title: Multivariate correlation coefficient decomposition and its application to visual evoked potentials.
abstract: Interactions between cortical areas are crucial for cognitive functioning. We develop a method, called Multivariate Correlation Coefficient Decomposition, to access such interactions.By decomposing multi-channel mutual correlation coefficient(CC) matrix into individual CC, which is taken as mapping parameter, this method can map temporarily correlated sources activities. Both computer simulation and real Visual Evoked Potentials(VEP) test show that, compared to traditional power mapping, the presented method is sensitive to the combination of the correlated brain sources with different energy levels. Thus, it is of theoretical significance and of practical value.
authors.affiliation: Student Member,IEEE, Dept. of BiomedicalEngineering, Chengdu Medical Collge.(Phone:86-28-87676456; email: zhang.junpeng@ieee.org).
authors.forename: Zhang
authors.initials: Z
authors.lastname: Junpeng
authors.forename: Ma
authors.initials: M
authors.lastname: Dajun
authors.forename: Cui
authors.initials: C
authors.lastname: Yuan
authors.forename: Yong
authors.initials: Y
authors.lastname: Liujun