Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. - Wikidata - wikimedia - TriplyDB

Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness.

Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness.

http://www.wikidata.org/entity/Q45078938

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A Review of Resting-State Electroencephalography Analysis in Disorders of Consciousness.Minimally conscious state or cortically mediated state?Tau burden and the functional connectome in Alzheimer's disease and progressive supranuclear palsy.A Systematic Review and Meta-Analysis of the Relationship Between Brain Data and the Outcome in Disorders of Consciousness.BCI Performance and Brain Metabolism Profile in Severely Brain-Injured Patients Without Response to Command at Bedside.Brain, Behavior, and Cognitive Interplay in Disorders of Consciousness: A Multiple Case Study Disorders of Consciousness in China Longitudinal Bedside Assessments of Brain Networks in Disorders of Consciousness: Case Reports From the Field Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics Consciousness as a Physical Process Caused by the Organization of Energy in the Brain

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Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness.

http://www.wikidata.org/entity/Q45078938

description

2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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name

Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness.

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Brain networks predict metabol ...... in disorders of consciousness

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Aurore Thibaut

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Caroline Schnakers

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David Menon

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Jitka Annen

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Sarah Wannez

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P2860

Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome

Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment

Collective dynamics of 'small-world' networks

Detecting awareness in the vegetative state

Brain Connectivity Dissociates Responsiveness from Drug Exposure during Propofol-Induced Transitions of Consciousness

The Minimal Energetic Requirement of Sustained Awareness after Brain Injury

Fast unfolding of communities in large networks

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Complex network measures of brain connectivity: uses and interpretations

A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs

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2120-2132

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10.1093/BRAIN/AWX163

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8

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140

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Camille Chatelle

Géraldine Martens

Héléna Cassol

Olivia Gosseries

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2017-08-01T00:00:00Z

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28666351

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