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Early life stress and functional network topology in children.
Jeong, Hee Jung; Reimann, Gabrielle E; Durham, E Leighton; Archer, Camille; Stier, Andrew J; Moore, Tyler M; Pines, Julia R; Berman, Marc G; Kaczkurkin, Antonia N.
Afiliación
  • Jeong HJ; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.
  • Reimann GE; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.
  • Durham EL; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.
  • Archer C; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.
  • Stier AJ; Department of Psychology, University of Chicago, Chicago, IL 60637, USA.
  • Moore TM; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Pines JR; The Columbia Center for Eating Disorders, New York State Psychiatric Institute, New York, NY 10032, USA.
  • Berman MG; Department of Psychology, University of Chicago, Chicago, IL 60637, USA; The University of Chicago Neuroscience Institute, University of Chicago, Chicago, IL 60637, USA.
  • Kaczkurkin AN; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA. Electronic address: antonia.kaczkurkin@vanderbilt.edu.
Dev Cogn Neurosci ; 66: 101367, 2024 Apr.
Article en En | MEDLINE | ID: mdl-38518431
ABSTRACT
Brain networks are continuously modified throughout development, yet this plasticity can also make functional networks vulnerable to early life stress. Little is currently known about the effect of early life stress on the functional organization of the brain. The current study investigated the association between environmental stressors and network topology using data from the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study. Hierarchical modeling identified a general factor of environmental stress, representing the common variance across multiple stressors, as well as four subfactors including familial dynamics, interpersonal support, neighborhood SES deprivation, and urbanicity. Functional network topology metrics were obtained using graph theory at rest and during tasks of reward processing, inhibition, and affective working memory. The general factor of environmental stress was associated with less specialization of networks, represented by lower modularity at rest. Local metrics indicated that general environmental stress was also associated with less efficiency in the subcortical-cerebellar and visual networks while showing greater efficiency in the default mode network at rest. Subfactors of environmental stress were associated with differences in specialization and efficiency in select networks. The current study illustrates that a wide range of stressors in a child's environment are associated with differences in brain network topology.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Dev Cogn Neurosci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Dev Cogn Neurosci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos