Literature DB >> 33441734

Effects of multi-domain cognitive training on working memory retrieval in older adults: behavioral and ERP evidence from a Chinese community study.

Xiangfei Hong1, You Chen2, Jijun Wang1,3,4,5, Yuan Shen6, Qingwei Li7, Binglei Zhao5, Xiaoli Guo8, Wei Feng9, Wenyuan Wu7, Chunbo Li10,11,12,13.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33441734      PMCID: PMC7806963          DOI: 10.1038/s41598-020-79784-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  49 in total

1.  Neurophysiological signals of working memory in normal aging.

Authors:  L K McEvoy; E Pellouchoud; M E Smith; A Gevins
Journal:  Brain Res Cogn Brain Res       Date:  2001-06

2.  When and where do we apply what we learn? A taxonomy for far transfer.

Authors:  Susan M Barnett; Stephen J Ceci
Journal:  Psychol Bull       Date:  2002-07       Impact factor: 17.737

3.  Neural correlates of training-related working-memory gains in old age.

Authors:  Yvonne Brehmer; Anna Rieckmann; Martin Bellander; Helena Westerberg; Håkan Fischer; Lars Bäckman
Journal:  Neuroimage       Date:  2011-07-02       Impact factor: 6.556

4.  Reviewing working memory training gains in healthy older adults: A meta-analytic review of transfer for cognitive outcomes.

Authors:  Ana C Teixeira-Santos; Célia S Moreira; Rosana Magalhães; Carina Magalhães; Diana R Pereira; Jorge Leite; Sandra Carvalho; Adriana Sampaio
Journal:  Neurosci Biobehav Rev       Date:  2019-05-14       Impact factor: 8.989

5.  Neural correlates of training and transfer effects in working memory in older adults.

Authors:  Stephan Heinzel; Robert C Lorenz; Patricia Pelz; Andreas Heinz; Henrik Walter; Norbert Kathmann; Michael A Rapp; Christine Stelzel
Journal:  Neuroimage       Date:  2016-04-01       Impact factor: 6.556

6.  Aging and working memory performance: Electrophysiological correlates of high and low performing elderly.

Authors:  Alexander F Lubitz; Michael Niedeggen; Maximilian Feser
Journal:  Neuropsychologia       Date:  2017-09-07       Impact factor: 3.139

Review 7.  Consequences of age-related cognitive declines.

Authors:  Timothy Salthouse
Journal:  Annu Rev Psychol       Date:  2011-07-05       Impact factor: 24.137

8.  P50, N100, and P200 sensory gating: relationships with behavioral inhibition, attention, and working memory.

Authors:  Marijn Lijffijt; Scott D Lane; Stacey L Meier; Nash N Boutros; Scott Burroughs; Joel L Steinberg; F Gerard Moeller; Alan C Swann
Journal:  Psychophysiology       Date:  2009-06-08       Impact factor: 4.016

9.  Characterization of N200 and P300: selected studies of the Event-Related Potential.

Authors:  Salil H Patel; Pierre N Azzam
Journal:  Int J Med Sci       Date:  2005-10-01       Impact factor: 3.738

10.  Cortical Thickness Changes Correlate with Cognition Changes after Cognitive Training: Evidence from a Chinese Community Study.

Authors:  Lijuan Jiang; Xinyi Cao; Ting Li; Yingying Tang; Wei Li; Jijun Wang; Raymond C Chan; Chunbo Li
Journal:  Front Aging Neurosci       Date:  2016-05-24       Impact factor: 5.750

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