Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC

Kelly Rootes-Murdy; Sandeep Panta; Ross Kelly; Javier Romero; Yann Quidé; Murray J Cairns; Carmel Loughland; Vaughan J Carr; Stanley V Catts; Assen Jablensky; Melissa J Green; Frans Henskens; Dylan Kiltschewskij; Patricia T Michie; Bryan Mowry; Christos Pantelis; Paul E Rasser; William R Reay; Ulrich Schall; Rodney J Scott; Oliver J Watkeys; Gloria Roberts; Philip B Mitchell; Janice M Fullerton; Bronwyn J Overs; Masataka Kikuchi; Ryota Hashimoto; Junya Matsumoto; Masaki Fukunaga; Perminder S Sachdev; Henry Brodaty; Wei Wen; Jiyang Jiang; Negar Fani; Timothy D Ely; Adriana Lorio; Jennifer S Stevens; Kerry Ressler; Tanja Jovanovic; Sanne J H van Rooij; Lydia M Federmann; Christiane Jockwitz; Alexander Teumer; Andreas J Forstner; Svenja Caspers; Sven Cichon; Sergey M Plis; Anand D Sarwate; Vince D Calhoun

doi:10.1016/j.patter.2024.100987

Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC

Patterns (N Y). 2024 May 2;5(7):100987. doi: 10.1016/j.patter.2024.100987. eCollection 2024 Jul 12.

Authors

Kelly Rootes-Murdy¹, Sandeep Panta¹, Ross Kelly¹, Javier Romero¹, Yann Quidé^{2

3}, Murray J Cairns^{4

5

6}, Carmel Loughland^{5

6}, Vaughan J Carr^{3

7

8}, Stanley V Catts⁹, Assen Jablensky¹⁰, Melissa J Green^{3

7}, Frans Henskens^{6

11

12}, Dylan Kiltschewskij^{4

5

6}, Patricia T Michie^{6

13}, Bryan Mowry^{14

15}, Christos Pantelis^{16

17}, Paul E Rasser^{6

12}, William R Reay^{4

5

6}, Ulrich Schall^{5

6}, Rodney J Scott⁴, Oliver J Watkeys^{3

7}, Gloria Roberts⁷, Philip B Mitchell⁷, Janice M Fullerton^{3

18}, Bronwyn J Overs³, Masataka Kikuchi¹⁹, Ryota Hashimoto²⁰, Junya Matsumoto²⁰, Masaki Fukunaga²¹, Perminder S Sachdev^{22

23}, Henry Brodaty²², Wei Wen²², Jiyang Jiang²², Negar Fani²⁴, Timothy D Ely²⁴, Adriana Lorio²⁵, Jennifer S Stevens^{24

26}, Kerry Ressler^{27

28}, Tanja Jovanovic²⁹, Sanne J H van Rooij²⁴, Lydia M Federmann^{30

31}, Christiane Jockwitz^{30

32}, Alexander Teumer³³, Andreas J Forstner^{30

31}, Svenja Caspers^{30

32}, Sven Cichon^{30

34

35}, Sergey M Plis¹, Anand D Sarwate³⁶, Vince D Calhoun¹

Affiliations

¹ Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA.
² School of Psychology, University of New South Wales, Sydney, NSW, Australia.
³ Neuroscience Research Australia, Sydney, NSW, Australia.
⁴ School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia.
⁵ Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW, Australia.
⁶ Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
⁷ Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
⁸ Department of Psychiatry, Monash University, Clayton, VIC, Australia.
⁹ School of Medicine, University of Queensland, Brisbane, QLD, Australia.
¹⁰ University of Western Australia, Perth, WA, Australia.
¹¹ School of Medicine & Public Health, University of Newcastle, Newcastle, NSW, Australia.
¹² Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, NSW, Australia.
¹³ School of Psychological Sciences, University of Newcastle, Callaghan, NSW, Australia.
¹⁴ Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.
¹⁵ Queensland Centre for Mental Health Research, University of Queensland, Brisbane, QLD, Australia.
¹⁶ Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne & Melbourne Health, Carlton South, VIC, Australia.
¹⁷ Florey Institute of Neuroscience & Mental Health, Parkville, VIC, Australia.
¹⁸ School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia.
¹⁹ Department of Computational Biology and Medical Sciences, University of Tokyo, Chiba, Japan.
²⁰ Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
²¹ Section of Brain Function Information, National Institute for Physiological Sciences, Aichi, Japan.
²² Centre for Healthy Brain Aging, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, NSW, Australia.
²³ Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, NSW, Australia.
²⁴ Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA.
²⁵ American Cancer Institute, Kennesaw, GA, USA.
²⁶ Atlanta VA Medical Center, Decatur, GA, USA.
²⁷ McLean Hospital, Harvard Medical School, Belmont, MA, USA.
²⁸ Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
²⁹ Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
³⁰ Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany.
³¹ Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
³² Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
³³ Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
³⁴ Department of Biomedicine, University of Basel, Basel, Switzerland.
³⁵ Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.
³⁶ Department of Electrical and Computer Engineering, Rutgers University-New Brunswick, Piscataway, NJ, USA.

Abstract

Structural neuroimaging studies have identified a combination of shared and disorder-specific patterns of gray matter (GM) deficits across psychiatric disorders. Pooling large data allows for examination of a possible common neuroanatomical basis that may identify a certain vulnerability for mental illness. Large-scale collaborative research is already facilitated by data repositories, institutionally supported databases, and data archives. However, these data-sharing methodologies can suffer from significant barriers. Federated approaches augment these approaches by enabling access or more sophisticated, shareable and scaled-up analyses of large-scale data. We examined GM alterations using Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation, an open-source, decentralized analysis application. Through federated analysis of eight sites, we identified significant overlap in the GM patterns (n = 4,102) of individuals with schizophrenia, major depressive disorder, and autism spectrum disorder. These results show cortical and subcortical regions that may indicate a shared vulnerability to psychiatric disorders.

Keywords: COINSTAC; PTSD; decentralized; federated analysis; gray matter; mild cognitive impairment; mood disorders; psychiatric disorders; regression; transdiagnostic.