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Objective: To examine the short-term and long-term effects of computer-based cognitive training on postural stability, locomotion, and cognitive performance in Parkinson's disease (PD) patients.
Methods: Sixty-eight PD participated in this randomized-controlled trial, were randomly allocated into two groups; control group (GA) received a designed physiotherapy program for 60 minutes, and an experimental group (GB) got 30 minutes physiotherapy program as GA, along with 30 minutes of computerized cognitive training. Treatment sessions were three times/week for eight weeks. Primary outcomes were balance and spatiotemporal gait parameters; cognition was a secondary outcome. Primary and secondary measures were examined at baseline, immediately post-treatment, and three months post-treatment.
Results: From baseline to post-treatment, GB showed greater reductions in postural sway compared to GA. The mean differences in stability indices were 1.461±1.240, 0.982±1.185, and 1.006±0.982 in GB, vs. 0.581±1.503, 0.426±1.459, and 0.374±1.072 in GA. For gait parameters (gait velocity, stride length, and cadence), GB demonstrated larger improvements, with mean differences of -0.361±0.245, -0.242±0.158, and -11.606±12.628, compared to -0.155±0.254, -0.191±0.248, and -4.516±10.773 in GA. PD-Cognitive Rating Scale improved more substantially in GB (-16.091±6.978) than in GA (-1.129±4.552). These gains in postural stability, gait, and cognition were statistically significant (p<0.001) and sustained at the 3-month follow-up.
Conclusion: Computerized cognitive training as an add-on in the rehabilitation of PD is efficient in improving postural stability and locomotion, as well as the cognitive performance. The consistency of these findings for 3 months is an imperative point in the clinical course of PD patients.
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http://dx.doi.org/10.5535/arm.250067 | DOI Listing |
J Dent Educ
September 2025
Department of Oral and Maxillofacial Surgery, Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, P. R. China.
Background: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education.
Purpose: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions.
Alzheimers Res Ther
September 2025
Motor Control and Learning Group, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Leopold-Ruzicka-Weg 4, Zurich, 8093, Switzerland.
Alzheimers Dement
September 2025
Multiomics Investigation of Neurodegenerative Diseases (MIND) Lab, Montréal, Québec, Canada.
Living with dementia requires decision making about numerous topics including daily activities and advance care planning (ACP). Both individuals living with dementia and care partners require informed support for decision making. We conducted an umbrella review to assess knowledge translation (KT) interventions supporting decision making for individuals living with dementia and their informal care partners.
View Article and Find Full Text PDFJ Forensic Leg Med
September 2025
Pathology and Lab Medicine, AIIMS, Bibinagar, Telangana, India.
The R-I-M-E framework, an acronym for Reporter, Interpreter, Manager, and Educator, is a developmental model designed to evaluate and enhance clinical competence among medical trainees. Introduced by Dr. Louis Pangaro in the 1990s, it has gained widespread acceptance in medical education due to its clarity, structured approach, and applicability across specialties.
View Article and Find Full Text PDF