{"id":"W3030237281","doi":"10.1016/j.neuroimage.2020.116956","title":"Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":274,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Cilag; Singapore Bioimaging Consortium; European Social Fund; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism; National Center for Advancing Translational Sciences; Seventh Framework Programme; Medizinische Fakultät, Westfälische Wilhelms-Universität Münster; National Health and Medical Research Council; Maryland Population Research Center, University of Maryland; University Research Committee, Emory University; Horizon 2020 Framework Programme; Allergan; National Institutes of Health; Australian Schizophrenia Research Bank; Ramsay Health Care; Mitsubishi Tanabe Pharma Corporation; Medical Research Council; Servier; National Healthcare Group; Beijing Municipal Administration of Hospitals; Beijing Municipal Science and Technology Commission; University of Cape Town; Department of Science and Technology, Republic of South Africa; Natural Science Foundation of Beijing Municipality; Instituto de Salud Carlos III; National Natural Science Foundation of China; National Research Foundation of Korea; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support; Ministry of Science, ICT and Future Planning; Astellas Foundation for Research on Metabolic Disorders; Dainippon Sumitomo Pharma; Gedeon Richter; Centre of Excellence in Cognition and its Disorders, Australian Research Council; Ministero della Salute; Macquarie University; Generalitat de Catalunya; Northwestern Polytechnical University; Bundesministerium für Bildung und Forschung; Russian Foundation for Basic Research; NSW Ministry of Health; New Partnership for Africa's Development; Astellas Pharma; European Regional Development Fund; Deutsches Zentrum für Luft- und Raumfahrt; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Pennsylvania; Sylvia and Charles Viertel Charitable Foundation; National Research Foundation; McGill University; Brain and Behavior Research Foundation; Office of Health and Medical Research; Genentech; European Commission; South African Medical Research Council; National Institute on Drug Abuse; State of Maryland; Ministerio de Ciencia, Innovación y Universidades; Pratt Foundation; Deutsche Forschungsgemeinschaft; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Schizophrenia Research Fund; Fundación Mutua Madrileña; Centro de Investigación Biomédica en Red de Salud Mental; ZonMw; National Center for Research Resources; National Institute of General Medical Sciences; National Alliance for Research on Schizophrenia and Depression; Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg; Universität Basel; Ministerio de Sanidad, Consumo y Bienestar Social; H. Lundbeck A/S; Fundación Alicia Koplowitz; Johns Hopkins University; Biogen; National Science Foundation","keywords":"Statistical power; Neuroimaging; Meta-analysis; Sample size determination; Random effects model; Schizophrenia (object-oriented programming); Harmonization; Statistical analysis; Computer science; Statistics; Medicine; Psychology; Neuroscience; Pathology; Mathematics; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.109582,0.003486208,0.00510119,0.003673811,0.001569878,0.004726617,0.005226984,0.00316042,0.03502252],"category_scores_gemma":[0.2964258,0.002433531,0.01569769,0.006933485,0.002271738,0.004599735,0.005040964,0.004174676,0.004437166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028966,"about_ca_system_score_gemma":0.004349583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004531143,"about_ca_topic_score_gemma":0.005315492,"domain_scores_codex":[0.889624,0.08706522,0.0059491,0.0120376,0.003885315,0.001438785],"domain_scores_gemma":[0.8615823,0.1075303,0.00556725,0.02084327,0.003632889,0.0008441166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01391669,0.0006127241,0.1053835,0.02384804,0.1771812,0.002030845,0.004179996,0.02622177,0.01248606,0.04233861,0.1554117,0.4363887],"study_design_scores_gemma":[0.01993159,0.004828977,0.1264662,0.005028403,0.1223754,0.002324512,0.001443176,0.1787005,0.02088399,0.1762108,0.3403977,0.001408756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03566078,0.008087201,0.9008179,0.007017312,0.003813469,0.003966118,0.01407373,0.02066475,0.005898761],"genre_scores_gemma":[0.2956041,0.0009840676,0.6587846,0.004536075,0.0008231881,0.01731242,0.006016609,0.01117102,0.004767991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.109582,"threshold_uncertainty_score":0.5795321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04914044444275351,"score_gpt":0.2646571731425079,"score_spread":0.2155167286997544,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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