CASIA OpenIR
Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease
Xin Zhang1; Sun, Yu2; Li, Weiping1; Liu, Bing3; Wu, Wenbo1; Zhao, Hui4; Liu, Renyuan1,4; Zhang, Yue2; Yin, Zhenyu5; Yu, Tingting5; Qing, Zhao1; Zhu, Bin1; Xu, Yun4; Nedelska, Zuzana6,7,8; Hort, Jakub7,8; Zhang, Bing1
Source PublicationNEUROIMAGE-CLINICAL
ISSN2213-1582
2019
Volume22Pages:16
Corresponding AuthorZhang, Bing(zhangbing_nanjing@vip.163.com)
AbstractBrain white matter fiber bundles in patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) have abnormalities not usually seen in unaffected subjects. Ideal algorithm of the localization-specific properties in white matter integrity might reveal the changes of tissue properties varying along each tract, while previous studies only detected the mean DTI parameters of each fiber. The aim of this study was to investigate whether these abnormalities of nerve fiber tracts are localized to specific regions of the tracts or spread throughout and to analyze which of the examined fiber tracts are involved in the early stages of Alzheimer's disease. In this study, we utilized VBA, TBSS as well as AFQ together to comprehensively investigate the white matter fiber impairment on 25 CE patients, 29 MCI patients and 34 normal control (NC) subjects. Two tract profiles, fractional anisotropy (FA) and mean diffusivity (MD), were extracted to evaluate the white matter integrity at 100 locations along each of 20 fiber tracts and then we validated the results with 27 CE patients, 21 MCI patients and 22 NC from the ADNI cohort. Also, we compare the AFQ with VBA and TBSS in our cohort. In comparison with NC, AD patients showed widespread FA reduction in 25% (5 /20) and MD increase in 65%(13/20) of the examined fiber tracts. The MCI patients showed a regional FA reduction in 5% (1/20) of the examined fiber tracts (right cingulum cingulate) and MD increase in 5%(1/20) of the examined fiber tracts (left arcuate fasciculus). Among these changed tracts, only the right cingulum cingulate showed widespread disruption of myelin or/and fiber axons in MCI and aggravated deterioration in AD, findings supported by FA/MD changes both by the mean and FA changes by point wise methods and TBSS. And the AFQ findings from ADNI cohort showed some similarity with our cohort, especially in the pointwise comparison of MD profiles between AD vs NC. Furthermore, the pattern of white matter abnormalities was different across neuronal fiber tracts; for example, the MCI and AD patients showed similar FA reduction in the middle part of the right cingulum cingulate, and the anterior part were not damaged. However, the left arcuate fasciculus showed MD elevation located at the temporal part of the fibers in the MCI patients and expanding to the temporal and middle part of the fibers in AD patients. So, the AFQ may be an alternative complementary method of VBA and TBSS, and may provide new insights into white matter degeneration in MCI and its association with AD.
KeywordAlzheimer's disease Mild cognitive impairment Automated fiber quantification Diffusion tensor imaging Pointwise comparison
DOI10.1016/j.nicl.2019.101723
WOS KeywordMILD COGNITIVE IMPAIRMENT ; INTEGRITY ; TRACT ; HYPOMETABOLISM ; BRAIN ; DEGENERATION ; FASCICULUS ; RISK ; APOE ; MRI
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[81720108022] ; National Natural Science Foundation of China[91649116] ; National Natural Science Foundation of China[81571040] ; social development project of science and technology project in Jiangsu Province[BE2016605] ; social development project of science and technology project in Jiangsu Province[BE201707] ; Key Medical Talents of the Jiangsu province ; 13th Five-Year Health Promotion Project of the Jiangsu province ; Jiangsu Provincial Key Medical Discipline (Laboratory)[ZDXKA2016020] ; Nanjing Science and Technology Development Program[YKK15065] ; Project of the Sixth Peak of Talented People[WSN-138] ; National Key R&D Program of China[2016YFC0100100]
Funding OrganizationNational Natural Science Foundation of China ; social development project of science and technology project in Jiangsu Province ; Key Medical Talents of the Jiangsu province ; 13th Five-Year Health Promotion Project of the Jiangsu province ; Jiangsu Provincial Key Medical Discipline (Laboratory) ; Nanjing Science and Technology Development Program ; Project of the Sixth Peak of Talented People ; National Key R&D Program of China
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeuroimaging
WOS IDWOS:000470123000038
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24405
Collection中国科学院自动化研究所
Corresponding AuthorZhang, Bing
Affiliation1.Nanjing Univ, Med Sch, Affiliated Drum Tower Hosp, Dept Radiol, Nanjing, Jiangsu, Peoples R China
2.Southeast Univ, Lab Med Elect, Sch Biol Sci & Med Engn, Nanjing, Jiangsu, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
4.Nanjing Univ, Med Sch, Affiliated Drum Tower Hosp, Dept Neurol, Nanjing, Jiangsu, Peoples R China
5.Nanjing Univ, Med Sch, Affiliated Drum Tower Hosp, Dept Geriatr, Nanjing, Jiangsu, Peoples R China
6.St Annes Univ Hosp Brno, Int Clin Res Ctr, Brno, Czech Republic
7.Charles Univ Prague, Dept Neurol, Memory Clin, Fac Med 2, Prague, Czech Republic
8.Moto Univ Hosp, Prague, Czech Republic
Recommended Citation
GB/T 7714
Xin Zhang,Sun, Yu,Li, Weiping,et al. Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease[J]. NEUROIMAGE-CLINICAL,2019,22:16.
APA Xin Zhang.,Sun, Yu.,Li, Weiping.,Liu, Bing.,Wu, Wenbo.,...&Zhang, Bing.(2019).Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease.NEUROIMAGE-CLINICAL,22,16.
MLA Xin Zhang,et al."Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease".NEUROIMAGE-CLINICAL 22(2019):16.
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