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Regional homogeneity approach to fMRI data analysis (2004)
| Venue: | NeuroImage |
| Citations: | 88 - 9 self |
BibTeX
@ARTICLE{Zang04regionalhomogeneity,
author = {Yufeng Zang and A Tianzi Jiang and Yingli Lu and A Yong He and Lixia Tian A},
title = {Regional homogeneity approach to fMRI data analysis},
journal = {NeuroImage},
year = {2004},
pages = {394--400}
}
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Abstract
Kendall’s coefficient concordance (KCC) can measure the similarity of a number of time series. It has been used for purifying a given cluster in functional MRI (fMRI). In the present study, a new method was developed based on the regional homogeneity (ReHo), in which KCC was used to measure the similarity of the time series of a given voxel to those of its nearest neighbors in a voxel-wise way. Six healthy subjects performed left and right finger movement tasks in event-related design; five of them were additionally scanned in a rest condition. KCC was compared among the three conditions (left finger movement, right finger movement, and the rest). Results show that bilateral primary motor cortex (M1) had higher KCC in either left or right finger movement condition than in rest condition. Contrary to prediction and to activation pattern, KCC of ipsilateral M1 is significantly higher than contralateral M1 in unilateral finger movement conditions. These results support the previous electrophysiologic findings of increasing ipsilateral M1 excitation during unilateral movement. ReHo can consider as a complementary method to model-driven method, and it could help reveal the complexity of the human brain function. More work is needed to understand the neural mechanism underlying ReHo.
Keyphrases
regional homogeneity approach data analysis rest condition finger movement time series bilateral primary motor cortex new method functional mri right finger movement task unilateral finger movement condition previous electrophysiologic finding activation pattern regional homogeneity event-related design neural mechanism voxel-wise way ipsilateral m1 excitation complementary method six healthy subject coefficient concordance human brain function right finger movement condition contralateral m1 present study model-driven method ipsilateral m1 unilateral movement
