5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Since its first experimental signatures, the so called “critical brain hypothesis” has been extensively studied. Yet, its actual foundations remain elusive. According to a widely accepted teleological reasoning, the brain would be poised to a critical state to optimize the mapping of the noisy and ever changing real-world inputs, thus suggesting that primary sensory cortical areas should be critical. We investigated whether a single barrel column of the somatosensory cortex of the anesthetized rat displays a critical behavior. Neuronal avalanches were recorded across all cortical layers in terms of both multi-unit activities and population local field potentials, and their behavior during spontaneous activity compared to the one evoked by a controlled single whisker deflection. By applying a maximum likelihood statistical method based on timeseries undersampling to fit the avalanches distributions, we show that neuronal avalanches are power law distributed for both multi-unit activities and local field potentials during spontaneous activity, with exponents that are spread along a scaling line. Instead, after the tactile stimulus, activity switches to a transient across-layers synchronization mode that appears to dominate the cortical representation of the single sensory input.

          Related collections

          Most cited references67

          • Record: found
          • Abstract: found
          • Article: not found

          The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

          Neuronal activity in the brain gives rise to transmembrane currents that can be measured in the extracellular medium. Although the major contributor of the extracellular signal is the synaptic transmembrane current, other sources--including Na(+) and Ca(2+) spikes, ionic fluxes through voltage- and ligand-gated channels, and intrinsic membrane oscillations--can substantially shape the extracellular field. High-density recordings of field activity in animals and subdural grid recordings in humans, combined with recently developed data processing tools and computational modelling, can provide insight into the cooperative behaviour of neurons, their average synaptic input and their spiking output, and can increase our understanding of how these processes contribute to the extracellular signal.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Power-Law Distributions in Empirical Data

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

              This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wavelet transform, which localizes distinctive spike features, with superparamagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the algorithm unsupervised and fast. The algorithm is compared to other conventional methods using several simulated data sets whose characteristics closely resemble those of in vivo recordings. For these data sets, we found that the proposed algorithm outperformed conventional methods.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Syst Neurosci
                Front Syst Neurosci
                Front. Syst. Neurosci.
                Frontiers in Systems Neuroscience
                Frontiers Media S.A.
                1662-5137
                30 August 2021
                2021
                : 15
                : 709677
                Affiliations
                [1] 1Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy, University of Padova , Padova, Italy
                [2] 2Padova Neuroscience Center, University of Padova , Padova, Italy
                [3] 3Department of Biomedical Science, University of Padova , Padova, Italy
                [4] 4Department of Management and Engineering, University of Padova , Padova, Italy
                Author notes

                Edited by: Michael Okun, University of Leicester, United Kingdom

                Reviewed by: Pedro Valãdo Carelli, Federal University of Pernambuco, Brazil; Woodrow Shew, University of Arkansas, United States; Shan Yu, Institute of Automation, Chinese Academy of Sciences (CAS), China

                *Correspondence: Samir Suweis samir.suweis@ 123456unipd.it
                Article
                10.3389/fnsys.2021.709677
                8435673
                34526881
                e18a6c57-71c2-4730-b3f4-abbca2af0de6
                Copyright © 2021 Mariani, Nicoletti, Bisio, Maschietto, Oboe, Leparulo, Suweis and Vassanelli.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 May 2021
                : 02 August 2021
                Page count
                Figures: 6, Tables: 2, Equations: 6, References: 67, Pages: 13, Words: 9368
                Funding
                Funded by: H2020 Future and Emerging Technologies 10.13039/100010664
                Categories
                Neuroscience
                Original Research

                Neurosciences
                brain criticality,avalanches,local field potential (lfp),multi-unit activities,evoked potential,somatotopy,sensory coding

                Comments

                Comment on this article