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ABCD Sociocultural PLSC Analysis

This repository contains R scripts that used partial least squares correlation (PLSC) (Krishnan et al., 2011; McIntosh and Lobaugh, 2004 to identify latent, multivariate patterns of associations between the adolescent sociocultural environment (at the individual, family, and community levels) and resting state functional connectivity (rsFC). rsFC was chosen as a neurobiological metric of interest given (i) prior work linking resting state fluctuations and cultural variables (Constante et al., 2023; Luo et al., 2022; Meca et al., 2023), (ii) the known functional relevance of rsFC to self-referential and affiliative processing (Pintos Lobo et al., 2020; Raichle, 2015, and (iii) the flexibility of rsFC to examine the full range of brain systems in absence of external stimuli and/or task demands (Smith et al., 2009.

Additionally, for each significant latent dimension derived from PLSC, we conducted a regression analysis to determine how the identified sociocultural brain patterns may relate to behavioral risk/resilience factors, which will include measures of both physical health (e.g., physical inactivity, weight/obesity, sleep) and mental health (e.g., internalizing/externalizing symptoms).

Variables that were included in the PLSC analysis:

Sociocultural Measures Gordon Networks
MEIM-R youth Auditory Network
VIA youth Cingulo-opercular Network
MACV youth Cingulo-parietal Network
MEIM-R caregiver Default Network
VIA caregiver Dorsal Attention Network
MACV caregiver Fronto-parietal Network
Perceived discrimination Retrosplenial Temporal Network
Community cohesion Sensorimotor Hand Network
LED: Child opportunity index Sensorimotor Mouth Network
LED: NaNDA disadvantage index Salience Network
LED: Getis-Ord Gi* Statistic Ventral Attention Network
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