Poster C78, Sunday, March 25, 1:00-3:00 pm, Exhibit Hall C
Test-retest reliability of ERP based Neurometrics
Rachel Scrivano1, James Cole1, Paul Kieffaber1; 1College of William and Mary
Neurometrics are becoming increasingly popular for use in clinical settings as a potential diagnostic aid. For example, quantitative EEG (qEEG) has been used to make inferences about functional dissociations between clinical populations and event-related potentials (ERPs) may be used to measure subtle differences in sensory/perceptual functions. However, little is known about the test-retest reliability of ERP components and/or qEEG measures to determine their stability over time. The present study utilized a 20 minute Brief Neurometric Battery (BNB) composed of auditory and visual computerized stimuli (80 dB sounds and pairs of numbers and letters) to measure both ERP and qEEG neurometrics. The battery was administered twice with each session separated by a one-week interval. Eight ERP components 10 measures of qEEG were recorded at each session. Five of the eight ERP components measured showed significant test-retest reliability using the intraclass correlation coefficient (P300b, P50diff, N2pc, MMN_frequency, MMN_ITI ). Regional spectral power in alpha, beta, theta, and gamma ranges were also significantly reliable, as were several measures of oscillatory asymmetry. These results provide support for the use of EEG-based neurometrics in clinical applications.
Topic Area: METHODS: Electrophysiology