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Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices
Cai, Kunpeng1,2; Xu, Hong1; Guan, Hao2,3; Zhu, Wanlin2,4; Jiang, Jiyang4,5; Cui, Yue6,7; Zhang, Jicong2,3; Liu, Tao2,3,8; Wen, Wei4,5
Source PublicationPLOS ONE
AbstractIdentifying Alzheimer's disease (AD) at its early stage is of major interest in AD research. Previous studies have suggested that abnormalities in regional sulcal width and global sulcal index (g-SI) are characteristics of patients with early-stage AD. In this study, we investigated sulcal width and three other common neuroimaging morphological measures (cortical thickness, cortical volume, and subcortical volume) to identify early-stage AD. These measures were evaluated in 150 participants, including 75 normal controls (NC) and 75 patients with early-stage AD. The global sulcal index (g-SI) and the width of five individual sulci (the superior frontal, intra-parietal, superior temporal, central, and Sylvian fissure) were extracted from 3D T1-weighted images. The discriminative performances of the other three traditional neuroimaging morphological measures were also examined. Information Gain (IG) was used to select a subset of features to provide significant information for separating NC and early-stage AD subjects. Based on the four modalities of the individual measures, i.e.,sulcal measures, cortical thickness, cortical volume, subcortical volume, and combinations of these individual measures, three types of classifiers (Naive Bayes, Logistic Regression and Support Vector Machine) were applied to compare the classification performances. We observed that sulcal measures were either superior than or equal to the other measures used for classification. Specifically, the g- SI and the width of the Sylvian fissure were two of the most sensitive sulcal measures and could be useful neuroanatomical markers for detecting early-stage AD. There were no significant differences between the three classifiers that we tested when using the same neuroanatomical features.
WOS HeadingsScience & Technology
Indexed BySCI
Funding OrganizationNatural Science Foundation of China(81401476 ; National Key Research and Development Program of China(2016YFF0201002) ; 61301005)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000396211400029
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China
2.Beihang Univ, Int Res Inst Multidisciplinary Sci, Beijing, Peoples R China
3.Beihang Univ, Sch Biol Sci & Med Engn, Beijing, Peoples R China
4.Univ New South Wales, Sch Psychiat, Ctr Hlth Brain Ageing, Sydney, NSW, Australia
5.Prince Wales Hosp, Neuropsychiat Inst, Randwick, NSW, Australia
6.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
7.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
8.Beijing Key Lab Rehabil Engn Elderly, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Cai, Kunpeng,Xu, Hong,Guan, Hao,et al. Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices[J]. PLOS ONE,2017,12(1).
APA Cai, Kunpeng.,Xu, Hong.,Guan, Hao.,Zhu, Wanlin.,Jiang, Jiyang.,...&Wen, Wei.(2017).Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices.PLOS ONE,12(1).
MLA Cai, Kunpeng,et al."Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices".PLOS ONE 12.1(2017).
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