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Prior-guided individualized thalamic parcellation based on local diffusion characteristics

文献类型：期刊论文

作者Gao, Chaohong3,4,6; Wu, Xia6; Wang, Yaping3,4,6; Li, Gang6; Ma, Liang6; Wang, Changshuo4,6; Xie, Sangma2; Chu, Congying6; Madsen, Kristoffer Hougaard3,4,9; Hou, Zhongyu1
刊名HUMAN BRAIN MAPPING
出版日期2024-03-01
卷号45期号:4页码:15
关键词diffusion MRI individualized brain mapping machine learning orientation distribution function thalamic parcellation
ISSN号1065-9471
DOI10.1002/hbm.26646
通讯作者Hou, Zhongyu(houzhongyuqq@163.com) ; Fan, Lingzhong(lingzhong.fan@ia.ac.cn)
英文摘要Comprising numerous subnuclei, the thalamus intricately interconnects the cortex and subcortex, orchestrating various facets of brain functions. Extracting personalized parcellation patterns for these subnuclei is crucial, as different thalamic nuclei play varying roles in cognition and serve as therapeutic targets for neuromodulation. However, accurately delineating the thalamic nuclei boundary at the individual level is challenging due to intersubject variability. In this study, we proposed a prior-guided parcellation (PG-par) method to achieve robust individualized thalamic parcellation based on a central-boundary prior. We first constructed probabilistic atlas of thalamic nuclei using high-quality diffusion MRI datasets based on the local diffusion characteristics. Subsequently, high-probability voxels in the probabilistic atlas were utilized as prior guidance to train unique multiple classification models for each subject based on a multilayer perceptron. Finally, we employed the trained model to predict the parcellation labels for thalamic voxels and construct individualized thalamic parcellation. Through a test-retest assessment, the proposed prior-guided individualized thalamic parcellation exhibited excellent reproducibility and the capacity to detect individual variability. Compared with group atlas registration and individual clustering parcellation, the proposed PG-par demonstrated superior parcellation performance under different scanning protocols and clinic settings. Furthermore, the prior-guided individualized parcellation exhibited better correspondence with the histological staining atlas. The proposed prior-guided individualized thalamic parcellation method contributes to the personalized modeling of brain parcellation. Based on the "central-boundary prior" hypothesis and "one person one model" principle, we proposed a prior-guided individualized thalamic parcellation method to automatically extract the thalamic parcellation pattern, capturing both high individual specificity and population commonality. image
WOS关键词DEEP BRAIN-STIMULATION ; CONSTRAINED SPHERICAL DECONVOLUTION ; INDEPENDENT COMPONENT ANALYSIS ; NUCLEI ; ATLAS ; SEGMENTATION ; VISUALIZATION ; ASSOCIATION ; RESOLUTION ; NETWORKS
资助项目Strategic Priority Research Program of Chinese Academy of Sciences ; Natural Science Foundation of China[2021ZD0200203] ; Natural Science Foundation of Shandong Province[82072099] ; Natural Science Foundation of Shandong Province[6220058] ; [ZR2021MH063] ; [XDB32030200]
WOS研究方向Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
WOS记录号WOS:001177265400001
出版者WILEY
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Natural Science Foundation of China ; Natural Science Foundation of Shandong Province
源URL[http://ir.ia.ac.cn/handle/173211/56936]  
专题自动化研究所_脑网络组研究中心
通讯作者Hou, Zhongyu; Fan, Lingzhong
作者单位1.Shandong First Med Univ, Shandong Prov Hosp, Dept Med Imaging, Jinan 250014, Peoples R China
2.Hangzhou Dianzi Univ, Sch Automat, Inst Biomed Engn & Instrumentat, Hangzhou, Peoples R China
3.Tech Univ Denmark, Dept Appl Math & Comp Sci, Lyngby, Denmark
4.Univ Chinese Acad Sci, Sino Danish Coll, Sino Danish Ctr Educ & Res, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
7.Univ Hlth & Rehabil Sci, Sch Hlth & Life Sci, Qingdao, Shandong, Peoples R China
8.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techno, Beijing, Peoples R China
9.Copenhagen Univ Hosp Amager & Hvidovre, Danish Res Ctr Magnet Resonance, Ctr Funct & Diagnost Imaging & Res, Hvidovre, Denmark
推荐引用方式
GB/T 7714		 Gao, Chaohong,Wu, Xia,Wang, Yaping,et al. Prior-guided individualized thalamic parcellation based on local diffusion characteristics[J]. HUMAN BRAIN MAPPING,2024,45(4):15.
APA Gao, Chaohong.,Wu, Xia.,Wang, Yaping.,Li, Gang.,Ma, Liang.,...&Fan, Lingzhong.(2024).Prior-guided individualized thalamic parcellation based on local diffusion characteristics.HUMAN BRAIN MAPPING,45(4),15.
MLA Gao, Chaohong,et al."Prior-guided individualized thalamic parcellation based on local diffusion characteristics".HUMAN BRAIN MAPPING 45.4(2024):15.

入库方式： OAI收割

来源：自动化研究所

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