Mapping gray matter volume and cortical thickness in Alzheimer's disease

被引:1
|
作者
Guo, Xiaojuan [1 ,2 ]
Li, Ziyi [1 ]
Chen, Kewei [3 ,4 ]
Yao, Li [1 ,2 ]
Wang, Zhiqun [5 ]
Li, Kuncheng [5 ]
机构
[1] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Inst Cognit Neurosci & Learning, Beijing 100875, Peoples R China
[3] Banner Alzheimers Inst, Phoenix, AZ 85006 USA
[4] Banner Good Samaritan PET Ctr, Phoenix, AZ 85006 USA
[5] Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China
来源
MEDICAL IMAGING 2010: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING | 2010年 / 7626卷
基金
中国国家自然科学基金;
关键词
Alzheimer's Disease; Cortical Thickness; Gray Matter; MRI; VBM; VOXEL-BASED MORPHOMETRY; SURFACE-BASED ANALYSIS; PATTERNS;
D O I
10.1117/12.844070
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Gray matter volume and cortical thickness are two important indices widely used to detect neuropathological changes in brain structural magnetic resonance imaging. Using optimized voxel-based morphometry (VBM) protocol and surface-based cortical thickness measure, this study comprehensively investigated the regional changes in cortical gray matter volume and cortical thickness in Alzheimer's disease (AD). Thirteen patients with AD and fourteen age-and gender-matched healthy controls were included in this study. Results showed that voxel-based gray matter volume and cortical thickness reductions were highly correlated in the temporal lobe and its medial structure in AD. Moreover significant reduced cortical regions of gray matter volume were obviously more than that of cortical thickness. These findings suggest that gray matter volume and cortical thickness, as two important imaging markers, are effective indices for detecting the neuroanatomical alterations and help us understand the neuropathology from different views in AD.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Cortical Changes in Incipient Alzheimer's Disease
    Prestia, Annapaola
    Drago, Valeria
    Rasser, Paul E.
    Bonetti, Matteo
    Thompson, Paul M.
    Frisoni, Giovanni B.
    JOURNAL OF ALZHEIMERS DISEASE, 2010, 22 (04) : 1339 - 1349
  • [42] Apathy and cortical atrophy in Alzheimer's disease
    Tunnard, C.
    Whitehead, D.
    Hurt, C.
    Wahlund, L. O.
    Mecocci, P.
    Tsolaki, M.
    Vellas, B.
    Spenger, C.
    Kloszewska, I.
    Soininen, H.
    Lovestone, S.
    Simmons, A.
    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2011, 26 (07) : 741 - 748
  • [43] Mapping ventricular expansion onto cortical gray matter in older adults
    Madsen, Sarah K.
    Gutman, Boris A.
    Joshi, Shantanu H.
    Toga, Arthur W.
    Jack, Clifford R.
    Weiner, Michael W.
    Thompson, Paul M.
    NEUROBIOLOGY OF AGING, 2015, 36 : S32 - S41
  • [44] Effects of demographic factors on cortical thickness in Alzheimer's disease
    Seo, Sang Won
    Im, Kiho
    Lee, Jong-Min
    Kim, Sung Tae
    Ahn, Hyun Jung
    Go, Seok Min
    Kim, Sook-Hui
    Na, Duk L.
    NEUROBIOLOGY OF AGING, 2011, 32 (02) : 200 - 209
  • [45] Single-subject gray matter networks predict future cortical atrophy in preclinical Alzheimer's disease
    Dicks, Ellen
    van der Flier, Wiesje M.
    Scheltens, Philip
    Barkhof, Frederik
    Tijms, Betty M.
    NEUROBIOLOGY OF AGING, 2020, 94 : 71 - 80
  • [46] Cerebral changes and disrupted gray matter cortical networks in asymptomatic older adults at risk for Alzheimer's disease
    Cantero, Jose L.
    Atienza, Mercedes
    Sanchez-Juan, Pascual
    Rodriguez-Rodriguez, Eloy
    Luis Vazquez-Higuera, Jose
    Pozueta, Ana
    Gonzalez-Suarez, Andrea
    Vilaplana, Eduard
    Pegueroles, Jordi
    Montal, Victor
    Blesa, Rafael
    Alcolea, Daniel
    Lleo, Alberto
    Fortea, Juan
    NEUROBIOLOGY OF AGING, 2018, 64 : 58 - 67
  • [47] Associations between Cortical Thickness and Metamemory in Alzheimer's Disease
    Duran, Tugce
    Woo, Ellen
    Otero, Diana
    Risacher, Shannon L.
    Stage, Eddie
    Sanjay, Apoorva B.
    Nho, Kwangsik
    West, John D.
    Phillips, Meredith L.
    Goukasian, Naira
    Hwang, Kristy S.
    Apostolova, Liana G.
    BRAIN IMAGING AND BEHAVIOR, 2022, 16 (04) : 1495 - 1503
  • [48] Classification of Alzheimer's Disease Based on Cortical Thickness Using AdaBoost and Combination Feature Selection Method
    Hu, Zhiwei
    Pan, Zhifang
    Lu, Hongtao
    Li, Wenbin
    COMPUTING AND INTELLIGENT SYSTEMS, PT IV, 2011, 234 : 392 - 401
  • [49] Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features
    Li, Yang
    Wang, Yaping
    Wu, Guorong
    Shi, Feng
    Zhou, Luping
    Lin, Weili
    Shen, Dinggang
    NEUROBIOLOGY OF AGING, 2012, 33 (02) : 427.e15 - 427.e30
  • [50] Classification of Alzheimer's disease based on cortical thickness using AdaBoost and combination feature selection method
    Hu, Zhiwei
    Pan, Zhifang
    Lu, Hongtao
    Li, Wenbin
    2010 INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING (ICBSSP 2010), 2010, : 87 - 91