Search

Your search keyword '"Gürsel, Deniz A"' showing total 30 results
Start Over Author "Gürsel, Deniz A"
30 results on '"Gürsel, Deniz A"'

1. Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.

Author

Bruin, Willem B, Taylor, Luke, Thomas, Rajat M, Shock, Jonathan P, Zhutovsky, Paul, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Anticevic, Alan, Arnold, Paul D, Assogna, Francesca, Benedetti, Francesco, Beucke, Jan C, Boedhoe, Premika SW, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P, Buitelaar, Jan K, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A, Feusner, Jamie D, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Gruner, Patricia, Gürsel, Deniz A, Hauser, Tobias U, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, Ivanov, Iliyan, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Liu, Yanni, Lochner, Christine, Lázaro, Luisa, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M, Minuzzi, Luciano, Moreira, Pedro S, Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Pariente, Jose C, Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, YC Janardhan, Rus-Oswald, Oana G, Sakai, Yuki, Sato, João R, Schmaal, Lianne, Shimizu, Eiji, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stern, Emily R, Stevens, Michael C, Stewart, S Evelyn, Szeszko, Philip R, Tolin, David F, Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, van Rooij, Daan, ENIGMA-OCD Working Group, Thompson, Paul M, van den Heuvel, Odile A, Stein, Dan J, and van Wingen, Guido A

Subjects
ENIGMA-OCD Working Group, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

No diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Here, we aimed to identify magnetic resonance imaging (MRI) biomarkers for OCD, using 46 data sets with 2304 OCD patients and 2068 healthy controls from the ENIGMA consortium. We performed machine learning analysis of regional measures of cortical thickness, surface area and subcortical volume and tested classification performance using cross-validation. Classification performance for OCD vs. controls using the complete sample with different classifiers and cross-validation strategies was poor. When models were validated on data from other sites, model performance did not exceed chance-level. In contrast, fair classification performance was achieved when patients were grouped according to their medication status. These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.

Published
2020

2. Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups

Author

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

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Biomedical Imaging, Intellectual and Developmental Disabilities (IDD), Pediatric, Brain Disorders, Attention Deficit Hyperactivity Disorder (ADHD), Mental Health, Neurosciences, Autism, Clinical Research, Mental Illness, Behavioral and Social Science, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Mental health, Neurological, Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Autism Spectrum Disorder, Cerebrum, Child, Female, Human Development, Humans, Male, Neuroimaging, Obsessive-Compulsive Disorder, Organ Size, Psychopathology, Research Report, Systems Analysis, ENIGMA ADHD working group, ENIGMA ASD working group, ENIGMA OCD working group, Attention Deficit Hyperactivity Disorder, ENIGMA, Structural MRI, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Clinical and health psychology
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.

Published
2020

3. Mapping Cortical and Subcortical Asymmetry in Obsessive-Compulsive Disorder: Findings From the ENIGMA Consortium

Author

Kong, Xiang-Zhen, Boedhoe, Premika SW, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H, Arnold, Paul D, Assogna, Francesca, Baker, Justin T, Batistuzzo, Marcelo C, Benedetti, Francesco, Beucke, Jan C, Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P, Buitelaar, Jan, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K, Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A, Feusner, Jamie, Fitzgerald, Kate D, Fouche, Jean-Paul, Fridgeirsson, Egill A, Glahn, David C, Gruner, Patricia, Gürsel, Deniz A, Hauser, Tobias U, Hirano, Yoshiyuki, Hoexter, Marcelo Q, Hu, Hao, Huyser, Chaim, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Lazaro, Luisa, Liu, Yanni, Lochner, Christine, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Medland, Sarah E, Menchón, José M, Minuzzi, Luciano, Moreira, Pedro S, Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C, Nurmi, Erika L, O'Neill, Joseph, Pariente, Jose C, Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Pittenger, Christopher, Reddy, YC Janardhan, Rus-Oswald, Oana Georgiana, Sakai, Yuki, Sato, Joao R, Schmaal, Lianne, Simpson, H Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stern, Emily R, Stevens, Michael C, Stewart, S Evelyn, Szeszko, Philip R, Tolin, David F, Tsuchiyagaito, Aki, van Rooij, Daan, van Wingen, Guido A, Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, Group, ENIGMA OCD Working, Anticevic, Alan, Banaj, Nerisa, and Bargalló, Nuria

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Psychology, Serious Mental Illness, Mental Health, Neurosciences, Brain Disorders, Clinical Research, Anxiety Disorders, Neurological, Mental health, Adult, Brain, Brain Mapping, Child, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Obsessive-Compulsive Disorder, Thalamus, Brain asymmetry, Laterality, Mega-analysis, Obsessive-compulsive disorder, Pallidum, ENIGMA OCD Working Group, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological sciences, Biomedical and clinical sciences
Abstract

BackgroundLateralized dysfunction has been suggested in obsessive-compulsive disorder (OCD). However, it is currently unclear whether OCD is characterized by abnormal patterns of brain structural asymmetry. Here we carried out what is by far the largest study of brain structural asymmetry in OCD.MethodsWe studied a collection of 16 pediatric datasets (501 patients with OCD and 439 healthy control subjects), as well as 30 adult datasets (1777 patients and 1654 control subjects) from the OCD Working Group within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Asymmetries of the volumes of subcortical structures, and of measures of regional cortical thickness and surface areas, were assessed based on T1-weighted magnetic resonance imaging scans, using harmonized image analysis and quality control protocols. We investigated possible alterations of brain asymmetry in patients with OCD. We also explored potential associations of asymmetry with specific aspects of the disorder and medication status.ResultsIn the pediatric datasets, the largest case-control differences were observed for volume asymmetry of the thalamus (more leftward; Cohen's d = 0.19) and the pallidum (less leftward; d = -0.21). Additional analyses suggested putative links between these asymmetry patterns and medication status, OCD severity, or anxiety and depression comorbidities. No significant case-control differences were found in the adult datasets.ConclusionsThe results suggest subtle changes of the average asymmetry of subcortical structures in pediatric OCD, which are not detectable in adults with the disorder. These findings may reflect altered neurodevelopmental processes in OCD.

