Abstract
This paper demonstrates an effective approach to studying functional coupling of different brain regions in event-related paradigm. The selective two-channel complexity (TCC) and field power (TCFP) were investigated between contralateral sensorimotor and mid-central region (close to Cz), and between ipsilateral sensorimotor and mid-central region during left or right hand motor imagery. It is demonstrated that TCC and TCFP can provide information regarding the dynamic interaction of spatially separated brain regions. In the upper alpha band (10-12Hz), TCC and TCFP with mu rhythm of the mid-central region and contralateral sensorimotor hand area show a pronounced increase and decrease respectively at imagination onset, which indicates that there are independent, parallel functional processes over contralateral sensorimotor area and mid-central region with the respective regions becoming active. The preliminary results show that TCC and TCFP could characterize the information exchange between different brain regions and also that the two parameters display good separability for left and right hand motor imagery tasks, so that they could be considered for the classification of two classes of EEG patterns in BCI (Brain Computer Interface).
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Pei, Xm., Xu, J., Zheng, Cx., Bin, Gy. (2005). Selective Two-Channel Linear Descriptors for Studying Dynamic Interaction of Brain Regions. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_79
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DOI: https://doi.org/10.1007/11539902_79
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