TY - JOUR
T1 - Evidence for dissociable linkage of dimensions of psychopathology to brain structure in youths
AU - Kaczkurkin, Antonia N.
AU - Park, Sophia Seonyeong
AU - Sotiras, Aristeidis
AU - Moore, Tyler M.
AU - Calkins, Monica E.
AU - Cieslak, Matthew
AU - Rosen, Adon F.G.
AU - Ciric, Rastko
AU - Xia, Cedric Huchuan
AU - Cui, Zaixu
AU - Sharma, Anup
AU - Wolf, Daniel H.
AU - Ruparel, Kosha
AU - Pine, Daniel S.
AU - Shinohara, Russell T.
AU - Roalf, David R.
AU - Gur, Ruben C.
AU - Davatzikos, Christos
AU - Gur, Raquel E.
AU - Satterthwaite, Theodore D.
N1 - Funding Information:
Dr. Sotiras is a stockholder in TheraPanacea. Dr. Shinohara has received legal consulting and advisory board income from Genentech/Roche; he has received compensation for editorial and review duties from the American Medical Association, NIH, and Research Square; and he has received grant support from the National Multiple Sclerosis Society, NIH, and the Race to Erase MS. The other authors report no financial relationships with commercial interests.
Funding Information:
Supported by NIMH (grants K99MH117274 to Dr. Kaczkurkin, R01MH107703 and R01MH113550 to Dr. Satterthwaite, R01NS085211 to Dr. Shinohara, R01MH112847 to Dr. Shinohara and Dr. Satterthwaite, R01MH107235 toDr. R.C. Gur, and grant R01MH112070toDr. Davatzikos), the Dowshen Program for Neuroscience, and the Lifespan Brain Institute at the Children's Hospital of Philadelphia and Penn Medicine. The Philadelphia Neurodevelopmental Cohort study was funded by NIMH RC2 grants MH089983 and MH089924 to Dr. R.E. Gur. Support for developing statistical analyses (Dr. Shinohara and Dr. Satterthwaite) andfordeveloping multivariate pattern analysis software (Dr. Sotiras and Dr. Satterthwaite) was provided by a seed grant from the Center for Biomedical Computing and Image Analysis at University of Pennsylvania. Support was also provided by a NARSAD Young Investigator Award (to Dr. Kaczkurkin) and by a Research on Sex and Gender in Health grant from Penn PROMOTES (to Dr. Kaczkurkin) awarded as part of the Building Interdisciplinary Research Careers in Women's Health (grant K12 HD085848) at the University of Pennsylvania.
Funding Information:
Supported by NIMH (grants K99MH117274 to Dr. Kaczkurkin, R01MH107703 and R01MH113550 to Dr. Satterthwaite, R01NS085211 to Dr. Shinohara, R01MH112847 to Dr. Shinohara and Dr. Satterthwaite, R01MH107235 to Dr. R.C. Gur, and grant R01MH112070 to Dr. Davatzikos), the Dowshen Program for Neuroscience, and the Lifespan Brain Institute at the Children’s Hospital of Philadelphia and Penn Medicine. The Philadelphia Neurodevelopmental Cohort study was funded by NIMH RC2 grants MH089983 and MH089924 to Dr. R.E. Gur. Support for developing statisticalanalyses(Dr.ShinoharaandDr.Satterthwaite)andfordeveloping multivariate pattern analysis software (Dr. Sotiras and Dr. Satterthwaite) was provided by a seed grant from the Center for Biomedical Computing and Image Analysis at University of Pennsylvania. Support was also provided by a NARSAD Young Investigator Award (to Dr. Kaczkurkin) and by a Research on Sex and Gender in Health grant from Penn PROMOTES (to Dr. Kaczkurkin) awarded as part of the Building Interdisciplinary Research Careers in Women’s Health (grant K12 HD085848) at the University of Pennsylvania.
Publisher Copyright:
© 2019 American Psychiatric Association. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Objective: High comorbidity among psychiatric disorders suggests that they may share underlying neurobiological deficits. Abnormalities in cortical thickness and volume have been demonstrated in clinical samples of adults, but less is known when these structural differences emerge in youths. The purpose of this study was to examine the association between dimensions of psychopathology and brain structure. Methods: The authors studied 1,394 youths who underwent brain imaging as part of the Philadelphia Neurodevelopmental Cohort. Dimensions of psychopathology were constructed using a bifactor model of symptoms. Cortical thickness and volume were quantified using high-resolution 3-T MRI. Structural covariance networks were derived using nonnegative matrix factorization and analyzed using generalized additive models with penalized splines to capture both linear and nonlinear age-related effects. Results: Fear symptoms were associated with reduced cortical thickness inmost networks, and overall psychopathology was associated with globally reduced gray matter volume across all networks. Structural covariance networks predicted psychopathology symptoms above and beyond demographic characteristics and cognitive performance. Conclusions: The results suggest a dissociable relationship whereby fear is most strongly linked to reduced cortical thickness and overall psychopathology is most strongly linked to global reductions in gray matter volume. Such results have implications for understanding how abnormalities of brain development may be associated with divergent dimensions of psychopathology.
AB - Objective: High comorbidity among psychiatric disorders suggests that they may share underlying neurobiological deficits. Abnormalities in cortical thickness and volume have been demonstrated in clinical samples of adults, but less is known when these structural differences emerge in youths. The purpose of this study was to examine the association between dimensions of psychopathology and brain structure. Methods: The authors studied 1,394 youths who underwent brain imaging as part of the Philadelphia Neurodevelopmental Cohort. Dimensions of psychopathology were constructed using a bifactor model of symptoms. Cortical thickness and volume were quantified using high-resolution 3-T MRI. Structural covariance networks were derived using nonnegative matrix factorization and analyzed using generalized additive models with penalized splines to capture both linear and nonlinear age-related effects. Results: Fear symptoms were associated with reduced cortical thickness inmost networks, and overall psychopathology was associated with globally reduced gray matter volume across all networks. Structural covariance networks predicted psychopathology symptoms above and beyond demographic characteristics and cognitive performance. Conclusions: The results suggest a dissociable relationship whereby fear is most strongly linked to reduced cortical thickness and overall psychopathology is most strongly linked to global reductions in gray matter volume. Such results have implications for understanding how abnormalities of brain development may be associated with divergent dimensions of psychopathology.
UR - http://www.scopus.com/inward/record.url?scp=85075842115&partnerID=8YFLogxK
U2 - 10.1176/appi.ajp.2019.18070835
DO - 10.1176/appi.ajp.2019.18070835
M3 - Article
C2 - 31230463
AN - SCOPUS:85075842115
SN - 0002-953X
VL - 176
SP - 1000
EP - 1009
JO - American Journal of Psychiatry
JF - American Journal of Psychiatry
IS - 12
ER -