Background/Objectives: Multiple sclerosis (MS) often leads to gait impairments, even in early stages, and can affect autonomy and quality of life. Traditional assessment methods, while widely used, have been criticized because they lack sensitivity to subtle gait changes. This scoping review aims to map the landscape of advanced gait analysis technologies—both wearable and non-wearable—and evaluate their application in detecting, characterizing, and monitoring possible gait dysfunction in individuals with MS. Methods: A systematic search was conducted across PubMed and Scopus databases for peer-reviewed studies published in the last decade. Inclusion criteria focused on original human research using technological tools for gait assessment in individuals with MS. Data from 113 eligible studies were extracted and categorized based on gait parameters, technologies used, study design, and clinical relevance. Results: Findings highlight a growing integration of advanced technologies such as inertial measurement units, 3D motion capture, pressure insoles, and smartphone-based tools. Studies primarily focused on spatiotemporal parameters, joint kinematics, gait variability, and coordination, with many reporting strong correlations to MS subtype, disability level, fatigue, fall risk, and cognitive load. Real-world and dual-task assessments emerged as key methodologies for detecting subtle motor and cognitive-motor impairments. Digital gait biomarkers, such as stride regularity, asymmetry, and dynamic stability demonstrated high potential for early detection and monitoring. Conclusions: Advanced gait analysis technologies can provide a multidimensional, sensitive, and ecologically valid approach to evaluating and detecting motor function in MS. Their clinical integration supports personalized rehabilitation, early diagnosis, and long-term disease monitoring. Future research should focus on standardizing metrics, validating digital biomarkers, and leveraging AI-driven analytics for real-time, patient-centered care.

Background/Objectives: The incorporation of biomechanics into stroke neurorehabilitation may serve to strengthen the effectiveness of rehabilitation strategies by increasing our understanding of human movement and recovery processes. The present bibliometric analysis of biomechanics research in stroke neurorehabilitation is conducted with the objectives of identifying influential studies, key trends, and emerging research areas that would inform future research and clinical practice. Methods: A comprehensive bibliometric analysis was performed using documents retrieved from the Scopus database on 6 August 2024. The analysis included performance metrics such as publication counts and citation analysis, as well as science mapping techniques, including co-authorship, bibliographic coupling, co-citation, and keyword co-occurrence analyses. Data visualization tools such as VOSviewer and Power BI were utilized to map the bibliometric networks and trends. Results: An overabundance of recent work has yielded substantial advancements in the application of brain–computer interfaces to electroencephalography and functional neuroimaging during stroke neurorehabilitation., which translate neural activity into control signals for external devices and provide critical insights into the biomechanics of motor recovery by enabling precise tracking and feedback of movement during rehabilitation. A sampling of the most impactful contributors and influential publications identified two leading countries of contribution: the United States and China. Three prominent research topic clusters were also noted: biomechanical evaluation and movement analysis, neurorehabilitation and robotics, and motor recovery and functional rehabilitation. Conclusions: The findings underscore the growing integration of advanced technologies such as robotics, neuroimaging, and virtual reality into neurorehabilitation practices. These innovations are poised to enhance the precision and effectiveness of therapeutic interventions. Future research should focus on the long-term impacts of these technologies and the development of accessible, cost-effective tools for clinical use. The integration of multidisciplinary approaches will be crucial in optimizing patient outcomes and improving the quality of life for stroke survivors.

The progressive nature of dementia necessitates early detection strategies capable of identifying preclinical cognitive decline. Gait disturbances, mediated by higher-order cognitive functions, have emerged as potential digital biomarkers in this context. This bibliometric review systematically maps the scientific output from 2010 to 2025 on the application of wearable sensor technologies and gait analysis in the early diagnosis of dementia. A targeted search of the Scopus database yielded 126 peer-reviewed studies, which were analyzed using VOSviewer for performance metrics, co-authorship networks, bibliographic coupling, co-citation, and keyword co-occurrence. The findings delineate a multidisciplinary research landscape, with major contributions spanning neurology, geriatrics, biomedical engineering, and computational sciences. Four principal thematic clusters were identified: (1) Cognitive and Clinical Aspects of Dementia, (2) Physical Activity and Mobility in Older Adults, (3) Technological and Analytical Approaches to Gait and Frailty and (4) Aging, Cognitive Decline, and Emerging Technologies. Despite the proliferation of research, significant gaps persist in longitudinal validation, methodological standardization, and integration into clinical workflows. This review emphasizes the potential of sensor-derived gait metrics to augment early diagnostic protocols and advocates for interdisciplinary collaboration to advance scalable, non-invasive diagnostic solutions for neurodegenerative diseases.

