Multi-Class Classification of Cannabis and Alcohol Use Disorder: Identifying Common and Substance-Specific Neural Circuits.

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Title: Multi-Class Classification of Cannabis and Alcohol Use Disorder: Identifying Common and Substance-Specific Neural Circuits.
Authors: Kato A; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Psychiatry and Behavioral Sciences, Institute of Science Tokyo, Tokyo, Japan.; These authors contributed equally., Kulkarni KR; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Psychiatry, Yale University, New Haven, CT, USA.; These authors contributed equally., Das NR; Department of Computer Science, Columbia University., Heflin M; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Fiore VG; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Filbey FM; School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA., Gu X; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Center for Computational Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Oct 26. Date of Electronic Publication: 2025 Oct 26.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.10.24.684424