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Attractiveness-related recognition bias captures the memory of the beholder.

Authors :
Zhang Y
Luo N
Hong FF
Yang CH
Xie YF
Wu JY
Wang GX
Zhao PQ
Chen JW
Aashiq K
Source :
Journal of integrative neuroscience [J Integr Neurosci] 2020 Dec 30; Vol. 19 (4), pp. 629-639.
Publication Year :
2020

Abstract

Earlier electroencephalographic studies have compared attractive and unattractive faces and between faces with other objects, such as flowers, without revealing if a recognition memory bias toward faces and flowers exists or whether humans exhibit enhanced specific components toward all attractive objects or only toward attractive faces. For objects with similar degrees of attractiveness, we sought to determine if the N170, P1, and N250 reflect upon the attractiveness of faces and flowers and demonstrated by comparing event-related potentials of humans' different perceptual mechanisms recognizing high attractive faces and high attractive flowers. The repeated high attractive faces tended to elicit a larger N170. Simultaneously, the P1 was preferentially associated with the repeated high attractive flowers, but both indicated that the repetitive enhancement effect only occurred on repeated attractive faces. Thus, differences existed in the perceptual mechanisms for processing repeated high attractive faces and repeated high attractive flowers. However, there was no significant difference in N250 between repeated faces and repeated flowers or between high attractive faces and high attractive flowers. Consequently, high attractive faces and high attractive flowers capture the beholder's memory bias in different processing stages. The N170 and P1 components are affected by attractiveness, thereby demonstrating the differences between human perceptual mechanisms in recognizing high attractive faces and objects.<br />Competing Interests: The authors declare no conflict of interest.<br /> (© 2020 Zhang et al. Published by IMR Press.)

Details

Language :
English
ISSN :
0219-6352
Volume :
19
Issue :
4
Database :
MEDLINE
Journal :
Journal of integrative neuroscience
Publication Type :
Academic Journal
Accession number :
33378837
Full Text :
https://doi.org/10.31083/j.jin.2020.04.166