抄録
Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive–compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.
本文言語 | 英語 |
---|---|
ページ(範囲) | 23-36 |
ページ数 | 14 |
ジャーナル | Human Brain Mapping |
巻 | 43 |
号 | 1 |
DOI | |
出版ステータス | 出版済み - 1月 2022 |
!!!All Science Journal Classification (ASJC) codes
- 解剖学
- 放射線技術および超音波技術
- 放射線学、核医学およびイメージング
- 神経学
- 臨床神経学
フィンガープリント
「An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group: The power of worldwide collaboration」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
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In: Human Brain Mapping, Vol. 43, No. 1, 01.2022, p. 23-36.
研究成果: ジャーナルへの寄稿 › 総説 › 査読
}
TY - JOUR
T1 - An overview of the first 5 years of the ENIGMA obsessive–compulsive disorder working group
T2 - The power of worldwide collaboration
AU - ENIGMA OCD Working Group
AU - van den Heuvel, Odile A.
AU - Boedhoe, Premika S.W.
AU - Bertolin, Sara
AU - Bruin, Willem B.
AU - Francks, Clyde
AU - Ivanov, Iliyan
AU - Jahanshad, Neda
AU - Kong, Xiang Zhen
AU - Kwon, Jun Soo
AU - O'Neill, Joseph
AU - Paus, Tomas
AU - Patel, Yash
AU - Piras, Fabrizio
AU - Schmaal, Lianne
AU - Soriano-Mas, Carles
AU - Spalletta, Gianfranco
AU - van Wingen, Guido A.
AU - Yun, Je Yeon
AU - Vriend, Chris
AU - Simpson, H. Blair
AU - van Rooij, Daan
AU - Hoexter, Marcelo Q.
AU - Hoogman, Martine
AU - Buitelaar, Jan K.
AU - Arnold, Paul
AU - Beucke, Jan C.
AU - Benedetti, Francesco
AU - Bollettini, Irene
AU - Bose, Anushree
AU - Brennan, Brian P.
AU - De Nadai, Alessandro S.
AU - Fitzgerald, Kate
AU - Gruner, Patricia
AU - Grünblatt, Edna
AU - Hirano, Yoshiyuki
AU - Huyser, Chaim
AU - James, Anthony
AU - Koch, Kathrin
AU - Kvale, Gerd
AU - Lazaro, Luisa
AU - Lochner, Christine
AU - Marsh, Rachel
AU - Mataix-Cols, David
AU - Morgado, Pedro
AU - Nakamae, Takashi
AU - Nakao, Tomohiro
AU - Narayanaswamy, Janardhanan C.
AU - Nurmi, Erika
AU - Pittenger, Christopher
AU - Reddy, Y. C.Janardhan
N1 - Funding Information: National Institute of Health, Grant/Award Number: U54 EB020403; Japanese Ministry of Education, Culture, Sports, Science, and Technology, Grant/Award Number: 18K07608; Shanghai Municipal Health Commission, Grant/Award Number: 2019ZB0201; National Natural Science Foundation of China, Grant/Award Number: 81671340; Swiss National Science Foundation, Grant/Award Number: 320030_130237; Wellcome‐DBT India Alliance, Grant/Award Number: 500236/Z/11/Z; Michael Smith Foundation for Health Research; Canadian Institutes of Health Research; Ontario Brain Institute, Grant/Award Number: BT/06/IYBA/2012; Department of Biotechnology; DST, Grant/Award Number: IFA12‐LSBM‐26; Marató TV3 Foundation, Grant/Award Numbers: 091710, 01/2010; Deutsche Forschungsgemeinschaft, Grant/Award Number: KO 3744/7‐1; Japan Society for the Promotion of Science, Grant/Award Numbers: 19K03309, 16K04344; Japan Agency for Medical Research and Development, Grant/Award Number: JP19dm0307002; Seventh Framework Programme, Grant/Award Numbers: 278948, FP7/2007‐2013; National Research Foundation of Korea, Grant/Award Number: NRF‐2017R1D1A1B03028464; Ministry of Health, Grant/Award Number: RC13‐14‐15‐16‐17‐18‐19A; Carlos III Health Institute, Grant/Award Numbers: CPII16/00048, PI16/00889; NHMRC Career Development Fellowship, Grant/Award Number: 1140764; National Institute of Mental Health, Grant/Award Numbers: R01MH081864, R01MH085900, K23 MH082176, R21 MH093889, R01 MH104648, R01MH117601; NIH, Grant/Award Numbers: K23 MH115206, R01AG059874, R01MH117601; Max Planck Society; Netherlands Organization for Scientific Research, Grant/Award Numbers: 91619115, NWO/ZonMW Vidi 016.156.318, NWO/ZonMW Vidi 91717306 Funding information Funding Information: O.A.vdH. is supported by The Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 91717306); C.F. is supported by funding from the Max Planck Society (Germany); N.J. is supported by NIH R01MH117601 and R01AG059874; J.O. is supported by National Institute of Mental Health R01MH085900 and R01MH081864; L.S. is supported by the National Institute of Mental Health of the National Institutes of Health (R01MH117601) and a NHMRC Career Development Fellowship (1140764); C.S.M. is supported by Carlos III Health Institute (PI16/00889; CPII16/00048); G.A.vW. is supported by Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 016.156.318); GS/FP is supported by the Italian Ministry of Health (RC13-14-15-16-17-18-19A); J.Y.Y. is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03028464); H.B.S. is supported by National Institute of Mental Health R01 MH104648 and R21 MH093889; M.H. is supported by a personal Veni grant of The Netherlands Organization for Scientific Research (NWO, grant number 91619115); J.K.B. is supported by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement number 278948 (TACTICS); P.A. is supported by Alberta Innovates Translational Health Chair in Child and Youth Mental Health and the Ontario Brain Institute; K.F. is supported by National Institute of Mental Health K23 MH082176 and Dana Foundation; P.G. is supported by