DocumentCode
2501550
Title
Combination of nonlinear registration methods with high resolution fMRI for a fine exploration of human primary motor hand area
Author
Pizzagalli, Fabrizio ; Auzias, Guillaume ; Delon-Martin, Chantal ; Dojat, Michel
Author_Institution
INSERM, Grenoble Inst. des Neurosciences, Grenoble, France
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
6989
Lastpage
6992
Abstract
Functional investigation of human hand representation in the motor area M1 requires high resolution functional imaging, to finely separate activation in M1, and a perfect alignment of individual central sulci to improve functional areas overlap and significance of statistical parametric maps obtained from different hand movements. Based on anatomical measures, we show how recent global diffeomorphic registration techniques impact positively on the alignment of sulcal folds in M1 area. With functional measures, we evaluate their effect on the robust detection and localization of group brain activation for flexion/extension of right and left thumbs/fingers and wrists. The methodology we propose opens the way to a non invasive functional exploration of the human hand motor cortex at the group level under different normal, pathological or after rehabilitative conditions.
Keywords
biomedical MRI; brain; diseases; image registration; medical image processing; neurophysiology; patient rehabilitation; central sulci; fingers; flexion; functional imaging; global diffeomorphic registration techniques; group brain activation; hand movements; high-resolution fMRI; human hand motor cortex; human primary motor hand area; noninvasive functional exploration; nonlinear registration methods; pathological condition; rehabilitative condition; robust detection; statistical parametric maps; thumbs; wrists; Brain; Humans; Magnetic resonance imaging; Spatial resolution; Statistical analysis; Thumb; Wrist; Adult; Algorithms; Brain; Brain Mapping; Cerebral Cortex; Hand; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Anatomic; Models, Statistical; Motor Cortex; Nonlinear Dynamics; Probability; Reproducibility of Results;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091767
Filename
6091767
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