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Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial
BACKGROUND: Cognitive flexibility refers to the capacity to shift between conceptual representations particularly in response to changes in instruction and feedback. It enables individuals to swiftly adapt to changes in their environment and has significant implications for learning. The present stu...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422731/ https://www.ncbi.nlm.nih.gov/pubmed/37568212 http://dx.doi.org/10.1186/s13063-023-07551-2 |
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author | Liu, Chia-Lun Cheng, Xiaoqin Choo, Boon Linn Hong, Min Teo, Jia Li Koo, Wei Ler Tan, Jia Yuan Janet Ubrani, Marisha Barth Suckling, John Gulyás, Balázs Leong, Victoria Kourtzi, Zoe Sahakian, Barbara Robbins, Trevor Chen, Annabel Shen-Hsing |
author_facet | Liu, Chia-Lun Cheng, Xiaoqin Choo, Boon Linn Hong, Min Teo, Jia Li Koo, Wei Ler Tan, Jia Yuan Janet Ubrani, Marisha Barth Suckling, John Gulyás, Balázs Leong, Victoria Kourtzi, Zoe Sahakian, Barbara Robbins, Trevor Chen, Annabel Shen-Hsing |
author_sort | Liu, Chia-Lun |
collection | PubMed |
description | BACKGROUND: Cognitive flexibility refers to the capacity to shift between conceptual representations particularly in response to changes in instruction and feedback. It enables individuals to swiftly adapt to changes in their environment and has significant implications for learning. The present study focuses on investigating changes in cognitive flexibility following an intervention programme—Structure Learning training. METHODS: Participants are pseudo-randomised to either the Training or Control group, while matched on age, sex, intelligence and cognitive flexibility performance. In the Training group, participants undergo around 2 weeks of training (at least 13 sessions) on Structure Learning. In the Control group, participants do not have to undergo any training and are never exposed to the Structure Learning task. The effects of Structure Learning training are investigated at both the behavioural and neural level. We measured covariates that can influence an individual’s training performance before the training phase and outcome measures that can potentially show training benefits after the training phase. At the behavioural level, we investigated outcomes in both cognitive and social aspects with a primary focus on executive functions. At the neural level, we employed a multimodality approach and investigated potential changes to functional connectivity patterns, neurometabolite concentration in the frontal brain regions, and brain microstructure and myelination. DISCUSSION: We reported the development of a novel training programme based on Structure Learning that aims to hone a general learning ability to potentially achieve extensive transfer benefits across various cognitive constructs. Potential transfer benefits can be exhibited through better performance in outcome measures between Training and Control participants, and positive associations between training performance and outcomes after the training in Training participants. Moreover, we attempt to substantiate behavioural findings with evidence of neural changes across different imaging modalities by the Structure Learning training. TRIAL REGISTRATION: National Institutes of Health U.S. National Library of Medicine ClinicalTrials.gov NCT05611788. Registered on 7 November 2022. Protocol version: 11 May 2023. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07551-2. |
format | Online Article Text |
id | pubmed-10422731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104227312023-08-13 Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial Liu, Chia-Lun Cheng, Xiaoqin Choo, Boon Linn Hong, Min Teo, Jia Li Koo, Wei Ler Tan, Jia Yuan Janet Ubrani, Marisha Barth Suckling, John Gulyás, Balázs Leong, Victoria Kourtzi, Zoe Sahakian, Barbara Robbins, Trevor Chen, Annabel Shen-Hsing Trials Study Protocol BACKGROUND: Cognitive flexibility refers to the capacity to shift between conceptual representations particularly in response to changes in instruction and feedback. It enables individuals to swiftly adapt to changes in their environment and has significant implications for learning. The present study focuses on investigating changes in cognitive flexibility following an intervention programme—Structure Learning training. METHODS: Participants are pseudo-randomised to either the Training or Control group, while matched on age, sex, intelligence and cognitive flexibility performance. In the Training group, participants undergo around 2 weeks of training (at least 13 sessions) on Structure Learning. In the Control group, participants do not have to undergo any training and are never exposed to the Structure Learning task. The effects of Structure Learning training are investigated at both the behavioural and neural level. We measured covariates that can influence an individual’s training performance before the training phase and outcome measures that can potentially show training benefits after the training phase. At the behavioural level, we investigated outcomes in both cognitive and social aspects with a primary focus on executive functions. At the neural level, we employed a multimodality approach and investigated potential changes to functional connectivity patterns, neurometabolite concentration in the frontal brain regions, and brain microstructure and myelination. DISCUSSION: We reported the development of a novel training programme based on Structure Learning that aims to hone a general learning ability to potentially achieve extensive transfer benefits across various cognitive constructs. Potential transfer benefits can be exhibited through better performance in outcome measures between Training and Control participants, and positive associations between training performance and outcomes after the training in Training participants. Moreover, we attempt to substantiate behavioural findings with evidence of neural changes across different imaging modalities by the Structure Learning training. TRIAL REGISTRATION: National Institutes of Health U.S. National Library of Medicine ClinicalTrials.gov NCT05611788. Registered on 7 November 2022. Protocol version: 11 May 2023. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13063-023-07551-2. BioMed Central 2023-08-11 /pmc/articles/PMC10422731/ /pubmed/37568212 http://dx.doi.org/10.1186/s13063-023-07551-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Liu, Chia-Lun Cheng, Xiaoqin Choo, Boon Linn Hong, Min Teo, Jia Li Koo, Wei Ler Tan, Jia Yuan Janet Ubrani, Marisha Barth Suckling, John Gulyás, Balázs Leong, Victoria Kourtzi, Zoe Sahakian, Barbara Robbins, Trevor Chen, Annabel Shen-Hsing Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title | Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title_full | Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title_fullStr | Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title_full_unstemmed | Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title_short | Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial |
title_sort | potential cognitive and neural benefits of a computerised cognitive training programme based on structure learning in healthy adults: study protocol for a randomised controlled trial |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422731/ https://www.ncbi.nlm.nih.gov/pubmed/37568212 http://dx.doi.org/10.1186/s13063-023-07551-2 |
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