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- W4386863431 abstract "Neural activity and behavior manifest state and trait dynamics, as well as variation within and between individuals. 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 spatio-temporal 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." @default.
- W4386863431 created "2023-09-20" @default.
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- W4386863431 date "2023-09-19" @default.
- W4386863431 modified "2023-10-11" @default.
- W4386863431 title "Human brain state dynamics reflect individual neuro-phenotypes" @default.
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- W4386863431 doi "https://doi.org/10.1101/2023.09.18.557763" @default.
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