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Socio-demographic predictors of prepulse inhibition: A prospective study in children and adolescents from Mexico City
Journal article   Peer reviewed

Socio-demographic predictors of prepulse inhibition: A prospective study in children and adolescents from Mexico City

Kalé Z. Kponee-Shovein, Rachel Grashow, Brent A. Coull, Martha M. Téllez-Rojo, Lourdes Schnaas, Maria del Carmen Hernández-Chávez, Brisa Sánchez, Karen Peterson, Howard Hu, Mauricio Hernandez-Avila, …
Biological psychology, v 145, pp 8-16
Jul 2019
PMID: 30940478
url
https://www.ncbi.nlm.nih.gov/pmc/articles/12042598View
Open

Abstract

Human startle reflex Neurodevelopmental disorders Prepulse inhibition Risk factors Sensorimotor gating
•In children, Prepulse inhibition (PPI) deficits are associated with neurodevelopmental disorders.•We used a data-driven prediction model to identify six important predictors of PPI.•We found that typical predictors of neurodevelopmental disorders also predict PPI.•Our findings underscore the potential utility of PPI as a biological marker of neurodevelopmental disorders. Prepulse inhibition (PPI) is a sensorimotor gating mechanism that reduces interfering influences to the neural processing of incoming stimuli, and is associated with several neurodevelopmental disorders. To date, research on PPI and neurodevelopmental disorders has primarily been in cross-sectional, clinical settings. In this prospective, epidemiologic study, we used a data-driven prediction model to identify socio-demographic predictors of PPI in children and adolescents from Mexico City to inform future etiologic studies evaluating PPI. We conducted variable selection and validation using a modified version of the multiple imputation random lasso (MIRL) variable selection algorithm. MIRL identified six predictors of PPI at a stimulus onset asynchrony of 120 ms or 240 ms. Of those six predictors, maternal education, birthweight, and total breastfeeding months were highlighted as previously unstudied variables associated with enhanced PPI. Our findings highlight the potential value of PPI as an adjunct screening tool for identifying children at risk for neurodevelopmental disorders and underscore the relevance for validation research on this topic.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Behavioral Sciences
Psychology
Psychology, Biological
Psychology, Experimental
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