An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group
Year: 2019
Type: article
Abstract: Objective: Brain imaging communities focusing on different diseases increasingly start collaborating and pooling data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, but also with a linear mixed–effects random-intercept mega-analysis model, using data from 38 cohorts including 3665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the best approach to investigate structural neuroimaging data.
Source: Frontiers in Neuroinformatics
Authors: Premika S. W. Boedhoe, Martijn W. Heymans, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Alan Anticevic, Paul D. Arnold, Marcelo C. Batistuzzo, Francesco Benedetti, Jan C. Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo, Yuqi Cheng, Kang Ik K. Cho, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Jamie D. Feusner, Kate D. Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, Patricia Gruner, Gregory L. Hanna, Derrek P. Hibar, Marcelo Q. Hoexter, Hao Hu, Chaim Huyser, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Jun Soo Kwon, Luisa Lazaro, Christine Lochner, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M. Menchón, Luciano Minuzzi, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Seiji Nishida, Erika L. Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras, Federica Piras, Y. C. Janardhan Reddy, Tim J. Reess, Yuki Sakai, Joao R. Sato, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Michael C. Stevens, Philip R. Szeszko, David F. Tolin, Guido A. van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Je-Yeon Yun, ENIGMA-OCD Working-Group, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Jos W. R. Twisk
Institutions: Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health, The University of Melbourne, Orygen, Kyoto Prefectural University of Medicine, Bellvitge University Hospital, Institut d'Investigació Biomédica de Bellvitge, Centro de Investigación Biomédica en Red de Salud Mental, Universitat de Barcelona, Centre for Addiction and Mental Health, University of Toronto, Hospital for Sick Children, Margaret and Wallace McCain Centre for Child, Youth, and Family Mental Health, Campbell Family Mental Health Research Institute, Yale University, University of Calgary, Hotchkiss Brain Institute, Mathison Centre for Mental Health Research and Education, Universidade de São Paulo, IRCCS Ospedale San Raffaele, Humboldt-Universität zu Berlin, National Institute of Mental Health and Neurosciences, University of Zurich, Psychiatrische Universitätsklinik Zürich, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Hospital Clínic de Barcelona, First Affiliated Hospital of Kunming Medical University, Seoul National University, Fondazione Santa Lucia, University of Florence, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, University of Amsterdam, University of California, Los Angeles, University of Michigan, University of Cape Town, University of Southern California, Shanghai Jiao Tong University, Shanghai Mental Health Center, De Bascule, University of Oxford, TUM Klinikum, Technical University of Munich, Stellenbosch University, New York State Psychiatric Institute, Columbia University, Karolinska Institutet, St. Joseph’s Healthcare Hamilton, Kyushu University, Advanced Telecommunications Research Institute International, Universidade Federal do ABC, Universitat Autònoma de Barcelona, Baylor College of Medicine, James J. Peters VA Medical Center, Icahn School of Medicine at Mount Sinai, Hartford Hospital, Shanghai Key Laboratory of Psychotic Disorders
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,950
Funders: National Science Foundation, International OCD Foundation, National Alliance for Research on Schizophrenia and Depression, Wellcome Trust, Department of Biotechnology, Ministry of Science and Technology, India, Department of Science and Technology, Ministry of Science and Technology, India, Deutsche Forschungsgemeinschaft, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, ZonMw, Ministero della Salute, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, The Wellcome Trust DBT India Alliance, H. Lundbeck A/S, National Institutes of Health, Japan Society for the Promotion of Science, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, European Regional Development Fund, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences, Clinical and Translational Science Institute, University of California, Los Angeles
Awards: G1075404386, G1251285548, G1598819102, G1692715408, G1888090074, G2388499482, G2417771102, Conectividad cortico-límbica en pacientes con alteración de la regulación emocional: factores moduladores y desarrollo de terapias personalizadas basadas en la neuroimagen funcional, G2612929332, G2718725496, G2721228589, Predictores ómicos de la respuesta a inhibidores selectivos de recaptación de serotonina en el Trastorno Obsesivo-Compulsivo, Neuroimaging of cognitive flexibility and action monitoring in paediatric obsessive-compulsive disorder (OCD) and attention deficit-hyperactivity disorder (ADHD), G29319320, G2955683302, G3105364495, G3138944228, G3190811091, G3559709381, G382446717, G3934624715, G3954206928, G3976486384, G4124402759, Identificación de predictores individuales de respuesta a la Estimulación Cerebral Profunda en el Trastorno Obsesivo-Compulsivo mediante variables neuropsicológicas y de neuroimagen, G445211749, G4811367583, Structural & functional connectivity of hippocampus in Schizophrenia: evaluation of neuroimmunological & neurotrophic factors interactions using diffusion tensor imaging & functional magnetic resonance imaging studies., Understanding the dynamics of visual processing abnormalities in body dysmorphic disorder, G5091998649, Examination of the neurobiological bases of different symptom dimensions in obsessive-compulsive disorder., Dissecting Causal Reasoning Abnormalities in Obsessive-Compulsive Disorder (OCD), G5289632309, G5554424168, G5570099221, Anxiety and reward interaction and prediction of outcomes in anorexia nervosa, G5613713720, Development of a short-term treatment program for obsessive-compulsive disorder using virtual reality, El modelo de incertidumbre-anticipación: uso de la neuroimagen funcional para predecir la trayectoria de los síntomas de ansiedad y caracterizar las alteraciones cerebrales relacionadas, ENIGMA Center for Worldwide Medicine, Imaging & Genomics, G6481951387, G6509413167, G7044705540, G784673269, Neuroimaging research and transcranial magnetic stimulation for obsessive-compulsive disorder, G7934129726, G807396979, G840769541, G8418255654, A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA Consortium, G880118091, Yale Clinical and Translational Science Award
OpenAlex ID: W2904886331