NIH K23 MH115206; Y.H. is supported by Brain/MINDS Beyond program from the Japan Agency for Medical Research and Development (AMED) (JP19dm0307002) and Japan Society for the Promotion of Science (JSPS) KAKENHI (16K04344 and 19K03309); K.K. is supported by a Deutsche Forschungsgemeinschaft (DFG) grant (KO 3744/7-1); L.L. is supported by the Marató TV3 Foundation grants (01/2010 and 091710); J.Y.C.R. is supported by DST INSPIRE faculty grant (IFA12-LSBM-26) of the Department of Science and Technology and BT/06/IYBA/2012 of the Department of Biotechnology, Government of India; E.N. is supported by National Institute of Mental Health R01MH085900 and R01MH081864; J.C.N. is supported by DST INSPIRE faculty grant (IFA12-LSBM-26) of the Department of Science and Technology and BT/06/IYBA/2012 of the Department of Biotechnology, Goverment of India; N.S. is supported by the Ontario Brain Institute; S.E.S. is supported by Canadian Institutes of Health Research, Michael Smith Foundation for Health Research, BC Children's Hospital Foundation; G.V. is supported by Wellcome-DBT India Alliance grant (500236/Z/11/Z); S.W. is supported by Swiss National Science Foundation grant (320030_130237); Z.W. is supported by National Natural Science Foundation of China (No. 81671340) and grants from Shanghai Municipal Health Commission (2019ZB0201); P.M.T. is supported by NIH U54 EB020403; T.N. is supported by the Japanese Ministry of Education, Culture, Sports, Science, and Technology (MEXT KAKENHI No. 18K07608). Funding Information: O.A.vdH. is supported by The Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 91717306); C.F. is supported by funding from the Max Planck Society (Germany); N.J. is supported by NIH R01MH117601 and R01AG059874; J.O. is supported by National Institute of Mental Health R01MH085900 and R01MH081864; L.S. is supported by the National Institute of Mental Health of the National Institutes of Health (R01MH117601) and a NHMRC Career Development Fellowship (1140764); C.S.M. is supported by Carlos III Health Institute (PI16/00889; CPII16/00048); G.A.vW. is supported by Netherlands Organization for Scientific Research (NWO/ZonMW Vidi 016.156.318); GS/FP is supported by the Italian Ministry of Health (RC13‐14‐15‐16‐17‐18‐19A); J.Y.Y. is supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF‐2017R1D1A1B03028464); H.B.S. is supported by National Institute of Mental Health R01 MH104648 and R21 MH093889; M.H. is supported by a personal Veni grant of The Netherlands Organization for Scientific Research (NWO, grant number 91619115); J.K.B. is supported by the European Community's Seventh Framework Programme (FP7/2007‐2013) under grant agreement number 278948 (TACTICS); P.A. is supported by Alberta Innovates Translational Health Chair in Child and Youth Mental Health and the Ontario Brain Institute; K.F. is supported by National Institute of Mental Health K23 MH082176 and Dana Foundation; P.G. is supported by NIH K23 MH115206; Y.H. is supported by Brain/MINDS Beyond program from the Japan Agency for Medical Research and Development (AMED) (JP19dm0307002) and Japan Society for the Promotion of Science (JSPS) KAKENHI (16K04344 and 19K03309); K.K. is supported by a Deutsche Forschungsgemeinschaft (DFG) grant (KO 3744/7‐1); L.L. is supported by the Marató TV3 Foundation grants (01/2010 and 091710); J.Y.C.R. is supported by DST INSPIRE faculty grant (IFA12‐LSBM‐26) of the Department of Science and Technology and BT/06/IYBA/2012 of the Department of Biotechnology, Government of India; E.N. is supported by National Institute of Mental Health R01MH085900 and R01MH081864; J.C.N. is supported by DST INSPIRE faculty grant (IFA12‐LSBM‐26) of the Department of Science and Technology and BT/06/IYBA/2012 of the Department of Biotechnology, Goverment of India; N.S. is supported by the Ontario Brain Institute; S.E.S. is supported by Canadian Institutes of Health Research, Michael Smith Foundation for Health Research, BC Children's Hospital Foundation; G.V. is supported by Wellcome‐DBT India Alliance grant (500236/Z/11/Z); S.W. is supported by Swiss National Science Foundation grant (320030_130237); Z.W. is supported by National Natural Science Foundation of China (No. 81671340) and grants from Shanghai Municipal Health Commission (2019ZB0201); P.M.T. is supported by NIH U54 EB020403; T.N. is supported by the Japanese Ministry of Education, Culture, Sports, Science, and Technology (MEXT KAKENHI No. 18K07608). Publisher Copyright: © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
PY - 2022/1
Y1 - 2022/1
N2 - Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive–compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.
AB - Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive–compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.
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U2 - 10.1002/hbm.24972
DO - 10.1002/hbm.24972
M3 - Review article
C2 - 32154629
AN - SCOPUS:85085073912
SN - 1065-9471
VL - 43
SP - 23
EP - 36
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
ER -