A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients-Reference-Cited by-同舟云学术

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A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients

Published:2019-06 Issue: Volume:365 Page:210-221
ISSN:0166-4328
Container-title:Behavioural Brain Research
language:en
Short-container-title:Behavioural Brain Research

Author:

Sheng Jinhua,Wang Bocheng,Zhang Qiao,Liu Qingqiang,Ma Yangjie,Liu Weixiang,Shao Meiling,Chen Bin

Funder

National Natural Science Foundation of China

Alzheimer's Disease Neuroimaging Initiative

DOD ADNI (Department of Defense

National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, Alzheimer’s Association

Publisher

Elsevier BV

Subject

Behavioral Neuroscience

Reference42 articles.

1. Precuneus and cingulate cortex atrophy and hypometabolism in patients with Alzheimer’s disease and mild cognitive impairment: MRI and 18F-FDG PET quantitative analysis using FreeSurfer;Bailly;Biomed Res. Int.,2015

2. Response of the medial temporal lobe network in amnestic mild cognitive impairment to therapeutic intervention assessed by fMRI and memory task performance;Bakker;Neuroimage Clin.,2015

3. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain;Tzourio-Mazoyer;Neuroimage,2002

4. Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI;Khazaee;Behav. Brain Res.,2017

5. Spatial patterns of atrophy, hypometabolism, and amyloid deposition in Alzheimer’s disease correspond to dissociable functional brain networks;Grothe;Hum. Brain Mapp.,2016

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