A stroke can cause significant dysfunction of the upper limb, severely affecting performance in everyday occupations. The task-oriented approach is grounded in occupational therapy principles and emphasizes the use of meaningful occupations to promote functional recovery. This review examines the effectiveness of the task-oriented approach during occupational therapy rehabilitation of the upper extremity following stroke. A comprehensive search was conducted on English-language literature published between 2018 and 2023, utilizing the databases Medline, Scopus and Google Scholar, as a supplementary source. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, an intensive screening process led to the inclusion of 16 relevant articles in this review. The methodological quality of the studies was assessed using the PEDro Scale. A narrative synthesis was conducted to summarize and interpret the findings of the included studies, which consisted of controlled trials examining the effectiveness of task-oriented interventions delivered alone or in combination with other rehabilitative approaches. The task-oriented approach was studied alongside (a) assistive technology, (b) the Bobath method, (c) mirror therapy, (d) Botulinum Toxin injections, and (e) other therapeutic techniques. Findings indicate that these interventions effectively enhance motor function, self-perceived arm use, and performance in activities of daily living. Integrating task-oriented therapy with the aforementioned therapeutic techniques is effective in managing the hemiplegic upper extremity after stroke. This review supports the implementation of the task-oriented approach in upper limb stroke rehabilitation, either alone or combined with other approaches. Nevertheless, due to the high heterogeneity of the task-oriented interventions studied, further research is required to comprehensively assess their efficacy in upper limb rehabilitation.

Background/Objectives: Driving performance and competence represent a complex functional domain that may be affected in some individuals with schizophrenia. This scoping review aimed to map existing evidence characterizing driving-related functioning by identifying the cognitive, pharmacological and functional factors that influence driving ability and by synthesizing findings from experimental, neurocognitive and population-based studies. Methods: A structured search of the PubMed, Scopus and ScienceDirect databases was performed in accordance with PRISMA-ScR guidelines to identify studies published between 2015 and 2025 that examined cognitive, pharmacological and functional dimensions of driving in individuals with schizophrenia. Extracted data were narratively and thematically synthesized. Eleven studies met the inclusion criteria. Results: Findings clustered into three domains: cognitive, including attention, executive function, reaction time and visuospatial processing; pharmacological, encompassing drug comparisons, dosage, side effects and treatment stability; and functional, covering license status, driving participation, driving cessation, avoidance behaviors and self-regulation. Conclusions: This review integrates current evidence within a multidimensional and conditional framework, highlighting interactions between cognitive functioning, pharmacological factors, and compensatory self-regulation in individuals with schizophrenia. Understanding these interrelations may inform individualized fitness-to-drive evaluations and contribute to structured, context-sensitive interpretation of driving-related evidence in clinical and regulatory settings.

Background/Objectives: The aim of this systematic review is to assess the effect of music therapy initiated during neonatal intensive care unit (NICU) hospitalization on the early neurodevelopment of infants and to evaluate its impact on functional improvements in children with neurological deficits. Numerous studies underscore the benefits of neurological music therapy (NMT) for treating various neurological conditions. Methods: This systematic review (SR) specifically includes randomized controlled trials (RCTs) and draws from a comprehensive search of articles in the Scopus and MEDLINE databases. Eligible studies examined the effects of NMT on infants and children with central nervous system static lesions. Eighteen studies met all inclusion criteria, and the overall quality of the evidence was high. Results: However, while NMT appears to be well-tolerated by most neonates and children and holds promise for enhancing functional and physiological development, its impact on specific biomarkers in neurological conditions remains underexplored. Further research is essential to clarify NMT’s potential role in rehabilitation and to optimize therapeutic approaches for neurological support.