Background: Dimebolin (latrepirdine), a compound with multiple potential drug targets, is being evaluated in clinical trials for the treatment of Alzheimer's disease (AD) and preliminary results suggest it can slow the disease process. There is also evidence that dimebolin directly improves aspects of cognition. Here we examined the acute effect of dimebolin on components of working memory in non-human primates, young adult (11-17 years old) and aged (20-31 years old) rhesus macaques.
Experimental Approach: The effects of dimebolin (3.9-118 µg kg(-1)) on working memory, as measured by performance on delayed matching-to-sample (DMTS), were examined in the normal young adult monkeys and aged adult monkeys. All the monkeys studied were proficient in the performance of a computer-assisted DMTS task. In a subsequent experiment in the same subjects, dimebolin was administered 15 min before a cognitively-impairing dose (20 µg kg(-1)) of scopolamine.
Key Results: In both the young adult and aged monkeys, dimebolin significantly increased the DMTS task accuracies. In young adults, the task improvement was associated with long (retention/retrieval) delay trials, and a protracted enhancement was observed for sessions run 24 h post administration of a single dose. Dimebolin did not significantly attenuate the scopolamine-induced impairment. In the aged monkeys, dimebolin significantly improved the reduced task accuracies associated with long delay intervals.
Conclusions And Implications: Here we demonstrated that dimebolin is able to improve components of working memory in monkeys and to induce a protracted response for at least 24 h after administration of a single dose.
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http://dx.doi.org/10.1111/j.1476-5381.2011.01432.x | DOI Listing |
Sleep
January 2025
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit affiliated at CRCN - Centre for Research in Cognition and Neurosciences and UNI - ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Enhancing the retention of recent memory traces through sleep reactivation is possible via Targeted Memory Reactivation (TMR), involving cueing learned material during post-training sleep. Evidence indicates detectable short-term microstructural changes in the brain within an hour after motor sequence learning, and post-training sleep is believed to contribute to the consolidation of these motor memories, potentially leading to enduring microstructural changes. In this study, we explored how TMR during post-training sleep affects performance gains and delayed microstructural remodeling, using both standard Diffusion Tensor Imaging (DTI) and advanced Neurite Orientation Dispersion & Density Imaging (NODDI).
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Linguistics and English as a Second Language, Faculty of Arts, University of Groningen, Groningen, the Netherlands.
Objectives: The complex life experience of speaking two or more languages has been suggested to preserve cognition in older adulthood. This study aimed to investigate this further by examining the relationship between multilingual experience variables and cognitive functioning in a large cohort of older adults in the diversely multilingual north of the Netherlands.
Method: 11,332 older individuals participating in the Lifelines Cohort Study completed a language experience questionnaire.
Sensors (Basel)
January 2025
Development Adaptation Handicap (DevAH) Research Unit, Université de Lorraine, 54000 Nancy, France.
Analyzing performance in rowing, e.g., analyzing force and power output profiles produced either on ergometer or on boat, is a priority for trainers and athletes.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Key Laboratory of Concrete and Pre-Stressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China.
Monitoring existing cracks is a critical component of structural health monitoring in bridges, as temperature fluctuations significantly influence crack development. The study of the Huai'an Bridge indicated that concrete cracks predominantly occur near the central tower, primarily due to temperature variations between the inner and outer surfaces. This research aims to develop a deep learning model utilizing Long Short-Term Memory (LSTM) neural networks to predict crack depth based on the thermal variations experienced by the main tower.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Information Science and Engineering, Hunan Normal University, Changsha 410081, China.
Early detection of autism spectrum disorder (ASD) is particularly important given its insidious qualities and the high cost of the diagnostic process. Currently, static functional connectivity studies have achieved significant results in the field of ASD detection. However, with the deepening of clinical research, more and more evidence suggests that dynamic functional connectivity analysis can more comprehensively reveal the complex and variable characteristics of brain networks and their underlying mechanisms, thus providing more solid scientific support for computer-aided diagnosis of ASD.
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