Functional network activity during errorless and trial‐and‐error color‐name association learning
Abstract Introduction In cognitive rehabilitation, errorless (EL) and trial‐and‐error (T&E) learning are well‐known methods, but their neural mechanisms are not well known. In this study, we investigated functional magnetic resonance imaging data for healthy adults during EL and T&E learning...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-08-01
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| Series: | Brain and Behavior |
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| Online Access: | https://doi.org/10.1002/brb3.1723 |
| _version_ | 1818505979670560768 |
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| author | Madoka Yamashita Tetsuya Shimokawa Ferdinand Peper Rumi Tanemura |
| author_facet | Madoka Yamashita Tetsuya Shimokawa Ferdinand Peper Rumi Tanemura |
| author_sort | Madoka Yamashita |
| collection | DOAJ |
| description | Abstract Introduction In cognitive rehabilitation, errorless (EL) and trial‐and‐error (T&E) learning are well‐known methods, but their neural mechanisms are not well known. In this study, we investigated functional magnetic resonance imaging data for healthy adults during EL and T&E learning. Methods Participants memorized color‐name associations in both methods using Japanese traditional colors which were unfamiliar to study participants. A functional network analysis was conducted by applying graph theory. We focused on two major cognitive networks: the default mode network (DMN) and the fronto‐parietal network (FPN). Also, we used “within‐network connectivity” and “between‐network connectivity” graph metrics. The former represents the functional connectivity strength of a subnetwork, namely the within‐DMN connectivity and within‐FPN connectivity, while the latter represents the number of links between the DMN and FPN. Results The within‐DMN connectivity in T&E learning was significantly higher than in EL learning. The difference between the memory scores of EL and T&E learning weakly correlated with the between‐network connectivity differences between both learning tasks. Conclusions Our results suggest that within‐DMN connectivity is important in T&E learning and that the learning benefit differences between EL and T&E approaches potentially relate to the functional integration strength between the DMN and FPN. |
| first_indexed | 2024-12-10T21:58:14Z |
| format | Article |
| id | doaj.art-3fbeef6a7ff1490d8090e084227858d6 |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-12-10T21:58:14Z |
| publishDate | 2020-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-3fbeef6a7ff1490d8090e084227858d62022-12-22T01:31:58ZengWileyBrain and Behavior2162-32792020-08-01108n/an/a10.1002/brb3.1723Functional network activity during errorless and trial‐and‐error color‐name association learningMadoka Yamashita0Tetsuya Shimokawa1Ferdinand Peper2Rumi Tanemura3Department of Rehabilitation Science Graduate School of Health Sciences Discipline, Life and Medical Sciences Area Kobe University Kobe JapanDepartment of Rehabilitation Science Graduate School of Health Sciences Discipline, Life and Medical Sciences Area Kobe University Kobe JapanDepartment of Rehabilitation Science Graduate School of Health Sciences Discipline, Life and Medical Sciences Area Kobe University Kobe JapanDepartment of Rehabilitation Science Graduate School of Health Sciences Discipline, Life and Medical Sciences Area Kobe University Kobe JapanAbstract Introduction In cognitive rehabilitation, errorless (EL) and trial‐and‐error (T&E) learning are well‐known methods, but their neural mechanisms are not well known. In this study, we investigated functional magnetic resonance imaging data for healthy adults during EL and T&E learning. Methods Participants memorized color‐name associations in both methods using Japanese traditional colors which were unfamiliar to study participants. A functional network analysis was conducted by applying graph theory. We focused on two major cognitive networks: the default mode network (DMN) and the fronto‐parietal network (FPN). Also, we used “within‐network connectivity” and “between‐network connectivity” graph metrics. The former represents the functional connectivity strength of a subnetwork, namely the within‐DMN connectivity and within‐FPN connectivity, while the latter represents the number of links between the DMN and FPN. Results The within‐DMN connectivity in T&E learning was significantly higher than in EL learning. The difference between the memory scores of EL and T&E learning weakly correlated with the between‐network connectivity differences between both learning tasks. Conclusions Our results suggest that within‐DMN connectivity is important in T&E learning and that the learning benefit differences between EL and T&E approaches potentially relate to the functional integration strength between the DMN and FPN.https://doi.org/10.1002/brb3.1723cognitive functionfMRIlearningrehabilitation |
| spellingShingle | Madoka Yamashita Tetsuya Shimokawa Ferdinand Peper Rumi Tanemura Functional network activity during errorless and trial‐and‐error color‐name association learning Brain and Behavior cognitive function fMRI learning rehabilitation |
| title | Functional network activity during errorless and trial‐and‐error color‐name association learning |
| title_full | Functional network activity during errorless and trial‐and‐error color‐name association learning |
| title_fullStr | Functional network activity during errorless and trial‐and‐error color‐name association learning |
| title_full_unstemmed | Functional network activity during errorless and trial‐and‐error color‐name association learning |
| title_short | Functional network activity during errorless and trial‐and‐error color‐name association learning |
| title_sort | functional network activity during errorless and trial and error color name association learning |
| topic | cognitive function fMRI learning rehabilitation |
| url | https://doi.org/10.1002/brb3.1723 |
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