《中国康复理论与实践》

《中国康复理论与实践》 ›› 2015, Vol. 21 ›› Issue (06): 670-676.

• 特稿 • 上一篇    下一篇

脑损伤静息态低频振幅预测数学认知能力受损情况

赵颖 1，王强 2,3，孙蓉 2,3，杜晓霞 2,3，宋鲁平 2,3，陈灵娟 1，毕彦超 1，韩在柱 1   

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2015-06-25 发布日期:2015-06-25

Mathematical Cognitive Ability Predicted by Amplitude of Low Frequency Fluctuate in Patients with Brain Damage

ZHAO Ying1, WANG Qiang2,3, SUN Rong2,3, DU Xiao-xia2,3, SONG Lu-ping2,3, CHEN Ling-juan1, BI YAN-chao1, HAN Zai-zhu1   

  1. 1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; 2. Capital Medical University School of Rehabilitation Medicine, Beijing 100068, China; 3. Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing 100068, China
  • Received:1900-01-01 Revised:1900-01-01 Published:2015-06-25 Online:2015-06-25

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被引次数

1

摘要： 目的 找到简单有效的生物指标预测数学认知能力的成绩，避免患者进行长时间认知测验的痛苦、节省评估时间。方法 收集86例脑损伤患者静息态脑功能成像和结构像数据，以及数学任务(7个计算题目，2个数数题目)、读词任务(140个题目)得分。对全脑体素低频振幅与数学任务得分进行偏相关分析，将读词任务作为控制任务，使用AlphaSim进行多重比较校正，校正阈值设为P<0.05(体素水平P<0.05，团块大小>110体素)。结果 发现 5块脑区的低频振幅与数学任务成绩显著相关：左侧顶下小叶(161体素，r 峰值=0.34)、左侧楔前叶/顶上小叶(141体素，r 峰值=0.31)、左侧颞中回(359体素，r 峰值=0.34)、左侧额中回(491体素，r 峰值=0.36)、右侧额中回(156体素，r 峰值=0.32)。结论 脑损伤患者左侧的顶下小叶、楔前叶/顶上小叶、颞中回、额中回，以及右侧额中回的静息态低频振幅可以预测数学认识能力受损情况。

关键词: 脑损伤, 静息态, 低频振幅, 数学认知

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 resting-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 fluctuation 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 precuneus/superior parietal lobule (141 voxels, rpeak=0.31), left middle temporal gyrus (359 voxels, rpeak=0.34), left middle frontal gyrus (491 voxels, 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.

Key words: brain damage, resting-state, amplitude of low frequency fluctuation, mathematical cognition