Classification of Alzheimer’s Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity Networks

Iman Beheshti; Norihide Maikusa; Morteza Daneshmand; Hiroshi Matsuda; Hasan Demirel; Gholamreza Anbarjafari;

doi:10.3233/jad-161080

Classification of Alzheimer’s Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity Networks

Journal of Alzheimer s Disease ◽

10.3233/jad-161080 ◽

2017 ◽

Vol 60 (1) ◽

pp. 295-304 ◽

Cited By ~ 13

Author(s):

Iman Beheshti ◽

Norihide Maikusa ◽

Morteza Daneshmand ◽

Hiroshi Matsuda ◽

Hasan Demirel ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Brain Connectivity ◽

Patient Specific

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Classification of Alzheimer's disease and mild cognitive impairment by pattern recognition of EEG power and coherence

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5495193 ◽

2010 ◽

Cited By ~ 8

Author(s):

Kwaku Akrofi ◽

Ranadip Pal ◽

Mary C. Baker ◽

Brian S. Nutter ◽

Randolph W. Schiffer

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Pattern Recognition ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Eeg Power

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Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Normal Based on Neuropsychological Data via Supervised Learning

TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON) ◽

10.1109/tencon.2019.8929443 ◽

2019 ◽

Author(s):

Gwo Giun Lee ◽

Po-Wei Huang ◽

Yi-Ru Xie ◽

Ming-Chyi Pai

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Supervised Learning ◽

Cognitively Normal

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Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images

Frontiers in Neuroscience ◽

10.3389/fnins.2017.00056 ◽

2017 ◽

Vol 11 ◽

Cited By ~ 17

Author(s):

Ashkan Ebadi ◽

Josué L. Dalboni da Rocha ◽

Dushyanth B. Nagaraju ◽

Fernanda Tovar-Moll ◽

Ivanei Bramati ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Diffusion Tensor ◽

Ensemble Classification ◽

Complex Graph ◽

Diffusion Tensor Images

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Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging

Alzheimer s & Dementia ◽

10.1016/j.jalz.2012.10.001 ◽

2012 ◽

Vol 9 (5) ◽

pp. 529-537 ◽

Cited By ~ 138

Author(s):

David R. Roalf ◽

Paul J. Moberg ◽

Sharon X. Xie ◽

David A. Wolk ◽

Stephen T. Moelter ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Healthy Aging ◽

Screening Instruments

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Classification of Alzheimer’s Disease, Mild Cognitive Impairment, and Normal Controls with Multilayer Perceptron Neural Network and Neuropsychological Test Data

Proceedings of the 12th International Joint Conference on Computational Intelligence ◽

10.5220/0010143304390446 ◽

2020 ◽

Cited By ~ 1

Author(s):

Ibrahim Almubark ◽

Samah Alsegehy ◽

Xiong Jiang ◽

Lin-Ching Chang

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Test Data ◽

Multilayer Perceptron ◽

Neuropsychological Test ◽

Normal Controls

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A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ◽

10.1109/bibm.2015.7359909 ◽

2015 ◽

Cited By ~ 3

Author(s):

Alexander Luke Spedding ◽

Giuseppe Di Fatta ◽

Mario Cannataro

Keyword(s):

Alzheimer’S Disease ◽

Genetic Algorithm ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Structural Mri ◽

Mri Features ◽

Selection Of

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Machine Learning classification of MRI features of Alzheimer's disease and mild cognitive impairment subjects to reduce the sample size in clinical trials

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2011.6091962 ◽

2011 ◽

Cited By ~ 4

Author(s):

J. Escudero ◽

J. P. Zajicek ◽

E. Ifeachor

Keyword(s):

Machine Learning ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Clinical Trials ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Sample Size ◽

Machine Learning Classification ◽

Mri Features

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SVM classification of patients with Alzheimer's disease and mild cognitive impairment using hippocampal shape features

NeuroImage ◽

10.1016/s1053-8119(09)70228-9 ◽

2009 ◽

Vol 47 ◽

pp. S57 ◽

Cited By ~ 2

Author(s):

E Gerardin ◽

M Chupin ◽

R Cuingnet ◽

B Dubois ◽

S Lehéricy ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Shape Features ◽

Svm Classification

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Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment

Brain Imaging and Behavior ◽

10.1007/s11682-015-9480-7 ◽

2015 ◽

Vol 10 (4) ◽

pp. 1148-1159 ◽

Cited By ~ 32

Author(s):

Chen Zu ◽

◽

Biao Jie ◽

Mingxia Liu ◽

Songcan Chen ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Feature Learning ◽

Multimodal Classification ◽

Task Feature

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Grey-matter volume as a potential feature for the classification of Alzheimer’s disease and mild cognitive impairment: an exploratory study

Neuroscience Bulletin ◽

10.1007/s12264-013-1432-x ◽

2014 ◽

Vol 30 (3) ◽

pp. 477-489 ◽

Cited By ~ 22

Author(s):

Yane Guo ◽

Zengqiang Zhang ◽

Bo Zhou ◽

Pan Wang ◽

Hongxiang Yao ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Exploratory Study ◽

Grey Matter ◽

Grey Matter Volume ◽

Matter Volume

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