Your browser doesn't support javascript.
loading
Age-related differences in resting-state functional connectivity from childhood to adolescence.
Sanders, Ashley F P; Harms, Michael P; Kandala, Sridhar; Marek, Scott; Somerville, Leah H; Bookheimer, Susan Y; Dapretto, Mirella; Thomas, Kathleen M; Van Essen, David C; Yacoub, Essa; Barch, Deanna M.
Afiliação
  • Sanders AFP; Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA.
  • Harms MP; Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA.
  • Kandala S; Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA.
  • Marek S; Department of Radiology, Washington University School of Medicine, St Louis, MO 63119, USA.
  • Somerville LH; Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
  • Bookheimer SY; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles School of Medicine, Los Angeles, CA 90095, USA.
  • Dapretto M; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles School of Medicine, Los Angeles, CA 90095, USA.
  • Thomas KM; Institute of Child Development, University of Minnesota, Minneapolis, MN 55455, USA.
  • Van Essen DC; Department of Neuroscience, Washington University School of Medicine, St Louis, MO 63110, USA.
  • Yacoub E; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN 55455, USA.
  • Barch DM; Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63110, USA.
Cereb Cortex ; 33(11): 6928-6942, 2023 05 24.
Article em En | MEDLINE | ID: mdl-36724055
The human brain is active at rest, and spontaneous fluctuations in functional MRI BOLD signals reveal an intrinsic functional architecture. During childhood and adolescence, functional networks undergo varying patterns of maturation, and measures of functional connectivity within and between networks differ as a function of age. However, many aspects of these developmental patterns (e.g. trajectory shape and directionality) remain unresolved. In the present study, we characterised age-related differences in within- and between-network resting-state functional connectivity (rsFC) and integration (i.e. participation coefficient, PC) in a large cross-sectional sample of children and adolescents (n = 628) aged 8-21 years from the Lifespan Human Connectome Project in Development. We found evidence for both linear and non-linear differences in cortical, subcortical, and cerebellar rsFC, as well as integration, that varied by age. Additionally, we found that sex moderated the relationship between age and putamen integration where males displayed significant age-related increases in putamen PC compared with females. Taken together, these results provide evidence for complex, non-linear differences in some brain systems during development.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Conectoma Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Child / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Conectoma Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Adolescent / Child / Female / Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article