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Predicting Neuroticism Based on EEG Power Oscillations: Fearful Face as a Mediator Role

Journal Name:

  • International Journal of Medical Research & Health Sciences

Publication Year:

  • 2018

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
The aim of present study was to clarify the relationships between dynamic fearful face and EEG oscillations activities to predict neuroticism in healthy people. The participants included twenty-five undergraduate students (mean age=21.36, SD=23.39) at Ferdowsi University of Mashhad that were selected as volunteers. In order to analyze the data, path analysis was applied in AMOS software. The results showed that the predictive model of neuroticism is fit respect to the mediator role of fear and the criterion role of EEG oscillations. The results revealed that EEG is a fit device for predicting fearful and neuroticism and it can be used for further pathologically researches.
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REFERENCES

References: 

[1] DeYoung, Colin G. “Personality neuroscience and the biology of traits.” Social and Personality Psychology
Compass, Vol. 4, No. 12, 2010, pp. 1165-80.
[2] DeYoung, Colin G., and Jeremy R. Gray. “Personality neuroscience: Explaining individual differences in affect,
behaviour and cognition.” The Cambridge Handbook of Personality Psychology, 2009, pp. 323-46.
[3] Doty, Tracy J., et al. “Fearful face detection sensitivity in healthy adults correlates with anxiety-related traits.”
Emotion, Vol. 13, No. 2, 2013, p. 183.
[4] Corden, Ben, et al. “Fear recognition ability predicts differences in social cognitive and neural functioning in
men.” Journal of Cognitive Neuroscience, Vol. 18, No. 6, 2006, pp. 889-97.
[5] Sato, Wataru, et al. “Enhanced neural activity in response to dynamic facial expressions of emotion: an fMRI
study.” Cognitive Brain Research, Vol. 20, No. 1, 2004, pp. 81-91.
[6] Haxby, James V., Elizabeth A. Hoffman, and M. Ida Gobbini. “The distributed human neural system for face
perception.” Trends in Cognitive Sciences, Vol. 4, No. 6, 2000, pp. 223-33.
[7] Putman, Peter, et al. “EEG theta/beta ratio in relation to fear-modulated response-inhibition, attentional control,
and affective traits.” Biological Psychology, Vol. 83, No. 2, 2010, pp. 73-78.
[8] Haxby, James V., Elizabeth A. Hoffman, and M. Ida Gobbini. “Human neural systems for face recognition and
social communication.” Biological psychiatry vol. 51, no. 1, 2002, pp. 59-67.
[9] Gobbini, M. Ida, and James V. Haxby. “Neural systems for recognition of familiar faces.” Neuropsychologia,
Vol. 45, No. 1, 2007, pp. 32-41.
[10] Knyazev, Gennadij G., et al. “Personality, psychopathology and brain oscillations.” Personality and Individual
Differences, Vol. 35, No. 6, 2003, pp. 1331-49.
[11] Barry, Robert J., et al. “EEG differences between eyes-closed and eyes-open resting conditions.” Clinical
Neurophysiology, Vol. 118, No.12, 2007, pp. 2765-73.
[12] Gale, Anthony. “Electroencephalographic studies of extraversion-introversion: A case study in the
psychophysiology of individual differences.” Personality and Individual Differences, Vol. 4, No. 4, 1983, pp.
371-80.
[13] Schmidtke, Jennifer Isom, and Wendy Heller. “Personality, affect and EEG: predicting patterns of regional brain
Farahi, et al. Int J Med Res Health Sci 2018, 7(1): 92-97
97
activity related to extraversion and neuroticism.” Personality and Individual Differences, Vol. 36, No. 3, 2004,
pp. 717-32.
[14] Schmidt, Louis A., and Laurel J. Trainor. “Frontal brain electrical activity (EEG) distinguishes valence and
intensity of musical emotions.” Cognition & Emotion, Vol. 15, No. 4, 2001, pp. 487-500.
[15] Coleman, Elle, et al. “Clarifying the Relationship between Intrinsic Brain Activity and Neurotic Personality.”
Frontiers in Human Neuroscience, 2016.
[16] Gale, Anthony, et al. “Extraversion-introversion, neuroticism-stability, and EEG indicators of positive and
negative empathic mood.” Personality and Individual Differences, Vol. 30, No. 3, 2001, pp. 449-61.
[17] McCrae, Robert R., and Paul T. Costa Jr. “A five-factor theory of personality.” Handbook of Personality: Theory
and Research, Vol. 2, 1999, pp. 139-53.
[18] Wingenbach, Tanja SH, Chris Ashwin, and Mark Brosnan. “Validation of the Amsterdam Dynamic Facial
Expression Set-Bath Intensity Variations (ADFES-BIV): A set of videos expressing low, intermediate, and high
intensity emotions.” PloS one, Vol. 11, No. 1, 2016, p. e0147112.
[19] Canli, Turhan, et al. “An fMRI study of personality influences on brain reactivity to emotional stimuli.”
Behavioral Neuroscience, Vol. 115, No. 1, 2001, p. 33.
[20] Coan, James A., and John JB Allen. “Frontal EEG asymmetry as a moderator and mediator of emotion.”
Biological Psychology, Vol. 67, No. 1, 2004, pp. 7-50.
[21] Robinson, David L. “The technical, neurological, and psychological significance of ‘alpha’,‘delta’and
‘theta’waves confounded in EEG evoked potentials: a study of peak amplitudes.” Personality and Individual
Differences, Vol. 28, No. 4, 2000, pp. 673-93.
[22] Robinson, David L. “How brain arousal systems determine different temperament types and the major dimensions
of personality.” Personality and Individual Differences, Vol. 31, No. 8, 2001, pp. 1233-59.
[23] Knyazev, Gennadij G., et al. “Personality, psychopathology and brain oscillations.” Personality and Individual
Differences, Vol. 35, No. 6, 2003, pp. 1331-49.
[24] Knyazev, Gennady G. “EEG correlates of personality types.” Netherlands Journal of Psychology, Vol. 62, No.
2, 2006, pp. 78-87.
[25] Enoch, Mary-Anne, et al. “Relationship of genetically transmitted alpha EEG traits to anxiety disorders and
alcoholism.” American Journal of Medical Genetics Part A, Vol. 60, No. 5, 1995, pp. 400-08.

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