Human brain state dynamics are highly reproducible and associated with neural and behavioral features

Kangjoo Lee, Jie Lisa Ji, Clara Fonteneau, Lucie Berkovitch, Masih Rahmati, Lining Pan, Grega Repovš, John H Krystal, John D Murray and Alan Anticevic

PLOS Biology, 2024, vol. 22, issue 9, 1-34

Abstract: Neural activity and behavior vary within an individual (states) and between individuals (traits). However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns derived from resting-state functional magnetic resonance imaging. In healthy young adults, we identify reproducible spatiotemporal features of co-activation patterns at the single-subject level. We demonstrate that a joint analysis of state-trait neural variations and feature reduction reveal general motifs of individual differences, encompassing state-specific and general neural features that exhibit day-to-day variability. The principal neural variations co-vary with the principal variations of behavioral phenotypes, highlighting cognitive function, emotion regulation, alcohol and substance use. Person-specific probability of occupying a particular co-activation pattern is reproducible and associated with neural and behavioral features. This combined analysis of state-trait variations holds promise for developing reproducible neuroimaging markers of individual life functional outcome.Neural activity and behavior vary within and between individuals, but how these variations are linked to behavior is not well understood. This neuroimaging study shows that the human brain shows co-activation patterns that are highly reproducible and associated with neural and behavioral features.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3002808

DOI: 10.1371/journal.pbio.3002808

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