Poster A76, Saturday, March 24, 1:30–3:30 pm, Exhibit Hall C
Dissociating Alzheimer’s Disease from Amnestic Mild Cognitive Impairment Using Time-frequency-based EEG Measures
Wendel Friedl1, Paul Kieffaber1; 1College of William and Mary
This work explores the utility of using magnitude and phase angle indices derived from electroencephalogram (EEG) recording using spectral decomposition as unique biomarkers of Alzheimer’s Disease (AD) and amnestic mild cognitive impairment (aMCI), respectively. Experimental stimuli included both auditory and visual oddball discrimination tasks, elicited during a brief (approximately 20 minute) recording session. Participants were 60 older adults from an outpatient memory clinic diagnosed with either aMCI (n=29; M=73.0; SD=9.32) or AD (n=31; M=78.29; SD=8.28) according to NIA-AA criteria. AD-diagnosed participants exhibited significantly higher gamma-band evoked power response in both auditory and visual oddball trial conditions (FDR adjusted p-value ≤ 0.05) over time ranges consistent with common event-related potentials (ERPs) corresponding to each sensory modality (visual mismatch-negativity (vMMN) and P300 for visual oddballs, frequency and interval MMN in the auditory domain). These results contribute to a growing body of literature seeking to document illness-related abnormalities in time-frequency EEG signatures that may serve as reliable indicators of the pathophysiological processes underlying the cognitive deficits observed in AD and aMCI-afflicted populations.
Topic Area: METHODS: Electrophysiology