Working memory (WM) is a fundamental cognitive function that typically declines with age. Previous studies have shown that targeted WM training has the potential to improve WM performance in older adults. In the present study, we investigated whether a multi-domain cognitive training program that was not designed to specifically target WM could improve the behavioral performance and affect the neural activity during WM retrieval in healthy older adults. We assigned healthy older participants (70-78 years old) from a local community into a training group who completed a 3-month multi-domain cognitive training and a control group who only attended health education lectures during the same period. Behavioral and electroencephalography (EEG) data were recorded from participants while performing an untrained delayed match or non-match to category task and a control task at a pre-training baseline session and a post-training follow-up session. Behaviorally, we found that participants in the training group showed a trend toward greater WM performance gains than participants in the control group. Event-related potential (ERP) results suggest that the task-related modulation of P3 during WM retrieval was significantly enhanced at the follow-up session compared with the baseline session, and importantly, this enhancement of P3 modulation was only significant in the training group. Furthermore, no training-related effects were observed for the P2 or N2 component during WM retrieval. These results suggest that the multi-domain cognitive training program that was not designed to specifically target WM is a promising approach to improve WM performance in older adults, and that training-related gains in performance are likely mediated by an enhanced modulation of P3 which might reflect the process of WM updating.
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http://dx.doi.org/10.1038/s41598-020-79784-z | DOI Listing |
Alzheimers Dement (N Y)
January 2025
Alzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam, Amsterdam UMC VUmc Amsterdam The Netherlands.
Introduction: Recruitment of participants for intervention studies is challenging. We evaluated the effectiveness and efficiency of a participant recruitment campaign through an online registry for the FINGER-NL study, a multi-domain lifestyle intervention trial targeting cognitively healthy individuals aged 60-79 with dementia prevention potential. Additionally, we explored which recruitment strategy successfully reached individuals from underrepresented groups in research.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychology, Government MLB Girls PG College, Kila Bhawan, Indore, Madhya Pradesh, India.
Post-stroke cognitive impairment is a common consequence of stroke, characterized by deficits in language, cognitive functioning, functional abilities. Innovative technological approaches, such as computerized cognitive retraining, offer promising strategies for mitigating the cognitive challenges. Despite their potential, the impact of these interventions on neuropsychological function and daily living capabilities has poor outcomes.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center Japan, Tokyo, Japan.
Background: While the preventive effects of green tea and coffee on cognitive decline have been demonstrated, their long-term effects on cognition remain unclear.
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Alzheimers Dement (N Y)
January 2025
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics University Medical Center Hamburg-Eppendorf Hamburg Germany.
Introduction: The societal costs of dementia and cognitive decline are substantial and likely to increase during the next decades due to the increasing number of people in older age groups. The aim of this multicenter cluster-randomized controlled trial was to assess the cost-effectiveness of a multi-domain intervention to prevent cognitive decline in older people who are at risk for dementia.
Methods: We used data from a multi-centric, two-armed, cluster-randomized controlled trial ( trial, ID: DRKS00013555).
Sci Rep
January 2025
Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India.
Cognitive load stimulates neural activity, essential for understanding the brain's response to stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating cognitive load by extracting, selection, and classifying features from electroencephalogram (EEG) signals. We employed robust local mean decomposition (R-LMD) to decompose EEG data from each channel, recorded over a four-second period, into five modes.
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