Spectrum dependency to rate and spike timing in neuronal spike trains.

Circular statistics Deterministic Interspike intervals Neurons Power Spectrum Stochastic Temporal organization

Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 04 2022
Historique:
received: 15 10 2021
revised: 11 02 2022
accepted: 14 02 2022
pubmed: 20 2 2022
medline: 8 4 2022
entrez: 19 2 2022
Statut: ppublish

Résumé

Spike trains are series of interspike intervals in a specific order that can be characterized by their probability distributions and order in time which refer to the concepts of rate and spike timing features. Periodic structure in the spike train can be reflected in oscillatory activities. Thus, there is a direct link between oscillator activities and the spike train. The proposed methods are to investigate the dependency of emerging oscillatory activities to the rate and the spike timing features. First, the circular statistics methods were compared to Fast Fourier Transform for best estimation of spectra. Second, two statistical tests were introduced to help make decisions regarding the dependency of spectrum, or individual frequencies, onto rate and spike timing. Third, the methodology is applied to in-vivo recordings of basal ganglia neurons in mouse, primate, and human. Finally, this novel framework is shown to allow the investigation of subsets of spikes contributing to individual oscillators. Use of circular statistical methods, in comparison to FFT, minimizes spectral leakage. Using virtual spike trains, the Rate versus Timing Dependency Spectrum Test (or RTDs-Test) permits identifying spectral spike trains solely dependent on the rate feature from those that are also dependent on the spike timing feature. Similarly, the Rate versus Timing Dependency Frequency Test (or RTDf-Test), allows to identify individual oscillators with partial dependency on spike timing. Dependency on spike timing was found for all in-vivo recordings but only in few frequencies. The mapping in frequency and time of dependencies showed a dynamical process that may be organizing the basal ganglia function. The methodology may improve our understanding of the emergence of oscillatory activities and, possibly, the relation between oscillatory activities and circuitry functions.

Sections du résumé

BACKGROUND
Spike trains are series of interspike intervals in a specific order that can be characterized by their probability distributions and order in time which refer to the concepts of rate and spike timing features. Periodic structure in the spike train can be reflected in oscillatory activities. Thus, there is a direct link between oscillator activities and the spike train. The proposed methods are to investigate the dependency of emerging oscillatory activities to the rate and the spike timing features.
METHOD
First, the circular statistics methods were compared to Fast Fourier Transform for best estimation of spectra. Second, two statistical tests were introduced to help make decisions regarding the dependency of spectrum, or individual frequencies, onto rate and spike timing. Third, the methodology is applied to in-vivo recordings of basal ganglia neurons in mouse, primate, and human. Finally, this novel framework is shown to allow the investigation of subsets of spikes contributing to individual oscillators.
RESULTS
Use of circular statistical methods, in comparison to FFT, minimizes spectral leakage. Using virtual spike trains, the Rate versus Timing Dependency Spectrum Test (or RTDs-Test) permits identifying spectral spike trains solely dependent on the rate feature from those that are also dependent on the spike timing feature. Similarly, the Rate versus Timing Dependency Frequency Test (or RTDf-Test), allows to identify individual oscillators with partial dependency on spike timing. Dependency on spike timing was found for all in-vivo recordings but only in few frequencies. The mapping in frequency and time of dependencies showed a dynamical process that may be organizing the basal ganglia function.
CONCLUSIONS
The methodology may improve our understanding of the emergence of oscillatory activities and, possibly, the relation between oscillatory activities and circuitry functions.

Identifiants

pubmed: 35182602
pii: S0165-0270(22)00059-0
doi: 10.1016/j.jneumeth.2022.109532
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109532

Subventions

Organisme : NIGMS NIH HHS
ID : P41 GM111135
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Olivier Darbin (O)

Department of Neurology, University South Alabama, 307 University Blvd, Mobile, AL 36688, USA; Division of System Neurophysiology, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki 444-8585, Japan. Electronic address: olivieredarbin@gmail.com.

Dwi Wahyu Indriani (DW)

Division of System Neurophysiology, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki 444-8585, Japan; Department of Physiological Sciences, SOKENDAI, 38 Nishigonaka, Myodaiji, Okazaki 444-8585, Japan.

Adel Ardalan (A)

Zuckerman Mind Brain Behavior Institute, Columbia University, 3227 Broadway, New York, NY 10027, USA.

Hamid R Eghbalnia (HR)

Department of Molecular Biology and Biophysics, UConn Health, 263 Farmington Avenue Farmington, CT 06030, USA.

Amir Assadi (A)

Department of Mathematics, University of Wisconsin Madison, 480 Lincoln Drive, 213 Van Vleck Hall, Madison, WI 53706, USA.

Atsushi Nambu (A)

Division of System Neurophysiology, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki 444-8585, Japan; Department of Physiological Sciences, SOKENDAI, 38 Nishigonaka, Myodaiji, Okazaki 444-8585, Japan.

Erwin Montgomery (E)

Department of Medicine (Neurology), Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada.

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