Resting-state EEG dual biomarker for motor-cognitive function in elderly individuals.

Area of Science:

• Neuroscience
• Gerontology
• Cognitive Science

Background:

• Aging commonly leads to declines in motor and cognitive abilities.
• Neurophysiological biomarkers for combined motor-cognitive changes in aging are not well-understood.
• Existing electroencephalography (EEG) research often examines motor or cognitive function in isolation.

Purpose of the Study:

• To investigate spectral and spatial EEG features associated with both motor and cognitive function in the elderly.
• To identify neurophysiological biomarkers reflecting joint motor-cognitive decline during aging.
• To explore the role of resting-state EEG in understanding age-related functional changes.

Main Methods:

• Analysis of spectral and spatial electroencephalography (EEG) features in elderly individuals.
• Utilized power spectral density metrics across standard frequency bands.
• Employed rank-based analyses and partial correlations, controlling for age and sex.

Main Results:

• Identified significant motor × cognition interactions in EEG activity, primarily within the beta band.
• Found that beta band activity positively correlated with motor performance.
• Observed a negative association between beta activity and cognitive performance after adjusting for covariates.

Conclusions:

• Beta oscillations in EEG may serve as electrophysiological biomarkers for aging-related motor-cognitive alterations.
• These findings suggest a potential for early detection and intervention strategies targeting age-related functional declines.
• The study highlights the utility of resting-state EEG in capturing complex interactions between motor and cognitive functions in older adults.