2016
DOI: 10.1101/062190
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Periodic Non-Sinusoidal Activity Can Produce Cross-Frequency Coupling in Cortical Signals in the Absence of Functional Interaction Between Neural Sources

Abstract: The analysis of cross-frequency coupling (CFC) has become popular in studies involving intracranial and scalp EEG recordings in humans. It has been argued that some cases where CFC is mathematically present may not reflect an interaction of two distinct yet functionally coupled neural sources with different frequencies. Here we provide two empirical examples from intracranial recordings where CFC can be shown to be driven by the shape of a periodic waveform rather than by a functional interaction between disti… Show more

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Cited by 4 publications
(3 citation statements)
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“…Additionally, the observed temporal dynamics of sharp waveforms and nested oscillations imply that both mechanisms must occur in concert for successful memory. Importantly, this confirmation of distinct neural mechanisms in human cortex as measured with PAC adds evidence to the emerging field of waveform based inference on the neurophysiological mechanisms underlying iEEG (Sherman et al, 2016; Gerber et al, 2016; Cole et al, 2016). …”
Section: Discussionsupporting
confidence: 54%
“…Additionally, the observed temporal dynamics of sharp waveforms and nested oscillations imply that both mechanisms must occur in concert for successful memory. Importantly, this confirmation of distinct neural mechanisms in human cortex as measured with PAC adds evidence to the emerging field of waveform based inference on the neurophysiological mechanisms underlying iEEG (Sherman et al, 2016; Gerber et al, 2016; Cole et al, 2016). …”
Section: Discussionsupporting
confidence: 54%
“…Spectral analysis of periodic signals whose wave morphologies systematically mismatch a given filter kernel (i.e., wavelet, sine/cosine) will produce harmonics, and in consequence, spurious CFC (Lozano-Soldevilla, 2015 ). This observation has been recently replicated by various independent research groups (Cole et al, 2016 ; Gerber et al, 2016 ; Jones, 2016 ; Scheffer-Teixeira and Tort, 2016 ).…”
Section: Discussionmentioning
confidence: 68%
“…This approach allowed us to exclude multiple evoked transients that were present in the signal (e.g. cue onset, variable target onset, response), which are known to give rise to spurious CFC (Aru et al, 2015; Cole and Voytek, 2017; Gerber et al, 2016), when additional filtering is applied. Similar to spike-triggered averaging (Brown et al, 2004), we first detected all the HFB peaks in a given trial and at a given channel after the evoked response (> 0.3s) and prior to the target onset, which varied on a trial-by-trial basis.…”
Section: Star Methodsmentioning
confidence: 99%