CortexNeurosciencePeer-reviewed journal article
Slow-wave brain connectivity predicts executive functioning and group belonging in socially vulnerable individuals
Renzo Carlo LanfrancoiD, Fabienne dos Santos SousaiD, Pierre Musa WesseliD, Álvaro A. Rivera-ReiiD, Tristan Andres BekinschteiniD, Boris Andrés LuceroiD, Andrés Canales‐JohnsoniD, David HuepeiD
Abstract
Important efforts have been made to describe the neural and cognitive features of healthy and clinical populations. However, the neural and cognitive features of socially vulnerable individuals remain largely unexplored, despite their proneness to developing neurocognitive disorders. Socially vulnerable individuals can be characterised as socially deprived, having a low socioeconomic status, suffering from chronic social stress, and exhibiting poor social adaptation. While it is known that such individuals are likely to perform worse than their peers on executive function tasks, studies on healthy but socially vulnerable groups are lacking. In the current study, we explore whether neural power and connectivity signatures can characterise executive function performance in healthy but socially vulnerable individuals, shedding light on the impairing effects that chronic stress and social disadvantages have on cognition. We measured resting-state electroencephalography and executive functioning in 38 socially vulnerable participants and 38 matched control participants. Our findings indicate that while neural power was uninformative, lower delta and theta phase synchrony are associated with worse executive function performance in all participants, whereas delta phase synchrony is higher in the socially vulnerable group compared to the control group. Finally, we found that delta phase synchrony and years of schooling are the best predictors for belonging to the socially vulnerable group. Overall, these findings suggest that exposure to chronic stress due to socioeconomic factors and a lack of education are associated with changes in slow-wave neural connectivity and executive functioning.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 5
- FWCI
- 1.21
- Field percentile
- top 25%
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