ,Age of onset ,Psychology ,030217 neurology & neurosurgery ,MRI - Abstract
Objective: Brain imaging studies of structural abnormalities in OCD have yielded inconsistent results, partly because of limited statistical power, clinical heterogeneity, and methodological differences. The authors conducted meta- and mega-analyses comprising the largest study of cortical morphometry in OCD ever undertaken. Method: T1-weighted MRI scans of 1,905 OCD patients and 1,760 healthy controls from 27 sites worldwide were processed locally using FreeSurfer to assess cortical thickness and surface area. Effect sizes for differences between patients and controls, and associations with clinical characteristics, were calculated using linear regression models controlling for age, sex, site, and intracranial volume. Results: In adult OCD patients versus controls, we found a significantly lower surface area for the transverse temporal cortexand a thinner inferiorparietalcortex.Medicated adult OCD patients also showed thinner cortices throughout the brain. In pediatric OCD patients compared with controls, we found significantly thinner inferior and superior parietal cortices, but none of the regions analyzed showedsignificant differences in surface area. However, medicated pediatric OCD patients had lower surface area in frontal regions. Cohen's d effect sizes varied from 20.10 to 20.33. Conclusions: The parietal cortex was consistently implicated in both adults and children with OCD. More widespread cortical thickness abnormalities were found in medicated adult OCD patients, and more pronounced surface area deficits (mainly in frontal regions) were found in medicated pediatric OCD patients. These cortical measures represent distinct morphological features and may be differentially affected during different stages of development and illness, and possibly moderated by disease profile and medication.
- Published
- 2018
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