DocumentCode :
3210658
Title :
Multi-domain feature analysis for depression: A study of N170 in time, frequency and spatial domains simultaneously
Author :
Qiangfeng Zhao ; Junfeng Sun ; Fengyu Cong ; Shan Chen ; Yingying Tang ; Shanbao Tong
Author_Institution :
Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
5986
Lastpage :
5989
Abstract :
This study investigated the differences in event-related potentials (ERPs) between depression and normal control groups by using the cue-target paradigm with facial expressions as stimuli. Conventional ERPs analysis did not show a significant difference in the N170 amplitude or latency between the two groups. However, the multi-domain feature analysis of N170 by nonnegative tensor factorization (NTF) indicated that N170 in depression group had lower power compared with the normal control group for all three different emotional (i.e., happy, neutral, and sad) facial stimuli (Q ≤ 0.05). The results revealed the perceptual early-stage dysfunction in face processing for depression.
Keywords :
electroencephalography; emotion recognition; face recognition; feature extraction; medical disorders; medical image processing; psychology; ERP; N170; NTF; cue-target paradigm; depression; emotional facial stimuli; event-related potentials; face processing; facial expressions; frequency domain; multidomain feature analysis; nonnegative tensor factorization; spatial domain; time domain; Analysis of variance; Educational institutions; Electroencephalography; Face; Feature extraction; Tensile stress; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610916
Filename :
6610916
Link To Document :
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