Defining the filter parameters for phase-amplitude coupling from a bispectral point of view
Autor: | Coen S. Zandvoort, Guido Nolte |
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Přispěvatelé: | Coordination Dynamics, AMS - Rehabilitation & Development |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
General Neuroscience Bandwidth (signal processing) Models Neurological Brain Signal Processing Computer-Assisted Local field potential Radio spectrum Rats 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Amplitude Frequency domain Phase-amplitude coupling Animals Bicoherence Cross-frequency coupling Algorithm Bispectrum 030217 neurology & neurosurgery Phase amplitude coupling Mathematics |
Zdroj: | Zandvoort, C S & Nolte, G 2021, ' Defining the filter parameters for phase-amplitude coupling from a bispectral point of view ', Journal of Neuroscience Methods, vol. 350, no. 350, 109032, pp. 1-12 . https://doi.org/10.1016/j.jneumeth.2020.109032, https://doi.org/10.1016/j.jneumeth.2020.109032 Journal of Neuroscience Methods, 350(350):109032, 1-12. Elsevier Journal of Neuroscience Methods |
ISSN: | 0165-0270 |
DOI: | 10.1016/j.jneumeth.2020.109032 |
Popis: | BACKGROUND: Two measures of cross-frequency coupling are phase-amplitude coupling (PAC) and bicoherence. The estimation of PAC with meaningful bandwidth for the high-frequency amplitude is crucial in order to avoid misinterpretations. While recommendations on the bandwidth of PAC's amplitude component exist, there is no consensus yet. Theoretical relationships between PAC and bicoherence can provide insights on how to set PAC's filters.NEW METHOD: To illustrate this, PAC estimated from simulated and empirical data are compared to the bispectrum. We used simulations replicated from earlier studies and empirical data from human electro-encephalography and rat local field potentials. PAC's amplitude component was estimated using a filter bandwidth with a ratio of (1) 2:1, (2) 1:1, or (3) 0.5:1 relative to the phase frequency.RESULTS: For both simulated and empirical data, PAC was smeared over a broad frequency range and not present when the estimates comprised a 2:1- and 0.5:1-ratio, respectively. In contrast, the 1:1-ratio accurately avoids smearing and results in clear signals of cross-frequency coupling. Bicoherence estimates were found to be essentially identical to PAC calculated with the recommended frequency setting.COMPARISON WITH EXISTING METHOD(S): Earlier recommendations on filter settings of PAC lead to estimates which are smeared in the frequency domain, which makes it difficult to identify cross-frequency coupling of neural processes operating in narrow frequency bands.CONCLUSIONS: We conclude that smearing of PAC estimates can be avoided with a different choice of filter settings by theoretically relating PAC to bicoherence. |
Databáze: | OpenAIRE |
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