Literature DB >> 19683363

Combination analysis of neuropsychological tests and structural MRI measures in differentiating AD, MCI and control groups--the AddNeuroMed study.

Yawu Liu1, Teemu Paajanen, Yi Zhang, Eric Westman, Lars-Olof Wahlund, Andrew Simmons, Catherine Tunnard, Tomasz Sobow, Patrizia Mecocci, Magda Tsolaki, Bruno Vellas, Sebastian Muehlboeck, Alan Evans, Christian Spenger, Simon Lovestone, Hilkka Soininen.   

Abstract

To study the ability of neuropsychological tests, manual MRI hippocampal volume measures, regional volume and cortical thickness measures to identify subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy age-matched controls. Neuropsychological tests, manual hippocampal volume, automated regional volume and regional cortical thickness measures were performed in 120 AD patients, 120 MCI subjects, and 111 controls. The regional cortical thickness and volumes in MCI subjects were significantly decreased in limbic/paralimbic areas and temporal lobe compared to controls. Atrophy was much more extensive in the AD patients compared to MCI subjects and controls. The combination of neuropsychological tests and volumes revealed the highest accuracy (82% AD vs. MCI; 94% AD vs. control; 83% MCI vs. control). Adding regional cortical thicknesses into the discriminate analysis did not improve accuracy. We conclude that regional cortical thickness and volume measures provide a panoramic view of brain atrophy in AD and MCI subjects. A combination of neuropsychological tests and regional volumes are important when discriminating AD from healthy controls and MCI.
Copyright © 2009 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19683363     DOI: 10.1016/j.neurobiolaging.2009.07.008

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  27 in total

1.  Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.

Authors:  Rashmi Dubey; Jiayu Zhou; Yalin Wang; Paul M Thompson; Jieping Ye
Journal:  Neuroimage       Date:  2013-10-29       Impact factor: 6.556

2.  An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment.

Authors:  G Spulber; A Simmons; J-S Muehlboeck; P Mecocci; B Vellas; M Tsolaki; I Kłoszewska; H Soininen; C Spenger; S Lovestone; L-O Wahlund; E Westman
Journal:  J Intern Med       Date:  2013-01-30       Impact factor: 8.989

3.  Frequent and discriminative subnetwork mining for mild cognitive impairment classification.

Authors:  Fei Fei; Biao Jie; Daoqiang Zhang
Journal:  Brain Connect       Date:  2014-06

4.  Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease.

Authors:  Xiaoying Tang; Dominic Holland; Anders M Dale; Laurent Younes; Michael I Miller
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment.

Authors:  Eric Westman; Carlos Aguilar; J-Sebastian Muehlboeck; Andrew Simmons
Journal:  Brain Topogr       Date:  2012-08-14       Impact factor: 3.020

6.  Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns.

Authors:  Chong-Yaw Wee; Pew-Thian Yap; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2012-08-28       Impact factor: 5.038

7.  Quantitative validation of a visual rating scale for frontal atrophy: associations with clinical status, APOE e4, CSF biomarkers and cognition.

Authors:  Daniel Ferreira; Lena Cavallin; Tobias Granberg; Olof Lindberg; Carlos Aguilar; Patrizia Mecocci; Bruno Vellas; Magda Tsolaki; Iwona Kłoszewska; Hilkka Soininen; Simon Lovestone; Andrew Simmons; Lars-Olof Wahlund; Eric Westman
Journal:  Eur Radiol       Date:  2015-11-11       Impact factor: 5.315

8.  Using biomarkers to improve detection of Alzheimer's disease.

Authors:  Milton C Biagioni; James E Galvin
Journal:  Neurodegener Dis Manag       Date:  2011-04

9.  Dual-task performance is associated with brain MRI Morphometry in individuals with mild cognitive impairment.

Authors:  Carissa Grijalva; Nima Toosizadeh; Jacob Sindorf; Ying-Hui Chou; Kaveh Laksari
Journal:  J Neuroimaging       Date:  2021-03-30       Impact factor: 2.486

10.  Predicting future cognitive decline with hyperbolic stochastic coding.

Authors:  Jie Zhang; Qunxi Dong; Jie Shi; Qingyang Li; Cynthia M Stonnington; Boris A Gutman; Kewei Chen; Eric M Reiman; Richard J Caselli; Paul M Thompson; Jieping Ye; Yalin Wang
Journal:  Med Image Anal       Date:  2021-02-24       Impact factor: 8.545

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.