Int J Neural Syst - Event-related complexity analysis and its application in the detection of facial attractiveness.

Tópicos

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{ measur(2081) correl(1212) valu(896) }
{ network(2748) neural(1063) input(814) }
{ method(1557) propos(1049) approach(1037) }
{ compound(1573) activ(1297) structur(1058) }
{ data(1737) use(1416) pattern(1282) }
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{ data(2317) use(1299) case(1017) }
{ gene(2352) biolog(1181) express(1162) }
{ can(981) present(881) function(850) }
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{ medic(1828) order(1363) alert(1069) }
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{ sampl(1606) size(1419) use(1276) }
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{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

In this study, an event-related complexity (ERC) analysis method is proposed and used to explore the neural correlates of facial attractiveness detection in the context of a cognitive experiment. The ERC method gives a quantitative index for measuring the diverse brain activation properties that represent the neural correlates of event-related responses. This analysis reveals distinct effects of facial attractiveness processing and also provides further information that could not have been achieved from event-related potential alone.

Resumo Limpo

studi eventrel complex erc analysi method propos use explor neural correl facial attract detect context cognit experi erc method give quantit index measur divers brain activ properti repres neural correl eventrel respons analysi reveal distinct effect facial attract process also provid inform achiev eventrel potenti alon

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