Published
2020

4. Investigating disorder-specific and transdiagnostic alterations in model-based and model-free decision-making.

Author

Knolle, Franziska, Sen, Pritha, Culbreth, Adam, Koch, Kathrin, Schmitz-Koep, Benita, Gürsel, Deniz A., Wunderlich, Klaus, Avram, Mihai, Berberich, Götz, Sorg, Christian, and Brandl, Felix

Subjects
DIAGNOSIS of schizophrenia, DIAGNOSIS of mental depression, DIAGNOSIS of obsessive-compulsive disorder, SCHIZOPHRENIA treatment, STATISTICAL models, DECISION support systems, EARLY medical intervention, RESEARCH funding, LOGISTIC regression analysis, DECISION making, OBSESSIVE-compulsive disorder, LONGITUDINAL method, ANHEDONIA, EARLY diagnosis, COMPARATIVE studies, MENTAL depression, COMORBIDITY
Abstract

Background: Decision-making alterations are present in psychiatric illnesses like major depressive disorder (MDD), obsessive–compulsive disorder (OCD), and schizophrenia, linked to symptoms of the respective disorders. We sought to analyze unique and shared decision-making alterations in these disorders, which is crucial for early diagnosis and treatment, especially given potential comorbidities. Methods: Using 2 computational modelling approaches — logistic regression and hierarchical Bayesian modelling — we analyzed alterations in model-based and model-free decision-making in a transdiagnostic cohort of patients with MDD, OCD, or schizophrenia. Our aim was to identify disorder-specific and shared alterations and their associations with symptoms. Results: We included 23 patients with MDD, 25 patients with OCD, 27 patients with schizophrenia, and 25 controls. Overall, participants of all groups relied on model-free decision-making. Patients with schizophrenia had the lowest learning rate and highest switching rate, indicating low perseverance. Furthermore, patients with OCD were more random in both task stages than controls and patients with MDD. All patient groups exhibited more randomness in responses than controls, with the schizophrenia group showing the highest levels. Increased model-free behaviour correlated with elevated depressive symptoms, and more model-based decision-making was linked to lower anhedonia levels across all patient groups. Limitations: The sample size in each group was small. Conclusion: This study highlights disorder-specific and shared decision-making alterations among people with MDD, OCD, or schizophrenia. Our findings suggest that anhedonia and depressive symptoms, which are present in all 3 disorders, share underlying behavioural mechanisms. Improving model-based behaviour may be a target for intervention and treatment. Furthermore, completely random behaviour in the 2-step task appears to distinctly differentiate patients with schizophrenia in remission. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

10. Veränderungen der funktionellen Konnektivität bei der Zwangsstörung

Author

Gürsel, Deniz Asena, Koch, Kathrin (Prof. Dr.), Schwarzbach, Jens (Prof. Dr.), and Ploner, Markus (Prof. Dr.)

Subjects
Medizin und Gesundheit, OCD, fMRI, resting-state, functional connectivity, ICA, meta-analysis, ddc:610, Zwangsstörung, funktionelle Konnektivität, fMRT, fMRI
Abstract

Neuroimaging studies have led to a better characterization of the neuropsychopathology of obsessive-compulsive disorder (OCD). These findings mainly demonstrate disturbances in fronto-striatal circuits as well as impairments in large-scale networks, encompassing fronto-parietal-limbic areas, defined by functionally connected brain regions, reflecting spontaneous brain activity. Nevertheless, there is inconsistency in the reported results. For instance, while some studies point towards increased connectivity between such large-scale networks, others report decreased connectivity. Furthermore, most of these studies employed hypothesis-driven approaches, basing their assumptions on models derived from neurobiological (i.e., animal, lesion) studies and reports from positron emission tomography (PET) studies. Findings from data-driven approaches are scarce, and it is poorly understood whether the findings of the two approaches converge. To tackle these issues, we conducted two studies that represent the core of this thesis. First, to overcome inconsistencies and to find a consistent and pathologically relevant pattern of connectivity alterations in OCD, we performed a coordinate-based meta-analysis of 18 whole-brain resting-state functional magnetic resonance imaging (fMRI) studies comparing OCD patients and healthy controls (total sample of 541 patients, 572 healthy controls). The meta-analysis resulted in (1) consistent hypoconnectivity within frontoparietal and salience network, and between salience, frontoparietal and default-mode network, and (2) consistent general dysconnectivity (no specific direction of connectivity change) within default-mode and frontoparietal network, as well as between frontoparietal and default-mode, salience network, limbic network, but also with the striatum and thalamus. Second, we conducted a resting-state fMRI study in a sample of OCD patients and healthy controls and employed independent component and sliding time window analysis to investigate functional connectivity changes in a data-driven way. We found that (1) the frontoparietal network showed within-network connectivity alterations, mainly between the left and right parts, and (2) dynamic connectivity changes between the left and the right frontoparietal network and between the frontoparietal network and the salience network. Taken together, these results provided evidence for both connectivity alterations between frontoparietal, salience, and default-mode network, reflecting the so-called triple network model of psychopathology in OCD, and alterations in fronto-striatal circuitry. Furthermore, they provide evidence that independent of methodological approaches, findings converge on the frontoparietal network as the main locus of alterations in OCD, underlining the importance of these regions for the pathophysiology of the disorder. Neuroimaging-Studien haben zu einer besseren Charakterisierung der Neuropsychopathologie der Zwangsstörung (OCD) geführt. Die Ergebnisse dieser Studien zeigen hauptsächlich Störungen in frontostriatalen Schleifen sowie Beeinträchtigungen in großen Netzwerken, die frontoparietal-limbische Areale umfassen, welche durch funktionell verbundene Hirnregionen definiert sind und die spontane Hirnaktivität widerspiegeln. Trotzdem gibt es Inkonsistenzen in den berichteten Ergebnissen. Während einige Studien auf eine erhöhte Konnektivität zwischen solch großen Netzwerken hinweisen, berichten andere von einer verringerten Konnektivität. Darüber hinaus verwendeten die meisten dieser Studien hypothesengetriebene Ansätze, wobei ihre Annahmen auf Modellen beruhten, die aus neurobiologischen (d.h. Tier-, Läsions-) Studien und Positronen-Emissions-Tomographie (PET) -Studien abgeleitet waren. Erkenntnisse aus datengetriebenen Ansätzen sind selten, und es ist unklar, ob die Ergebnisse der beiden Ansätze übereinstimmen. Um diese Probleme anzugehen, haben wir zwei Studien durchgeführt, die den Kern dieser Arbeit darstellen. Um Inkonsistenzen zu überwinden und ein konsistentes und pathologisch relevantes Muster von Konnektivitätsänderungen bei Zwangsstörungen zu finden, führten wir zunächst eine koordinatenbasierte Metaanalyse von 18 Untersuchungen zur funktionellen Magnetresonanztomographie (fMRI) unter Ruhebedingungen (d.h. ohne Aufgabe) durch, in denen Patienten mit Zwangsstörung und gesunde Kontrollen verglichen wurden (Gesamtstichprobe von 541 Patienten, 572 gesunde Kontrollen). Die Metaanalyse ergab (1) eine konsistente Hypokonnektivität innerhalb des Frontoparietalen- und Salienz-Netzwerks sowie zwischen dem Salienz-, dem Frontoparietalen- und dem Default-Mode-Netzwerk und (2) eine allgemein konsistente Dyskonnektivität (d.h. keine spezifische Richtung der Konnektivitätsänderung) innerhalb des Default-Mode- und des Frontoparietalen-Netzwerks, sowie zwischen Frontoparietalem- und Default-Mode-Netzwerk, Salienz-Netzwerk, Limbisches-Netzwerk, Striatum und Thalamus. Zweitens führten wir eine fMRI-Studie unter Ruhebedingungen an einer Stichprobe von OCD-Patienten und gesunden Kontrollpersonen durch und verwendeten eine Unabhängigkeitsnalyse (Independent Component Analysis) und eine sogenannte Sliding Time Window Analyse, um Änderungen der funktionellen Konnektivität datengesteuert zu untersuchen. Die Studie ergab, dass (1) das Frontoparietale-Netzwerk Änderungen der Netzwerkkonnektivität aufwies, hauptsächlich zwischen dem linken und rechten Teil, und (2) dynamische Konnektivitätsänderungen zwischen dem linken und rechten Frontoparietalen-Netzwerk sowie zwischen dem Frontoparietalen-Netzwerk und dem Salienz-Netzwerk. Zusammengenommen lieferten diese Ergebnisse demnach Hinweise auf Konnektivitätsänderungen zwischen Frontoparietalem-, Salienz- und Default-Mode-Netzwerk, die das sogenannte Triple-Network-Modell der Psychopathologie bei Zwangsstörungen untermauern, sowie auf Änderungen der frontostriatalen Schleifen. Darüber hinaus liefern sie Belege dafür, dass unabhängig von methodischen Ansätzen der Schwerpunkt der Konnektivitätsveränderungen im frontoparietalen Netzwerk bei der Zwangsstörung zu finden ist, was die Bedeutung dieser Regionen für die Pathophysiologie der Erkrankung unterstreicht.

