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Proceedings Paper

Combination of PCA and LORETA for sources analysis of ERP data: an emotional processing study
Author(s): Jin Hu; Jie Tian; Lei Yang; Xiaohong Pan; Jiangang Liu
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Paper Abstract

The purpose of this paper is to study spatiotemporal patterns of neuronal activity in emotional processing by analysis of ERP data. 108 pictures (categorized as positive, negative and neutral) were presented to 24 healthy, right-handed subjects while 128-channel EEG data were recorded. An analysis of two steps was applied to the ERP data. First, principal component analysis was performed to obtain significant ERP components. Then LORETA was applied to each component to localize their brain sources. The first six principal components were extracted, each of which showed different spatiotemporal patterns of neuronal activity. The results agree with other emotional study by fMRI or PET. The combination of PCA and LORETA can be used to analyze spatiotemporal patterns of ERP data in emotional processing.

Paper Details

Date Published: 13 March 2006
PDF: 8 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61431R (13 March 2006); doi: 10.1117/12.654354
Show Author Affiliations
Jin Hu, Key Lab. of Complex Systems and Intelligence Science (China)
Jie Tian, Key Lab. of Complex Systems and Intelligence Science (China)
Graduate Univ. (China)
Lei Yang, Key Lab. of Complex Systems and Intelligence Science (China)
Xiaohong Pan, Beijing Normal Univ. (China)
Jiangang Liu, Key Lab. of Complex Systems and Intelligence Science (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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