Purpose: Assess the efficiency of a cognitive training program using an artificial intelligence application to optimize cognitive reserve and reduce memory disturbance in patients aged 55 to 75 after Class II-III elective noncardiac surgery.
Design: Experimental with random assignment.
Methods: The study was conducted on 80 patients undergoing surgery at the Teknon Medical Center Hospital in Barcelona, from April 2018 to June 2021. Both groups were evaluated with cognitive tests before surgery and 7 and 30 days after surgery. The experimental group was subjected to cognitive training for 10 days before surgery to improve their cognitive reserve.
Findings: Significant differences were found between the study groups 30 days after surgery in the three screening tests (Mini-Cog, T@M, and MFE). The intervention group presented with fewer cognitive and memory alterations. Age and pre-existing comorbidities were not correlated with an impact on memory impairment or cognitive function.
Conclusions: A cognitive training program based on artificial intelligence, prescribed and monitored by anesthesia nurses has a positive impact on increasing cognitive reserve and reducing memory disturbance in patients aged 55 to 75 undergoing Class II to III elective, noncardiac surgery. This intervention may serve as a prehabilitation strategy in patients with a risk of cognitive dysfunction evaluated by anesthesia nurses for the purpose of preserving their cognitive function and optimizing their recovery.
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http://dx.doi.org/10.1016/j.jopan.2023.10.016 | DOI Listing |
J Physician Assist Educ
January 2025
Tonya C. George, PhD, MSHS, MSPH, PA-C, DFAAP, is a assistant professor, Doctor of Medical Science Program, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Philadelphia.
Neurodiversity, encompassing conditions such as autism spectrum disorder, attention-deficit/hyperactivity disorder, and dyslexia, represents a significant and often under-recognized segment of the population, including within science, technology, engineering, mathematics, and medicine fields like medicine. Neurodiverse individuals possess unique skills, including enhanced creativity, analytical thinking, and meticulous attention to detail, which are valuable in health care professions. However, failure to recognize and support these individuals can result in missed opportunities, social isolation, and mental health challenges.
View Article and Find Full Text PDFInt J Clin Health Psychol
January 2025
Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Department of Psychology, Rio de Janeiro, RJ, Brazil.
Objectives: With increasing global life expectancy, cognitive interventions hold promise in mitigating cognitive decline and fostering healthy aging. Despite the demand for evidence-based interventions, there have been few attempts to summarize existing evidence. This study aims to assess the effectiveness and feasibility of unimodal and multimodal cognitive interventions for cognitively healthy older adults.
View Article and Find Full Text PDFIndian J Occup Environ Med
December 2024
Department of Occupational Medicine, Industrial Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: Different domains of cognitive function are important in some jobs, such as office work. Ergonomic risk factors may affect cognitive function.
Aim: This study was designed to assess the effect of an ergonomic training intervention on the cognitive function of office workers.
iScience
January 2025
Key Laboratory of Brain Functional Genomics (Ministry of Education), East China Normal University, Shanghai 200062, China.
Learned action sequences are suggested to be organized hierarchically, but how the various hierarchical levels are processed by different cortical regions remains largely unknown. By training monkeys to perform heterogeneous saccade sequences, we investigated the role of the dorsolateral prefrontal cortex (DLPFC) and the lateral intraparietal cortex (LIP) in sequence planning and execution. The electrophysiological recording revealed that sequence-level initiation information was mostly signaled by DLPFC neurons, whereas subsequence-level transition was largely encoded by LIP neurons.
View Article and Find Full Text PDFAnimals survive in dynamic environments changing at arbitrary timescales, but such data distribution shifts are a challenge to neural networks. To adapt to change, neural systems may change a large number of parameters, which is a slow process involving forgetting past information. In contrast, animals leverage distribution changes to segment their stream of experience into tasks and associate them with internal task abstracts.
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