DocumentCode
2782506
Title
Multiple cortical representation methods for functional localization in the human brain
Author
Yan, Tianyi ; Wang, Bin ; Wu, Jinglong ; Yu, Bing ; Guo, Qiyong
Author_Institution
Sch. of Life Sci. & Technol., Okayama Univ., Okayama, Japan
fYear
2011
fDate
7-10 Aug. 2011
Firstpage
1566
Lastpage
1571
Abstract
Using publicly available software packages (BrainVoyager, SPM, AFNI and FreeSurfer), performing multiple cortical representation methods for most of the necessary processing steps in fMRI data analyses. We will argue that specifying where in the brain activation has occurred is both conceptually and technically more difficult than has been generally assumed. In this report, we briefly presented methods related to the most commonly used analysis pipeline. (1) An automated procedure was performed to localize the borders between early visual areas, and retinotopic maps were projected onto flattened cortical surface representations obtained by BrainVoyager Qx 2.0.7. (2) Attention and face cortex response areas were defined by SPM8. (3) Functional data analyses were performed to integrate the cortex surface by AFNI and FreeSurfer. The results presenting the most suitable and valuable data processing applications using three of the types of software described above.
Keywords
biomedical MRI; brain; medical image processing; neurophysiology; public domain software; visual evoked potentials; AFNI; BrainVoyager; FreeSurfer; SPM; attention area; border localisation; brain activity localisation; cortical representation methods; early visual areas; fMRI data analysis; face cortex response area; flattened cortical surface representations; functional data analysis; functional localization; human brain; publicly available software packages; retinotopic maps; Face; Image reconstruction; Magnetic resonance imaging; Software; Surface reconstruction; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2011 International Conference on
Conference_Location
Beijing
ISSN
2152-7431
Print_ISBN
978-1-4244-8113-2
Type
conf
DOI
10.1109/ICMA.2011.5986227
Filename
5986227
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