Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis

doi:10.1109/ISBI53787.2023.10230391

	Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis
	Xiaozhao Liu1 ; Mianxin Liu2 ; Lang Mei1 ; Yuyao Zhang1 ; Feng Shi 3; Han Zhang2 ; Dinggang Shen 3
	2023
会议录名称	IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
ISSN	1945-7928
卷号	2023-April
发表状态	已发表
DOI	10.1109/ISBI53787.2023.10230391
摘要	To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress rich spatial-temporal information as the brain functional networks (BFNs) and directly investigate the whole-brain network without neurological priors about functional subnetworks. We thus propose a novel graph learning framework to mine fMRI signals with topological priors from brain parcellation for disease diagnosis. Specifically, we 1) detect diagnosis-related temporal features using a 'Transformer'for a higher-level BFN construction, and process it with a following graph convolutional network, and 2) apply an attention-based multiple instance learning strategy to emphasize the disease-affected subnetworks to further enhance the diagnosis performance and interpretability. Experiments demonstrate higher effectiveness of our method than compared methods in the diagnosis of early mild cognitive impairment. More importantly, our method is capable of localizing crucial brain subnetworks during the diagnosis, providing insights into the pathogenic source of mild cognitive impairment. © 2023 IEEE.
会议录编者/会议主办者	Flywheel ; Kitware ; Siemens Healthineers ; UCLouvain
关键词	Graph neural network Brain disease mild cognitive impairment Transformer Multiple instance learning
会议名称	20th IEEE International Symposium on Biomedical Imaging, ISBI 2023
会议地点	Cartagena, Colombia
会议日期	18-21 April 2023
URL	查看原文
收录类别	EI
语种	英语
出版者	IEEE Computer Society
EI入藏号	20233914806289
EI主题词	Graph neural networks
EISSN	1945-8452
EI分类号	461.1 Biomedical Engineering ; 461.6 Medicine and Pharmacology ; 701.2 Magnetism: Basic Concepts and Phenomena ; 723.4 Artificial Intelligence ; 746 Imaging Techniques ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory
原始文献类型	Conference article (CA)
来源库	IEEE
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/297966
专题	生物医学工程学院信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_张玉瑶组生物医学工程学院_PI研究组_沈定刚组生物医学工程学院_PI研究组_张寒组
作者单位	1.School of Computer Science and Technology, Shanghaitech University, China 2.School of Biomedical Engineering, Shanghaitech University, China 3.Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., China
第一作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Xiaozhao Liu,Mianxin Liu,Lang Mei,et al. Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis[C]//Flywheel, Kitware, Siemens Healthineers, UCLouvain:IEEE Computer Society,2023.