Literature DB >> 25816006

Robotic neurorehabilitation in patients with chronic stroke: psychological well-being beyond motor improvement.

Rocco S Calabrò1, Maria C De Cola, Antonino Leo, Simone Reitano, Tina Balletta, Giovanni Trombetta, Antonino Naro, Margherita Russo, Francesco Bertè, Rosaria De Luca, Placido Bramanti.   

Abstract

Although gait abnormality is one of the most disabling events following stroke, cognitive, and psychological impairments can be devastating. The Lokomat is a robotic that has been used widely for gait rehabilitation in several movement disorders, especially in the acute and subacute phases. The aim of this study was to evaluate the effectiveness of gait robotic rehabilitation in patients affected by chronic stroke. Psychological impact was also taken into consideration. Thirty patients (13 women and 17 men) affected by chronic stroke entered the study. All participants underwent neurological examination with respect to ambulation, Ashworth, Functional Independence Measure, and Tinetti scales to assess their physical status, and Hamilton Rating Scale for Depression, Psychological General Well-being Index, and Coping Orientation to Problem Experienced to evaluate the Lokomat-related psychological impact before and after either a conventional treatment or the robotic training. During each rehabilitation period (separated by a no-treatment period), patients underwent a total of 40 1 h training sessions (i.e. five times a week for 8 weeks). After the conventional treatment, the patients did not achieve a significant improvement in the functional status, except balance (P<0.001) and walking ability (P<0.01), as per the Tinetti scale. Indeed, after the robotic rehabilitation, significant improvements were detected in almost all the motor and psychological scales that we investigated, particularly for Psychological General Well-being Index and Coping Orientation to Problem Experienced. Manual and robotic-assisted body weight-supported treadmill training optimizes the sensory inputs relevant to step training, repeated practice, as well as neuroplasticity. Several controlled trials have shown a superior effect of Lokomat treatment in stroke patients' walking ability and velocity in particular. Therefore, our preliminary results proved that active robotic training not only facilitates gait and physical function but also the psychological status, even in patients affected by chronic stroke.

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Year:  2015        PMID: 25816006     DOI: 10.1097/MRR.0000000000000114

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  8 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

Review 2.  Effects of robot-assisted upper limb rehabilitation in stroke patients: a systematic review with meta-analysis.

Authors:  Rachele Bertani; Corrado Melegari; Maria C De Cola; Alessia Bramanti; Placido Bramanti; Rocco Salvatore Calabrò
Journal:  Neurol Sci       Date:  2017-05-24       Impact factor: 3.307

3.  Improving motor performance in Parkinson's disease: a preliminary study on the promising use of the computer assisted virtual reality environment (CAREN).

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Vincenzo Cimino; Antonio Buda; Giuseppe Paladina; Giuseppe Di Lorenzo; Alfredo Manuli; Demetrio Milardi; Placido Bramanti; Alessia Bramanti
Journal:  Neurol Sci       Date:  2019-12-19       Impact factor: 3.307

4.  Effects of Robotic Neurorehabilitation on Body Representation in Individuals with Stroke: A Preliminary Study Focusing on an EEG-Based Approach.

Authors:  Maria Grazia Maggio; Antonino Naro; Alfredo Manuli; Giuseppa Maresca; Tina Balletta; Desirèe Latella; Rosaria De Luca; Rocco Salvatore Calabrò
Journal:  Brain Topogr       Date:  2021-03-04       Impact factor: 3.020

Review 5.  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

6.  Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

Authors:  Cira Fundarò; Anna Giardini; Roberto Maestri; Silvia Traversoni; Michelangelo Bartolo; Roberto Casale
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

7.  Improving neuropsychiatric symptoms following stroke using virtual reality: A case report.

Authors:  Rosaria De Luca; Alfredo Manuli; Carmen De Domenico; Emanuele Lo Voi; Antonio Buda; Giuseppa Maresca; Alessia Bramanti; Rocco Salvatore Calabrò
Journal:  Medicine (Baltimore)       Date:  2019-05       Impact factor: 1.817

8.  Upper Limb Rehabilitation Tools in Virtual Reality Based on Haptic and 3D Spatial Recognition Analysis: A Pilot Study.

Authors:  Eun Bin Kim; Songee Kim; Onseok Lee
Journal:  Sensors (Basel)       Date:  2021-04-15       Impact factor: 3.576

  8 in total

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