ORCID ID
0000-0003-0220-4069
Date Awarded
Summer 2018
Document Type
Thesis
Degree Name
Master of Arts (M.A.)
Department
Psychology
Advisor
Paul D Kieffaber
Committee Member
Matthew R Hilimire
Committee Member
Joshua A Burk
Abstract
This work explores the utility of using magnitude (ERSP), phase angle (ITPC), and cross-frequency coupling (PAC) indices derived from electroencephalogram (EEG) recording using spectral decomposition as unique biomarkers of Alzheimer’s Disease (AD) and amnestic mild cognitive impairment (aMCI), respectively. The experimental protocol was a visual oddball discrimination task conducted 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. Results indicate that ITPC values differ significantly between AD and MCI groups. Findings 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.
DOI
http://dx.doi.org/10.21220/s2-yck6-d905
Rights
© The Author
Recommended Citation
Friedl, Wendel Matthew, "Dissociating Alzheimer’s Disease from Amnestic Mild Cognitive Impairment using Time-Frequency Based EEG Neurometrics" (2018). Dissertations, Theses, and Masters Projects. William & Mary. Paper 1530192710.
http://dx.doi.org/10.21220/s2-yck6-d905
