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Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan.
Kupis, Lauren; Goodman, Zachary T; Kornfeld, Salome; Hoang, Stephanie; Romero, Celia; Dirks, Bryce; Dehoney, Joseph; Chang, Catie; Spreng, R Nathan; Nomi, Jason S; Uddin, Lucina Q.
Afiliação
  • Kupis L; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Goodman ZT; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Kornfeld S; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Hoang S; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Romero C; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Dirks B; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Dehoney J; Department of Psychology, University of Miami, Coral Gables, FL 33124, USA.
  • Chang C; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
  • Spreng RN; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
  • Nomi JS; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN 37232, USA.
  • Uddin LQ; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada.
Cereb Cortex ; 31(11): 5263-5274, 2021 10 01.
Article em En | MEDLINE | ID: mdl-34145442
ABSTRACT
The neural mechanisms contributing to flexible cognition and behavior and how they change with development and aging are incompletely understood. The current study explored intrinsic brain dynamics across the lifespan using resting-state fMRI data (n = 601, 6-85 years) and examined the interactions between age and brain dynamics among three neurocognitive networks (midcingulo-insular network, M-CIN; medial frontoparietal network, M-FPN; and lateral frontoparietal network, L-FPN) in relation to behavioral measures of cognitive flexibility. Hierarchical multiple regression analysis revealed brain dynamics among a brain state characterized by co-activation of the L-FPN and M-FPN, and brain state transitions, moderated the relationship between quadratic effects of age and cognitive flexibility as measured by scores on the Delis-Kaplan Executive Function System (D-KEFS) test. Furthermore, simple slope analyses of significant interactions revealed children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility compared with younger adults. Our findings link changes in cognitive flexibility observed with age with the underlying brain dynamics supporting these changes. Preventative and intervention measures should prioritize targeting these networks with cognitive flexibility training to promote optimal outcomes across the lifespan.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Longevidade Limite: Aged / Child / Humans Idioma: En Revista: Cereb Cortex Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Longevidade Limite: Aged / Child / Humans Idioma: En Revista: Cereb Cortex Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos