Title
Localization Of Emotional Affect In Electrocorticography Using A Model Based Discrimination Measure
Abstract
Detailed recordings of brain activity acquired using Electrocorticography (ECoG) sensors offer an opportunity to explore the activity of the human brain. We study the information content of ECoG array data with respect to the emotional affect of the subject. Lognormal spectral models are estimated on data from patients undergoing monitoring for intractable epilepsy. A model based approach for mapping discriminative locations is developed for this problem. Differing spatial sensitivity in the ECoG array allows for retrospective analysis of localized brain activity. Our discriminability measure evaluates the information content at each sensor location relative to Positive and Negative displays of emotional affect. This measure can be approximated by a symmetrized Kullback-Leibler divergence between the estimated models.
Year
DOI
Venue
2019
10.1109/IEEECONF44664.2019.9048944
CONFERENCE RECORD OF THE 2019 FIFTY-THIRD ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS
DocType
ISSN
Citations 
Conference
1058-6393
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Alan D. Kaplan101.01
Qi Cheng244863.05
Piyush Karande301.01
Elizabeth Tran400.68
Maryam Bijanzadeh500.68
Heather E. Dawes611.71
Edward Chang712.71