首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis
【24h】

Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis

机译:运动相关脑震荡的源域频谱脑电图测量

获取原文

摘要

Here, we investigated EEG-based source-level spectral differences between adolescents with sports-related concussions and healthy age matched controls. We transformed resting state EEG collected in both groups to the source domain using Independent Component Analysis (ICA) and computed the component process power spectra. For group-level analysis in the source domain, we used a probabilistic framework, Measure Projection Analysis (MPA), that has advantages over parametric k-means clustering of brain sources. MPA revealed that some frontal brain sources in the concussed group had significantly more power in the beta band (p<;0.005) and significantly less delta (p<;0.01) and theta band power (p<;0.05) than the healthy control group. These results suggest that a shift in spectral profile toward higher frequencies in some frontal brain regions might distinguish individuals with concussion from healthy controls.
机译:在这里,我们调查了与运动相关脑震荡的青少年和健康年龄匹配的对照组之间基于脑电图的源水平光谱差异。我们使用独立成分分析(ICA)将两组中收集的静息状态EEG转换为源域,并计算了成分过程功率谱。对于源域中的组级分析,我们使用了概率框架,即度量投影分析(MPA),该框架优于脑源的参数k均值聚类。 MPA显示,与健康对照组相比,脑震荡组的某些额叶脑源在β谱带具有显着更大的能量(p <; 0.005),而在δ(p <; 0.01)和theta谱带的能量显着较少(p <; 0.05) 。这些结果表明,在某些额叶大脑区域,频谱图谱向较高频率的转移可能将脑震荡患者与健康对照者区分开。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号