Published
2019

11. Altered Cortico–Striatal Functional Connectivity During Resting State in Obsessive–Compulsive Disorder

Author

Calzà, Jessica, Gürsel, Deniz A., Schmitz-Koep, Benita, Bremer, Benno, Reinholz, Lena, Berberich, Götz, and Koch, Kathrin

Subjects
Psychiatry, fronto–striatal, cortico–striato–thalamo–cortical, subthalamic nucleus, obsessive–compulsive disorder, resting-state, connectivity, mental disorders, Original Research
Abstract

Background: Neuroimaging studies show that obsessive–compulsive disorder (OCD) is characterized by an alteration of the cortico–striato–thalamo–cortical (CSTC) system in terms of an imbalance of activity between the direct and the indirect loop of the CSTC. As resting-state functional connectivity (FC) studies investigated only specific parts of the CSTC in patients with OCD up to now, the present study aimed at exploring FC in the CSTC as a whole. Methods: We investigated potential alterations in resting-state FC within the CSTC system in 44 OCD patients and 40 healthy controls by taking into consideration all relevant nodes of the direct and indirect CSTC loop. Results: Compared to healthy controls, OCD patients showed an increased FC between the left subthalamic nucleus (STN) and the left external globus pallidus (GPe), as well as an increased FC between the left GPe and the left internal globus pallidus (GPi). Conclusion: These findings may contribute to a better understanding of the OCD pathophysiology by providing further information on the connectivity alterations within specific regions of the CSTC system. In particular, increased FC between the STN and the left GPe may play a major role in OCD pathology. This assumption is consistent with the fact that these regions are also the main target sites of therapeutic deep brain stimulation in OCD.

Published
2019

12. Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium : medication matters

Author

Bruin, Willem B., Taylor, Luke, Thomas, Rajat M., Shock, Jonathan P., Zhutovsky, Paul, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Assogna, Francesca, Benedetti, Francesco, Beucke, Jan C., Boedhoe, Premika S. W., Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo-Escalona, Rosa, Cheng, Yuqi, Cho, Kang Ik K., Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A., Feusner, Jamie D., Fitzgerald, Kate D., Fouche, Jean-Paul, Fridgeirsson, Egill A., Gruner, Patricia, Gürsel, Deniz A., Hauser, Tobias U., Hirano, Yoshiyuki, Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ivanov, Iliyan, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Liu, Yanni, Lochner, Christine, Lázaro, Luisa, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón Magriñá, José Manuel, Minuzzi, Luciano, Moreira, Pedro S., Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Nurmi, Erika L., O'Neill, Joseph, Pariente, Jose C., Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, Y. C. Janardhan, Rus-Oswald, Oana G., Sakai, Yuki, Sato, João R., Schmaal, Lianne, Shimizu, Eiji, Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Tolin, David F., Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, van Rooij, Daan, Thompson, Paul M., van den Heuvel, Odile A., Stein, Dan J., van Wingen, Guido A., Bruin, Willem B., Taylor, Luke, Thomas, Rajat M., Shock, Jonathan P., Zhutovsky, Paul, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Assogna, Francesca, Benedetti, Francesco, Beucke, Jan C., Boedhoe, Premika S. W., Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P., Buitelaar, Jan K., Calvo-Escalona, Rosa, Cheng, Yuqi, Cho, Kang Ik K., Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A., Feusner, Jamie D., Fitzgerald, Kate D., Fouche, Jean-Paul, Fridgeirsson, Egill A., Gruner, Patricia, Gürsel, Deniz A., Hauser, Tobias U., Hirano, Yoshiyuki, Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ivanov, Iliyan, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Kwon, Jun Soo, Liu, Yanni, Lochner, Christine, Lázaro, Luisa, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón Magriñá, José Manuel, Minuzzi, Luciano, Moreira, Pedro S., Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Nurmi, Erika L., O'Neill, Joseph, Pariente, Jose C., Perriello, Chris, Piacentini, John, Piras, Fabrizio, Piras, Federica, Reddy, Y. C. Janardhan, Rus-Oswald, Oana G., Sakai, Yuki, Sato, João R., Schmaal, Lianne, Shimizu, Eiji, Simpson, H. Blair, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Stewart, S. Evelyn, Szeszko, Philip R., Tolin, David F., Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, van Rooij, Daan, Thompson, Paul M., van den Heuvel, Odile A., Stein, Dan J., and van Wingen, Guido A.

Abstract

No diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Here, we aimed to identify magnetic resonance imaging (MRI) biomarkers for OCD, using 46 data sets with 2304 OCD patients and 2068 healthy controls from the ENIGMA consortium. We performed machine learning analysis of regional measures of cortical thickness, surface area and subcortical volume and tested classification performance using cross-validation. Classification performance for OCD vs. controls using the complete sample with different classifiers and cross-validation strategies was poor. When models were validated on data from other sites, model performance did not exceed chance-level. In contrast, fair classification performance was achieved when patients were grouped according to their medication status. These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.

Published
2020

13. Examining Differences in Fear Learning in Patients With Obsessive-Compulsive Disorder With Pupillometry, Startle Electromyography and Skin Conductance Responses.

Author

Pöhlchen, Dorothee, Priouret, Marthe, Kraft, Miriam S., Binder, Florian P., Gürsel, Deniz A., Berberich, Götz, Koch, Kathrin, Spoormaker, Victor I., Binder, E. B., Brückl, T. M., Czisch, M., Erhardt, A., Grandi, N. C., Lucae, S., Sämann, P., Tontsch, A., von Muecke-Heim, I.A., and Ziebula, J.

