Literature DB >> 18160312

MMSE scores correlate with local ventricular enlargement in the spectrum from cognitively normal to Alzheimer disease.

Luca Ferrarini1, Walter M Palm, Hans Olofsen, Roald van der Landen, Gerard Jan Blauw, Rudi G J Westendorp, Eduard L E M Bollen, Huub A M Middelkoop, Johan H C Reiber, Mark A van Buchem, Faiza Admiraal-Behloul.   

Abstract

In this work, we aimed at correlating focal atrophy in periventricular structures with cognitive function, in the spectrum from healthy subjects to severe Alzheimer disease: 28 subjects with normal cognition and 84 patients presenting various degrees of cognitive impairment were included in the study. The cognitive level of each subject was assessed with the Mini-Mental State Examination (MMSE). Atrophy in periventricular structures was inferred by modeling and analyzing local shape variations of brain ventricles: for a given subject, we distinguished between the severity of atrophy, estimated as local enlargement (in mm) of the ventricular surface relative to an average normal subject, and the extent of atrophy, defined as the percentage of the ventricular surface (global or per anatomical region) significantly different from an average control. Linear regression across subjects was performed to evaluate the correlation between atrophy and MMSE score. The severity of atrophy showed good correlation with MMSE score in the left thalamus, the left temporal horn, the left corona radiata, and the right caudate nuclei. The extent of atrophy showed no significant correlations. In conclusion, the MMSE scores correlate with localized depth of atrophy in well-defined periventricular structures.

Entities:  

Mesh:

Year:  2007        PMID: 18160312     DOI: 10.1016/j.neuroimage.2007.11.003

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  25 in total

1.  Microstructural diffusion changes are independent of macrostructural volume loss in moderate to severe Alzheimer's disease.

Authors:  Elisa Canu; Donald G McLaren; Michele E Fitzgerald; Barbara B Bendlin; Giada Zoccatelli; Franco Alessandrini; Francesca B Pizzini; Giuseppe K Ricciardi; Alberto Beltramello; Sterling C Johnson; Giovanni B Frisoni
Journal:  J Alzheimers Dis       Date:  2010       Impact factor: 4.472

2.  Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.

Authors:  Xiaoqian Wang; Xiantong Zhen; Quanzheng Li; Dinggang Shen; Heng Huang
Journal:  Neuroinformatics       Date:  2018-10

3.  Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study.

Authors:  Yalin Wang; Yang Song; Priya Rajagopalan; Tuo An; Krystal Liu; Yi-Yu Chou; Boris Gutman; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2011-03-23       Impact factor: 6.556

4.  Altered structural and functional connectivity in CSF1R-related leukoencephalopathy.

Authors:  Fei-Xia Zhan; Ze-Yu Zhu; Qing Liu; Hai-Yan Zhou; Xing-Hua Luan; Xiao-Jun Huang; Xiao-Li Liu; Wo-Tu Tian; Shi-Ge Wang; Xiao-Xuan Song; Guang Chen; Ming-Liang Zhao; Ying Wang; Hui-Dong Tang; Jiong Hu; Sheng-Di Chen; Bin-Yin Li; Li Cao
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

5.  Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls.

Authors:  Yi-Yu Chou; Natasha Leporé; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-02-21       Impact factor: 6.556

6.  MRI correlates of protein deposition and disease severity in postmortem frontotemporal lobar degeneration.

Authors:  Jennifer L Whitwell; Clifford R Jack; Matthew L Senjem; Joseph E Parisi; Bradley F Boeve; David S Knopman; Dennis W Dickson; Ronald C Petersen; Keith A Josephs
Journal:  Neurodegener Dis       Date:  2009-03-19       Impact factor: 2.977

7.  Multivariate tensor-based morphometry on surfaces: application to mapping ventricular abnormalities in HIV/AIDS.

Authors:  Yalin Wang; Jie Zhang; Boris Gutman; Tony F Chan; James T Becker; Howard J Aizenstein; Oscar L Lopez; Robert J Tamburo; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-11-06       Impact factor: 6.556

8.  Predicting clinical scores from magnetic resonance scans in Alzheimer's disease.

Authors:  Cynthia M Stonnington; Carlton Chu; Stefan Klöppel; Clifford R Jack; John Ashburner; Richard S J Frackowiak
Journal:  Neuroimage       Date:  2010-03-25       Impact factor: 6.556

9.  Longitudinal clinical score prediction in Alzheimer's disease with soft-split sparse regression based random forest.

Authors:  Lei Huang; Yan Jin; Yaozong Gao; Kim-Han Thung; Dinggang Shen
Journal:  Neurobiol Aging       Date:  2016-07-15       Impact factor: 4.673

10.  Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease.

Authors:  Maria F Falangola; Jens H Jensen; Ali Tabesh; Caixia Hu; Rachael L Deardorff; James S Babb; Steven Ferris; Joseph A Helpern
Journal:  Magn Reson Imaging       Date:  2013-04-18       Impact factor: 2.546

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.