Paper Info
Title
ICA-based spatiotemporal approach for single-trial analysis of postmovement MEG beta synchronization.
Abstract
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.
Year
DOI
Venue
2003
10.1016/j.neuroimage.2003.07.024
NeuroImage
Keywords
DocType
Volume
Rolandic rhythm,Motor cortex,Single-trial,Magnetoencephalography,Event-related synchronization,Independent component analysis (ICA)
Journal
20
Issue
ISSN
Citations 
4
1053-8119
8
PageRank 
References 
Authors
0.87
8
9
Name
Order
Citations
PageRank
Po-Lei Lee116817.42
Yu-Te Wu218628.14
Li-Fen Chen3183.31
Yong-Sheng Chen431430.12
Chou-Ming Cheng581.20
Tzu-Chen Yeh614121.82
Low-Tone Ho7659.02
Mau-Song Chang8112.49
Jen-Chuen Hsieh918827.76