Background: Although cognitive training is effective for people with mild cognitive impairment (MCI), it is not clear which format is more effective.
Objective: To compare the effectiveness of the same language programs when carried out via computer, paper/pencil and orally in people with MCI.
Methods: Seventy-one participants with MCI were randomly classified in 3 experimental and 2 control groups. The experimental groups attended 48 sessions of language training for 6 months. The control groups attended either unstructured sessions or they were on waiting list.
Results: Mixed measures analysis of variance, at the follow-up, showed a significant cognitive abilities improvement among the experimental versus control groups. At the end of the language training, the 3 groups presented improvement in cognitive abilities and daily function, while the control groups remained at the same performance level.
Conclusion: All 3 cognitive language training methods were equally significantly effective.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10852481 | PMC |
| http://dx.doi.org/10.1177/1533317518813554 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development and Validation of a GULP-Based Predictive Model for Dehydration in Elderly Patients with Post-Stroke Dysphagia.
Br J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
View Article and Find Full Text PDFHow to Manage an Individual Living with Parkinson's Disease Who Acutely Cannot Swallow.
Br J Hosp Med (Lond)
January 2025
Department of Geriatric Medicine, Royal Free Hospital, London, UK.
Parkinson's disease (PD) is a common neurodegenerative condition that can lead to problems swallowing. Individuals living with PD may be unable to take medications orally for various reasons including acute or chronic dysphagia, non-PD related causes and being placed nil-by-mouth for elective reasons. This article outlines a five-step approach to managing an individual living with PD who is unable to take oral medication acutely.
View Article and Find Full Text PDFSurface Electromyographic Activities of Submental and Infrahyoid Muscles: Comparisons Based on Residue, Penetration and Aspiration.
J Oral Rehabil
January 2025
Department of Otolaryngology-Head and Neck Surgery, Faculty of Medicine, Gazi University, Ankara, Turkey.
Background: Surface electromyography (sEMG) has been used in a wide range of studies conducted in the field of dysphagia.
Objectives: The main aim of this case-control study is to obtain how submental and infrahyoid sEMG signals differ based on residue, penetration and aspiration.
Methods: A total of 100 participants (50 patients with suspected dysphagia and 50 healthy controls) were enrolled in the present study.
DynamicVLN: Incorporating Dynamics into Vision-and-Language Navigation Scenarios.
Sensors (Basel)
January 2025
Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Traditional Vision-and-Language Navigation (VLN) tasks require an agent to navigate static environments using natural language instructions. However, real-world road conditions such as vehicle movements, traffic signal fluctuations, pedestrian activity, and weather variations are dynamic and continually changing. These factors significantly impact an agent's decision-making ability, underscoring the limitations of current VLN models, which do not accurately reflect the complexities of real-world navigation.
View Article and Find Full Text PDFAn End-To-End Speech Recognition Model for the North Shaanxi Dialect: Design and Evaluation.
Sensors (Basel)
January 2025
SHCCIG Yubei Coal Industry Co., Ltd., Xi'an 710900, China.
The coal mining industry in Northern Shaanxi is robust, with a prevalent use of the local dialect, known as "Shapu", characterized by a distinct Northern Shaanxi accent. This study addresses the practical need for speech recognition in this dialect. We propose an end-to-end speech recognition model for the North Shaanxi dialect, leveraging the Conformer architecture.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!