title: [Improving source localization of ERPs in the GO/NOGO task by modeling of their cross-covariance structure].
abstract: We studied 19-channel event-related potentials (ERPs) during the GO/NOGO task in 517 healthy subjects. Decomposition of multi-channel ERP into independent components was performed with a method based on modeling the cross-covariance structure of the transient response. The results show that this method allows us to obtain low-correlated components with acceptable reliability. The identified components have been associated with psychological processes such as the attended sensory mismatch operation, the decision-making on the subsequent action, the action inhibition operation, the conflict monitoring operation and others. In conclusion, the separation of the ERP recording into independent components and the use of the sLORETA helps localizing sources of ERPs more accurately than the conventional analysis of the ERP.
authors.forename: V A
authors.initials: VA
authors.lastname: Ponomarev
authors.forename: Iu D
authors.initials: IuD
authors.lastname: Kropotov
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011597:Psychomotor Performance / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology