ArticleScientific reports2019
Discrete Structure of the Brain Rhythms.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Theta Oscillons in Behaving Rats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neurotechnological Approaches to the Diagnosis and Treatment of Alzheimer's Disease.Frontiers in neuroscience · 2022Review
- Rapid Spectral Dynamics in Hippocampal Oscillons.Frontiers in computational neuroscience · 2022Article
- The contribution of coherence field theory to a model of consciousness: electric currents, EM fields, and EM radiation in the brain.Frontiers in human neuroscience · 2022Article
- Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuronal activity in the brain generates synchronous oscillations of the Local Field Potential (LFP). The traditional analyses of the LFPs are based on decomposing the signal into simpler components, such as sinusoidal harmonics. However, a common drawback of such methods is that the decomposition primitives are usually presumed from the onset, which may bias our understanding of the signal's structure. Here, we introduce an alternative approach that allows an impartial, high resolution, hands-off decomposition of the brain waves into a small number of discrete, frequency-modulated oscillatory processes, which we call oscillons. In particular, we demonstrate that mouse hippocampal LFP contain a single oscillon that occupies the θ-frequency band and a couple of γ-oscillons that correspond, respectively, to slow and fast γ-waves. Since the oscillons were identified empirically, they may represent the actual, physical structure of synchronous oscillations in neuronal ensembles, whereas Fourier-defined "brain waves" are nothing but poorly resolved oscillons.
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Registered trials
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