title: Event-related complexity analysis and its application in the detection of facial attractiveness.
abstract: 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.
authors.affiliation: State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University, Beijing, 100084, P. R. China.
authors.forename: Zhidong
authors.initials: Z
authors.lastname: Deng
authors.forename: Zimu
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D004954:Esthetics; D005071:Evoked Potentials; D005145:Face; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007600:Judgment / Q000502:physiology; D008297:Male; D009483:Neuropsychological Tests; D010775:Photic Stimulation; D012815:Signal Processing, Computer-Assisted; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: Event-related complexity; event-related potential; facial attractiveness; fractal dimension; oddball paradigm