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Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm

Jiang, Yuchao
Author Jiang, Yuchao ORCID Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
Luo, Cheng
Author Luo, Cheng ORCID The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu, China Research Unit of NeuroInformation (2019RU035), Chinese Academy of Medical Sciences, Chengdu, China
Wang, Jijun
Author Wang, Jijun Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Palaniyappan, Lena
Author Palaniyappan, Lena ORCID Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
Chang, Xiao
Author Chang, Xiao ORCID Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
Xiang, Shitong
Author Xiang, Shitong ORCID Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
Zhang, Jie
Author Zhang, Jie ORCID Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
Duan, Mingjun
Author Duan, Mingjun The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
Huang, Huan
Author Huang, Huan The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China
Gaser, Christian
Author Gaser, Christian ORCID Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany Department of Neurology, Jena University Hospital, Jena, Germany German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Magdeburg, Germany

Nature communications. 2024 ; 15 (1) : 5996. [pub] 20240717

Nat Commun
ISSN 2041-1723
Medvik
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Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal 'trajectory' of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors.

MeSH
Algorithms * MeSH
Adult MeSH
Hippocampus diagnostic imaging pathology MeSH
Middle Aged MeSH
Humans MeSH
Magnetic Resonance Imaging * MeSH
Brain diagnostic imaging pathology MeSH
Neuroimaging MeSH
Cross-Sectional Studies MeSH
Reproducibility of Results MeSH
Schizophrenia * diagnostic imaging pathology MeSH
Gray Matter * diagnostic imaging pathology MeSH
Machine Learning MeSH
Check Tag
Adult MeSH
Middle Aged MeSH
Humans MeSH
Male MeSH
Female MeSH
Publication type
Journal Article MeSH
Geographicals
Europe MeSH
North America MeSH

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