کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4336702 | 1295223 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detecting causality between different frequencies
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Biological systems are usually non-linear and, as a result, the driving signal frequency (say, MÂ Hz) is in general not identical with the output frequency (say, NÂ Hz). Coherence and causality analysis have been well-developed to measure the (directional) correlation between input and output signals with identical frequencies (N=M), but they are not applicable to the cases with different frequencies (Nâ M). In this paper, we propose a novel method called frequency-modified causality (coherence) analysis to resolve the issue. The input or output signal is first modulated by up-sampling or down-sampling, coherence and causality analysis are then applied to the frequency modulated and filtered signals. An optimal coherence and causality is found, revealing the true input-output relationship between signals. The method is successfully tested on data generated from a toy model, the van der Pol oscillator and then employed to analyze data recorded from Parkinson's disease (PD) patients.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 167, Issue 2, 30 January 2008, Pages 367-375
Journal: Journal of Neuroscience Methods - Volume 167, Issue 2, 30 January 2008, Pages 367-375
نویسندگان
Jianhua Wu, Xuguang Liu, Jianfeng Feng,