Literature DB >> 35585844

Combining Robot-Assisted Gait Training and Non-Invasive Brain Stimulation in Chronic Stroke Patients: A Systematic Review.

Federica Bressi1, Alex Martino Cinnera2, Giovanni Morone2, Benedetta Campagnola1, Laura Cricenti1, Fabio Santacaterina1, Sandra Miccinilli1, Loredana Zollo3, Stefano Paolucci2, Vincenzo Di Lazzaro4, Silvia Sterzi1, Marco Bravi1.   

Abstract

Gait impairment is one of the most common disorders of patients with chronic stroke, which hugely affects the ability to carry out the activities of daily living and the quality of life. Recently, traditional rehabilitation techniques have been associated with non-invasive brain stimulation (NIBS) techniques, which enhance brain plasticity, with the aim of promoting recovery in patients with chronic stroke. NIBS effectiveness in improving gait parameters in patients with chronic stroke has been in several studies evaluated. Robotic devices are emerging as promising tools for the treatment of stroke-related disabilities by performing repetitive, intensive, and task-specific treatments and have been proved to be effective for the enhancement of motor recovery in patients with chronic stroke. To date, several studies have examined the combination of NIBS with robotic-assisted gait training, but the effectiveness of this approach is not yet well established. The main purpose of this systematic review is to clarify whether the combination of NIBS and robot-assisted gait training may improve walking function in patients with chronic stroke. Our systematic review was conducted according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Studies eligible for review were identified through PubMed/MEDLINE, Embase, Scopus, and PEDro from inception to March 15, 2021, and the outcomes considered were gait assessments. Seven studies were included in the qualitative analysis of this systematic review, with a total population of 186 patients with chronic stroke. All studies specified technical characteristics of robotic devices and NIBS used, with high heterogeneity of protocols. Methodological studies have shown a significantly greater improvement in walking capacity recorded with 6MWT. Finally, research studies have highlighted a positive effect on walking recovery by combination of robot-assisted gait training with non-invasive brain stimulation. Furthermore, future studies should identify the best characteristics of the combined therapeutic protocols. Systematic Review Registration: CRD42021244869.
Copyright © 2022 Bressi, Cinnera, Morone, Campagnola, Cricenti, Santacaterina, Miccinilli, Zollo, Paolucci, Di Lazzaro, Sterzi and Bravi.

Entities:  

Keywords:  NIBS; TMS; chronic stroke; exoskeleton; robot-assisted; robotics; transcranial direct current stimulation; transcranial magnetic stimulation

Year:  2022        PMID: 35585844      PMCID: PMC9108455          DOI: 10.3389/fneur.2022.795788

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.086


  40 in total

1.  Cathodal transcutaneous spinal direct current stimulation (tsDCS) improves motor unit recruitment in healthy subjects.

Authors:  Tommaso Bocci; Beatrice Vannini; Antonio Torzini; Andrea Mazzatenta; Maurizio Vergari; Filippo Cogiamanian; Alberto Priori; Ferdinando Sartucci
Journal:  Neurosci Lett       Date:  2014-06-23       Impact factor: 3.046

2.  Effect of Cerebellar Stimulation on Gait and Balance Recovery in Patients With Hemiparetic Stroke: A Randomized Clinical Trial.

Authors:  Giacomo Koch; Sonia Bonnì; Elias Paolo Casula; Marco Iosa; Stefano Paolucci; Maria Concetta Pellicciari; Alex Martino Cinnera; Viviana Ponzo; Michele Maiella; Silvia Picazio; Fabrizio Sallustio; Carlo Caltagirone
Journal:  JAMA Neurol       Date:  2019-02-01       Impact factor: 18.302

3.  Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association.

Authors:  Salim S Virani; Alvaro Alonso; Emelia J Benjamin; Marcio S Bittencourt; Clifton W Callaway; April P Carson; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Francesca N Delling; Luc Djousse; Mitchell S V Elkind; Jane F Ferguson; Myriam Fornage; Sadiya S Khan; Brett M Kissela; Kristen L Knutson; Tak W Kwan; Daniel T Lackland; Tené T Lewis; Judith H Lichtman; Chris T Longenecker; Matthew Shane Loop; Pamela L Lutsey; Seth S Martin; Kunihiro Matsushita; Andrew E Moran; Michael E Mussolino; Amanda Marma Perak; Wayne D Rosamond; Gregory A Roth; Uchechukwu K A Sampson; Gary M Satou; Emily B Schroeder; Svati H Shah; Christina M Shay; Nicole L Spartano; Andrew Stokes; David L Tirschwell; Lisa B VanWagner; Connie W Tsao
Journal:  Circulation       Date:  2020-01-29       Impact factor: 29.690

4.  Combined transcranial direct current stimulation and robot-assisted gait training in patients with chronic stroke: a preliminary comparison.

Authors:  Christian Geroin; Alessandro Picelli; Daniele Munari; Andreas Waldner; Christopher Tomelleri; Nicola Smania
Journal:  Clin Rehabil       Date:  2011-03-14       Impact factor: 3.477

Review 5.  Efficacy of physiotherapy interventions late after stroke: a meta-analysis.

Authors:  Francesco Ferrarello; Marco Baccini; Lucio Antonio Rinaldi; Maria Chiara Cavallini; Enrico Mossello; Giulio Masotti; Niccolò Marchionni; Mauro Di Bari
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-09-08       Impact factor: 10.154

6.  Brain stimulation paired with novel locomotor training with robotic gait orthosis in chronic stroke: a feasibility study.

Authors:  Megan M Danzl; Kenneth C Chelette; Kara Lee; Dana Lykins; Lumy Sawaki
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

Review 7.  Neurostimulation for Stroke Rehabilitation.

Authors:  Windsor Kwan-Chun Ting; Faïza Abdou-Rahaman Fadul; Shirley Fecteau; Christian Ethier
Journal:  Front Neurosci       Date:  2021-05-14       Impact factor: 4.677

Review 8.  Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.

Authors:  Giovanni Morone; Stefano Paolucci; Andrea Cherubini; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Marco Iosa
Journal:  Neuropsychiatr Dis Treat       Date:  2017-05-15       Impact factor: 2.570

9.  Effects of Exoskeleton Gait Training on Balance, Load Distribution, and Functional Status in Stroke: A Randomized Controlled Trial.

Authors:  Anna Rojek; Anna Mika; Łukasz Oleksy; Artur Stolarczyk; Renata Kielnar
Journal:  Front Neurol       Date:  2020-01-15       Impact factor: 4.003

10.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2020-10-22
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