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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Samdin, S.B. Chee-Ming Ting Salleh, S.-H. Hamedi, M. Mohd Noor, A.B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center for Biomed. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia (Samdin, S.B.; Chee-Ming Ting; Salleh, S.-H.; Hamedi, M.; Mohd Noor, A.B.) |
| Abstract | This paper considers identifying effective cortical connectivity from scalp EEG. Recent studies use time-varying multivariate autoregressive (TV-MAR) models to better describe the changing connectivity between cortical regions where the TV coefficients are estimated by Kalman filter (KF) within a state-space framework. We extend this approach by incorporating Kalman smoothing (KS) to improve the KF estimates, and the expectation-maximization (EM) algorithm to infer the unknown model parameters from EEG. We also consider solving the volume conduction problem by modeling the induced instantaneous correlations using a full noise covariate. Simulation results show the superiority of KS in tracking the coefficient changes. We apply two derived frequency domain measures i.e. TV partial directed coherence (TV-PDC) and TV directed transfer function (TV-DTF), to investigate dynamic causal interactions between motor areas in discriminating motor imagery (MI) of left and right hand. Event-related changes of information flows around beta-band, in a unidirectional way between left and right hemispheres are observed during MI. A difference in inter-hemispheric connectivity patterns is found between left and right-hand movements, implying potential usage for BCI. |
| Starting Page | 181 |
| Ending Page | 184 |
| File Size | 243493 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479949755 |
| DOI | 10.1109/SSP.2014.6884605 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-29 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electroencephalography Brain models Coherence Time-frequency analysis Noise Computational modeling EEG Multivariate autoregressive model state-space model EM algorithm dynamic cortical connectivity |
| Content Type | Text |
| Resource Type | Article |
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