Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning-Reference-Cited by-同舟云学术

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Disentangling disorders of consciousness: Insights from diffusion tensor imaging and machine learning

Published:2016-09-13 Issue:1 Volume:38 Page:431-443
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum. Brain Mapp.

Author:

Zheng Zhong S.¹,Reggente Nicco¹,Lutkenhoff Evan¹,Owen Adrian M.²,Monti Martin M.¹³

Affiliation:

1. Department of PsychologyUniversity of California Los AngelesLos Angeles California

2. The Brain and Mind Institute, University of Western OntarioLondon Ontario Canada

3. Department of NeurosurgeryUniversity of California Los AngelesLos Angeles California

Funder

Medical Research Council

Division of Graduate Education

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.23370

Reference51 articles.

1. Toward a Unified Theory of Narcosis: Brain Imaging Evidence for a Thalamocortical Switch as the Neurophysiologic Basis of Anesthetic-Induced Unconsciousness

2. Misdiagnosis of the vegetative state: retrospective study in a rehabilitation unit

3. A reproducible evaluation of ANTs similarity metric performance in brain image registration

4. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging

5. Functional connectivity in the default network during resting state is preserved in a vegetative but not in a brain dead patient

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