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


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.

SUBMITTER: Bruin WB 

PROVIDER: S-EPMC7598942 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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

Bruin Willem B WB   Taylor Luke L   Thomas Rajat M RM   Shock Jonathan P JP   Zhutovsky Paul P   Abe Yoshinari Y   Alonso Pino P   Ameis Stephanie H SH   Anticevic Alan A   Arnold Paul D PD   Assogna Francesca F   Benedetti Francesco F   Beucke Jan C JC   Boedhoe Premika S W PSW   Bollettini Irene I   Bose Anushree A   Brem Silvia S   Brennan Brian P BP   Buitelaar Jan K JK   Calvo Rosa R   Cheng Yuqi Y   Cho Kang Ik K KIK   Dallaspezia Sara S   Denys Damiaan D   Ely Benjamin A BA   Feusner Jamie D JD   Fitzgerald Kate D KD   Fouche Jean-Paul JP   Fridgeirsson Egill A EA   Gruner Patricia P   Gürsel Deniz A DA   Hauser Tobias U TU   Hirano Yoshiyuki Y   Hoexter Marcelo Q MQ   Hu Hao H   Huyser Chaim C   Ivanov Iliyan I   James Anthony A   Jaspers-Fayer Fern F   Kathmann Norbert N   Kaufmann Christian C   Koch Kathrin K   Kuno Masaru M   Kvale Gerd G   Kwon Jun Soo JS   Liu Yanni Y   Lochner Christine C   Lázaro Luisa L   Marques Paulo P   Marsh Rachel R   Martínez-Zalacaín Ignacio I   Mataix-Cols David D   Menchón José M JM   Minuzzi Luciano L   Moreira Pedro S PS   Morer Astrid A   Morgado Pedro P   Nakagawa Akiko A   Nakamae Takashi T   Nakao Tomohiro T   Narayanaswamy Janardhanan C JC   Nurmi Erika L EL   O'Neill Joseph J   Pariente Jose C JC   Perriello Chris C   Piacentini John J   Piras Fabrizio F   Piras Federica F   Reddy Y C Janardhan YCJ   Rus-Oswald Oana G OG   Sakai Yuki Y   Sato João R JR   Schmaal Lianne L   Shimizu Eiji E   Simpson H Blair HB   Soreni Noam N   Soriano-Mas Carles C   Spalletta Gianfranco G   Stern Emily R ER   Stevens Michael C MC   Stewart S Evelyn SE   Szeszko Philip R PR   Tolin David F DF   Venkatasubramanian Ganesan G   Wang Zhen Z   Yun Je-Yeon JY   van Rooij Daan D   Thompson Paul M PM   van den Heuvel Odile A OA   Stein Dan J DJ   van Wingen Guido A GA  

Translational psychiatry 20201008 1


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 compl  ...[more]

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