Literature DB >> 29148855

Effects of virtual reality-based training with BTs-Nirvana on functional recovery in stroke patients: preliminary considerations.

Rosaria De Luca1, Margherita Russo1, Antonino Naro1, Provvidenza Tomasello1, Simona Leonardi1, Floriana Santamaria1, Latella Desireè1, Alessia Bramanti1, Giuseppe Silvestri1, Placido Bramanti1, Rocco Salvatore Calabrò1.   

Abstract

AIM OF THE STUDY: Cognitive impairment occurs frequently in post-stroke patients. This study aimed to determine the effects of a virtual reality training (VRT) with BTs-Nirvana (BTsN) on the recovery of cognitive functions in stroke patients, using the Interactive-Semi-Immersive Program (I-SIP).
MATERIALS AND METHODS: We enrolled 12 subjects (randomly divided into two groups: experimental group (EG); and control group (CG)), who attended the Laboratory of Robotic and Cognitive Rehabilitation of IRCCS Neurolesi of Messina from January to June 2016. The EG underwent a VRT with BTsN, whereas CG received a standard cognitive treatment. Both the groups underwent the same conventional physiotherapy program. Each treatment session lasted 45 minutes and was repeated three times a week for 8 weeks. All the patients were evaluated by a specific clinical-psychometric battery before (T0), immediately (T1), and one month (T2) after the end of the training.
RESULTS: At T1, the EG presented a greater improvement in the trunk control test (p = 0.03), the Montreal Cognitive Assessment (p = 0.01), the selective attention assessment scores (p = 0.01), the verbal memory (p = 0.03), and the visuospatial and constructive abilities (p = 0.01), as compared to CG. Moreover, such amelioration persisted at T2 only in the EG.
CONCLUSIONS: According to these preliminary data, VRT with I-SIP can be considered a useful complementary treatment to potentiate functional recovery, with regard to attention, visual-spatial deficits, and motor function in patients affected by stroke.

Entities:  

Keywords:  Nirvana; Virtual reality; neuropsychological improvement; trunk control

Mesh:

Year:  2018        PMID: 29148855     DOI: 10.1080/00207454.2017.1403915

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


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