[The multifactor method of EEG separation into the cortical and deep components]статья
Информация о цитировании статьи получена из
Web of Science
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 27 мая 2015 г.
Аннотация:2002 Многофакторный метод разделения ЭЭГ на корковую и глубинную составляющие.
Вартанов А.В.
Журнал высшей нервной деятельности им. И. П. Павлова, том 52, № 1, с. 111-118.
Brain
physiology
Brain Mapping
Electroencephalography
methods
Humans
Software
%X A new method of separation of multichannel brain electrical activity into cortical and subcortical components with the help of multifactor analysis is proposed. The method provides a means for isolation and, consequently, more reliable localization of sources of electrical activity not only in deep brain structures (on the basis of the dipole model) but also on the cortical surface. The proposed method does not depend on the rotation and interpretation of factors, and no data losses occur. The mufasel algorithm is based on integration of all selected factors (within a particular EEG or EP time segment) in two groups using a statistical criterion, which defines general and specific factors. It is assumed that general factors loaded with highly correlated derivations predominantly describe the electrical activity of deep brain structures, whereas specific factors loaded by the dynamics of electrical activity in individual derivations, reflect the integrated activity of cortical brain structures.
%O 0044-4677 (Print) 0044-4677 (Linking) English Abstract Journal Article
%O http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=11899660
%O Department of Psychophysiology, Lomonosov State University, Moscow.