Electromagnetic brain imaging based on standardized resting-state networks

Author

Xu Lei

Author_Institution

Key Lab. of Cognition & Personality, Southwest Univ., Chongqing, China

fYear

2012

fDate

16-18 Oct. 2012

Firstpage

40

Lastpage

44

Abstract

We have recently proposed a electromagnetic brain imaging based on multiple fMRI spatial priors: NEtwork-based SOurce Imaging (NESOI) [Lei et al. "fMRI Functional Networks for EEG Source Imaging," Human Brain Mapping, vol. 32, pp. 1141-1160, 2011]. In our previous method, the spatial priors is extracted from the fMRI dataset on the same subject within the same paradigm. In this paper, we present a resting-state NEtwork-based SOurce Imaing (rsNESOI), which includes fMRI priors without extra fMRI scan. While simultaneous electroencephalogram (EEG) recording within fMRI scanner is available currently, rsNESOI is more convenient for EEG source reconstruction. The real data test suggests that rsNESOI is distinctly valuable in improvement of distributed source localization in contrast to the previous methods.

Keywords

biomedical MRI; electroencephalography; feature extraction; image reconstruction; medical image processing; EEG recording; EEG source reconstruction; distributed source localization improvement; electromagnetic brain imaging; fMRI dataset; fMRI prior; fMRI scanner; multiple fMRI spatial prior; network-based source imaging; real data test; resting-state NESOI; rsNESOI; simultaneous electroencephalogram; spatial prior extraction; standardized resting-state network; EEG; EEG source imaging; brain connectivity; fMRI; resting-state networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4673-1183-0

Type

conf

DOI

10.1109/BMEI.2012.6512901

Filename

6512901