Reliability and predictability of phenotype information from functional connectivity in large imaging datasets.

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Bibliographic Details
Title: Reliability and predictability of phenotype information from functional connectivity in large imaging datasets.
Authors: Dafflon J; Data Science & Sharing Team, National Institute of Mental Health, Bethesda, MD, USA.; Machine Learning Team, National Institute of Mental Health, Bethesda, MD, USA., Moraczewski D; Data Science & Sharing Team, National Institute of Mental Health, Bethesda, MD, USA., Earl E; Data Science & Sharing Team, National Institute of Mental Health, Bethesda, MD, USA., Nielson DM; Machine Learning Team, National Institute of Mental Health, Bethesda, MD, USA., Loewinger G; Machine Learning Team, National Institute of Mental Health, Bethesda, MD, USA., McClure P; Naval Postgraduate School, Monterey, CA, USA., Thomas AG; Data Science & Sharing Team, National Institute of Mental Health, Bethesda, MD, USA., Pereira F; Machine Learning Team, National Institute of Mental Health, Bethesda, MD, USA.
Source: ArXiv [ArXiv] 2024 May 01. Date of Electronic Publication: 2024 May 01.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2331-8422