کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6267753 1614600 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel cross-frequency coupling detection method using the generalized Morse wavelets
ترجمه فارسی عنوان
روش جدید تشخیص کوپلینگ متقاطع با استفاده از موجول های متمرکز مورس
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی


- We develop a wavelet based cross-frequency coupling detection method.
- This analysis produces consistent time-frequency resolution.
- We select a wavelet with zero-phase distortion.
- We analyze corticostriatal interactions in anesthetized rats.

BackgroundCross-frequency coupling (CFC) occurs when non-identical frequency components entrain one another. A ubiquitous example from neuroscience is low frequency phase to high frequency amplitude coupling in electrophysiological signals. Seminal work by Canolty revealed CFC in human ECoG data. Established methods band-pass the data into component frequencies then convert the band-passed signals into the analytic representation, from which we infer the instantaneous amplitude and phase of each component. Though powerful, such methods resolve signals with respect to time and frequency without addressing the multiresolution problem.New methodWe build upon the ground-breaking work of Canolty and others and derive a wavelet-based CFC detection algorithm that efficiently searches a range of frequencies using a sequence of filters with optimal trade-off between time and frequency resolution. We validate our method using simulated data and analyze CFC within and between the primary motor cortex and dorsal striatum of rats under ketamine-xylazine anesthesia.ResultsOur method detects the correct CFC in simulated data and reveals CFC between frequency bands that were previously shown to participate in corticostriatal effective connectivity.Comparison with existing methodsOther CFC detection methods address the need to increase bandwidth when analyzing high frequency components but none to date permit rigorous bandwidth selection with no a priori knowledge of underlying CFC. Our method is thus particularly useful for exploratory studies.ConclusionsThe method developed here permits rigorous and efficient exploration of a hypothesis space and is particularly useful when the frequencies participating in CFC are unknown.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 269, 30 August 2016, Pages 61-73
نویسندگان
, , , , , , ,