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      Neuroplastic Changes Following Brain Ischemia and their Contribution to Stroke Recovery: Novel Approaches in Neurorehabilitation

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          Abstract

          Ischemic damage to the brain triggers substantial reorganization of spared areas and pathways, which is associated with limited, spontaneous restoration of function. A better understanding of this plastic remodeling is crucial to develop more effective strategies for stroke rehabilitation. In this review article, we discuss advances in the comprehension of post-stroke network reorganization in patients and animal models. We first focus on rodent studies that have shed light on the mechanisms underlying neuronal remodeling in the perilesional area and contralesional hemisphere after motor cortex infarcts. Analysis of electrophysiological data has demonstrated brain-wide alterations in functional connectivity in both hemispheres, well beyond the infarcted area. We then illustrate the potential use of non-invasive brain stimulation (NIBS) techniques to boost recovery. We finally discuss rehabilitative protocols based on robotic devices as a tool to promote endogenous plasticity and functional restoration.

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          Most cited references203

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          The θ-γ neural code.

          Theta and gamma frequency oscillations occur in the same brain regions and interact with each other, a process called cross-frequency coupling. Here, we review evidence for the following hypothesis: that the dual oscillations form a code for representing multiple items in an ordered way. This form of coding has been most clearly demonstrated in the hippocampus, where different spatial information is represented in different gamma subcycles of a theta cycle. Other experiments have tested the functional importance of oscillations and their coupling. These involve correlation of oscillatory properties with memory states, correlation with memory performance, and effects of disrupting oscillations on memory. Recent work suggests that this coding scheme coordinates communication between brain regions and is involved in sensory as well as memory processes. Copyright © 2013 Elsevier Inc. All rights reserved.
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            Influence of interhemispheric interactions on motor function in chronic stroke.

            In patients with chronic stroke, the primary motor cortex of the intact hemisphere (M1(intact hemisphere)) may influence functional recovery, possibly through transcallosal effects exerted over M1 in the lesioned hemisphere (M1(lesioned hemisphere)). Here, we studied interhemispheric inhibition (IHI) between M1(intact hemisphere) and M1(lesioned hemisphere) in the process of generation of a voluntary movement by the paretic hand in patients with chronic subcortical stroke and in healthy volunteers. IHI was evaluated in both hands preceding the onset of unilateral voluntary index finger movements (paretic hand in patients, right hand in controls) in a simple reaction time paradigm. IHI at rest and shortly after the Go signal were comparable in patients and controls. Closer to movement onset, IHI targeting the moving index finger turned into facilitation in controls but remained deep in patients, a finding that correlated with poor motor performance. These results document an abnormally high interhemispheric inhibitory drive from M1(intact hemisphere) to M1(lesioned hemisphere) in the process of generation of a voluntary movement by the paretic hand. It is conceivable that this abnormality could adversely influence motor recovery in some patients with subcortical stroke, an interpretation consistent with models of interhemispheric competition in motor and sensory systems.
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              Modulation of brain plasticity in stroke: a novel model for neurorehabilitation.

              Noninvasive brain stimulation (NIBS) techniques can be used to monitor and modulate the excitability of intracortical neuronal circuits. Long periods of cortical stimulation can produce lasting effects on brain function, paving the way for therapeutic applications of NIBS in chronic neurological disease. The potential of NIBS in stroke rehabilitation has been of particular interest, because stroke is the main cause of permanent disability in industrial nations, and treatment outcomes often fail to meet the expectations of patients. Despite promising reports from many clinical trials on NIBS for stroke recovery, the number of studies reporting a null effect remains a concern. One possible explanation is that the interhemispheric competition model--which posits that suppressing the excitability of the hemisphere not affected by stroke will enhance recovery by reducing interhemispheric inhibition of the stroke hemisphere, and forms the rationale for many studies--is oversimplified or even incorrect. Here, we critically review the proposed mechanisms of synaptic and functional reorganization after stroke, and suggest a bimodal balance-recovery model that links interhemispheric balancing and functional recovery to the structural reserve spared by the lesion. The proposed model could enable NIBS to be tailored to the needs of individual patients.
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                Author and article information

                Contributors
                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                16 March 2017
                2017
                : 11
                : 76
                Affiliations
                [1] 1CNR Neuroscience Institute, National Research Council (CNR) Pisa, Italy
                [2] 2Laboratory of Biology, Scuola Normale Superiore Pisa, Italy
                [3] 3Translational Neural Engineering Area, The BioRobotics Institute, Scuola Superiore Sant’Anna Pontedera, Italy
                [4] 4Department of Neuroscience, Unit of Neurorehabilitation—University Hospital of Pisa Pisa, Italy
                [5] 5CNR Biophysics Institute, National Research Council (CNR) Pisa, Italy
                [6] 6Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Italian institute of Technology (IIT) Rovereto, Italy
                [7] 7Ecole Polytechnique Federale de Lausanne (EPFL), Bertarelli Foundation Chair in Translational NeuroEngineering Laboratory, Center for Neuroprosthetics and Institute of Bioengineering Lausanne, Switzerland
                Author notes

                Edited by: Daniela Tropea, Trinity College, Dublin, Ireland

                Reviewed by: Mathias Hoehn, Max Planck Institute for Neurological Research, Germany; Jennifer Grau-Sánchez, University of Barcelona, Spain; Ertugrul Kilic, Istanbul Medipol University, Turkey

                *Correspondence: Claudia Alia alia@ 123456in.cnr.it Cristina Spalletti spalletti@ 123456in.cnr.it

                These authors have contributed equally to this work.

                Article
                10.3389/fncel.2017.00076
                5352696
                28360842
                d8876b05-bb23-4134-8c0f-889f65cd5248
                Copyright © 2017 Alia, Spalletti, Lai, Panarese, Lamola, Bertolucci, Vallone, Di Garbo, Chisari, Micera and Caleo.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor 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
                : 05 December 2016
                : 03 March 2017
                Page count
                Figures: 4, Tables: 0, Equations: 0, References: 253, Pages: 22, Words: 19989
                Funding
                Funded by: Fondazione Pisa 10.13039/100007368
                Award ID: Project 158/2011
                Categories
                Neuroscience
                Review

                Neurosciences
                stroke,motor cortex,plasticity,callosal connections,non-invasive brain stimulation,local field potentials,rehabilitation,robotics

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