Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.

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Bibliographic Details
Title: Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.
Authors: Shappell HM; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina., Liu Z; Child Study Center, Yale University School of Medicine, New Haven, Connecticut.; Department of Social and Behavioral Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut., Khodaei M; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.; Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Winston-Salem, North Carolina., He G; Department of Psychology, Yale University, New Haven, Connecticut., Gee DG; Child Study Center, Yale University School of Medicine, New Haven, Connecticut.; Department of Psychology, Yale University, New Haven, Connecticut.; Wu Tsai Institute, Yale University, New Haven, Connecticut., Lindquist MA; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland., Sukhodolsky DG; Child Study Center, Yale University School of Medicine, New Haven, Connecticut., McCarthy G; Department of Psychology, Yale University, New Haven, Connecticut.; Wu Tsai Institute, Yale University, New Haven, Connecticut., Ibrahim K; Child Study Center, Yale University School of Medicine, New Haven, Connecticut.; Department of Psychology, Yale University, New Haven, Connecticut.; Wu Tsai Institute, Yale University, New Haven, Connecticut.
Source: Biological psychiatry global open science [Biol Psychiatry Glob Open Sci] 2026 Jan 10; Vol. 6 (3), pp. 100689. Date of Electronic Publication: 2026 Jan 10 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc. on behalf of Society of Biological Psychiatry Country of Publication: United States NLM ID: 9918227369306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2667-1743 (Electronic) Linking ISSN: 26671743 NLM ISO Abbreviation: Biol Psychiatry Glob Open Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2667-1743
DOI:10.1016/j.bpsgos.2026.100689