A new method of spatio-temporal topographic mapping by correlation coefficient of K-means cluster.

Abstract:

:It would be of the utmost interest to map correlated sources in the working human brain by Event-Related Potentials (ERPs). This work is to develop a new method to map correlated neural sources based on the time courses of the scalp ERPs waveforms. The ERP data are classified first by k-means cluster analysis, and then the Correlation Coefficients (CC) between the original data of each electrode channel and the time course of each cluster centroid are calculated and utilized as the mapping variable on the scalp surface. With a normalized 4-concentric-sphere head model with radius 1, the performance of the method is evaluated by simulated data. CC, between simulated four sources (s (1)-s (4)) and the estimated cluster centroids (c (1)-c (4)), and the distances (Ds), between the scalp projection points of the s (1)-s (4) and that of the c (1)-c (4), are utilized as the evaluation indexes. Applied to four sources with two of them partially correlated (with maximum mutual CC = 0.4892), CC (Ds) between s (1)-s (4) and c (1)-c (4) are larger (smaller) than 0.893 (0.108) for noise levels NSR

journal_name

Brain Topogr

journal_title

Brain topography

authors

Li L,Yao D

doi

10.1007/s10548-006-0017-7

subject

Has Abstract

pub_date

2007-07-01 00:00:00

pages

161-76

issue

4

eissn

0896-0267

issn

1573-6792

journal_volume

19

pub_type

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