کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9722647 | 1474525 | 2005 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Discussion on “Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description” by J. Wackermann
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Discussion on “Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description” by J. Wackermann Discussion on “Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description” by J. Wackermann](/preview/png/9722647.png)
چکیده انگلیسی
Wackermann (1999) [Wackermann, J., 1999. Towards a quantitative characterization of functional states of the brain: from the non-linear methodology to the global linear description. Int. J. Psychophysiol. 34, 65-80] proposed â-Ï-Ω system for describing the global brain macro-state, in which Ω complexity was used to quantify the degree of synchrony between spatially distributed EEG processes. In this paper the effect of signal power on Ω complexity is discussed, which was not considered in Wackermann's paper (1999). Then an improved method for eliminating the effect of signal power on Ω complexity is proposed. Finally a case study on the degree of synchrony between two-channel EEG signals over different brain regions during hand motor imagery is given. The results show that the improved Ω complexity measure would characterize the true degree of synchrony among the EEG signals by eliminating the influence of signal power.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Psychophysiology - Volume 56, Issue 3, June 2005, Pages 201-207
Journal: International Journal of Psychophysiology - Volume 56, Issue 3, June 2005, Pages 201-207
نویسندگان
Xiao-mei Pei, Chong-xun Zheng, Ai-hua Zhang, Fu-jian Duan, Guang-yu Bin,