Subjects
GALVANIC skin response, OBSESSIVE-compulsive disorder, PUPILLOMETRY, FEAR, STARTLE reaction, ELECTROMYOGRAPHY, VERBAL learning, AMPLITUDE estimation
Abstract

Obsessive-compulsive disorder (OCD) is characterized by recurrent, persistent thoughts and repetitive behaviors causing stress and anxiety. In the associative learning model of OCD, mechanisms of fear extinction are supposed to partly underlie symptom development, maintenance and treatment of OCD, proposing that OCD patients suffer from rigid memory associations and inhibitory learning deficits. To test these assumptions, previous studies have used skin conductance and subjective ratings as readouts in fear conditioning paradigms, finding impaired fear extinction learning, impaired fear extinction recall or no differences between individuals with OCD and healthy controls. Against this heterogeneous background, we tested fear acquisition and extinction in 37 OCD patients and 56 healthy controls, employing skin conductance as well as pupillometry and startle electromyography. Extinction recall was also included in a subsample. We did not observe differences between groups in any of the task phases, except a trend toward higher startle amplitudes during extinction for OCD. Overall, sensitive readouts such as pupillometry and startle responses did not provide evidence for moderate-to-large inhibitory learning deficits using classical fear conditioning, challenging the assumption of generically impaired extinction learning and memory in OCD. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

14. Network-based decoupling of local gyrification in obsessive-compulsive disorder

Author

Reess, Tim Jonas, Rus, Oana Georgiana, Gürsel, Deniz A, Schmitz-Koep, Benita, Wagner, Gerd, Berberich, Götz, Koch, Kathrin, University of Zurich, and Reess, Tim Jonas

Subjects
2728 Neurology (clinical), 10043 Clinic for Neuroradiology, 2808 Neurology, 2741 Radiology, Nuclear Medicine and Imaging, 610 Medicine & health, 2702 Anatomy, 3614 Radiological and Ultrasound Technology
Published
2018
Full Text
View/download PDF

16. Resting-state functional connectivity alterations in obsessive-compulsive disorder

Author

Ploner, Markus (Prof. Dr.), Koch, Kathrin (Prof. Dr.), Schwarzbach, Jens (Prof. Dr.), Gürsel, Deniz Asena, Ploner, Markus (Prof. Dr.), Koch, Kathrin (Prof. Dr.), Schwarzbach, Jens (Prof. Dr.), and Gürsel, Deniz Asena

Abstract

Neuroimaging studies have led to a better characterization of the neuropsychopathology of obsessive-compulsive disorder (OCD). These findings mainly demonstrate disturbances in fronto-striatal circuits as well as impairments in large-scale networks, encompassing fronto-parietal-limbic areas, defined by functionally connected brain regions, reflecting spontaneous brain activity. Nevertheless, there is inconsistency in the reported results. For instance, while some studies point towards increased connectivity between such large-scale networks, others report decreased connectivity. Furthermore, most of these studies employed hypothesis-driven approaches, basing their assumptions on models derived from neurobiological (i.e., animal, lesion) studies and reports from positron emission tomography (PET) studies. Findings from data-driven approaches are scarce, and it is poorly understood whether the findings of the two approaches converge. To tackle these issues, we conducted two studies that represent the core of this thesis. First, to overcome inconsistencies and to find a consistent and pathologically relevant pattern of connectivity alterations in OCD, we performed a coordinate-based meta-analysis of 18 whole-brain resting-state functional magnetic resonance imaging (fMRI) studies comparing OCD patients and healthy controls (total sample of 541 patients, 572 healthy controls). The meta-analysis resulted in (1) consistent hypoconnectivity within frontoparietal and salience network, and between salience, frontoparietal and default-mode network, and (2) consistent general dysconnectivity (no specific direction of connectivity change) within default-mode and frontoparietal network, as well as between frontoparietal and default-mode, salience network, limbic network, but also with the striatum and thalamus. Second, we conducted a resting-state fMRI study in a sample of OCD patients and healthy controls and employed independent component and sliding time window analysis to in, Neuroimaging-Studien haben zu einer besseren Charakterisierung der Neuropsychopathologie der Zwangsstörung (OCD) geführt. Die Ergebnisse dieser Studien zeigen hauptsächlich Störungen in frontostriatalen Schleifen sowie Beeinträchtigungen in großen Netzwerken, die frontoparietal-limbische Areale umfassen, welche durch funktionell verbundene Hirnregionen definiert sind und die spontane Hirnaktivität widerspiegeln. Trotzdem gibt es Inkonsistenzen in den berichteten Ergebnissen. Während einige Studien auf eine erhöhte Konnektivität zwischen solch großen Netzwerken hinweisen, berichten andere von einer verringerten Konnektivität. Darüber hinaus verwendeten die meisten dieser Studien hypothesengetriebene Ansätze, wobei ihre Annahmen auf Modellen beruhten, die aus neurobiologischen (d.h. Tier-, Läsions-) Studien und Positronen-Emissions-Tomographie (PET) -Studien abgeleitet waren. Erkenntnisse aus datengetriebenen Ansätzen sind selten, und es ist unklar, ob die Ergebnisse der beiden Ansätze übereinstimmen. Um diese Probleme anzugehen, haben wir zwei Studien durchgeführt, die den Kern dieser Arbeit darstellen. Um Inkonsistenzen zu überwinden und ein konsistentes und pathologisch relevantes Muster von Konnektivitätsänderungen bei Zwangsstörungen zu finden, führten wir zunächst eine koordinatenbasierte Metaanalyse von 18 Untersuchungen zur funktionellen Magnetresonanztomographie (fMRI) unter Ruhebedingungen (d.h. ohne Aufgabe) durch, in denen Patienten mit Zwangsstörung und gesunde Kontrollen verglichen wurden (Gesamtstichprobe von 541 Patienten, 572 gesunde Kontrollen). Die Metaanalyse ergab (1) eine konsistente Hypokonnektivität innerhalb des Frontoparietalen- und Salienz-Netzwerks sowie zwischen dem Salienz-, dem Frontoparietalen- und dem Default-Mode-Netzwerk und (2) eine allgemein konsistente Dyskonnektivität (d.h. keine spezifische Richtung der Konnektivitätsänderung) innerhalb des Default-Mode- und des Frontoparietalen-Netzwerks, sowie zwischen Frontoparietalem- und De

Published
2019

17. Resting-state functional connectivity alterations in obsessive-compulsive disorder

Author

Koch, Kathrin (Prof. Dr.), Schwarzbach, Jens (Prof. Dr.);Ploner, Markus (Prof. Dr.), Gürsel, Deniz Asena, Koch, Kathrin (Prof. Dr.), Schwarzbach, Jens (Prof. Dr.);Ploner, Markus (Prof. Dr.), and Gürsel, Deniz Asena

