Mathematical Cognitive Ability Predicted by Amplitude of Low Frequency Fluctuate in Patients with Brain Dam-age
10.3969/j.issn.1006-9771.2015.06.009
- VernacularTitle:脑损伤静息态低频振幅预测数学认知能力受损情况
- Author:
Ying ZHAO
;
Qiang WANG
;
Rong SUN
;
Xiaoxia DU
;
Luping SONG
;
Lingjuan CHEN
;
Yanchao BI
;
Zaizhu HAN
- Publication Type:Journal Article
- Keywords:
brain damage;
resting-state;
amplitude of low frequency fluctuation;
mathematical cognition
- From:
Chinese Journal of Rehabilitation Theory and Practice
2015;21(6):670-676
- CountryChina
- Language:Chinese
-
Abstract:
Objective To find biological markers to predict the mathematical cognitive ability in order to set patients free from the pain and time-consuming behavioral tests. Methods 86 patients with stroke or brain traumatic injuries were recruited and acquired T1 and rest-ing-state functional MRI imaging data. And a mathematical task (7 calculation items, 2 counting items) and a word-reading task (140 items) was also finished. The partial correlative analysis was made between the score of mathematical task and the amplitude of low frequency fluc-tuation of each voxel of the whole brain with the word-reading performance as controlling task, and AlphaSim correction method was used with corrected P<0.05 (single voxel level:P<0.05;cluster size:>110 voxels). Results There were 5 cerebral regions whose amplitude of low frequency fluctuation significantly correlated with mathematical performance:left inferior parietal lobule (161 voxels, rpeak=0.34), left precu-neus/superior parietal lobule (141 voxels, rpeak=0.31), left middle temporal gyrus (359 voxels, rpeak=0.34), left middle frontal gyrus (491 vox-els, rpeak=0.36), and right middle frontal gyrus (156 voxels, rpeak=0.32). Conclusion The amplitude of low frequency fluctuation of left inferior parietal lobule, precuneus/superior parietal lobule, middle temporal gyrus, middle frontal gyrus, and right middle frontal gyrus could be used as predictors of mathematical cognitive ability for brain-damaged patients.
