Network Segregation and Integration Changes in Healthy Aging: Evidence From EEG Subbands During the Visual Short-Term...

Area of Science:

• Neuroscience
• Cognitive Science
• Gerontology

Background:

• Working memory is a cognitive function highly susceptible to aging.
• Efficient communication within brain networks, characterized by segregation and integration, underpins working memory.
• Understanding age-related changes in brain network dynamics is crucial for cognitive health.

Purpose of the Study:

• To investigate the effects of healthy aging on brain network architecture.
• To examine age-related changes in graph theory metrics during a visual short-term memory binding task.
• To explore the relationship between network dynamics and cognitive performance across different age groups.

Main Methods:

• Utilized graph theory analysis on electroencephalography (EEG) data during a visual short-term memory binding (VSTMB) task.
• Assessed neuropsychological test scores to evaluate cognitive function.
• Analyzed network integration, segregation, and global organization metrics across delta to gamma frequency bands.

Main Results:

• Neuropsychological assessments demonstrated limited sensitivity to age-related cognitive changes.
• EEG analysis revealed significant alterations in brain network architecture during middle age.
• Network changes appeared to diminish or involve compensatory mechanisms in older adults, correlating with cognitive scores.

Conclusions:

• Brain network architecture undergoes significant changes during middle age, with potential compensatory mechanisms in the elderly.
• Graph theory analysis of EEG provides a sensitive measure of age-related working memory network alterations.
• This research is the first to map working memory network architecture across a wide age spectrum.