Abstract

Neuroimaging studies have led to a better characterization of the neuropsychopathology of obsessive-compulsive disorder (OCD). These findings mainly demonstrate disturbances in fronto-striatal circuits as well as impairments in large-scale networks, encompassing fronto-parietal-limbic areas, defined by functionally connected brain regions, reflecting spontaneous brain activity. Nevertheless, there is inconsistency in the reported results. For instance, while some studies point towards increased connectivity between such large-scale networks, others report decreased connectivity. Furthermore, most of these studies employed hypothesis-driven approaches, basing their assumptions on models derived from neurobiological (i.e., animal, lesion) studies and reports from positron emission tomography (PET) studies. Findings from data-driven approaches are scarce, and it is poorly understood whether the findings of the two approaches converge. To tackle these issues, we conducted two studies that represent the core of this thesis. First, to overcome inconsistencies and to find a consistent and pathologically relevant pattern of connectivity alterations in OCD, we performed a coordinate-based meta-analysis of 18 whole-brain resting-state functional magnetic resonance imaging (fMRI) studies comparing OCD patients and healthy controls (total sample of 541 patients, 572 healthy controls). The meta-analysis resulted in (1) consistent hypoconnectivity within frontoparietal and salience network, and between salience, frontoparietal and default-mode network, and (2) consistent general dysconnectivity (no specific direction of connectivity change) within default-mode and frontoparietal network, as well as between frontoparietal and default-mode, salience network, limbic network, but also with the striatum and thalamus. Second, we conducted a resting-state fMRI study in a sample of OCD patients and healthy controls and employed independent component and sliding time window analysis to in, Neuroimaging-Studien haben zu einer besseren Charakterisierung der Neuropsychopathologie der Zwangsstörung (OCD) geführt. Die Ergebnisse dieser Studien zeigen hauptsächlich Störungen in frontostriatalen Schleifen sowie Beeinträchtigungen in großen Netzwerken, die frontoparietal-limbische Areale umfassen, welche durch funktionell verbundene Hirnregionen definiert sind und die spontane Hirnaktivität widerspiegeln. Trotzdem gibt es Inkonsistenzen in den berichteten Ergebnissen. Während einige Studien auf eine erhöhte Konnektivität zwischen solch großen Netzwerken hinweisen, berichten andere von einer verringerten Konnektivität. Darüber hinaus verwendeten die meisten dieser Studien hypothesengetriebene Ansätze, wobei ihre Annahmen auf Modellen beruhten, die aus neurobiologischen (d.h. Tier-, Läsions-) Studien und Positronen-Emissions-Tomographie (PET) -Studien abgeleitet waren. Erkenntnisse aus datengetriebenen Ansätzen sind selten, und es ist unklar, ob die Ergebnisse der beiden Ansätze übereinstimmen. Um diese Probleme anzugehen, haben wir zwei Studien durchgeführt, die den Kern dieser Arbeit darstellen. Um Inkonsistenzen zu überwinden und ein konsistentes und pathologisch relevantes Muster von Konnektivitätsänderungen bei Zwangsstörungen zu finden, führten wir zunächst eine koordinatenbasierte Metaanalyse von 18 Untersuchungen zur funktionellen Magnetresonanztomographie (fMRI) unter Ruhebedingungen (d.h. ohne Aufgabe) durch, in denen Patienten mit Zwangsstörung und gesunde Kontrollen verglichen wurden (Gesamtstichprobe von 541 Patienten, 572 gesunde Kontrollen). Die Metaanalyse ergab (1) eine konsistente Hypokonnektivität innerhalb des Frontoparietalen- und Salienz-Netzwerks sowie zwischen dem Salienz-, dem Frontoparietalen- und dem Default-Mode-Netzwerk und (2) eine allgemein konsistente Dyskonnektivität (d.h. keine spezifische Richtung der Konnektivitätsänderung) innerhalb des Default-Mode- und des Frontoparietalen-Netzwerks, sowie zwischen Frontoparietalem- und De

Published
2019

23. S230. Convergence of Specifically Altered Intrinsic Brain Connectivity and Aberrant Brain Volume in Schizophrenia Transdiagnostic Multimodal Meta-Analysis of Resting-State Functional and Structural MRI

Author

Brandl, Felix, primary, Avram, Mihai, additional, Shang, Jing, additional, Simoes, Beatriz, additional, Bertram, Teresa, additional, Ayala, Daniel Hoffmann, additional, Weise, Benedikt, additional, Penzel, Nora, additional, Gürsel, Deniz, additional, Bäuml, Josef, additional, Wohlschläger, Afra, additional, Vukadinovic, Zoran, additional, Koutsouleris, Nikolaos, additional, Leucht, Stefan, additional, and Sorg, Christian, additional

