標題: ICA-based spatiotemporal approach for single-trial analysis of postmovement MEG beta synchronization
作者: Lee, PL
Wu, YT
Chen, LF
Chen, YS
Cheng, CM
Yeh, TC
Ho, LT
Chang, MS
Hsieh, JC
資訊工程學系
Department of Computer Science
關鍵字: Rolandic rhythm;motor cortex;single-trial;magnetoencephalography;event-related synchronization;independent component analysis (ICA)
公開日期: 1-十二月-2003
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.
URI: http://dx.doi.org/10.1016/j.neuroimage.2003.07.024
http://hdl.handle.net/11536/27363
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2003.07.024
期刊: NEUROIMAGE
Volume: 20
Issue: 4
起始頁: 2010
結束頁: 2030
顯示於類別:期刊論文


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