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      Motor learning requires myelination to reduce asynchrony and spontaneity in neural activity

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          Abstract

          Myelination increases the conduction velocity in long‐range axons and is prerequisite for many brain functions. Impaired myelin regulation or impairment of myelin itself is frequently associated with deficits in learning and cognition in neurological and psychiatric disorders. However, it has not been revealed what perturbation of neural activity induced by myelin impairment causes learning deficits. Here, we measured neural activity in the motor cortex during motor learning in transgenic mice with a subtle impairment of their myelin. This deficit in myelin impaired motor learning, and was accompanied by a decrease in the amplitude of movement‐related activity and an increase in the frequency of spontaneous activity. Thalamocortical axons showed variability in axonal conduction with a large spread in the timing of postsynaptic cortical responses. Repetitive pairing of forelimb movements with optogenetic stimulation of thalamocortical axon terminals restored motor learning. Thus, myelin regulation helps to maintain the synchrony of cortical spike‐time arrivals through long‐range axons, facilitating the propagation of the information required for learning. Our results revealed the pathological neuronal circuit activity with impaired myelin and suggest the possibility that pairing of noninvasive brain stimulation with relevant behaviors may ameliorate cognitive and behavioral abnormalities in diseases with impaired myelination.

          Main Points

          • Myelin impairment results in temporal dispersion of axonal conduction in long‐range axons.

          • Low task‐related and high spontaneous activity induced by myelin impairment causes motor learning which is compensated by synchronized optical stimulation

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          Most cited references51

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          Human and rodent homologies in action control: corticostriatal determinants of goal-directed and habitual action.

          Recent behavioral studies in both humans and rodents have found evidence that performance in decision-making tasks depends on two different learning processes; one encoding the relationship between actions and their consequences and a second involving the formation of stimulus-response associations. These learning processes are thought to govern goal-directed and habitual actions, respectively, and have been found to depend on homologous corticostriatal networks in these species. Thus, recent research using comparable behavioral tasks in both humans and rats has implicated homologous regions of cortex (medial prefrontal cortex/medial orbital cortex in humans and prelimbic cortex in rats) and of dorsal striatum (anterior caudate in humans and dorsomedial striatum in rats) in goal-directed action and in the control of habitual actions (posterior lateral putamen in humans and dorsolateral striatum in rats). These learning processes have been argued to be antagonistic or competing because their control over performance appears to be all or none. Nevertheless, evidence has started to accumulate suggesting that they may at times compete and at others cooperate in the selection and subsequent evaluation of actions necessary for normal choice performance. It appears likely that cooperation or competition between these sources of action control depends not only on local interactions in dorsal striatum but also on the cortico-basal ganglia network within which the striatum is embedded and that mediates the integration of learning with basic motivational and emotional processes. The neural basis of the integration of learning and motivation in choice and decision-making is still controversial and we review some recent hypotheses relating to this issue.
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            White matter in learning, cognition and psychiatric disorders.

            White matter is the brain region underlying the gray matter cortex, composed of neuronal fibers coated with electrical insulation called myelin. Previously of interest in demyelinating diseases such as multiple sclerosis, myelin is attracting new interest as an unexpected contributor to a wide range of psychiatric disorders, including depression and schizophrenia. This is stimulating research into myelin involvement in normal cognitive function, learning and IQ. Myelination continues for decades in the human brain; it is modifiable by experience, and it affects information processing by regulating the velocity and synchrony of impulse conduction between distant cortical regions. Cell-culture studies have identified molecular mechanisms regulating myelination by electrical activity, and myelin also limits the critical period for learning through inhibitory proteins that suppress axon sprouting and synaptogenesis.
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              Myelination and support of axonal integrity by glia.