Published
2018
Full Text
View/download PDF

28. Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters

Author

Jonathan P. Shock, Erika L. Nurmi, Francesco Benedetti, Gianfranco Spalletta, Anthony C. James, Damiaan Denys, Jose C. Pariente, Ignacio Martínez-Zalacaín, Yanni Liu, Paulo Marques, Joseph O'Neill, Ganesan Venkatasubramanian, Benjamin A. Ely, Noam Soreni, Tobias U. Hauser, Michael C. Stevens, Masaru Kuno, Kate D. Fitzgerald, Je-Yeon Yun, Stephanie H. Ameis, John Piacentini, Yuki Sakai, Kang Ik K. Cho, Kathrin Koch, Luciano Minuzzi, Fabrizio Piras, Hao Hu, Chaim Huyser, Philip R. Szeszko, Gerd Kvale, Zhen Wang, Luke Taylor, Jean Paul Fouche, Marcelo Q. Hoexter, Francesca Assogna, Odile A. van den Heuvel, Rachel Marsh, Carles Soriano-Mas, Alan Anticevic, David Mataix-Cols, Eiji Shimizu, Fern Jaspers-Fayer, Rajat M. Thomas, Yoshinari Abe, Pedro Moreira, Norbert Kathmann, Astrid Morer, Rosa Calvo, Guido van Wingen, João Ricardo Sato, Egill A. Fridgeirsson, Chris Perriello, Janardhanan C. Narayanaswamy, Anushree Bose, Pedro Morgado, Oana G. Rus-Oswald, Akiko Nakagawa, Silvia Brem, Luisa Lazaro, Dan J. Stein, Paul D. Arnold, Yoshiyuki Hirano, Premika S.W. Boedhoe, Emily R. Stern, Irene Bollettini, Sara Dallaspezia, Lianne Schmaal, Federica Piras, Willem B Bruin, José M. Menchón, Jan K. Buitelaar, Christian Kaufmann, Christine Lochner, Yuqi Cheng, Brian P. Brennan, H. Blair Simpson, David F. Tolin, Daan van Rooij, Pino Alonso, Iliyan Ivanov, S. Evelyn Stewart, Paul M. Thompson, Takashi Nakamae, Deniz A. Gürsel, Paul Zhutovsky, Jan C. Beucke, Jamie D. Feusner, Patricia Gruner, Tomohiro Nakao, Y.C. Janardhan Reddy, Jun Soo Kwon, Graduate School, ANS - Compulsivity, Impulsivity & Attention, APH - Global Health, APH - Mental Health, Adult Psychiatry, Child Psychiatry, Bruin, Willem B., Taylor, Luke, Thomas, Rajat M., P Shock, Jonathan, Zhutovsky, Paul, Abe, Yoshinari, Alonso, Pino, Ameis, Stephanie H., Anticevic, Alan, Arnold, Paul D., Assogna, Francesca, Benedetti, Francesco, Beucke, Jan C., Boedhoe, Premika S. W., Bollettini, Irene, Bose, Anushree, Brem, Silvia, Brennan, Brian P., K Buitelaar, Jan, Calvo, Rosa, Cheng, Yuqi, Cho, Kang Ik K., Dallaspezia, Sara, Denys, Damiaan, Ely, Benjamin A., Feusner, Jamie D., Fitzgerald, Kate D., Fouche, Jean-Paul, Fridgeirsson, Egill A., Gruner, Patricia, Gürsel, Deniz A., Hauser, Tobias U., Hirano, Yoshiyuki, Hoexter, Marcelo Q., Hu, Hao, Huyser, Chaim, Ivanov, Iliyan, James, Anthony, Jaspers-Fayer, Fern, Kathmann, Norbert, Kaufmann, Christian, Koch, Kathrin, Kuno, Masaru, Kvale, Gerd, Soo Kwon, Jun, Liu, Yanni, Lochner, Christine, Lázaro, Luisa, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Menchón, José M., Minuzzi, Luciano, Moreira, Pedro S., Morer, Astrid, Morgado, Pedro, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Narayanaswamy, Janardhanan C., Nurmi, Erika L., O’Neill, Joseph, Pariente, Jose C., Perriello, Chri, Piacentini, John, Piras, Fabrizio, Piras, Federica, Janardhan Reddy, Y. C., Rus-Oswald, Oana G., Sakai, Yuki, Sato, João R., Schmaal, Lianne, Shimizu, Eiji, Blair Simpson, H., Soreni, Noam, Soriano-Mas, Carle, Spalletta, Gianfranco, Stern, Emily R., Stevens, Michael C., Evelyn Stewart, S., Szeszko, Philip R., Tolin, David F., Venkatasubramanian, Ganesan, Wang, Zhen, Yun, Je-Yeon, van Rooij, Daan, Consortium, ENIGMA-OCD, Thompson, Paul M., van den Heuvel, Odile A., Stein, Dan J., van Wingen, Guido A., Netherlands Institute for Neuroscience (NIN), ENIGMA-OCD Working Group, Anatomy and neurosciences, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, and Psychiatry

Subjects
Obsessive-Compulsive Disorder, Multivariate analysis, Disease, Neuroimaging biomarkers, 0302 clinical medicine, Obsessive-compulsive disorder, Medicine, Psychology, Prefrontal cortex, screening and diagnosis, medicine.diagnostic_test, Biochemical markers, Brain, Serious Mental Illness, Magnetic Resonance Imaging, 3. Good health, Psychiatry and Mental health, Detection, Mental Health, Marcadors bioquímics, Public Health and Health Services, Biomedical Imaging, Clinical psychology, medicine.drug, medicine.medical_specialty, Clinical Sciences, MEDLINE, Neuroimaging, Article, lcsh:RC321-571, Cellular and Molecular Neuroscience, 03 medical and health sciences, Obsessive compulsive, Clinical Research, Internal medicine, Medical imaging, Diagnostic biomarker, Humans, Clinical significance, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Fluoxetine, business.industry, Neurosi obsessiva, Neurosciences, Magnetic resonance imaging, Diagnostic markers, 030227 psychiatry, Brain Disorders, 4.1 Discovery and preclinical testing of markers and technologies, Obsessive compulsive disorder, ENIGMA-OCD Working Group, business, 030217 neurology & neurosurgery, Biomarkers, Neuroscience
Abstract

ObjectiveNo diagnostic biomarkers are available for obsessive-compulsive disorder (OCD). Magnetic resonance imaging (MRI) studies have provided evidence for structural abnormalities in distinct brain regions, but effect sizes are small and have limited clinical relevance. To investigate whether individual patients can be distinguished from healthy controls, we performed multivariate analysis of structural neuroimaging data from the ENIGMA-OCD consortium.MethodWe included 46 data sets with neuroimaging and clinical data from adult (≥18 years) and pediatric (1images from 2,304 OCD patients and 2,068 healthy controls were analyzed using standardized processing to extract regional measures of cortical thickness, surface area and subcortical volume. Machine learning classification performance was tested using cross-validation, and possible effects of clinical variables were investigated by stratification.ResultsClassification performance for OCD versus controls using the complete sample with different classifiers and cross-validation strategies was poor (AUC—0.57 (standard deviation (SD)=0.02;Pcorr=0.19) to 0.62 (SD=0.03;Pcorrcorr>.99) to 0.54 (SD=0.08;Pcorr>.99)). In contrast, good classification performance (>0.8 AUC) was achieved within subgroups of patients split according to their medication status.ConclusionsParcellated structural MRI data do not enable good distinction between patients with OCD and controls. However, classifying subgroups of patients based on medication status enables good identification at the individual subject level. This underlines the need for longitudinal studies on the short- and long-term effects of medication on brain structure.

Published
2020
Full Text
View/download PDF

29. Subcortical brain volume, regional cortical thickness, and cortical surface area across disorders:Findings from the ENIGMA ADHD, ASD, and OCD working groups

