کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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6268943 | 1295110 | 2013 | 11 صفحه PDF | دانلود رایگان |
- We use generalized linear models to assess cross-frequency coupling.
- The method allows direct computation of confidence in the resulting statistic.
- The method accurately detects biphasic cross-frequency coupling.
- The resulting statistic is easily interpretable.
BackgroundBrain voltage activity displays distinct neuronal rhythms spanning a wide frequency range. How rhythms of different frequency interact - and the function of these interactions - remains an active area of research. Many methods have been proposed to assess the interactions between different frequency rhythms, in particular measures that characterize the relationship between the phase of a low frequency rhythm and the amplitude envelope of a high frequency rhythm. However, an optimal analysis method to assess this cross-frequency coupling (CFC) does not yet exist.New methodHere we describe a new procedure to assess CFC that utilizes the generalized linear modeling (GLM) framework.ResultsWe illustrate the utility of this procedure in three synthetic examples. The proposed GLM-CFC procedure allows a rapid and principled assessment of CFC with confidence bounds, scales with the intensity of the CFC, and accurately detects biphasic coupling.Comparison with existing methodsCompared to existing methods, the proposed GLM-CFC procedure is easily interpretable, possesses confidence intervals that are easy and efficient to compute, and accurately detects biphasic coupling.ConclusionsThe GLM-CFC statistic provides a method for accurate and statistically rigorous assessment of CFC.
Journal: Journal of Neuroscience Methods - Volume 220, Issue 1, 30 October 2013, Pages 64-74