ArticleFrontiers in aging neuroscience2024
Detection of neurophysiological markers of cognitive reserve: an EEG study.
Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Application of Electroencephalography (EEG) in Combat Sports-Review of Findings, Perspectives, and Limitations.Journal of clinical medicine · 2025Review
- Neural Oscillatory Mechanisms Underlying Step Accuracy: Integrating Microstate Segmentation with eLORETA-Independent Component Analysis.Brain sciences · 2025Article
- Parietal alpha and theta power predict cognitive training gains in middle-aged adults.Frontiers in aging neuroscience · 2025Article
- Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task.NeuroImage. Clinical · 2025Article
- Linking cognitive reserve to neuropsychological outcomes and resting-state frequency bands in healthy aging.Frontiers in aging neuroscience · 2025Article
- Changes in the Spatial Structure of Synchronization Connections in EEG During Nocturnal Sleep Apnea.Clocks & sleep · 2024Article
- Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- Exploring small-world brain connectivity in aging and its relationship with cognitive reserve.Alzheimer's & dementia (New York, N. Y.)Article
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Authors and funding
15 authors.
Funding
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Abstract
Background and objectives: Cognitive reserve (CR) is a property of the brain that allows for better-than-expected cognitive performance relative to the degree of brain change over the course of life. However, neurophysiological markers of CR remain under-investigated. Electroencephalography (EEG) features may function as suitable neurophysiological markers of CR. To assess this, we investigated whether the dorsal attention network (DAN) and ventral attention network (VAN) activities, as measured during resting-state EEG, moderate the relationship between hippocampal volume and episodic memory. Methods: Participants were recruited as part of the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. Hippocampal volume was determined using magnetic MRI, and episodic memory was measured using word lists. After testing the effect of hippocampal volume on memory performance using multiple regression analysis, we evaluated the interactions between hippocampal volume and DAN and VAN network activities. We further used the Johnson-Neyman technique to quantify the moderating effects of DAN and VAN network activities on the relationship between hippocampal volume and word list memory, as well as to identify specific ranges of DAN and VAN network activity with significant hippocampal-memory association. Results: A total of 449 participants were included in this study. Our analysis revealed significant moderation of DAN with a slope of β = -0.00012 (95% CI: -0.00024; -0.00001, Discussion: Our results suggest that attentional networks help to maintain memory performance in the face of age-related structural decline, meeting the criteria for the neural implementation of cognitive reserve.
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