A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach

Shu Zhang; Haiyang Zhang; Ruoyang Wang; Yanqing Kang; Sigang Yu; Jinru Wu

doi:10.1109/ISBI53787.2023.10230789

A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach

Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Exploring the brain connectivity and identifying the connectivity hubs is an important issue for better understanding the working mechanism of the brain as well as assisting to investigate the brain of disease and disorders. In recent years, on one hand, plenty research have been proposed to study brain connectivity hubs either on functional or structural perspective, but very few studies are focusing on integration them together; on the other hand, efficient learning approach to deal with the complex brain network is urgently needed. To address above mentioned issues, in this paper, we propose a novel Multi-Modality Reinforcement Learning (MM-RL) approach, 50 brain connectivity hubs are identified and discussed. This work sheds the new insights that reinforcement learning approach can be adopted to study the brain connectivity, identify the potential hubs and interpret the relationship between function and structure.

Original language	English
Title of host publication	2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665473583
DOIs	https://doi.org/10.1109/ISBI53787.2023.10230789
State	Published - 2023
Event	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 - Cartagena, Colombia Duration: 18 Apr 2023 → 21 Apr 2023

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2023-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
Country/Territory	Colombia
City	Cartagena
Period	18/04/23 → 21/04/23

Keywords

brain connectivity hubs
brain function
brain structure
multi-modality analysis
Reinforcement learning

Access to Document

10.1109/ISBI53787.2023.10230789

Cite this

Zhang, S., Zhang, H., Wang, R., Kang, Y., Yu, S., & Wu, J. (2023). A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/ISBI53787.2023.10230789

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title = "A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach",

abstract = "Exploring the brain connectivity and identifying the connectivity hubs is an important issue for better understanding the working mechanism of the brain as well as assisting to investigate the brain of disease and disorders. In recent years, on one hand, plenty research have been proposed to study brain connectivity hubs either on functional or structural perspective, but very few studies are focusing on integration them together; on the other hand, efficient learning approach to deal with the complex brain network is urgently needed. To address above mentioned issues, in this paper, we propose a novel Multi-Modality Reinforcement Learning (MM-RL) approach, 50 brain connectivity hubs are identified and discussed. This work sheds the new insights that reinforcement learning approach can be adopted to study the brain connectivity, identify the potential hubs and interpret the relationship between function and structure.",

keywords = "brain connectivity hubs, brain function, brain structure, multi-modality analysis, Reinforcement learning",

author = "Shu Zhang and Haiyang Zhang and Ruoyang Wang and Yanqing Kang and Sigang Yu and Jinru Wu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 ; Conference date: 18-04-2023 Through 21-04-2023",

year = "2023",

doi = "10.1109/ISBI53787.2023.10230789",

language = "英语",

series = "Proceedings - International Symposium on Biomedical Imaging",

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booktitle = "2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023",

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Zhang, S, Zhang, H, Wang, R, Kang, Y, Yu, S & Wu, J 2023, A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. in 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. Proceedings - International Symposium on Biomedical Imaging, vol. 2023-April, IEEE Computer Society, 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023, Cartagena, Colombia, 18/04/23. https://doi.org/10.1109/ISBI53787.2023.10230789

A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. / Zhang, Shu; Zhang, Haiyang; Wang, Ruoyang et al.
2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, 2023. (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yu, Sigang

AU - Wu, Jinru

PY - 2023

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A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach

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