New Advances in Neurorehabilitation after Stroke

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Rehabilitation".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 613

Special Issue Editors


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Guest Editor
Department of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, 40138 Bologna, Italy
Interests: robotic rehabilitation; virtual reality; telerehabilitation; neurorehabilitation; stroke rehabilitation; motion analysis; postural balance; upper limb

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Guest Editor
Department of Neurological and Rehabilitation Sciences, IRCSS San Raffaele Roma, Via della Pisana, 235, 000163 Rome, Italy
Interests: robotic rehabilitation; telerehabilitation; virtual reality; neurorehabilitation; stroke rehabilitation; Parkinson’s disease; physical therapy; movement disorders; injury prevention; motion analysis; gait analysis; postural balance

Special Issue Information

Dear Colleagues,

The number of people with disabilities and the complexity of their needs and those of their families continue to increase despite advances in technology and health care. This increase is also directly related to the rapid aging of the world's population and the increase in age-related diseases. According to the World Health Organization, 15 million people worldwide suffer a stroke each year. Of these people, about one-third are functionally disabled and have difficulty regaining their independence. New technologies have been integrated into the rehabilitation field to improve the effectiveness of rehabilitation strategies for these conditions. These include robotic rehabilitation, virtual reality, functional electrical stimulation, noninvasive brain stimulation (NIBS) to improve the intensity and quality of neurorehabilitation and affect brain excitability and plasticity, and innovative approaches such as assistive technologies and domotics.

Also, exploring the effects of neurorehabilitation technologies and NIBS on plasticity through the use of advanced technologies (e.g., functional MRI, near-infrared spectroscopy, high-density EEG, etc.) may provide a surrogate for outcome measurement in the near future. Translational models are important to provide a solid neurobiological basis for current advanced rehabilitation approaches in stroke. The correlation between central nervous system lesions and clinical features and outcomes provides the basis for tailored neurorehabilitation, a promising perspective to explain the differential individual responses to treatment and improve the quality of care. Defining new approaches to the acute and chronic phases of neurological disease and the most appropriate timing will play a key role in optimizing neurorehabilitation interventions. In addition, new randomized controlled trials are being developed to investigate the role of combined drug and physical therapy treatment.

The scope of this special issue and the type of contributions we are soliciting is to bring together research activities on innovative technologies for both assessment and treatment in stroke rehabilitation and to update knowledge on the latest advances in neurorehabilitation.

Dr. Andrea Turolla
Dr. Sanaz Pournajaf
Guest Editors

Manuscript Submission Information

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Keywords

  • stroke
  • innovative technologies
  • robotic rehabilitation
  • virtual reality
  • telerehabilitation
  • Transcranial Direct Current Stimulation (tDCS)
  • Transcranial Magnetic Stimulation (TMS)
  • functional outcome predictors

Published Papers (1 paper)

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Research

11 pages, 1503 KiB  
Article
Reliability and Validity of the Spanish Version of the Brief-BESTest in Stroke Patients
by Beatriz Hernández-Moreda, Inés Llamas-Ramos, Rocío Llamas-Ramos, Juan Luis Sánchez-González, Beatriz María Bermejo-Gil, Fátima Pérez-Robledo, Elisa Frutos-Bernal and Ana María Martín-Nogueras
J. Clin. Med. 2024, 13(10), 2873; https://doi.org/10.3390/jcm13102873 - 13 May 2024
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Abstract
Background: Balance disorders and postural control treatments play an important role in fall prevention. The Brief-BESTest is a short-scale employed to evaluate balance and fall risk in different populations. Balance assessment is a fundamental element in patients with Acquired Brain Injury rehabilitation [...] Read more.
Background: Balance disorders and postural control treatments play an important role in fall prevention. The Brief-BESTest is a short-scale employed to evaluate balance and fall risk in different populations. Balance assessment is a fundamental element in patients with Acquired Brain Injury rehabilitation since postural alteration is one of the most frequent sequelae. The objective was to validate the Spanish version of the Brief-BESTest questionnaire in the stroke population. Methods: Subjects of both sexes aged over 18 years with a diagnosis of acute/chronic stroke were included. The BESTest, Mini-BESTest, Brief-BESTest, Berg Balance Scale, and Timed Up & Go Test were used to assess balance. The scales were implemented once. Cronbach’s alpha coefficient was used to assess the internal consistency and confirmatory factorial analysis was employed to assess validity. Results: A total of 44 patients with a mean age of 65.35 years (SD = 10.665) participated. Cronbach’s alpha coefficient showed a high internal consistency with a value of 0.839. In the criterion validity, there was a high positive correlation between the Brief-BESTest and BESTest (r = 0.879), Mini-BESTest (r = 0.808), and Berg Balance Scale (r = 0.711). Conclusion: The Spanish version of the Brief-BESTest scale is valid and reliable, showing adequate psychometric properties for balance assessment in patients with acute or chronic stroke. Full article
(This article belongs to the Special Issue New Advances in Neurorehabilitation after Stroke)
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