Cognitive training and aerobic training are known to improve cognitive functions. To examine the separate and combined effects of such training on cognitive performance, four groups of healthy older adults embarked on a 4 months cognitive and/or mild aerobic training. A first group [n = 33, mean age = 80 (66-90)] engaged in cognitive training, a second [n = 29, mean age = 81 (65-89)] in mild aerobic training, a third [n = 29, mean age = 79 (70-93)] in the combination of both, and a fourth [n = 31, mean age = 79 (71-92)] control group engaged in book-reading activity. The outcome was a well-validated multi-domain computerized cognitive evaluation for older adults. The results indicate that, when compared to older adults who did not engage in cognitive training (the mild aerobic and control groups) older adults who engaged in cognitive training (separate or combined training groups) showed significant improvement in cognitive performance on Hand-Eye Coordination, Global Visual Memory (GVM; working memory and long-term memory), Speed of Information Processing, Visual Scanning, and Naming. Indeed, individuals who did not engage in cognitive training showed no such improvements. Those results suggest that cognitive training is effective in improving cognitive performance and that it (and not mild aerobic training) is driving the improvement in the combined condition. Results are discussed in terms of the special circumstances of aerobic and cognitive training for older adults who are above 80 years of age.
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http://dx.doi.org/10.3389/fnagi.2013.00008 | DOI Listing |
Sci Rep
January 2025
School of Medicine, Yan'an University, Yan'an, 716000, China.
The study aims to develop and validate an effective model for predicting frailty risk in individuals with mild cognitive impairment (MCI). The cross-sectional analysis employed nationally representative data from CHARLS 2013-2015. The sample was randomly divided into training (70%) and validation sets (30%).
View Article and Find Full Text PDFJ Neural Eng
January 2025
Mechanical and Aerospace, Missouri University of Science and Technology, 400 W 13th St., Rolla, Missouri, 65409, UNITED STATES.
This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used group-level, models using electroencephalographic data. The efficacy of the method is studied on an advanced driver assist system related task of predicting braking intention. \emph{Approach}: Data are collected from participants operating an NVIDIA JetBot on a testbed simulating urban streets for three different scenarios.
View Article and Find Full Text PDFJ Neural Eng
January 2025
School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
Objective Race driving is a complex motor task that involves multiple concurrent cognitive processes in different brain regions coordinated to maintain and optimize speed and control. Delineating the neuroplasticity accompanying the acquisition of complex and fine motor skills such as racing is crucial to elucidate how these are gradually encoded in the brain and inform new training regimes. This study aims, first, to identify the neural correlates of learning to drive a racing car using non-invasive electroencephalography (EEG) imaging and longitudinal monitoring.
View Article and Find Full Text PDFCommun Psychol
January 2025
Institute of Psychology, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.
Learning an association does not always succeed on the first attempt. Previous studies associated increased error signals in posterior medial frontal cortex with improved memory formation. However, the neurophysiological mechanisms that facilitate post-error learning remain poorly understood.
View Article and Find Full Text PDFGastroenterology
January 2025
Department of Medicine, University of Rochester Medical Center, Rochester, New York.
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