| Title: |
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC |
| Authors: |
Rootes-Murdy, Kelly; Panta, Sandeep; Green, Melissa J.; Henskens, Frans; Kiltschewskij, Dylan; Michie, Patricia T.; Mowry, Bryan; Pantelis, Christos; Rasser, Paul E.; Reay, William R.; Schall, Ulrich; Scott, Rodney J.; Kelly, Ross; Watkeys, Oliver J.; Roberts, G; Mitchell, P; Fullerton, JM; Overs, BJ; Kikuchi, M; Hashimoto, R; Matsumoto, J; Fukunaga, M; Sachdev, PS; Romero, Javier; Brodaty, H; Wen, W; Jiang, J; Fani, N; Ely, TD; Lorio, A; Stevens, JS; Ressler, K; Jovanovic, T; van Rooij, SJH; Quidé, Yann; Federmann, LM; Jockwitz, C; Teumer, A; Forstner, AJ; Caspers, S; Cichon, S; Plis, SM; Sarwate, AD; Calhoun, VD; Cairns, Murray J.; Loughland, Carmel; Carr, Vaughan J.; Catts, Stanley V.; Jablensky, Assen |
| Contributors: |
The University of Newcastle. College of Health, Medicine & Wellbeing, School of Medicine and Public Health |
| Publisher Information: |
Cell Press |
| Publication Year: |
2024 |
| Collection: |
NOVA: The University of Newcastle Research Online (Australia) |
| Subject Terms: |
transdiagnostic; federated analysis; COINSTAC; psychiatric disorders; regression; mood disorders |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
Patterns Vol. 5, Issue 7, no. 100987; http://hdl.handle.net/1959.13/1508125; uon:56090 |
| Availability: |
http://hdl.handle.net/1959.13/1508125 |
| Accession Number: |
edsbas.8EE1B547 |
| Database: |
BASE |