Spatiotemporal analysis of ERP data in emotional processing

Jin Hu; Jie Tian; Lei Yang; Xiaohong Pan; Jianggang Liu

doi:10.1117/12.653238

13 March 2006 Spatiotemporal analysis of ERP data in emotional processing

Jin Hu, Jie Tian, Lei Yang, Xiaohong Pan, Jianggang Liu

Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 61431Q (2006) https://doi.org/10.1117/12.653238
Event: Medical Imaging, 2006, San Diego, California, United States

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.

Citation Download Citation

Jin Hu, Jie Tian, Lei Yang, Xiaohong Pan, and Jianggang Liu "Spatiotemporal analysis of ERP data in emotional processing", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61431Q (13 March 2006); https://doi.org/10.1117/12.653238

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available