Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short‐Term Memory Binding Task

Working memory, which tends to be the most vulnerable cognitive domain to aging, is thought to depend on a functional brain network for efficient communication. The dynamic communication within this network is represented by segregation and integration. This study aimed to investigate healthy aging by examining age effect on outcomes of graph theory analysis during the visual short-term memory binding (VSTMB) task. VSTMB tasks rely on the integration of visual features and are less sensitive to semantic and verbal strategies. Effects of age on neuropsychological test scores, along with the EEG graph-theoretical integration, segregation and global organization metrics in frequencies from delta to gamma band were investigated. Neuropsychological assessment showed low sensitivity as a measure of age-related changes. EEG results indicated that network architecture changed more effectively during middle age, while this effectiveness appears to vanish or show compensatory mechanisms in the elderly. These differences were further found to be related to cognitive domain scores. This study is the first to demonstrate differences in working memory network architecture across a broad age range.

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Publication Details

Journal
European Journal of Neuroscience
Published
2025-02-01
DOI
https://doi.org/10.1111/ejn.70001
Citations
2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
2.86
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article

Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short‐Term Memory Binding Task

Emre Bora, Ezgi Fide, Görsev Yener
2 citations
European Journal of Neuroscience
Functional Brain Connectivity Studies
2.86
article

Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short‐Term Memory Binding Task

Emre Bora, Ezgi Fide, Görsev Yener
article en
2 citations

Abstract

Working memory, which tends to be the most vulnerable cognitive domain to aging, is thought to depend on a functional brain network for efficient communication. The dynamic communication within this network is represented by segregation and integration. This study aimed to investigate healthy aging by examining age effect on outcomes of graph theory analysis during the visual short-term memory binding (VSTMB) task. VSTMB tasks rely on the integration of visual features and are less sensitive to semantic and verbal strategies. Effects of age on neuropsychological test scores, along with the EEG graph-theoretical integration, segregation and global organization metrics in frequencies from delta to gamma band were investigated. Neuropsychological assessment showed low sensitivity as a measure of age-related changes. EEG results indicated that network architecture changed more effectively during middle age, while this effectiveness appears to vanish or show compensatory mechanisms in the elderly. These differences were further found to be related to cognitive domain scores. This study is the first to demonstrate differences in working memory network architecture across a broad age range.

European Journal of NeuroscienceVol. 61(3)
York University (CA), Dokuz Eylül University (TR)
Reduced inequalities
Openalex Percentile: Top 12%
Functional Brain Connectivity Studies
2.86
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Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short‐Term Memory Binding Task — Emre Bora, Ezgi Fide, et al. · European Journal of Neuroscience (2025) | TGRS Research Map | TGRS