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Stability Of Default-Mode Network Activity In The Aging Brain.
Beason-Held, L L; Kraut, M A; Resnick, S M.
Afiliación
  • Beason-Held LL; Laboratory of Personality and Cognition, National Institute on Aging, NIH.
Brain Imaging Behav ; 3(2): 123-131, 2009 Jan 14.
Article en En | MEDLINE | ID: mdl-19568331
ABSTRACT
Activity attributed to the default-mode occurs during the resting state and is thought to represent self-referential and other intrinsic processes. Although activity in default-associated regions changes across the lifespan, little is known about the stability of default-mode activity in the healthy aging brain. We investigated changes in rest-specific activity across an 8 year period in older participants in the Baltimore Longitudinal Study of Aging (BLSA) neuroimaging study. Comparison of resting-state and recognition memory PET regional cerebral blood flow conditions from baseline and 8-year follow-up shows relative stability of rest-specific activity over time in medial frontal/anterior cingulate, hippocampal and posterior cingulate regions commonly associated with the default-mode. In contrast, prefrontal, parahippocampal and occipital cortical regions, which are not typically associated with default-mode activity, show changes over time Overall, activity in the major components of the default-mode network remains stable in healthy older individuals, a finding which may assist in identifying factors that discriminate between normal and pathological aging.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2009 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2009 Tipo del documento: Article