ICA-based spatiotemporal approach for single-trial analysis of postmovement MEG beta synchronization

被引:39
作者
Lee, PL
Wu, YT
Chen, LF
Chen, YS
Cheng, CM
Yeh, TC
Ho, LT
Chang, MS
Hsieh, JC
机构
[1] Taipei Vet Gen Hosp, Lab Integrated Brain Res, Dept Med Res & Educ, Taipei 112, Taiwan
[2] Natl Yang Ming Univ, Inst Radiol Sci, Taipei 112, Taiwan
[3] Natl Yang Ming Univ, Ctr Neurosci, Taipei, Taiwan
[4] Natl Chaio Tung Univ, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan
[5] Natl Yang Ming Univ, Fac Med, Sch Med, Taipei 112, Taiwan
[6] Natl Yang Ming Univ, Inst Neurosci, Sch Life Sci, Taipei 112, Taiwan
[7] Natl Yang Ming Univ, Inst Hlth Informat & Decis Making, Sch Med, Taipei 112, Taiwan
关键词
Rolandic rhythm; motor cortex; single-trial; magnetoencephalography; event-related synchronization; independent component analysis (ICA);
D O I
10.1016/j.neuroimage.2003.07.024
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The extraction of event-related oscillatory neuromagnetic activities from single-trial measurement is challenging due to the non-phase-locked nature and variability from trial to trial. The present study presents a method based on independent component analysis (ICA) and the use of a template-based correlation approach to extract Rolandic beta rhythm from magnetoencephalographic (MEG) measurements of right finger lifting. A single trial recording was decomposed into a set of coupled temporal independent components and corresponding spatial maps using ICA and the reactive beta frequency band for each trial identified using a two-spectrum comparison between the postmovement interval and a reference period. Task-related components survived dual criteria of high correlation with both the temporal and the spatial templates with an acceptance rate of about 80%. Phase and amplitude information for noise-free MEG beta activities were preserved not only for optimal calculation of beta rebound (event-related synchronization) but also for profound penetration into subtle dynamics across trials. Given the high signal-to-noise ratio (SNR) of this method, various methods of source estimation were used on reconstructed single-trial data and the source loci coherently anchored in the vicinity of the primary motor area. This method promises the possibility of a window into the intricate brain dynamics of motor control mechanisms and the cortical pathophysiology of movement disorder on a trial-by-trial basis. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:2010 / 2030
页数:21
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