53
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements

      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

          Grasping an object involves shaping the hand and fingers in relation to the object’s physical properties. Following object contact, it also requires a fine adjustment of grasp forces for secure manipulation. Earlier studies suggest that the control of hand shaping and grasp force involve partially segregated motor cortical networks. However, it is still unclear how information originating from these networks is processed and integrated. We addressed this issue by analyzing massively parallel signals from population measures (local field potentials, LFPs) and single neuron spiking activities recorded simultaneously during a delayed reach-to-grasp task, by using a 100-electrode array chronically implanted in monkey motor cortex. Motor cortical LFPs exhibit a large multi-component movement-related potential (MRP) around movement onset. Here, we show that the peak amplitude of each MRP component and its latency with respect to movement onset vary along the cortical surface covered by the array. Using a comparative mapping approach, we suggest that the spatio-temporal structure of the MRP reflects the complex physical properties of the reach-to-grasp movement. In addition, we explored how the spatio-temporal structure of the MRP relates to two other measures of neuronal activity: the temporal profile of single neuron spiking activity at each electrode site and the somatosensory receptive field properties of single neuron activities. We observe that the spatial representations of LFP and spiking activities overlap extensively and relate to the spatial distribution of proximal and distal representations of the upper limb. Altogether, these data show that, in motor cortex, a precise spatio-temporal pattern of activation is involved for the control of reach-to-grasp movements and provide some new insight about the functional organization of motor cortex during reaching and object manipulation.

          Related collections

          Most cited references47

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

          Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice.

          Internal brain states form key determinants for sensory perception, sensorimotor coordination and learning. A prominent reflection of different brain states in the mammalian central nervous system is the presence of distinct patterns of cortical synchrony, as revealed by extracellular recordings of the electroencephalogram, local field potential and action potentials. Such temporal correlations of cortical activity are thought to be fundamental mechanisms of neuronal computation. However, it is unknown how cortical synchrony is reflected in the intracellular membrane potential (V(m)) dynamics of behaving animals. Here we show, using dual whole-cell recordings from layer 2/3 primary somatosensory barrel cortex in behaving mice, that the V(m) of nearby neurons is highly correlated during quiet wakefulness. However, when the mouse is whisking, an internally generated state change reduces the V(m) correlation, resulting in a desynchronized local field potential and electroencephalogram. Action potential activity was sparse during both quiet wakefulness and active whisking. Single action potentials were driven by a large, brief and specific excitatory input that was not present in the V(m) of neighbouring cells. Action potential initiation occurs with a higher signal-to-noise ratio during active whisking than during quiet periods. Therefore, we show that an internal brain state dynamically regulates cortical membrane potential synchrony during behaviour and defines different modes of cortical processing.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Grasping objects: the cortical mechanisms of visuomotor transformation.

            Grasping requires coding of the object's intrinsic properties (size and shape), and the transformation of these properties into a pattern of distal (finger and wrist) movements. Computational models address this behavior through the interaction of perceptual and motor schemas. In monkeys, the transformation of an object's intrinsic properties into specific grips takes place in a circuit that is formed by the inferior parietal lobule and the inferior premotor area (area F5). Neurons in both these areas code size, shape and orientation of objects, and specific types of grip that are necessary to grasp them. Grasping movements are coded more globally in the inferior parietal lobule, whereas they are more segmented in area F5. In humans, neuropsychological studies of patients with lesions to the parietal lobule confirm that primitive shape characteristics of an object for grasping are analyzed in the parietal lobe, and also demonstrate that this 'pragmatic' analysis of objects is separated from the 'semantic' analysis performed in the temporal lobe.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena.

              U Mitzdorf (1984)
                Bookmark

                Author and article information

                Journal
                Front Neural Circuits
                Front Neural Circuits
                Front. Neural Circuits
                Frontiers in Neural Circuits
                Frontiers Media S.A.
                1662-5110
                27 March 2013
                2013
                : 7
                : 48
                Affiliations
                [1] 1Institut de Neurosciences de la Timone, UMR 7289, Centre National de la Recherche Scientifique - Aix-Marseille Université Marseille, France
                [2] 2Riken Brain Science Institute Wako-Shi, Japan
                [3] 3Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience, Research Center Jülich Jülich, Germany
                [4] 4Institute for Advanced Simulation (IAS-6), Theoretical Neuroscience, Research Center Jülich Jülich, Germany
                [5] 5Theoretical Systems Neurobiology, RWTH Aachen University Aachen, Germany
                Author notes

                Edited by: Nicholas Hatsopoulos, University of Chicago, USA

                Reviewed by: Nicholas Hatsopoulos, University of Chicago, USA; Marc Schieber, University of Rochester, USA

                *Correspondence: Alexa Riehle, Institut de Neurosciences de la Timone, UMR 7289, Centre National de la Recherche Scientifique - Aix-Marseille Université, Campus Santé Timone, 27, Boulevard Jean Moulin, 13885 Marseille Cedex 05, France. e-mail: alexa.riehle@ 123456univ-amu.fr

                Present address: Sarah Wirtssohn, Institute of Biology, Behavioural Physiology, Humboldt-Universität zu Berlin, Berlin, Germany.

                Article
                10.3389/fncir.2013.00048
                3608913
                23543888
                e5c613c3-a998-46d0-a4af-fa8a6c4653d8
                Copyright © Riehle, Wirtssohn, Grün and Brochier

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

                History
                : 12 December 2012
                : 06 March 2013
                Page count
                Figures: 10, Tables: 0, Equations: 0, References: 55, Pages: 15, Words: 0
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                cortical map,high-density recordings,monkey motor cortex,spiking activity,lfp
                Neurosciences
                cortical map, high-density recordings, monkey motor cortex, spiking activity, lfp

                Comments

                Comment on this article