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

  • As indicated by previous research, aging is associated with a decline in working memory (WM) functioning, related to alterations in fronto-parietal neural activations. At the same time, previous studies showed that WM training in older adults may improve the performance in the trained task (training effect), and more importantly, also in untrained WM tasks (transfer effects). However, neural correlates of these transfer effects that would improve understanding of its underlying mechanisms, have not been shown in older participants as yet. In this study, we investigated blood-oxygen-level-dependent (BOLD) signal changes during n-back performance and an untrained delayed recognition (Sternberg) task following 12 sessions (45 min each) of adaptive n-back training in older adults. The Sternberg task used in this study allowed to test for neural training effects independent of specific task affordances of the trained task and to separate maintenance from updating processes. Thirty-two healthy older participants (60-75 years) were assignedAs indicated by previous research, aging is associated with a decline in working memory (WM) functioning, related to alterations in fronto-parietal neural activations. At the same time, previous studies showed that WM training in older adults may improve the performance in the trained task (training effect), and more importantly, also in untrained WM tasks (transfer effects). However, neural correlates of these transfer effects that would improve understanding of its underlying mechanisms, have not been shown in older participants as yet. In this study, we investigated blood-oxygen-level-dependent (BOLD) signal changes during n-back performance and an untrained delayed recognition (Sternberg) task following 12 sessions (45 min each) of adaptive n-back training in older adults. The Sternberg task used in this study allowed to test for neural training effects independent of specific task affordances of the trained task and to separate maintenance from updating processes. Thirty-two healthy older participants (60-75 years) were assigned either to an n-back training or a no-contact control group. Before (t1) and after (t2) training/waiting period, both the n-back task and the Sternberg task were conducted while BOLD signal was measured using functional Magnetic Resonance Imaging (fMRI) in all participants. In addition, neuropsychological tests were performed outside the scanner. WM performance improved with training and behavioral transfer to tests measuring executive functions, processing speed, and fluid intelligence was found. In the training group, BOLD signal in the right lateral middle frontal gyrus/caudal superior frontal sulcus (Brodmann area, BA 6/8) decreased in both the trained n-back and the updating condition of the untrained Sternberg task at t2, compared to the control group. fMRI findings indicate a training-related increase in processing efficiency of WM networks, potentially related to the process of WM updating. Performance gains in untrained tasks suggest that transfer to other cognitive tasks remains possible in aging. (C) 2016 Elsevier Inc. All rights reserved.show moreshow less

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Author details:Stephan HeinzelORCiDGND, Robert C. LorenzORCiD, Patricia Pelz, Andreas HeinzORCiDGND, Henrik Walter, Norbert Kathmann, Michael Armin RappORCiDGND, Christine Stelzel
DOI:https://doi.org/10.1016/j.neuroimage.2016.03.068
ISSN:1053-8119
ISSN:1095-9572
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/27046110
Title of parent work (English):NeuroImage : a journal of brain function
Publisher:Elsevier
Place of publishing:San Diego
Publication type:Article
Language:English
Year of first publication:2016
Publication year:2016
Release date:2020/03/22
Tag:Aging; Executive functions; Fluid intelligence; Neuroimaging; Training; Transfer; Updating; Working memory; fMRI
Volume:134
Number of pages:14
First page:236
Last Page:249
Funding institution:German National Academic Foundation scholarships; German Ministry for Education and Research [BMBF 01QG87164, 01GS08195, 01GQ0914]; German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) [FOR 1617, RA1047/2-1]; DFG Priority Program [SPP 1772, RA1047/4-1, HE 7464/1-1]; MaxNetAging award
Peer review:Referiert
Institution name at the time of the publication:Humanwissenschaftliche Fakultät / Exzellenzbereich Kognitionswissenschaften
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