TY - JOUR
T1 - Separable and replicable neural strategies during social brain function in people with and without severe mental illness
AU - (SPINS) group
AU - Hawco, Colin
AU - Buchanan, Robert W.
AU - Calarco, Navona
AU - Mulsant, Benoit H.
AU - Viviano, Joseph D.
AU - Dickie, Erin W.
AU - Argyelan, Miklos
AU - Gold, James M.
AU - Iacoboni, Marco
AU - DeRosse, Pamela
AU - Foussias, George
AU - Malhotra, Anil K.
AU - Voineskos, Aristotle N.
AU - Carpenter, Will
AU - Zaranski, Jen
AU - Arbach, Eric
AU - August, Sharon
AU - Kochunov, Peter
AU - Kingsley, Peter
AU - Zhou, Xiangzhi
AU - Chavez, Sofia
AU - Remington, Gary
AU - Kwan, Judy
AU - Plagiannakos, Christina
AU - Mason, Mikko
AU - Boczulak, Marzena
AU - Miranda, Dielle
AU - Homan, Philipp
AU - Green, Michael
N1 - Publisher Copyright:
© 2019 American Psychiatric Association. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Objective: Case-control study design and disease heterogeneity may impede biomarker discovery in brain disorders, including serious mental illnesses. To identify biologically and/or behaviorally driven as opposed to diagnostically driven subgroups of individuals, the authors used hierarchical clustering to identify individuals with similar patterns of brain activity during a facial imitate/observe functional MRI task. Methods: Participants in the Social Processes Initiative in Neurobiology of the Schizophrenia(s) study (N=179; 109 with a schizophrenia spectrum disorder and 70 healthy control participants) underwent MRI scanning at three sites. Hierarchical clustering was used to identify new data-driven groups of participants; differences on social and neurocognitive tests completed outside the scanner were compared among the new groups. Results: Three clusters with distinct patterns of neural activity were found. Cluster membership was not related to diagnosis or scan site. The largest cluster consisted of “typical activators,” with activity in the canonical “simulation” circuit. The other clusters represented a “hyperactivating” group and a “deactivating” group. Between-participants Euclidean distances were smaller within clusters than within site or diagnostics groups. The deactivating group had the highest social cognitive and neurocognitive test scores. The hierarchical clustering analysis was repeated on a replication sample (N=108; 32 schizophrenia spectrum disorder, 37 euthymic bipolar disorder, and 39 healthy control participants), which exhibited the same three cluster patterns. Conclusions: The study findings demonstrate replicable differing patterns of neural activity among individuals during a socio-emotional task, independent of DSM diagnosis or scan site. The findings may provide objective neuroimaging endpoints (biomarkers) for subgroups of individuals in target engagement research aimed at enhancing cognitive performance independent of diagnostic category.
AB - Objective: Case-control study design and disease heterogeneity may impede biomarker discovery in brain disorders, including serious mental illnesses. To identify biologically and/or behaviorally driven as opposed to diagnostically driven subgroups of individuals, the authors used hierarchical clustering to identify individuals with similar patterns of brain activity during a facial imitate/observe functional MRI task. Methods: Participants in the Social Processes Initiative in Neurobiology of the Schizophrenia(s) study (N=179; 109 with a schizophrenia spectrum disorder and 70 healthy control participants) underwent MRI scanning at three sites. Hierarchical clustering was used to identify new data-driven groups of participants; differences on social and neurocognitive tests completed outside the scanner were compared among the new groups. Results: Three clusters with distinct patterns of neural activity were found. Cluster membership was not related to diagnosis or scan site. The largest cluster consisted of “typical activators,” with activity in the canonical “simulation” circuit. The other clusters represented a “hyperactivating” group and a “deactivating” group. Between-participants Euclidean distances were smaller within clusters than within site or diagnostics groups. The deactivating group had the highest social cognitive and neurocognitive test scores. The hierarchical clustering analysis was repeated on a replication sample (N=108; 32 schizophrenia spectrum disorder, 37 euthymic bipolar disorder, and 39 healthy control participants), which exhibited the same three cluster patterns. Conclusions: The study findings demonstrate replicable differing patterns of neural activity among individuals during a socio-emotional task, independent of DSM diagnosis or scan site. The findings may provide objective neuroimaging endpoints (biomarkers) for subgroups of individuals in target engagement research aimed at enhancing cognitive performance independent of diagnostic category.
UR - http://www.scopus.com/inward/record.url?scp=85064699096&partnerID=8YFLogxK
U2 - 10.1176/appi.ajp.2018.17091020
DO - 10.1176/appi.ajp.2018.17091020
M3 - Article
C2 - 30606045
AN - SCOPUS:85064699096
SN - 0002-953X
VL - 176
SP - 521
EP - 530
JO - American Journal of Psychiatry
JF - American Journal of Psychiatry
IS - 7
ER -