Imaging the effects of age on proactive control in healthy adults.

Previous research has reported reduced efficiency in reactive inhibition, along with reduced brain activations, in older adults. The current study investigated age-related behavioral and neural changes in proactive inhibition, and whether age may influence the relationship between proactive and reac...

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Publicado en:Brain Imaging & Behavior Vol. 13; no. 6; pp. 1526 - 1538
Autores principales: Hu, Sien, Job, Manna, Jenks, Samantha K., Chao, Herta H., Li, Chiang-shan R.
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Dec2019
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Imaging the effects of age on proactive control in healthy adults.
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          Hu, Sien
          Job, Manna
          Jenks, Samantha K.
          Chao, Herta H.
          Li, Chiang-shan R.
        affil: Department of Psychology, State University of New York at Oswego, SUNY Oswego, 407 Mahar Hall, 13126, Oswego, NY, USA
      sug:
        subj:
          Magnetic Resonance Imaging
          Reaction Time Physiology
          Aging
          Brain Physiology
          Frontal Lobe Physiology
          Female
          Parietal Lobe Physiology
          Male
          Adult
          Funding Source
          Human
          Adult: 19-44 years
          Female
          Male
      ab: Previous research has reported reduced efficiency in reactive inhibition, along with reduced brain activations, in older adults. The current study investigated age-related behavioral and neural changes in proactive inhibition, and whether age may influence the relationship between proactive and reactive inhibition. One-hundred-and-forty-nine adults (18 to 72 years) underwent fMRI while performing a stop signal task (SST). Proactive inhibition was defined by the sequential effect, the correlation between the estimated probability of stop signal - p(Stop) - and go trial reaction time (goRT). P(Stop) was estimated trial by trial with a Bayesian belief model; reactive inhibition was defined by the stop signal reaction time (SSRT). Behaviorally the magnitude of sequential effect was not correlated with age, replicating earlier reports of spared proactive control in older adults. Age was associated with greater activations to p(Stop) in the lateral prefrontal cortex (PFC), paracentral lobule, superior parietal lobule, and cerebellum, and activations to goRT in the inferior occipital gyrus (IOG). Granger Causality analysis demonstrated that the PFC Granger caused IOG, with the PFC-IOG connectivity significantly correlated with p(Stop) in older but not younger adults. These findings suggest that the PFC and IOG activations and PFC-IOG connectivity may compensate for proactive control during aging. In contrast, while the activations of the ventromedial prefrontal cortex and caudate head to p(Stop) were negatively correlated with SSRT, relating proactive to reactive control, these activities did not vary with age. These findings highlighted distinct neural processes underlying proactive inhibition and limited neural plasticity to support cognitive control in the aging brain.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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