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Particulate Matter Exposure and Default Mode Network Equilibrium During Early Adolescence.
Zundel, Clara G; Ely, Samantha; Brokamp, Cole; Strawn, Jeffrey R; Jovanovic, Tanja; Ryan, Patrick; Marusak, Hilary A.
Afiliación
  • Zundel CG; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, USA.
  • Ely S; Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, USA.
  • Brokamp C; Translational Neuroscience Program, Wayne State University, Detroit, Michigan, USA.
  • Strawn JR; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • Jovanovic T; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Ryan P; Anxiety Disorders Research Program, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
  • Marusak HA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Brain Connect ; 14(6): 307-318, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38814823
ABSTRACT

Background:

Air pollution exposure has been associated with adverse cognitive and mental health outcomes in children, adolescents, and adults, although youth may be particularly susceptible given ongoing brain development. However, the neurodevelopmental mechanisms underlying the associations among air pollution, cognition, and mental health remain unclear. We examined the impact of particulate matter (PM2.5) on resting-state functional connectivity (rsFC) of the default mode network (DMN) and three key attention networks dorsal attention, ventral attention, and cingulo-opercular.

Methods:

Longitudinal changes in rsFC within/between networks were assessed from baseline (9-10 years) to the 2-year follow-up (11-12 years) in 10,072 youth (M ± SD = 9.93 + 0.63 years; 49% female) from the Adolescent Brain Cognitive Development (ABCD®) study. Annual ambient PM2.5 concentrations from the 2016 calendar year were estimated using hybrid ensemble spatiotemporal models. RsFC was estimated using functional neuroimaging. Linear mixed models were used to test associations between PM2.5 and change in rsFC over time while adjusting for relevant covariates (e.g., age, sex, race/ethnicity, parental education, and family income) and other air pollutants (O3, NO2).

Results:

A PM2.5 × time interaction was significant for within-network rsFC of the DMN such that higher PM2.5 concentrations were associated with a smaller increase in rsFC over time. Further, significant PM2.5 × time interactions were observed for between-network rsFC of the DMN and all three attention networks, with varied directionality.

Conclusion:

PM2.5 exposure was associated with alterations in the development and equilibrium of the DMN-a network implicated in self-referential processing-and anticorrelated attention networks, which may impact trajectories of cognitive and mental health symptoms across adolescence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Contaminación del Aire / Material Particulado / Red en Modo Predeterminado Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Brain Connect Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Contaminación del Aire / Material Particulado / Red en Modo Predeterminado Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Brain Connect Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos