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Robust and replicable functional brain signatures of 22q11.2 deletion syndrome and associated psychosis: a deep neural network-based multi-cohort study.
Supekar, Kaustubh; de Los Angeles, Carlo; Ryali, Srikanth; Kushan, Leila; Schleifer, Charlie; Repetto, Gabriela; Crossley, Nicolas A; Simon, Tony; Bearden, Carrie E; Menon, Vinod.
Afiliação
  • Supekar K; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA. ksupekar@stanford.edu.
  • de Los Angeles C; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA. ksupekar@stanford.edu.
  • Ryali S; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
  • Kushan L; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
  • Schleifer C; Department of Psychiatry and Behavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA.
  • Repetto G; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
  • Crossley NA; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
  • Simon T; Center for Genetics and Genomics, Facultad de Medicina, Clinica Alemana Universidad del Desarrollo, Santiago, Chile.
  • Bearden CE; Department of Psychiatry, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Menon V; Department of Psychiatry, University of Oxford, Oxford, UK.
Mol Psychiatry ; 29(10): 2951-2966, 2024 Oct.
Article em En | MEDLINE | ID: mdl-38605171
ABSTRACT
A major genetic risk factor for psychosis is 22q11.2 deletion (22q11.2DS). However, robust and replicable functional brain signatures of 22q11.2DS and 22q11.2DS-associated psychosis remain elusive due to small sample sizes and a focus on small single-site cohorts. Here, we identify functional brain signatures of 22q11.2DS and 22q11.2DS-associated psychosis, and their links with idiopathic early psychosis, using one of the largest multi-cohort data to date. We obtained multi-cohort clinical phenotypic and task-free fMRI data from 856 participants (101 22q11.2DS, 120 idiopathic early psychosis, 101 idiopathic autism, 123 idiopathic ADHD, and 411 healthy controls) in a case-control design. A novel spatiotemporal deep neural network (stDNN)-based analysis was applied to the multi-cohort data to identify functional brain signatures of 22q11.2DS and 22q11.2DS-associated psychosis. Next, stDNN was used to test the hypothesis that the functional brain signatures of 22q11.2DS-associated psychosis overlap with idiopathic early psychosis but not with autism and ADHD. stDNN-derived brain signatures distinguished 22q11.2DS from controls, and 22q11.2DS-associated psychosis with very high accuracies (86-94%) in the primary cohort and two fully independent cohorts without additional training. Robust distinguishing features of 22q11.2DS-associated psychosis emerged in the anterior insula node of the salience network and the striatum node of the dopaminergic reward pathway. These features also distinguished individuals with idiopathic early psychosis from controls, but not idiopathic autism or ADHD. Our results reveal that individuals with 22q11.2DS exhibit a highly distinct functional brain organization compared to controls. Additionally, the brain signatures of 22q11.2DS-associated psychosis overlap with those of idiopathic early psychosis in the salience network and dopaminergic reward pathway, providing substantial empirical support for the theoretical aberrant salience-based model of psychosis. Collectively, our findings, replicated across multiple independent cohorts, advance the understanding of 22q11.2DS and associated psychosis, underscoring the value of 22q11.2DS as a genetic model for probing the neurobiological underpinnings of psychosis and its progression.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article