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Proceedings Paper

Spatiotemporal analysis of ERP data in emotional processing
Author(s): Jin Hu; Jie Tian; Lei Yang; Xiaohong Pan; Jianggang Liu
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Paper Abstract

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.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61431Q (13 March 2006); doi: 10.1117/12.653238
Show Author Affiliations
Jin Hu, Institute of Automation (China)
Jie Tian, Institute of Automation (China)
Graduate School (China)
Lei Yang, Institute of Automation (China)
Xiaohong Pan, Beijing Normal Univ. (China)
Jianggang Liu, Institute of Automation (China)

Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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