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Scope
Computational Psychiatry publishes original peer-reviewed research articles that aim to understand psychiatric disorders through computational modeling of brain with using data from multiple disciplines examined at different levels.
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Scope
Computational Psychiatry publishes original peer-reviewed research articles that aim to understand psychiatric disorders through computational modeling of brain with using data from multiple disciplines examined at different levels. Topics include psychiatric taxonomy, computational work with brain histology, multimodal neuroimaging, establishing clinical relevance of computational research such as clinical applications of brain imaging data in the emerging field of psychoradiology, computational and statistical methodologies, defining patient subgroups empirically using machine learning approaches, and translational medicine. Special emphasis is placed on application of state-of-the-art methodologies and data integration approaches to study mental disorders or advance understanding of them. Presentations of new computational and statistical approaches to address questions in psychiatry research are also welcome.
Indexed in: CLOCKSS, CrossRef, DOAJ, Embase, Google Scholar, PsycINFO, PubMed, PubMed Central (PMC), Scopus, Social Science Citation Index (SSCI)
PMCID: all published articles receive a PMCID
Computational Psychiatry welcomes submissions of the following article types: Brief Research Report, Case Report, Clinical Trial, Correction, Editorial, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Study Protocol and Systematic Review.
All manuscripts must be submitted directly to the section Computational Psychiatry, where they are peer-reviewed by the Associate and Review Editors of the specialty section.
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