AEP modeling and age trends

Proposal details

Title: AEP modeling and age trends
Research Area(s): Brain Modeling
Background: Successful fits of the Robinson et al. model have been performed on grand mean background auditory evoked potential (AEP) data for normal subjects, but so far this technique has not yet been applied to target data, individuals, or age trends. The latency of various features of the AEP also provide constraints on the signal propagation time from the thalamus to cortex and vice versa.
Aims: This project aims to determine the model parameters for a large set of AEP data for both backgrounds and targets. AEPs show marked age trends, including an inversion of the N1 feature in young children. Model-based fitting will hopefully shed light on the physiological basis of these changes. Additionally, peak latencies and trends will be used to determine the thalamocortical and corticothalamic delays.
Method: Individual and grand mean AEP data for both backgrounds and targets will be fitted using the Robinson et al. corticothalamic model using the method outlined in a forthcoming paper. Age trends obtained by fitting individual AEPs will be compared to age trends obtained by fitting the model to AEPs averaged over individuals within narrow age ranges. This will provide estimates of the uncertainties in the parameters and trends. Comparison of the latencies of different AEP features, coupled with knowledge of their physiological basis, will yield information on the propagation times between the thalamus and cortex; these results will be tested by looking at changes in latencies with age.