ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2007
Amplitude modulation patterns of local field potentials reveal asynchronous neuronal populations.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- An Innovative EEG-Based Pain Identification and Quantification: A Pilot Study.Sensors (Basel, Switzerland) · 2024Article
- Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals' Analysis: A Proof-of-Concept.Sensors (Basel, Switzerland) · 2022Article
- DEEMD-SPP: A Novel Framework for Emotion Recognition Based on EEG Signals.Frontiers in psychiatry · 2022Article
- Instability of non-REM sleep in older women evaluated by sleep-stage transition and envelope analyses.Frontiers in aging neuroscience · 2022Article
- Gain control through divisive inhibition prevents abrupt transition to chaos in a neural mass model.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural oscillations, which appear in several areas of the nervous system and cover a wide frequency range, are a prominent issue in current neuroscience. Extracellularly recorded oscillations are generally thought to be a manifestation of a neural population with synchronized electrical activity resulting from coupling mechanisms. The vertebrate olfactory neuroepithelium exhibits beta-band oscillations, termed peripheral waves (PWs), in their population response to odor stimulation. Here, we examine PWs in the channel catfish and propose that their properties could be explained as the superposition of asynchronous oscillators. Our model shows that the intriguing random pattern of amplitude-modulated PWs could be explained by Rayleigh fading, an interference phenomenon well known in physics and recognizable using statistical methods and signal analysis. We are proposing a mathematical fingerprint to characterize neural signals generated by the addition of random phase oscillators. Our interpretation of PWs as arising from asynchronous oscillators could be generalized to other neuronal populations, because it suggests that neural oscillations, detected in local field potential recordings within a narrow frequency band, do not necessarily originate from synchronization events.
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Registered trials
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