000210004 001__ 210004
000210004 005__ 20190317000225.0
000210004 0247_ $$2doi$$a10.1016/j.neuroimage.2015.07.012
000210004 02470 $$2ISI$$a000362025000007
000210004 037__ $$aARTICLE
000210004 245__ $$aDiscriminant Brain Connectivity Patterns of Performance Monitoring at Average and Single-Trial Levels
000210004 269__ $$a2015
000210004 260__ $$bElsevier$$c2015$$aSan Diego
000210004 300__ $$a11
000210004 336__ $$aJournal Articles
000210004 520__ $$aElectrophysiological and neuroimaging evidence suggest the existence of common mechanisms for monitoring erroneous events, independent of the source of errors. Previous works have described modulations of theta activity in the medial frontal cortex elicited by either self-generated errors or erroneous feedback. In turn, similar patterns have recently been reported to appear after the observation of external errors. We report cross-regional interactions after observation of errors at both average and single-trial levels. We recorded scalp electroencephalography (EEG) signals from 15 subjects while monitoring the movement of a cursor on a computer screen. Connectivity patterns, estimated using multivariate auto-regressive models, show increased error-related modulations of the information transfer in the theta and alpha bands between frontocentral and frontolateral areas. Conversely, a decrease of connectivity in the beta band is also observed. These network patterns are similar to those elicited by self-generated errors. However, since no motor response is required, they appear to be related to intrinsic mechanisms of error processing, instead of being linked to co-activation of motor areas. Noticeably, we demonstrate that cross-regional interaction patterns can be estimated on a trial-by-trial basis. These trial-specific patterns, consistent with the multi-trial analysis, convey discriminant information on whether a trial was elicited by observation of an erroneous action. Overall, our study supports the role of frequency-specific modulations in the medial frontal cortex in coordinating cross-regional activity during cognitive monitoring at a single-trial basis.
000210004 6531_ $$aMonitoring Error
000210004 6531_ $$aEEG
000210004 6531_ $$aBrain Connectivity
000210004 6531_ $$aAnterior Cingulate Cortex
000210004 6531_ $$aSingle-trial Classification
000210004 6531_ $$aMultivariate Auto-regressive Model
000210004 6531_ $$a[CNBI-NISSAN]
000210004 700__ $$0245439$$g209107$$aZhang, Huaijian
000210004 700__ $$0241256$$g137762$$aChavarriaga, Ricardo
000210004 700__ $$aMillán, José del R.$$g149175$$0240030
000210004 773__ $$j120$$tNeuroImage$$q64-74
000210004 8564_ $$uhttp://www.sciencedirect.com/science/article/pii/S1053811915006217$$zURL
000210004 8564_ $$uhttps://infoscience.epfl.ch/record/210004/files/Discriminant%20Brain%20Connectivity%20Patterns%20of%20Performance%20Monitoring%20at%20Average%20and%20Single_trial%20Levels.pdf$$zn/a$$s2724225$$yn/a
000210004 909C0 $$xU12103$$0252018$$pCNBI
000210004 909C0 $$pCNP$$xU12599$$0252517
000210004 909CO $$qGLOBAL_SET$$pSTI$$particle$$ooai:infoscience.tind.io:210004
000210004 917Z8 $$x209107
000210004 917Z8 $$x149175
000210004 917Z8 $$x137762
000210004 917Z8 $$x137762
000210004 917Z8 $$x149175
000210004 937__ $$aEPFL-ARTICLE-210004
000210004 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000210004 980__ $$aARTICLE