Aim: To analyze the relationship between memory performance and the neuroendocrine and cardiovascular response to acute psychosocial stress in healthy older people, and the sex and age impact in this relationship.
Methods: We randomly selected 100 literate older adults, without cognitive or functional impairment. The neuroendocrine stress response was evaluated by measuring the concentration of salivary cortisol, whereas cardiovascular reactions were determined based on blood pressure and heart rate measures taken before, during and after participant exposure to an acute psychosocial stressor (the Trier social stress test [TSST]). Memory performance was evaluated by applying the word pairs test before and after the TSST.
Results: A significant reduction in the word pair test scores was observed after the TSST, and a negative correlation between cortisol concentration and immediate and delayed recall of the word pair. Cortisol concentration associated with age, sex and education explained memory performance variability before and after the TSST.
Conclusions: The results showed that the influence of acute stress on memory performance during aging might vary according to age and sex, highlighting potential differences in the vulnerability of older individuals to the neurotoxic effects of stress exposure on memory and consequently on the development of cognitive disorders. Geriatr Gerontol Int 2018; 18: 169-176.
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JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
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February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Institute for Mind and Biology, University of Chicago.
Individual differences in working memory predict a wide range of cognitive abilities. However, little research has been done on whether working memory continues to predict task performance after repetitive learning. Here, we tested whether working memory ability continued to predict long-term memory (LTM) performance for picture sequences even after participants showed massive learning.
View Article and Find Full Text PDFPLoS One
January 2025
School of Information and Communication Engineering, Beijing University of Information Science and Technology, Bei Jing City, China.
To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia.
Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.
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