Literature DB >> 22868224

Inter-hemispheric coupling changes associate with motor improvements after robotic stroke rehabilitation.

G Pellegrino1, L Tomasevic, M Tombini, G Assenza, M Bravi, S Sterzi, V Giacobbe, L Zollo, E Guglielmelli, G Cavallo, F Vernieri, F Tecchio.   

Abstract

PURPOSE: In the chronic phase of stroke brain plasticity plays a crucial role for further motor control improvements. This study aims to assess the brain plastic reorganizations and their association with clinical progresses induced by a robot-aided rehabilitation program in chronic stroke patients.
METHODS: 7 stroke patients with an upper limb motor impairment in chronic phase underwent a multi-modal evaluation before starting and at the end of a 12-week upper-limb neurorehabilitation program. Fugl-Meyer Assessment (FMA) Scale scores and performance indices of hand movement performance (isometric pinch monitored through a visual feedback) were collected. Cerebral reorganizations were characterized by 32-channel electroencephalography (EEG) focusing on ipsilesional and contralesional resting state properties investigating both bipolar derivations overlying the middle cerebral artery territory and the primary somatosensory sources (S1) obtained through the Functional Source Separation (FSS) method. Power Spectral Density (PSD) and interhemispheric coherence (IHCoh) at rest were measured and correlated with clinical and hand control robot-induced improvements.
RESULTS: After the robotic rehabilitation we found an improvement of FMAS scores and hand motor control performance and changes of brain connectivity in high frequency rhythms (24-90 Hz). In particular, the improvement of motor performance correlated with the modulation of the interhemispheric S1 coherence in the high beta band (24-33 Hz).
CONCLUSIONS: Recently it has been shown that an upper limb robot-based rehabilitation improves motor performance in stroke patients. We confirm this potential and demonstrate that a robot-aided rehabilitation program induces brain reorganizations. Specifically, interhemispheric connectivity between primary somatosensory areas got closer to a 'physiological level' in parallel with the acquisition of more accurate hand control.

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Mesh:

Year:  2012        PMID: 22868224     DOI: 10.3233/RNN-2012-120227

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  35 in total

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Authors:  Jessica M Cassidy; Steven C Cramer
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2.  Transcranial direct current stimulation over the sensory-motor regions inhibits gamma synchrony.

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3.  Role of Interhemispheric Cortical Interactions in Poststroke Motor Function.

Authors:  Jacqueline A Palmer; Lewis A Wheaton; Whitney A Gray; Mary Alice Saltão da Silva; Steven L Wolf; Michael R Borich
Journal:  Neurorehabil Neural Repair       Date:  2019-07-22       Impact factor: 3.919

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Authors:  G Zito; E Luders; L Tomasevic; D Lupoi; A W Toga; P M Thompson; P M Rossini; M M Filippi; F Tecchio
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5.  Evaluating interhemispheric cortical responses to transcranial magnetic stimulation in chronic stroke: A TMS-EEG investigation.

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6.  Connectivity Measures Differentiate Cortical and Subcortical Sub-Acute Ischemic Stroke Patients.

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Journal:  Front Hum Neurosci       Date:  2021-07-01       Impact factor: 3.169

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Authors:  Giovanni Pellegrino; Tanguy Hedrich; Viviane Sziklas; Jean-Marc Lina; Christophe Grova; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2021-05-18       Impact factor: 5.038

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Journal:  Behav Brain Funct       Date:  2013-04-22       Impact factor: 3.759

9.  Age-Related Changes in Electroencephalographic Signal Complexity.

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10.  Neural Correlates of Motor Recovery after Robot-Assisted Training in Chronic Stroke: A Multimodal Neuroimaging Study.

Authors:  Cheng Chen; Kai Yuan; Xin Wang; Ahsan Khan; Winnie Chiu-Wing Chu; Raymond Kai-Yu Tong
Journal:  Neural Plast       Date:  2021-06-09       Impact factor: 3.599

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