Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.

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Bibliographic Details
Title: Complex affect dynamics offer limited incremental value for cross-sectional prediction of psychological and behavioural variables in cross-validated models.
Authors: Shu Y; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia. yinuo.shu@monash.edu., Levi PT; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Tiego J; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Constable T; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Pang JC; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Hartshorn B; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Kwee J; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Fortune K; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Bellgrove M; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia., Fornito A; School of Psychological Sciences, Turner Institute for Brain and Mental Health, and Monash Biomedical Imaging, Monash University, Victoria, Australia.
Source: BMC medicine [BMC Med] 2026 Jul 07. Date of Electronic Publication: 2026 Jul 07.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1741-7015
DOI:10.1186/s12916-026-04936-3