Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition-Reference-Cited by-同舟云学术

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Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition

Published:2019-07 Issue:7 Volume:5 Page:e02074
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Ye Chenfei,Albert Marilyn,Brown Timothy,Bilgel Murat^ORCID,Hsu Johnny,Ma Ting^ORCID,Caffo Brian,Miller Michael I.,Mori Susumu,Oishi Kenichi

Funder

Dana Foundation

National Institutes of Health

Department of Radiology

Johns Hopkins University

School of Medicine

Basic Research Foundation

Shenzhen Science and Technology

Basic Research Foundation Key Project Track of Shenzhen Science and Technology Program

National Institute on Aging

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference102 articles.

1. Frequent amyloid deposition without significant cognitive impairment among the elderly;Aizenstein;Arch. Neurol.,2008

2. Cognitive changes preceding clinical symptom onset of mild cognitive impairment and relationship to ApoE genotype;Albert;Curr. Alzheimer Res.,2014

3. Imaging structural co-variance between human brain regions;Alexander-Bloch;Nat. Rev. Neurosci.,2013

4. Dementia induces correlated reductions in white matter integrity and cortical thickness: a multivariate neuroimaging study with sparse canonical correlation analysis;Avants;Neuroimage,2010

5. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain;Avants;Med. Image Anal.,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anatomical Covariance Analysis: Detection of Disrupted Correlation Network Related to Clinical Trait Fatigue in Multiple Sclerosis: A Pilot Study;Behavioural Neurology;2020-12-23

2. Optimizing Diffusion Imaging Protocols for Structural Connectomics in Mouse Models of Neurological Conditions;Frontiers in Physics;2020-04-21

3. Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI;Cerebral Cortex Communications;2020

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