              The myelination of axons by glial cells was the last major step in the evolution of cells in the vertebrate nervous system, and white-matter tracts are key to the architecture of the mammalian brain. Cell biology and mouse genetics have provided insight into axon-glia signalling and the molecular architecture of the myelin sheath. Glial cells that myelinate axons were found to have a dual role by also supporting the long-term integrity of those axons. This function may be independent of myelin itself. Myelin abnormalities cause a number of neurological diseases, and may also contribute to complex neuropsychiatric disorders.
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                Author and article information

                Contributors
                hirowake@med.kobe-u.ac.jp
                mzakim@m.u-tokyo.ac.jp
                Journal
                Glia
                Glia
                10.1002/(ISSN)1098-1136
                GLIA
                Glia
                John Wiley & Sons, Inc. (Hoboken, USA )
                0894-1491
                1098-1136
                29 August 2019
                January 2020
                : 68
                : 1 ( doiID: 10.1002/glia.v68.1 )
                : 193-210
                Affiliations
                [ 1 ] Division of Homeostatic Development National Institute for Physiological Sciences Okazaki Japan
                [ 2 ] Division of Brain Circuits National Institute for Basic Biology Okazaki Aichi Japan
                [ 3 ] Department of Neurology Graduate School of Medicine, Nagoya City University Nagoya Japan
                [ 4 ] Division of System Neuroscience Kobe University Graduate School of Medicine Kobe Japan
                [ 5 ] Precursory Research for Embryonic Science and Technology Japan Science and Technology Agency Saitama Japan
                [ 6 ] Section on Nervous System Development and Plasticity National Institutes of Health, National Institute of Child Health and Human Development Bethesda Maryland
                [ 7 ] Department of Physiology Graduate School of Medicine, The University of Tokyo Tokyo Japan
                [ 8 ] Department of Physiology, School of Medical Sciences, The University of New South Wales Sydney Australia
                [ 9 ] Department of Morphological Neural Science Graduate School of Medical Sciences, Kumamoto University Kumamoto Japan
                [ 10 ] Division of Neurobiology and Bioinformatics National Institute for Physiological Sciences Okazaki Japan
                [ 11 ] Core Research for Evolutional Science and Technology Japan Science and Technology Agency Saitama Japan
                [ 12 ] School of Life Science The Graduate School for Advanced Study Hayama Japan
                Author notes
                [*] [* ] Correspondence

                Hiroaki Wake, Division of System Neuroscience, Kobe University Graduate School of Medicine, 7‐5‐2 Kusunoki‐cho, Chuo‐ku, Kobe 650‐0017, Japan.

                Email: hirowake@ 123456med.kobe-u.ac.jp

                Masanori Matsuzaki, Department of Physiology, Graduate School of Medicine, University of Tokyo, Hongo, Bunkyo‐ku, Tokyo 113‐0033, Japan.

                Email: mzakim@ 123456m.u-tokyo.ac.jp

                Author information
                https://orcid.org/0000-0002-8543-4590
                https://orcid.org/0000-0002-2983-2498
                https://orcid.org/0000-0001-8627-0447
                Article
                GLIA23713
                10.1002/glia.23713
                6899965
                31465122
                d5b72d2d-be52-4f4c-be91-ca088ded24af
                © 2019 The Authors. Glia published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 26 March 2018
                : 23 July 2019
                : 12 August 2019
                Page count
                Figures: 9, Tables: 1, Pages: 18, Words: 14650
                Funding
                Funded by: Japan Agency for Medical Research and Development , open-funder-registry 10.13039/100009619;
                Award ID: JP17dm0107053
                Funded by: Japan Science and Technology Agency , open-funder-registry 10.13039/501100002241;
                Award ID: JPMJCR1755
                Funded by: Ministry of Education, Culture, Sports, Science and Technology , open-funder-registry 10.13039/501100001700;
                Award ID: 18H02598
                Award ID: Grants‐in‐Aid for Scientific Research
                Award ID: Grants‐in‐Aid for Scientific Research on Innovativ
                Award ID: Grants‐in‐Aid for Young Scientists (A)
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:05.12.2019

                Neurosciences
                axonal conduction,calcium imaging,motor learning,myelination,neuron–glia interactions,oligodendrocyte,optogenetics

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