Background: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor impairments, especially in the area of gait disturbances. Physiotherapy, with a focus on task-specific training, has demonstrated a level of efficacy as regards alleviating symptoms and enhancing functional capabilities in individuals with PD. Repetitive Transcranial Magnetic Stimulation (rTMS) has emerged as a potential therapeutic intervention for improving motor functions in individuals with PD.
Aims: This review article aims to investigate the effects of combining rTMS with task-specific training on gait performance in individuals with PD.
Materials And Methods: PubMed, Physiotherapy Evidence Database (PEDro), and Scopus were all searched for relevant studies. The focus of the search was on studies that investigated the efficacy of combining rTMS with task-specific training to improve gait performance in individuals with PD.
Results: Four studies were identified as fulfilling the eligibility criteria and were included in the study. The combination of rTMS with specific treadmill training and weight-bearing exercises can significantly enhance walking efficiency, including improvements in walking speed, self-mobility, and step rate. In addition, the combination of rTMS and task-specific training, such as treadmill-based training, shows promise in enhancing gait performance in individuals with PD.
Discussion And Conclusion: High-frequency rTMS targeting the primary motor cortex (or M1) can result in improved walking speed, self-mobility, and step rate. However, limited research exists regarding low-frequency stimulation of the supplementary motor area (SMA) in individuals with gait issues. Further research is required to determine the optimal parameters of rTMS, such as strength, frequency, and duration of stimulation and it is worth considering the incorporation of additional training modalities, including cognitive exercises.
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http://dx.doi.org/10.1002/pri.2105 | DOI Listing |
J Orthop Sci
December 2024
The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, China; Department of Orthopaedic Surgery, Fuzhou Second Hospital, Fuzhou, Fujian, China.
Background: Hip fracture affects millions of persons and is associated with excess morbidity and mortality. More knowledge is needed to regard the prolonged effects of intensive exercise in relatively frail hip fracture patients. In this meta-analysis, we want to determine whether intensity strength training in patients after hip fracture is superior to general exercises in improving physical function.
View Article and Find Full Text PDFBMC Anesthesiol
December 2024
Department of Anesthesiology, Ningbo No.2 Hospital, No.41, Northwest Street, Ningbo, 315010, P.R. China.
Background: Developing proficiency in ultrasound-guided nerve block (UGNB) demands an intricate understanding of cross-sectional anatomy as well as spatial reasoning, which is a big challenge for beginners. The aim of this pilot study was to evaluate the feasibility of virtual reality (VR)-facilitated anatomy education in the first performance of ultrasound-guided interscalene brachial plexus blockade among novice anesthesiologists. We carried out pilot testing of this hypothesis using a prospective, single blind, randomized controlled trial.
View Article and Find Full Text PDFbioRxiv
December 2024
Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Pre-trained language models have transformed the field of natural language processing (NLP), and their success has inspired efforts in genomics to develop domain-specific foundation models (FMs). However, creating high-quality genomic FMs from scratch is resource-intensive, requiring significant computational power and high-quality pre-training data. The success of large language models (LLMs) in NLP has largely been driven by industrial-scale efforts leveraging vast, diverse corpora and massive computing infrastructure.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
CEIEC, Universidad Francisco de Vitoria, Pozuelo de Alarcón, 28223 Madrid, Spain.
Objectives: We evaluate the effectiveness of large language models (LLMs), specifically GPT-based (GPT-3.5 and GPT-4) and Llama-2 models (13B and 7B architectures), in autonomously assessing clinical records (CRs) to enhance medical education and diagnostic skills.
Materials And Methods: Various techniques, including prompt engineering, fine-tuning (FT), and low-rank adaptation (LoRA), were implemented and compared on Llama-2 7B.
BMC Pediatr
December 2024
Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Üsküdar University, Istanbul, Türkiye.
Background: Although perceptual interventions focus on sensory and cognitive skills, they significantly enhance the effectiveness of motor interventions by improving coordination, decision-making, and overall engagement in physical activities. A comprehensive literature review has demonstrated that incorporating perceptual interventions into motor exercises is beneficial. While there are several treatment strategies for SLD-diagnosed children, the potential role of goal-directed perceptual-motor exercises has not been studied.
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