title: Topological Properties of Large-Scale Cortical Networks Based on Multiple Morphological Features in Amnestic Mild Cognitive Impairment.
abstract: Previous studies have demonstrated that amnestic mild cognitive impairment (aMCI) has disrupted properties of large-scale cortical networks based on cortical thickness and gray matter volume. However, it is largely unknown whether the topological properties of cortical networks based on geometric measures (i.e., sulcal depth, curvature, and metric distortion) change in aMCI patients compared with normal controls because these geometric features of cerebral cortex may be related to its intrinsic connectivity. Here, we compare properties in cortical networks constructed by six different morphological features in 36 aMCI participants and 36 normal controls. Six cortical features (3 volumetric and 3 geometric features) were extracted for each participant, and brain abnormities in aMCI were identified by cortical network based on graph theory method. All the cortical networks showed small-world properties. Regions showing significant differences mainly located in the medial temporal lobe and supramarginal and right inferior parietal lobe. In addition, we also found that the cortical networks constructed by cortical thickness and sulcal depth showed significant differences between the two groups. Our results indicated that geometric measure (i.e., sulcal depth) can be used to construct network to discriminate individuals with aMCI from controls besides volumetric measures.
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Qiongling
authors.initials: Q
authors.lastname: Li
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Xinwei
authors.initials: X
authors.lastname: Li
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Xuetong
authors.initials: X
authors.lastname: Wang
authors.affiliation: Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Department of Neurology, Tangshan Gongren Hospital, Tangshan 063000, China.
authors.forename: Yuxia
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
authors.forename: Kuncheng
authors.initials: K
authors.lastname: Li
authors.affiliation: Department of Neurology, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang 157011, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Yu
authors.affiliation: Department of Neurology, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang 157011, China.
authors.forename: Changhao
authors.initials: C
authors.lastname: Yin
authors.affiliation: Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science & Medical Engineering, Beihang University, Beijing 100191, China.
authors.forename: Shuyu
authors.initials: S
authors.lastname: Li
authors.affiliation: Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing 100053, China; Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Han
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000647:Amnesia / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D060825:Cognitive Dysfunction / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000000981:diagnostic imaging* / Q000473:pathology / Q000503:physiopathology