Generalizable and transportable resting-state neural signatures characterized by functional networks, neurotransmitters, and clinical symptoms in autism.
Journal
Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835
Informations de publication
Date de publication:
28 Sep 2024
28 Sep 2024
Historique:
received:
10
11
2023
accepted:
19
09
2024
revised:
10
09
2024
medline:
29
9
2024
pubmed:
29
9
2024
entrez:
28
9
2024
Statut:
aheadofprint
Résumé
Autism spectrum disorder (ASD) is a lifelong condition with elusive biological mechanisms. The complexity of factors, including inter-site and developmental differences, hinders the development of a generalizable neuroimaging classifier for ASD. Here, we developed a classifier for ASD using a large-scale, multisite resting-state fMRI dataset of 730 Japanese adults, aiming to capture neural signatures that reflect pathophysiology at the functional network level, neurotransmitters, and clinical symptoms of the autistic brain. Our adult ASD classifier was successfully generalized to adults in the United States, Belgium, and Japan. The classifier further demonstrated its successful transportability to children and adolescents. The classifier contained 141 functional connections (FCs) that were important for discriminating individuals with ASD from typically developing controls. These FCs and their terminal brain regions were associated with difficulties in social interaction and dopamine and serotonin, respectively. Finally, we mapped attention-deficit/hyperactivity disorder (ADHD), schizophrenia (SCZ), and major depressive disorder (MDD) onto the biological axis defined by the ASD classifier. ADHD and SCZ, but not MDD, were located proximate to ASD on the biological dimensions. Our results revealed functional signatures of the ASD brain, grounded in molecular characteristics and clinical symptoms, achieving generalizability and transportability applicable to the evaluation of the biological continuity of related diseases.
Identifiants
pubmed: 39342041
doi: 10.1038/s41380-024-02759-3
pii: 10.1038/s41380-024-02759-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307008
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP23wm0625001
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP24wm0625502
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307008
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP19dm0207069
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307001
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307004
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307009
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307008
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP24wm0625502
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307008
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP24wm0625502
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP18dm0307008
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP24wm0625502
Organisme : Japan Agency for Medical Research and Development (AMED)
ID : JP24wm0625502
Organisme : MEXT | Japan Society for the Promotion of Science (JSPS)
ID : JP21H05171
Organisme : MEXT | Japan Society for the Promotion of Science (JSPS)
ID : JP21H05174
Informations de copyright
© 2024. The Author(s).
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