Multivariate Deep Learning Classification of Alzheimer’s Disease Based on Hierarchical Partner Matching Independent Component Analysis-Reference-Cited by-同舟云学术

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Multivariate Deep Learning Classification of Alzheimer’s Disease Based on Hierarchical Partner Matching Independent Component Analysis

Published:2018-12-17 Issue: Volume:10 Page:
ISSN:1663-4365
Container-title:Frontiers in Aging Neuroscience
language:
Short-container-title:Front. Aging Neurosci.

Author:

Qiao Jianping,Lv Yingru,Cao Chongfeng,Wang Zhishun,Li Anning

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Frontiers Media SA

Subject

Cognitive Neuroscience,Ageing

Reference83 articles.

1. Reduced hippocampal functional connectivity in Alzheimer disease;Allen;Arch. Neurol.,2007

2. 2011 Alzheimer’s disease facts and figures;Alzheimers Dement.,2011

3. Classification of single normal and Alzheimer’s disease individuals from cortical sources of resting state EEG rhythms;Babiloni;Front. Neurosci.,2016

4. Measurements of the amygdala and hippocampus in pathologically confirmed Alzheimer disease and frontotemporal lobar degeneration;Barnes;Arch. Neurol.,2006

5. Resting-state fMRI changes in Alzheimer’s disease and mild cognitive impairment;Binnewijzend;Neurobiol. Aging,2012

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