Randomizing Human Brain Function Representation for Brain Disease Diagnosis

doi:10.1109/TMI.2024.3368064

	Randomizing Human Brain Function Representation for Brain Disease Diagnosis
	Mengjun Liu 1; Huifeng Zhang 2; Mianxin Liu 3; Dongdong Chen 1; Zixu Zhuang 1; Xin Wang 1; Lichi Zhang 1; Daihui Peng 2; Qian Wang4
	2024
发表期刊	IEEE TRANSACTIONS ON MEDICAL IMAGING (IF:8.9[JCR-2023],11.3[5-Year])
ISSN	1558-254X
EISSN	1558-254X
卷号	PP 期号:99 页码:1-1
发表状态	已发表
DOI	10.1109/TMI.2024.3368064
摘要	Resting-state fMRI (rs-fMRI) is an effective tool for quantifying functional connectivity (FC), which plays a crucial role in exploring various brain diseases. Due to the high dimensionality of fMRI data, FC is typically computed based on the region of interest (ROI), whose parcellation relies on a pre-defined atlas. However, utilizing the brain atlas poses several challenges including (1) subjective selection bias in choosing from various brain atlases, (2) parcellation of each subject’s brain with the same atlas yet disregarding individual specificity; (3) lack of interaction between brain region parcellation and downstream ROI-based FC analysis. To address these limitations, we propose a novel randomizing strategy for generating brain function representation to facilitate neural disease diagnosis. Specifically, we randomly sample brain patches, thus avoiding ROI parcellations of the brain atlas. Then, we introduce a new brain function representation framework for the sampled patches. Each patch has its function description by referring to anchor patches, as well as the position description. Furthermore, we design an adaptive-selection-assisted Transformer network to optimize and integrate the function representations of all sampled patches within each brain for neural disease diagnosis. To validate our framework, we conduct extensive evaluations on three datasets, and the experimental results establish the effectiveness and generality of our proposed method, offering a promising avenue for advancing neural disease diagnosis beyond the confines of traditional atlas-based methods. Our code is available at https://github.com/mjliu2020/RandomFR. IEEE
关键词	Randomizing function representation adaptive selection module Transformer brain disease diagnosis
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收录类别	EI ; SCI
语种	英语
资助项目	Ethics Committee of the Shanghai Mental Health Center affiliated to the Shanghai Jiao Tong University School of Medicine[2019-17RR]
WOS研究方向	Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:001263692100017
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20240915651507
EI主题词	Brain
EI分类号	461.1 Biomedical Engineering ; 461.2 Biological Materials and Tissue Engineering ; 461.6 Medicine and Pharmacology ; 701.2 Magnetism: Basic Concepts and Phenomena ; 722.1 Data Storage, Equipment and Techniques ; 746 Imaging Techniques
原始文献类型	Article in Press
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/354971
专题	生物医学工程学院_PI研究组_王乾组
作者单位	1.School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China 2.Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China 3.Shanghai Artificial Intelligence Laboratory, Shanghai, China 4.School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
推荐引用方式 GB/T 7714	Mengjun Liu,Huifeng Zhang,Mianxin Liu,et al. Randomizing Human Brain Function Representation for Brain Disease Diagnosis[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2024,PP(99):1-1.
APA	Mengjun Liu.,Huifeng Zhang.,Mianxin Liu.,Dongdong Chen.,Zixu Zhuang.,...&Qian Wang.(2024).Randomizing Human Brain Function Representation for Brain Disease Diagnosis.IEEE TRANSACTIONS ON MEDICAL IMAGING,PP(99),1-1.
MLA	Mengjun Liu,et al."Randomizing Human Brain Function Representation for Brain Disease Diagnosis".IEEE TRANSACTIONS ON MEDICAL IMAGING PP.99(2024):1-1.