An EEG study of neurophysiological markers of cognitive reserve

Abstract Background Cognitive reserve (CR) is a property of the brain trait that allows for better–than–expected cognitive performance, relative to the degree of brain change over the life course. However, the neurophysiological markers of CR require further investigation. Electroencephalography (EEG) may provide an appropriate neurophysiological marker of CR. Therefore, we tested whether activity in the dorsal attention network (DAN) and the ventral attention network (VAN), as measured during resting–state EEG, moderates the relationship between hippocampal volume and episodic memory. Method Participants from the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes, were included; all underwent determined hippocampal volume using 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 activity. We used the Johnson–Neyman technique to quantify the moderating effects of the DAN and VAN network activity on the relationship between hippocampal volume and word list memory, and to identify specific ranges of the DAN and VAN network activity with significant hippocampal–memory associations. Result A total of 449 participants were included in this study. We found significant moderation of DAN with a slope of β = ‐0.0001 (95% CI: ‐0.0002; ‐0.00001, p = 0.041) and VAN was significant, with a slope of β = 0.0001 (95% CI: 0.00001; 0.0003, p = 0.032). We found that larger hippocampal volume was associated with better memory performance, and this association became stronger the lower the DAN activity. However, when the DAN activity was > 944.9, the hippocampal volume was no longer significantly related to word list memory performance. For VAN, we found higher hippocampal volume was more strongly associated with better memory performance when VAN activity was higher. However, when the VAN activity was < 914.6, the hippocampal volume was no longer significantly associated with word list memory. Conclusion Our results suggest that attention network helps maintain memory performance in the face of age related structural decline, meeting criteria for a neural implementation of cognitive reserve.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.084989
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An EEG study of neurophysiological markers of cognitive reserve

Kouki Tomida, Yaakov Stern, Takayuki Kodama, Hiroyuki Shimada et al.
Alzheimer s & Dementia
EEG and Brain-Computer Interfaces
article

An EEG study of neurophysiological markers of cognitive reserve

Kouki Tomida, Yaakov Stern, Takayuki Kodama, Hiroyuki Shimada, Yuka Misu, Osamu Katayama, Christian Habeck, Kenji Harada, Keitaro Makino, Chiharu Nishijima, Kazuya Fujii, Annabell Coors, Sang Yoon Lee, Ryo Yamaguchi, Masanori Morikawa
article en

Abstract

Abstract Background Cognitive reserve (CR) is a property of the brain trait that allows for better–than–expected cognitive performance, relative to the degree of brain change over the life course. However, the neurophysiological markers of CR require further investigation. Electroencephalography (EEG) may provide an appropriate neurophysiological marker of CR. Therefore, we tested whether activity in the dorsal attention network (DAN) and the ventral attention network (VAN), as measured during resting–state EEG, moderates the relationship between hippocampal volume and episodic memory. Method Participants from the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes, were included; all underwent determined hippocampal volume using 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 activity. We used the Johnson–Neyman technique to quantify the moderating effects of the DAN and VAN network activity on the relationship between hippocampal volume and word list memory, and to identify specific ranges of the DAN and VAN network activity with significant hippocampal–memory associations. Result A total of 449 participants were included in this study. We found significant moderation of DAN with a slope of β = ‐0.0001 (95% CI: ‐0.0002; ‐0.00001, p = 0.041) and VAN was significant, with a slope of β = 0.0001 (95% CI: 0.00001; 0.0003, p = 0.032). We found that larger hippocampal volume was associated with better memory performance, and this association became stronger the lower the DAN activity. However, when the DAN activity was > 944.9, the hippocampal volume was no longer significantly related to word list memory performance. For VAN, we found higher hippocampal volume was more strongly associated with better memory performance when VAN activity was higher. However, when the VAN activity was < 914.6, the hippocampal volume was no longer significantly associated with word list memory. Conclusion Our results suggest that attention network helps maintain memory performance in the face of age related structural decline, meeting criteria for a neural implementation of cognitive reserve.

Alzheimer s & DementiaVol. 20(S2)
Japan Society for the Promotion of Science (JP), National Center for Geriatrics and Gerontology (JP), Kyoto Tachibana University (JP), Columbia University (US)
Openalex Percentile: Top 74%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.