Identifying neuronal oscillations using rhythmicity

Fransen, Anne M.M.; Ede, Freek van; Maris, Eric

doi:10.1016/j.neuroimage.2015.06.003

Cited by 60 publications

(62 citation statements)

References 41 publications

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“…These peaks are especially pronounced when wavelet-transforms are calculated that are based on short data segments. Recently, we have demonstrated that the performance of lagged coherence is superior to that of power for the identification of the somatosensory rhythms in ongoing human neuronal activity as measured by MEG (Fransen et al 2015). This improved performance is likely due to the fact that, unlike Fourier power, lagged coherence is a direct measure of the rhythmicity at a particular frequency.…”

Section: The Performance Of Lagged Coherence Compared With Fourier Pomentioning

confidence: 96%

“…We measured the presence of rhythmic activity using lagged coherence (Fransen et al 2015). Rhythmicity is defined as the consistency of the phase relations over a certain time interval (lag).…”

Section: Quantifying Rhythmicity Using Lagged Coherencementioning

confidence: 99%

“…4A). We investigated rhythmicity in these recordings using the lagged coherence measure (Fransen et al 2015). Rhythmicity is the extent to which a signal is periodic, allowing for the prediction of future phases on the basis of the present one.…”

Section: Rhythmic ␣-And ␤-Band Activity Over the Rat Somatosensory Comentioning

confidence: 99%

“…More specifically, our objective is to demonstrate the existence of a genuine ␤-rhythm that coexists alongside the ␤-activity that is thought to reflect the second harmonic of the arch-shaped somatosensory ␣-rhythm. To demonstrate this, we use a novel quantification of rhythmicity, called lagged coherence (Fransen et al 2015). Compared with power, lagged coherence does not depend on waveform amplitude, but only on the degree to which the phase of band-limited neural activity is preserved over time.…”

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confidence: 99%

“…Compared with power, lagged coherence does not depend on waveform amplitude, but only on the degree to which the phase of band-limited neural activity is preserved over time. In humans, we previously demonstrated that lagged coherence is better suited to identify and isolate the somatosensory ␣-and ␤-rhythms than Fourier power (Fransen et al 2015). To demonstrate somatosensory ␤-rhythms in rats, first we compare the power and lagged coherence spectra over rat somatosensory cortex.…”

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Distinct α- and β-band rhythms over rat somatosensory cortex with similar properties as in humans

Fransen

Dimitriadis

Ede

et al. 2016

Journal of Neurophysiology

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Fransen AM, Dimitriadis G, van Ede F, Maris E. Distinct ␣-and ␤-band rhythms over rat somatosensory cortex with similar properties as in humans. J Neurophysiol 115: 3030 -3044, 2016. First published March 23, 2016 doi:10.1152/jn.00507.2015.-We demonstrate distinct ␣-(7-14 Hz) and ␤-band (15-30 Hz) rhythms in rat somatosensory cortex in vivo using epidural electrocorticography recordings. Moreover, we show in rats that a genuine ␤-rhythm coexists alongside ␤-activity that reflects the second harmonic of the arch-shaped somatosensory ␣-rhythm. This demonstration of a genuine somatosensory ␤-rhythm depends on a novel quantification of neuronal oscillations that is based on their rhythmic nature: lagged coherence. Using lagged coherence, we provide two lines of evidence that this somatosensory ␤-rhythm is distinct from the second harmonic of the archshaped ␣-rhythm. The first is based on the rhythms' spatial properties: the ␣-and ␤-rhythms are demonstrated to have significantly different topographies. The second is based on the rhythms' temporal properties: the lagged phase-phase coupling between the ␣-and ␤-rhythms is demonstrated to be significantly less than would be expected if both reflected a single underlying nonsinusoidal rhythm. Finally, we demonstrate that 1) the lagged coherence spectrum is consistent between signals from rat and human somatosensory cortex; and 2) a tactile stimulus has the same effect on the somatosensory ␣-and ␤-rhythms in both rats and humans, namely suppressing them. Thus we not only provide evidence for the existence of genuine ␣-and ␤-rhythms in rat somatosensory cortex, but also for their homology to the primate sensorimotor ␣-and ␤-rhythms.

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Section: The Performance Of Lagged Coherence Compared With Fourier Pomentioning

confidence: 96%

Section: Quantifying Rhythmicity Using Lagged Coherencementioning

confidence: 99%

Section: Rhythmic ␣-And ␤-Band Activity Over the Rat Somatosensory Comentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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