Abstract| Volume 10, ISSUE 2, P480-481, March 2017

Relationships across, alpha/beta EEG power, learning and memory, and TMS-based neurophysiology measures in persons with Alzheimer’s disease, Type-2 diabetes, and controls

      Introduction: Spectral power analyses of resting-state electroencephalography (rs-EEG) yield spatially-distributed networks of coherently oscillating activity. These patterns are thought to represent the brain’s intrinsic connectivity and can predict individual cognitive abilities and inform on pathological brain states. The present study investigates rs-EEG and its relationship to both TMS-based neurophysiological measures and learning and memory function in older adults with Alzheimer’s disease (AD), type-2 diabetes mellitus (T2DM), and non-AD/non-T2DM controls.
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