Interaction of multiple networks modulated by the working memory training based on real-time fMRI

Jiahui Shen; Gaoyan Zhang; Chaozhe Zhu; Li Yao; Xiaojie Zhao

doi:10.1117/12.2076334

17 March 2015 Interaction of multiple networks modulated by the working memory training based on real-time fMRI

Jiahui Shen, Gaoyan Zhang, Chaozhe Zhu, Li Yao, Xiaojie Zhao

Proceedings Volume 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging; 94171L (2015) https://doi.org/10.1117/12.2076334
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Neuroimaging studies of working memory training have identified the alteration of brain activity as well as the regional interactions within the functional networks such as central executive network (CEN) and default mode network (DMN). However, how the interaction within and between these multiple networks is modulated by the training remains unclear. In this paper, we examined the interaction of three training-induced brain networks during working memory training based on real-time functional magnetic resonance imaging (rtfMRI). Thirty subjects assigned to the experimental and control group respectively participated in two times training separated by seven days. Three networks including silence network (SN), CEN and DMN were identified by the training data with the calculated function connections within each network. Structural equation modeling (SEM) approach was used to construct the directional connectivity patterns. The results showed that the causal influences from the percent signal changes of target ROI to the SN were positively changed in both two groups, as well as the causal influence from the SN to CEN was positively changed in experimental group but negatively changed in control group from the SN to DMN. Further correlation analysis of the changes in each network with the behavioral improvements showed that the changes in SN were stronger positively correlated with the behavioral improvement of letter memory task. These findings indicated that the SN was not only a switch between the target ROI and the other networks in the feedback training but also an essential factor to the behavioral improvement.

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Jiahui Shen, Gaoyan Zhang, Chaozhe Zhu, Li Yao, and Xiaojie Zhao "Interaction of multiple networks modulated by the working memory training based on real-time fMRI", Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94171L (17 March 2015); https://doi.org/10.1117/12.2076334

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KEYWORDS

Scanning electron microscopy

Brain

Functional magnetic resonance imaging

Neuroimaging

Modulation

Cognitive modeling

Feedback signals

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