@inproceedings{ed3a1b9a55784314a7578a33c3569548,
title = "Combination of PCA and LORETA for sources analysis of ERP data: An emotional processing study",
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.",
keywords = "Emotional processing, LORETA, Principal component analysis (PCA)",
author = "Jin Hu and Jie Tian and Lei Yang and Xiaohong Pan and Jiangang Liu",
year = "2006",
doi = "10.1117/12.654354",
language = "英语",
isbn = "0819461865",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2006",
note = "Medical Imaging 2006: Physiology, Function, and Structure from Medical Images ; Conference date: 12-02-2006 Through 14-02-2006",
}