ReviewFrontiers in psychology2021
What Can Neural Activity Tell Us About Cognitive Resources in Aging?
Review in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What Is Targeted When We Train Working Memory? Evidence From a Meta-Analysis of the Neural Correlates of Working Memory Training Using Activation Likelihood Estimation.Frontiers in psychology · 2022Pooled it
- Prefrontal cortex connectivity during right and left hand dexterity tests in younger and older adults.PloS one · 2026Article
- Cortical excitability and the aging brain: toward a biomarker of cognitive resilience.Frontiers in psychology · 2025Article
- Article
- Brain imaging of a gamified cognitive flexibility task in young and older adults.Brain imaging and behavior · 2024Article
- Health involvement modulates physician preference in the brain during online health consultation.Scientific reports · 2024Article
- Cognitive aging at work and in daily life-a narrative review on challenges due to age-related changes in central cognitive functions.Frontiers in psychology · 2023Review
- Inter- and Intra-Hemispheric Age-Related Remodeling in Visuo-Spatial Working Memory.Frontiers in aging neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
A reduction in cognitive resources has been originally proposed to account for age-related decrements in several cognitive domains. According to this view, aging limits the pool of available cognitive supplies: Compared to younger adults, elderly exhaust the resources more rapidly as task difficulty increases, hence a dramatic performance drop. Neurophysiological indexes (e.g., BOLD response and EEG activity) may be instrumental to quantify the amount of such cognitive resources in the brain and to pinpoint the stage of stimulus processing where the decrement in age-related resources is evident. However, as we discuss in this mini-review, the most recent studies on the neurophysiological markers of age-related changes lack a consistent coupling between neural and behavioral effects, which casts doubt on the advantage of measuring neural indexes to study resource deployment in aging. For instance, in the working memory (WM) domain, recent cross-sectional studies found varying patterns of concurrent age-related brain activity, ranging from equivalent to reduced and increased activations of old with respect to younger adults. In an attempt to reconcile these seemingly inconsistent findings of brain-behavior coupling, we focus on the contribution of confounding sources of variability and propose ways to control for them. Finally, we suggest an alternative perspective to explain age-related effects that implies a qualitative (instead of or along with a quantitative) difference in the deployment of cognitive resources in aging.
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