Motor practice effects (i.e., improvements in motor task performance with practice) are emerging as a unique variable that can predict Alzheimer's disease (AD) progression and biomarker positivity. However, the tasks used to study motor practice effects have involved face-to-face assessment, making them difficult to integrate into large internet-based cohorts that represent the next generation of AD research. The purpose of this study was to validate an online computer game against its in-lab version, which has been shown previously to characterize motor practice effects. This study leveraged young adult participants within the MindCrowd electronic cohort, a large nationwide cohort for AD research collected entirely through the internet. Validation compared performance on the online version among MindCrowd users against an age-matched cohort's performance on an in-lab version using a different controller (Xbox 360 controller joystick for in-lab sample versus keyboard arrow keys for online sample). Data indicated that the rate of skill acquisition among MindCrowd users were not significantly different from those of the in-lab cohort. Furthermore, the contact-to-consent rate observed in this study (although low) was similar to that of other online AD cohorts. Overall, this study demonstrates that implementing online games designed to study and measure motor practice effects into online research cohorts is feasible and valid. Future research will explore how online game performance is associated with age and dementia risk factors that may help further an understanding of AD.
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http://dx.doi.org/10.1089/g4h.2022.0042 | DOI Listing |
Acta Psychol (Amst)
January 2025
Department of Sport Science, School of Humanities, Damghan University, Damghan, Iran.
This study aims to investigate the effect of different implicit and explicit instructions on learning a fundamental motor skill (throwing task) in autistic children with a high propensity for reinvestment. A total of 48 male volunteer students with special educational needs aged between 7 and 9 years old were conveniently selected to practice a novel throwing motor task (slingerball). The study includes a 1-week the acquisition phase with five phases of measurements involving four groups: a) analogy, b) explicit instruction, c) errorless, and d) errorful paradigms.
View Article and Find Full Text PDFObjective: Aim: To reveal the criteria for effective treatment of this pathology and to compare it with the conventional physical factors.
Patients And Methods: Materials and Methods: The research has been taken on 60 people, A control group (CG), including 30 people, treated with basic therapy and experimental group (EG). including 30 people, treated with the same basic therapy and RSWT once per week for seven consecutive weeks.
Disabil Rehabil Assist Technol
January 2025
School of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
Background: Advancements in wearable technology have created new opportunities to monitor stroke survivors' behaviors in daily activities. Research insights are needed to guide its adoption in clinical practice, address current gaps, and shape the future of stroke rehabilitation. This project aims to: (1) Understand stroke rehabilitation researchers' perspectives on the opportunities, challenges, and clinical relevance of wearable technology for stroke rehabilitation, and (2) Identify necessary next steps to integrate wearable technology in research and clinical practice.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Center for Satellite Application on Environment, Ministry of Ecology and Environment, Beijing 100094, China.
The edge structures of carbonaceous materials exhibit temperature-dependent behavior on the atomic scale, with variations in the relative ratios of zigzag, reconstructed 5-7 zigzag (ZZ57), and armchair edges observed at different temperatures. Nevertheless, the mechanisms underlying the interconversion of these edge structures and the influence of the surrounding metals remain unclear. This study investigates the reconstruction and reversible transformation processes of ZZ57 edge structures in carbon materials and examines the effects of different metal atoms (Na, K, and Ca) by using density functional theory.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, Piazzale Aldo Moro 5, Rome, 00185, ITALY.
Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to analyze neural activity in vivo remains a challenge, requiring a delicate balance between efficiency in low-data regimes and the interpretability of the results. Approach: To address this challenge, we introduce a novel specialized transformer architecture to analyze single-neuron spiking activity.
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