文献类型：期刊文献

英文题名：Functional parcellation of the hippocampus by semi-supervised clustering of resting state fMRI data

作者：Cheng, Hewei[1,2,3];Zhu, Hancan[4];Zheng, Qiang[5];Liu, Jie[6];He, Guanghua[7]

机构：[1]Chongqing Univ Posts & Telecommun, Sch Bioinformat, Dept Biomed Engn, Chongqing 400065, Peoples R China;[2]Chongqing Univ Posts & Telecommun, Chongqing Engn Res Ctr Med Elect & Informat Techn, Chongqing 400065, Peoples R China;[3]Chongqing Univ Posts & Telecommun, Chongqing Engn Lab Digital Med Equipment & Syst, Chongqing 400065, Peoples R China;[4]Shaoxing Univ, Coll Math Phys & Informat, Shaoxing 312000, Peoples R China;[5]Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Peoples R China;[6]Chongqing Univ Posts & Telecommun, Res Inst Educ Dev, Chongqing 400065, Peoples R China;[7]Zhejiang Yuexiu Univ Foreign Languages, Coll Int Finance & Trade, Shaoxing 312000, Peoples R China

年份：2020

卷号：10

期号：1

外文期刊名：SCIENTIFIC REPORTS

收录：SCI-EXPANDED(收录号：WOS:000577151300008)、、Scopus(收录号：2-s2.0-85091831749)、WOS

基金：This work was supported by National Science Foundation of China (61902047, 61802330), Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX0005), Science and Technology Research Project of Chongqing Education Commission (KJQN201900624), and Research Project of the Department of Education of Zhejiang Province (Y201839295).

语种：英文

外文摘要：Many unsupervised methods are widely used for parcellating the brain. However, unsupervised methods aren't able to integrate prior information, obtained from such as exiting functional neuroanatomy studies, to parcellate the brain, whereas the prior information guided semi-supervised method can generate more reliable brain parcellation. In this study, we propose a novel semi-supervised clustering method for parcellating the brain into spatially and functionally consistent parcels based on resting state functional magnetic resonance imaging (fMRI) data. Particularly, the prior supervised and spatial information is integrated into spectral clustering to achieve reliable brain parcellation. The proposed method has been validated in the hippocampus parcellation based on resting state fMRI data of 20 healthy adult subjects. The experimental results have demonstrated that the proposed method could successfully parcellate the hippocampus into head, body and tail parcels. The distinctive functional connectivity patterns of these parcels have further demonstrated the validity of the parcellation results. The effects of aging on the three hippocampus parcels' functional connectivity were also explored across the healthy adult subjects. Compared with state-of-the-art methods, the proposed method had better performance on functional homogeneity. Furthermore, the proposed method had good test-retest reproducibility validated by parcellating the hippocampus based on three repeated resting state fMRI scans from 24 healthy adult subjects.