Author

Pedro Moreira, Ruth O'Gorman Tuura, Mara Cercignani, Philip Aherson, Maria Jalbrzikowski, Kate D. Fitzgerald, Declan G. Murphy, Bernd Kardatzki, Christine Ecker, David F. Tolin, Fern Jaspers-Fayer, Pedro Morgado, Juan Carlos Soliva Vila, Kang Ik K. Cho, Kathrin Koch, Timothy J. Silk, Philip R. Szeszko, Thomas Frodl, Mara Parellada, Shlomi Haar, Eileen Daly, Bob Oranje, Anouk Schrantee, Leyla Namazova-Baranova, Joseph A. King, Beatriz Luna, Silvia Brem, Eric Earl, Alasdair Vance, Michela Tosetti, Christine Deruelle, Ramona Baur-Streubel, Jackie Fitzgerald, Kirsten O'Hearn, Michael C. Stevens, Yoshiyuki Hirano, J. Antoni Ramos-Quiroga, Erika L. Nurmi, Kaylita Chantiluke, Joseph O'Neill, Kerstin Kohls, Olga Puig, Devon Shook, Clodagh M. Murphy, Gustavo Sudre, Marlene Behrmann, Jaap Oosterlaan, Tinatin Gogberashvili, Lianne Schmaal, Carles Soriano-Mas, Liesbeth Hoekstra, Ignacio Martínez-Zalacaín, Noam Soreni, Marcel P. Zwiers, Paulo Mattos, Gregor Kohls, Andreas J. Fallgatter, Tiffany M. Chaim-Avancini, Alexander Baranov, S. Evelyn Stewart, Sara Dallaspezia, Gianfranco Spalletta, Jonna Kuntsi, Lizanne J. S. Schweren, Joel T. Nigg, Leanne Tamm, Premika S.W. Boedhoe, Adriana Di Martino, Jane McGrath, Marcelo C. Batistuzzo, Norbert Skokauskas, Filippo Muratori, John Piacentini, Jean-Paul Fouche, Sarah Baumeister, Alan Anticevic, Neil A. Harrison, Christine M. Freitag, Pedro G.P. Rosa, Stephen V. Faraone, Ana Cubillo, David Mataix-Cols, Yuki Sakai, Stefan Ehrlich, Eileen Oberwelland Weiss, Fabrizio Piras, Dirk J. Heslenfeld, Je-Yeon Yun, Paul Pauli, Catharina A. Hartman, Ganesan Venkatasubramanian, Janardhanan C. Narayanaswamy, Charles B Malpas, Jan C. Beucke, José M. Menchón, Egill A. Fridgeirsson, Margot J. Taylor, Mauricio Moller Martinho, H. Blair Simpson, Jan K. Buitelaar, Gerd Kvale, Ivanei E. Bramati, Aki Tsuchiyagaito, Susanne Walitza, Irene Bollettini, Jeffery N. Epstein, Anders M. Dale, Thomas Ethofer, Terry L. Jernigan, David Coghill, Rachel Marsh, Andreas Reif, Astri J. Lundervold, Pieter J. Hoekstra, Oana Georgiana Rus, Damiaan Denys, Gregory L. Wallace, Matt C. Gabel, Hazel McCarthy, Sarah Hohmann, Rosa Nicolau, Stephanie H. Ameis, Neda Jahanshad, Takashi Nakamae, Xin Feng, Emily R. Stern, Georg G. von Polier, Yanni Liu, Paulo Marques, Anushree Bose, Hao Hu, Sara Lera-Miguel, Deniz A. Gürsel, Jochen Seitz, Jos W. R. Twisk, Mario Rodrigues Louzã, Clare Kelly, Annette Conzelmann, Alysa E. Doyle, Odile A. van den Heuvel, Anthony A. James, Chris Perriello, Joost Janssen, Damien A. Fair, Norbert Kathmann, Francisco X. Castellanos, Paul D. Arnold, Oscar Vilarroya, Geraldo F. Busatto, Federica Piras, Pino Alonso, Akiko Nakagawa, Sarah Durston, Lena Schwarz, Mitul A. Mehta, Dan J. Stein, Celso Arango, Daan van Rooij, Ilan Dinstein, Anastasia Christakou, Klaus-Peter Lesch, Kerstin J. Plessen, Jennifer Fedor, Yolanda Vives-Gilabert, Ilaria Gori, Louise Gallagher, Brian P. Brennan, Yuqi Cheng, Barbara Franke, Sabin Khadka, Stephanie E. Novotny, Martine Hoogman, Georgii Karkashadze, Georg C. Ziegler, Yuliya N. Yoncheva, Rosa Calvo, Thomas Wolfers, Marcelo Q. Hoexter, Benjamin A. Ely, Masaru Kuno, Alessandra Retico, Yoshinari Abe, Geoffrey B. Hall, Tobias Banaschewski, Anatoly Anikin, Christine Lochner, Astrid Morer, Guido van Wingen, Jan Haavik, Joseph Biederman, Luisa Lázaro, Francesco Benedetti, Fengfeng Zhou, Guillaume Auzias, Daniel Brandeis, Dmitry Kapilushniy, Katya Rubia, Philip Shaw, Christian Kaufmann, Sara Calderoni, Marcus V. Zanetti, Anastasia Solovieva, Zhen Wang, Francesca Assogna, Jamie D. Feusner, Chaim Huyser, Fernanda Tovar-Moll, Theo G.M. van Erp, Y.C. Janardhan Reddy, Jun Soo Kwon, Yannis Paloyelis, Anna Calvo, Patricia Gruner, Kathrin C. Zierhut, Liesbeth Reneman, Tomohiro Nakao, Janita Bralten, Marie F. Høvik, Mark A. Bellgrove, Maarten Mennes, Paul M. Thompson, Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Epidemiology and Data Science, Pediatric surgery, Radiology and nuclear medicine, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Psychiatry, APH - Methodology, APH - Health Behaviors & Chronic Diseases, Boedhoe, Premika S W, van Rooij, Daan, Hoogman, Martine, Twisk, Jos W R, 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, Tobia, 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, Thoma, 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, Thoma, 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, Kardatzki, Bernd, Karkashadze, Georgii, Kathmann, Norbert, Kaufmann, Christian, Kelly, Clare, Khadka, Sabin, King, Joseph A, Koch, Kathrin, Kohls, Gregor, Konrad, Kerstin, Kuno, Masaru, Kuntsi, Jonna, Kvale, Gerd, Kwon, Jun Soo, Lázaro, Luisa, Lera-Miguel, Sara, Lesch, Klaus-Peter, Hoekstra, Liesbeth, Liu, Yanni, Lochner, Christine, Louza, Mario R, Luna, Beatriz, Lundervold, Astri J, Malpas, Charles B, Marques, Paulo, Marsh, Rachel, Martínez-Zalacaín, Ignacio, Mataix-Cols, David, Mattos, Paulo, Mccarthy, Hazel, Mcgrath, Jane, Mehta, Mitul A, Menchón, José M, Mennes, Maarten, Martinho, Mauricio Moller, Moreira, Pedro S, Morer, Astrid, Morgado, Pedro, Muratori, Filippo, Murphy, Clodagh M, Murphy, Declan G M, Nakagawa, Akiko, Nakamae, Takashi, Nakao, Tomohiro, Namazova-Baranova, Leyla, Narayanaswamy, Janardhanan C, Nicolau, Rosa, Nigg, Joel T, Novotny, Stephanie E, Nurmi, Erika L, Weiss, Eileen Oberwelland, O'Gorman Tuura, Ruth L, O'Hearn, Kirsten, O'Neill, Joseph, Oosterlaan, Jaap, Oranje, Bob, Paloyelis, Yanni, Parellada, Mara, Pauli, Paul, Perriello, Chri, Piacentini, John, Piras, Fabrizio, Piras, Federica, Plessen, Kerstin J, Puig, Olga, Ramos-Quiroga, J Antoni, Reddy, Y C Janardhan, Reif, Andrea, Reneman, Liesbeth, Retico, Alessandra, Rosa, Pedro G P, Rubia, Katya, Rus, Oana Georgiana, Sakai, Yuki, Schrantee, Anouk, Schwarz, Lena, Schweren, Lizanne J S, Seitz, Jochen, Shaw, Philip, Shook, Devon, Silk, Tim J, Simpson, H Blair, Skokauskas, Norbert, Soliva Vila, Juan Carlo, Solovieva, Anastasia, Soreni, Noam, Soriano-Mas, Carle, Spalletta, Gianfranco, Stern, Emily R, Stevens, Michael C, Stewart, S Evelyn, Sudre, Gustavo, Szeszko, Philip R, Tamm, Leanne, Taylor, Margot J, Tolin, David F, Tosetti, Michela, Tovar-Moll, Fernanda, Tsuchiyagaito, Aki, van Erp, Theo G M, van Wingen, Guido A, Vance, Alasdair, Venkatasubramanian, Ganesan, Vilarroya, Oscar, Vives-Gilabert, Yolanda, von Polier, Georg G, Walitza, Susanne, Wallace, Gregory L, Wang, Zhen, Wolfers, Thoma, Yoncheva, Yuliya N, Yun, Je-Yeon, Zanetti, Marcus V, Zhou, Fengfeng, Ziegler, Georg C, Zierhut, Kathrin C, Zwiers, Marcel P, Thompson, Paul M, Stein, Dan J, Buitelaar, Jan, Franke, Barbara, van den Heuvel, Odile A, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, Graduate School, Child Psychiatry, General Paediatrics, ARD - Amsterdam Reproduction and Development, Radiology and Nuclear Medicine, APH - Personalized Medicine, and APH - Mental Health

