title: Abnormal changes of multidimensional surface features using multivariate pattern classification in amnestic mild cognitive impairment patients.
abstract: Previous studies have suggested that amnestic mild cognitive impairment (aMCI) is associated with changes in cortical morphological features, such as cortical thickness, sulcal depth, surface area, gray matter volume, metric distortion, and mean curvature. These features have been proven to have specific neuropathological and genetic underpinnings. However, most studies primarily focused on mass-univariate methods, and cortical features were generally explored in isolation. Here, we used a multivariate method to characterize the complex and subtle structural changing pattern of cortical anatomy in 24 aMCI human participants and 26 normal human controls. Six cortical features were extracted for each participant, and the spatial patterns of brain abnormities in aMCI were identified by high classification weights using a support vector machine method. The classification accuracy in discriminating the two groups was 76% in the left hemisphere and 80% in the right hemisphere when all six cortical features were used. Regions showing high weights were subtle, spatially complex, and predominately located in the left medial temporal lobe and the supramarginal and right inferior parietal lobes. In addition, we also found that the six morphological features had different contributions in discriminating the two groups even for the same region. Our results indicated that the neuroanatomical patterns that discriminated individuals with aMCI from controls were truly multidimensional and had different effects on the morphological features. Furthermore, the regions identified by our method could potentially be useful for clinical diagnosis.
authors.affiliation: School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China, shuyuli@buaa.edu.cn 13621011941@163.com.
authors.forename: Shuyu
authors.initials: S
authors.lastname: Li
authors.affiliation: School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Xiankun
authors.initials: X
authors.lastname: Yuan
authors.affiliation: School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Pu
authors.affiliation: School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Deyu
authors.initials: D
authors.lastname: Li
authors.affiliation: School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Yubo
authors.initials: Y
authors.lastname: Fan
authors.affiliation: Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China, Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China.
authors.forename: Liyong
authors.initials: L
authors.lastname: Wu
authors.affiliation: Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China, and.
authors.forename: Wang
authors.initials: W
authors.lastname: Chao
authors.affiliation: Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China, and.
authors.forename: Nan
authors.initials: N
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: He
authors.affiliation: Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China, Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China, shuyuli@buaa.edu.cn 13621011941@163.com.
authors.forename: Ying
authors.initials: Y
authors.lastname: Han
mesh_terms: D000368:Aged; D000647:Amnesia / Q000150:complications / Q000473:pathology*; D001931:Brain Mapping / Q000145:classification*; D002540:Cerebral Cortex / Q000473:pathology*; D060825:Cognitive Dysfunction / Q000150:complications / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008609:Mental Status Schedule; D008875:Middle Aged; D012372:ROC Curve; D060388:Support Vector Machine
keywords: MRI; aMCI; cortical surface feature; entorhinal; multivariate classification
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