Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices

doi:10.1371/journal.pone.0170875

	Identification of Early-Stage Alzheimer's Disease Using Sulcal Morphology and Other Common Neuroimaging Indices
	Cai, Kunpeng 1,2; Xu, Hong 1; Guan, Hao 2,3; Zhu, Wanlin 2,4; Jiang, Jiyang 4,5; Cui, Yue6,7 ; Zhang, Jicong 2,3; Liu, Tao 2,3,8; Wen, Wei 4,5
发表期刊	PLOS ONE
	2017-01-27
卷号	12 期号:1
文章类型	Article
摘要	Identifying 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标题词	Science & Technology
DOI	10.1371/journal.pone.0170875
关键词[WOS]	MILD COGNITIVE IMPAIRMENT ; VOXEL-BASED MORPHOMETRY ; REDUCED CORTICAL FEATURES ; MEDIAL TEMPORAL-LOBE ; IMAGING BIOMARKERS ; ENTORHINAL CORTEX ; CEREBRAL-CORTEX ; OLDER-ADULTS ; MRI ; AD
收录类别	SCI
语种	英语
项目资助者	Natural Science Foundation of China(81401476 ; National Key Research and Development Program of China(2016YFF0201002) ; 61301005)
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000396211400029
引用统计	被引频次：30[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/14382
专题	脑图谱与类脑智能实验室_脑网络组研究
作者单位	1.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
推荐引用方式 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).