Post-task modulation of resting state EEG differentiates MCI patients from controls

Area of Science:

• Neuroscience
• Cognitive Science
• Gerontology

Background:

• Early identification of cognitive decline is crucial for clinical trial enrollment and care planning.
• Mild cognitive impairment (MCI) affects a significant portion of the aging population.
• Developing sensitive biomarkers for cognitive decline is a key research priority.

Purpose of the Study:

• To investigate the utility of resting-state electroencephalography (rsEEG) in detecting mild cognitive impairment (MCI).
• To differentiate between cognitively typical individuals, amnestic MCI (aMCI), and nonamnestic MCI (naMCI) using rsEEG.
• To assess changes in brain activity following a cognitive challenge as a potential biomarker for cognitive decline.

Main Methods:

• Recruited a sample of older adults (ages 60-90) including cognitively healthy (HC), aMCI, and naMCI groups.
• Acquired two resting-state electroencephalograms (rsEEG) with eyes closed, separated by a visual motion discrimination task.
• Calculated percentage change in rsEEG current source densities across frequency bands and brain regions before and after the task.

Main Results:

• No significant differences in pre-task rsEEG were observed between groups.
• Post-task rsEEG revealed significantly greater declines in current density at temporal and central sites for aMCI compared to HC.
• naMCI exhibited significant parietal declines in current density post-task compared to HC.

Conclusions:

• Post-cognitive challenge rsEEG is a novel and effective method for discriminating individuals with MCI from those without.
• This rsEEG approach demonstrates sensitivity to cognitive decline in older adults.
• Changes in brain electrical activity following a cognitive task may serve as a valuable biomarker for early detection of MCI.