Subjects
Male, Research Report, Obsessive-Compulsive Disorder, Frontal cortex, Systems Analysis, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder, [SDV]Life Sciences [q-bio], Hippocampal formation, Audiology, 0302 clinical medicine, 130 000 Cognitive Neurology & Memory, Child, Obsessive-compulsive disorder (OCD), ComputingMilieux_MISCELLANEOUS, Intelligence quotient, Psychopathology, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, ABNORMALITIES, ENIGMA, Organ Size, 3. Good health, Psychiatry and Mental health, Autism spectrum disorder, Brain size, Cohort, Female, MRI, Adult, medicine.medical_specialty, CORTEX, Adolescent, DEFICIT HYPERACTIVITY DISORDER, Human Development, Neuroimaging, behavioral disciplines and activities, Article, 03 medical and health sciences, FIELD-STRENGTH, mental disorders, medicine, MEGA-ANALYSIS, Attention deficit hyperactivity disorder, Humans, Cortical surface, Structural MRI, Attention Deficit Disorder with Hyperactivity, Cerebrum, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, medicine.disease, 030227 psychiatry, VOXEL, Autism, business, 030217 neurology & neurosurgery
Abstract

ObjectiveAttention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. We aimed to directly compare all three disorders. The ENIGMA consortium is ideally positioned to investigate structural brain alterations across these disorders.MethodsStructural T1-weighted whole-brain MRI of controls (n=5,827) and 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. We examined subcortical volume, cortical thickness and 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 ICV for subcortical and surface area measures).ResultsWe found no shared alterations among all three disorders, while shared alterations between any two disorders did not survive multiple comparisons correction. Children with ADHD compared to those with OCD had smaller hippocampal volumes, possibly influenced by IQ. Children and adolescents with ADHD also had smaller ICV than controls and those with OCD or ASD. Adults with ASD showed thicker frontal cortices compared to adult controls and other clinical groups. No OCD-specific alterations across different age-groups and surface area alterations among all disorders in childhood and adulthood were observed.ConclusionOur findings suggest robust but subtle alterations across different age-groups among ADHD, ASD, and OCD. ADHD-specific ICV and hippocampal alterations in children and adolescents, and ASD-specific cortical thickness alterations in the frontal cortex in adults support previous work emphasizing neurodevelopmental alterations in these disorders.

Published
2020
Full Text
View/download PDF

30. White matter microstructure and its relation to clinical features of obsessive-compulsive disorder: findings from the ENIGMA OCD Working Group.

Author

Piras F, Piras F, Abe Y, Agarwal SM, Anticevic A, Ameis S, Arnold P, Banaj N, Bargalló N, Batistuzzo MC, Benedetti F, Beucke JC, Boedhoe PSW, Bollettini I, Brem S, Calvo A, Cho KIK, Ciullo V, Dallaspezia S, Dickie E, Ely BA, Fan S, Fouche JP, Gruner P, Gürsel DA, Hauser T, Hirano Y, Hoexter MQ, Iorio M, James A, Reddy YCJ, Kaufmann C, Koch K, Kochunov P, Kwon JS, Lazaro L, Lochner C, Marsh R, Nakagawa A, Nakamae T, Narayanaswamy JC, Sakai Y, Shimizu E, Simon D, Simpson HB, Soreni N, Stämpfli P, Stern ER, Szeszko P, Takahashi J, Venkatasubramanian G, Wang Z, Yun JY, Stein DJ, Jahanshad N, Thompson PM, van den Heuvel OA, and Spalletta G

Subjects
Adult, Anisotropy, Brain diagnostic imaging, Child, Cross-Sectional Studies, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Humans, Obsessive-Compulsive Disorder diagnostic imaging, White Matter diagnostic imaging
Abstract

Microstructural alterations in cortico-subcortical connections are thought to be present in obsessive-compulsive disorder (OCD). However, prior studies have yielded inconsistent findings, perhaps because small sample sizes provided insufficient power to detect subtle abnormalities. Here we investigated microstructural white matter alterations and their relation to clinical features in the largest dataset of adult and pediatric OCD to date. We analyzed diffusion tensor imaging metrics from 700 adult patients and 645 adult controls, as well as 174 pediatric patients and 144 pediatric controls across 19 sites participating in the ENIGMA OCD Working Group, in a cross-sectional case-control magnetic resonance study. We extracted measures of fractional anisotropy (FA) as main outcome, and mean diffusivity, radial diffusivity, and axial diffusivity as secondary outcomes for 25 white matter regions. We meta-analyzed patient-control group differences (Cohen's d) across sites, after adjusting for age and sex, and investigated associations with clinical characteristics. Adult OCD patients showed significant FA reduction in the sagittal stratum (d = -0.21, z = -3.21, p = 0.001) and posterior thalamic radiation (d = -0.26, z = -4.57, p < 0.0001). In the sagittal stratum, lower FA was associated with a younger age of onset (z = 2.71, p = 0.006), longer duration of illness (z = -2.086, p = 0.036), and a higher percentage of medicated patients in the cohorts studied (z = -1.98, p = 0.047). No significant association with symptom severity was found. Pediatric OCD patients did not show any detectable microstructural abnormalities compared to controls. Our findings of microstructural alterations in projection and association fibers to posterior brain regions in OCD are consistent with models emphasizing deficits in connectivity as an important feature of this disorder.

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results