摘要
Rhythmofbrainactivitiesrepresentsoscillationsofpostsynapticpotentialsinneocortex,thereforeitcanserveasanindicatorofthebrainactivitystate.Inordertochecktheconnectivityofbrainrhythm,thispaperdevelopsanewmethodofconstructingfunctionalnetworkbasedonphasesynchronization.Electroencephalogram(EEG)datawerecollectedwhilesubjectslookingatagreencrossintwostates,performinganattentiontaskandrelaxingwitheyes-open.TheEEGfromthesetwostateswasfilteredbythreeband-passfilterstoobtainsignalsoftheta(4-7Hz),alpha(8-13Hz)andbeta(14-30Hz)bands.Meanresultantlengthwasusedtoestimatestrengthofphasesynchronizationinthreebandstoconstructnetworksofbothstates,andmeandegreeKandclustercoefficientCofnetworkswerecalculatedasafunctionofthreshold.Theresultshowshigherclustercoefficientintheattentionstatethanintheeyes-openstateinallthreebands,suggestingthatclustercoefficientreflectsbrainstate.Inaddition,anobviousfronto-parietalnetworkisfoundintheattentionstate,whichisawell-knownattentionnetwork.Theseresultsindicatethatattentionmodulatesthefronto-parietalconnectivityindifferentmodesascomparedwiththeeyes-openstate.Takentogetherthismethodisanobjectiveandimportanttooltostudythepropertiesofneuralnetworksofbrainrhythm.
出版日期
2011年03月13日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)