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Advances in Neurological Rehabilitation: Innovations and Clinical Insights
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Advances in Neurological Rehabilitation: Innovations and Clinical Insights

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

Deadline for manuscript submissions: 20 February 2026 | Viewed by 2313

Special Issue Editor

Dr. Anna Berardi

E-Mail Website
Guest Editor
Department of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
Interests: rehabilitation; occupational therapy; outcome measures; systematic reviews
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of neurology rehabilitation has witnessed significant advancements, offering new perspectives on the management of individuals with neurological conditions. From innovative rehabilitation pathways to the development of assessment tools, the integration of evidence-based approaches continues to enhance outcomes and redefine standards of care. This Special Issue invites authors to submit original research, clinical studies, and systematic reviews focused on the latest developments in neurological rehabilitation. Contributions may explore diverse topics, including the effectiveness of novel rehabilitation programs, the utility and validation of assessment tools, and comprehensive reviews of existing evidence. By disseminating cutting-edge findings, this Special Issue will advance our understanding and application of neurology rehabilitation practices, ultimately improving the quality of care for individuals with neurological disorders.

Dr. Anna Berardi
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • rehabilitation
  • neurology
  • assessment
  • occupational therapy
  • disability
  • inclusion

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Published Papers (2 papers)

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Research

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19 pages, 585 KB  
Article
Cross-Sectional Study of Bone Mineral Density in Chronic Stroke According to Walking Speed
by Maria-Arantzazu Ruescas-Nicolau, M. Luz Sánchez-Sánchez, Mónica Ahulló, Carmen Ballester-Estevan and Marco Iosa
J. Clin. Med. 2025, 14(23), 8426; https://doi.org/10.3390/jcm14238426 - 27 Nov 2025
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Abstract
Background/Objectives: Bone mineral density (BMD) assessments are uncommon in people with chronic stroke, and the relationship between BMD and gait speed remains poorly understood. This study examined between-limb differences in BMD of individuals with chronic stroke and limited versus non-limited community ambulation [...] Read more.
Background/Objectives: Bone mineral density (BMD) assessments are uncommon in people with chronic stroke, and the relationship between BMD and gait speed remains poorly understood. This study examined between-limb differences in BMD of individuals with chronic stroke and limited versus non-limited community ambulation and analyzed the relationship between BMD and gait speed. Methods: This cross-sectional study included people with chronic stroke divided into two groups by walking speed (slow group [SG], <0.8 m/s, n = 38, and fast group [FG], ≥0.8 m/s, n = 46) and age- and sex-matched healthy individuals (control group [CG], n = 35). All participants underwent calcaneal ultrasound densitometry. Results: All the BMD parameters differed significantly between limbs in the SG, with the affected side demonstrating inferior outcomes. The FG only exhibited a significant difference in the broadband ultrasonic attenuation, with lower values on the affected side. Among groups, the SG demonstrated lower values in the affected leg for all parameters compared with the corresponding limb of both the FG and the CG. Furthermore, the SG demonstrated reduced speed of sound (SOS) in the non-affected limb compared with the FG’s in theirs. Multiple regression analysis revealed that the ambulation ability, the affected gastrocnemius spasticity, disability, and SOS of the affected limb together explained 71.9% of the gait speed variance. Conclusions: Among stroke survivors, a slower gait speed is associated with greater between-limb differences in BMD. SOS in the affected limb emerged as a key predictor of gait speed. This highlights the need for more thorough BMD evaluations for stroke patients. Full article
(This article belongs to the Special Issue Advances in Neurological Rehabilitation: Innovations and Clinical Insights)
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Review

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13 pages, 756 KB  
Review
Exploring the Effectiveness of Immersive Virtual Reality Rehabilitation for Parkinson’s Disease: A Narrative Review
by Roxana Nartea, Daniela Poenaru, Mariana Isabela Constantinovici, Claudia Gabriela Potcovaru and Delia Cinteza
J. Clin. Med. 2025, 14(19), 6858; https://doi.org/10.3390/jcm14196858 - 28 Sep 2025
Cited by 2 | Viewed by 1579
Abstract
Parkinson’s disease (PD) presents an association of motor and non-motor impairments that impact the independence and quality of life of individuals. Rehabilitation programs must address multiple domains, simultaneously maintaining patients’ adherence and the implications of the disease. Immersive virtual-reality-based rehabilitation (IVRBR) is a [...] Read more.
Parkinson’s disease (PD) presents an association of motor and non-motor impairments that impact the independence and quality of life of individuals. Rehabilitation programs must address multiple domains, simultaneously maintaining patients’ adherence and the implications of the disease. Immersive virtual-reality-based rehabilitation (IVRBR) is a promising alternative tool, or can be used in conjunction with traditional or passive programs, using interactive tasks in valid environments with specific training programs adapted to each individual’s needs. This narrative review synthesizes the medical literature published in the last decade from PubMed, Scopus, and Web of Science, on the effectiveness, limitations, and implementations of IVRBR in PD patients. Evidence from RTCs and non-RTCs suggests that IVRBR can improve balance, motor learning, and dual task performance. At the same time, the evidence suggests that it can improve cognitive and emotional status. The integration of objective assessment tools (motion and posture analyses, wearable sensors, center of pressures and machine learning models capable of predicting freezing gait-FoG) enhances clinical and individualized rehabilitation programs. However, the evidence base remains limited, with a small sample size, heterogeneity in measured outcomes, and short follow-up duration. In general, reported adverse reactions were minor, but required standardized reporting patterns. Implementation is challenging due to the equipment cost and varying technological demands, but also due to patient selection and training of the medical personnel. IVRBR is a feasible and engaging alternative or can form part of an individualized rehabilitation program in PD patients; however, future large RTCs, long-term follow-up with standardized protocols, cost-effectiveness analyses, and integration of predictive modeling are essential for its broader clinical usage. Full article
(This article belongs to the Special Issue Advances in Neurological Rehabilitation: Innovations and Clinical Insights)
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