Functional network activity during errorless and trial‐and‐error color‐name association learning

M Yamashita, T Shimokawa, F Peper… - Brain and …, 2020 - Wiley Online Library
M Yamashita, T Shimokawa, F Peper, R Tanemura
Brain and behavior, 2020Wiley Online Library
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 …
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.
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