Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics

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Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics

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im August 2018 veröffentlichter wissenschaftlicher Artikel

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scientific article published on 14 August 2018

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wetenschappelijk artikel

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наукова стаття, опублікована в серпні 2018

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Prognostication of chronic dis ...... s and clinical characteristics

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Bing Hou

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Jianghong He

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Qiang Zhang

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Qiuyou Xie

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Ronghao Yu

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Ruxiang Xu

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Xiaoyu Xia

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Xinhuai Wu

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Yuanyuan Dang

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Yue Cui

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P2860

Consistent resting-state networks across healthy subjects

The human brain is intrinsically organized into dynamic, anticorrelated functional networks

The brain's default network: anatomy, function, and relevance to disease

Detecting awareness in the vegetative state

Dissociable intrinsic connectivity networks for salience processing and executive control

Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI

Prognosis in severe brain injury.

On the definition of signal-to-noise ratio and contrast-to-noise ratio for FMRI data.

Recent advances in disorders of consciousness: focus on the diagnosis.

Clinical signs and early prognosis in vegetative state: a decisional tree, data-mining study.

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scholarly article

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10.7554/ELIFE.36173

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English

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2018-08-14T00:00:00Z

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30106378

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consciousness

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6145856

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