Mathematical Cognitive Ability Predicted by Amplitude of Low Frequency Fluctuate in Patients with Brain Dam-age
ZHAO Ying
WANG Qiang
SUN Rong
DU Xiao-xia
SONG Lu-ping
CHEN Ling-juan
BI YAN-chao
HAN Zai-zhu
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.
Keywords：brain damageresting-stateamplitude of low frequency fluctuationmathematical cognition
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 670-676 )