Abstract
Previous studies have extensively reported an advantage of females over males in facial expression recognition. However, few studies have concerned the gender role differences. In this study, gender role differences on facial recognition were investigated by reaction time and the early event-related potentials (ERPs), N170 and Vertex Positive Potential (VPP). A total of 466 female college students were investigated by gender role inventory, and 34 of them were chosen as subjects, with equal numbers in masculinity and femininity. Subjects were asked to discriminate fearful, happy and neutral expressions explicitly in two emotional states: neutral and fearful. First, N170 and VPP showed greater activity in femininities than in masculinities. Second, subjects showed a predominance of negative face processing, as VPP was more positive in response to fearful expressions than neutral and happy expressions, but no gender role difference was found. Third, in fearful state, the reaction time was shorter, especially for fear expression, and N170 showed enhanced negativity, suggesting that fearful state could promote individuals to recognize expressions, and there was no gender role difference. In conclusion, gender role differences exist in the early stage of facial expressions recognition and femininities are more sensitive than masculinities. Our ERP results provide neuroscience evidence for differences in the early components of facial expression cognition process between the two gender roles of females.
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References
Groen, Y., et al.: Are there sex differences in ERPs related to processing empathy-evoking pictures? Neuropsychologia 51(1), 142–155 (2013)
Meyers-Levy, J., Loken, B.: Revisiting gender differences: what we know and what lies ahead. J. Consum. Psychol. 25(1), 129–149 (2015)
Stevens, J.S., Hamann, S.: Sex differences in brain activation to emotional stimuli: a meta-analysis of neuroimaging studies. Neuropsychologia 50(7), 1578–1593 (2012)
Choi, D., et al.: Gender difference in N170 elicited under oddball task. J. Physiol. Anthropol. 34, 7 (2015)
Sun, Y., Gao, X., Han, S.: Sex differences in face gender recognition: an event-related potential study. Brain Res. 1327, 69–76 (2010)
Li, H., Yuan, J., Lin, C.: The neural mechanism underlying the female advantage in identifying negative emotions: an event-related potential study. NeuroImage 40(4), 1921–1929 (2008)
Williams, L.M., et al.: The ‘when’ and ‘where’ of perceiving signals of threat versus non-threat. NeuroImage 31(1), 458–467 (2006)
Batty, M., Taylor, M.J.: Early processing of the six basic facial emotional expressions. Cogn. Brain. Res. 17(3), 613–620 (2003)
Foti, D., Hajcak, G., Dien, J.: Differentiating neural responses to emotional pictures: Evidence from temporal-spatial PCA. Psychophysiology 46, 521–530 (2009)
Bem, S.L.: Gender schema theory: a cognitive account of sex typing. Psychol. Rev. 88(4), 354–364 (1981)
Bem, S.L.: The Lenses Of Gender: Transforming The Debate On Sexual Inequality. Yale University Press, New Haven (1993)
Wood, W., et al.: Chapter two - biosocial construction of sex differences and similarities in behavior. In: Advances in Experimental Social Psychology, pp. 55–123. Academic Press (2012)
Ridgeway, C.L.: Framed before we know it: how gender shapes social relations. Gender Soc. 23(2), 145–160 (2009)
Wieser, M.J., Keil, A.: Fearful faces heighten the cortical representation of contextual threat. NeuroImage 86, 317–325 (2014)
Leleu, A., et al.: Contextual odors modulate the visual processing of emotional facial expressions: an ERP study. Neuropsychologia 77, 366–379 (2015)
Righart, R., de Gelder, B.: Rapid influence of emotional scenes on encoding of facial expressions: an ERP study. In: Social Cognitive and Affective Neuroscience, pp. 270–278. Oxford University Press, United Kingdom (2008)
Liu, D., et al.: A new sex-role inventory (CSRI-50) indicates changes of sex role among chinese college students. Acta Psychol. Sinica 43(6), 639–649 (2011)
Schaefer, A., et al.: Assessing the effectiveness of a large database of emotion-eliciting films: a new tool for emotion researchers. Cogn. Emot. 24(7), 1153–1172 (2010)
Tottenham, N., et al.: The NimStim set of facial expressions: judgments from untrained research participants. Psychiatry Res. 168(3), 242–249 (2009)
Smith, E., et al.: Electrocortical responses to NIMSTIM facial expressions of emotion. Int. J. Psychophysiol. 88(1), 17–25 (2013)
Joyce, C., Rossion, B.: The face-sensitive N170 and VPP components manifest the same brain processes: the effect of reference electrode site. Clin. Neurophysiol. 116(11), 2613–2631 (2005)
Bourne, V.J., Maxwell, A.M.: Examining the sex difference in lateralisation for processing facial emotion: does biological sex or psychological gender identity matter? Neuropsychologia 48(5), 1289–1294 (2009)
Halberstadt, J.B., Niedenthal, P.M.: Emotional state and the use of stimulus dimensions in judgment. J. Pers. Soc. Psychol. 72(5), 1017–1033 (1997)
Schmid, P.C., Schmid, M.: Mast, Mood effects on emotion recognition. Motiv. Emot. 34(3), 288–292 (2010)
Finucane, A.M., Power, M.J.: The effect of fear on attentional processing in a sample of healthy females. J. Anxiety Disord. 24(1), 42–48 (2010)
Acknowledgments
We thank Dr. Jianping Cai for providing language help. This research was financially supported by Young Scientist Fund of National Natural Science Foundation of China (NSFC) (31300924), NSFC general program (61375116), the Fund of University of Jinan (XKY1508, XKY1408).
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Song, S., Feng, J., Wu, M., Tang, B., Chen, G. (2017). Gender Role Differences of Female College Students in Facial Expression Recognition: Evidence from N170 and VPP. In: Zeng, Y., et al. Brain Informatics. BI 2017. Lecture Notes in Computer Science(), vol 10654. Springer, Cham. https://doi.org/10.1007/978-3-319-70772-3_11
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DOI: https://doi.org/10.1007/978-3-319-70772-3_11
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