Spatiotemporal analysis of ERP data in emotional processing

被引：0
|
作者：
Hu, Jin [1 ]
Tian, Jie [1 ,2 ]
Yang, Lei
Pan, Xiaohong [3 ]
Liu, Jiangang [1 ]
机构：
[1] Chinese Acad Sci, Med Image Proc Grp, Inst Automat, POB 2728, Beijing 100080, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
[3] Beijing Normal Univ, States Key Lab Cognit Neurosci & Learning, Beijing 100871, Peoples R China
来源：
MEDICAL IMAGING 2006: PHYSIOLOGY, FUNCTION, AND STRUCTURE FROM MEDICAL IMAGES PTS 1 AND 2 | 2006年 / 6143卷
基金：
中国国家自然科学基金;
关键词：
event-related potential (ERP); fuzzy k-mean clustering; microstate;
D O I：
10.1117/12.653238
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The aim of this paper is to analyze spatiotemporal patterns of Event-related potential (ERP) in emotional processing by using fuzzy k-means clustering method to segment ERP data into microstates.108 pictures (categorized as positive, negative and neutral) were presented to 24 healthy, right-handed subjects while 128-channel EEG data were recorded. For each subject, 3 artifact-free ERPs were computed under each condition. A modified fuzzy k-mean clustering method based on shape similarity is applied to the grand mean ERPs and the statistical analysis is performed to define the significance of each segmentation map. In the results, positive and negative conditions showed different spatiotemporal patterns of ERP. The results were in accord with other emotional study by fMRI or PET.
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页数：8
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