Literature DB >> 25292268

Technology-based assessment in patients with disorders of consciousness.

Carol Di Perri1, Lizette Heine, Enrico Amico, Andrea Soddu, Steven Laureys, Athena Demertzi.   

Abstract

INTRODUCTION: A number of studies highlight the difficulty in forming a diagnosis for patients with disorders of consciousness when this is established merely on behavioral assessments.
BACKGROUND: Positron emission tomography (PET), functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and electroencephalography combined with transcranial magnetic stimulation (TMS-EEG) techniques are promoting the clinical characterization of this challenging population. With such technology-based "objective" tools, patients are also differentially able to follow simple commands and in some cases even communicate through modified brain activity. Consequently, the vegetative state and minimally conscious state have been revised and new nosologies have been proposed, namely the unresponsive wakefulness syndrome, the minimally conscious state plus and minus, and the functional locked-in syndrome. AIM: To our mind, an integration of different technical modalities is important to gain a holistic vision of the underlying pathophysiology of disorders of consciousness in general and to promote single-patient medical management in particular.

Entities:  

Mesh:

Year:  2014        PMID: 25292268     DOI: 10.4415/ANN_14_03_03

Source DB:  PubMed          Journal:  Ann Ist Super Sanita        ISSN: 0021-2571            Impact factor:   1.663


  7 in total

1.  Chronic disorders of consciousness.

Authors:  Qiuyou Xie; Xiaoxiao Ni; Ronghao Yu; Yuanqing Li; Ruiwang Huang
Journal:  Exp Ther Med       Date:  2017-06-21       Impact factor: 2.447

2.  [Factors affecting recovery of consciousness in patients with disorders of consciousness following brain trauma: a logistic regression analysis].

Authors:  Qing Lin; Qiu-You Xie; Yan-Bin He; Yan Chen; Xiao-Xiao Ni; Ye-Qun Guo; Yan Shen; Rong-Hao Yu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-03-20

3.  Diagnostic Value of Positron Emission Tomography Combined with Computed Tomography for Evaluating Critically Ill Neurological Patients.

Authors:  Knut Kurt William Kampe; Roman Rotermund; Milena Tienken; Götz Thomalla; Marc Regier; Susanne Klutmann; Stefan Kluge
Journal:  Front Neurol       Date:  2017-02-14       Impact factor: 4.003

4.  The Trace Conditional Learning of the Noxious Stimulus in UWS Patients and Its Prognostic Value in a GSR and HRV Entropy Study.

Authors:  Daniela Cortese; Francesco Riganello; Francesco Arcuri; Lucia Lucca; Paolo Tonin; Caroline Schnakers; Steven Laureys
Journal:  Front Hum Neurosci       Date:  2020-04-09       Impact factor: 3.169

5.  Functional near infrared spectroscopy as a probe of brain function in people with prolonged disorders of consciousness.

Authors:  Agnieszka M Kempny; Leon James; Kudret Yelden; Sophie Duport; Simon Farmer; E Diane Playford; Alexander P Leff
Journal:  Neuroimage Clin       Date:  2016-07-27       Impact factor: 4.881

6.  Neural signature of coma revealed by posteromedial cortex connection density analysis.

Authors:  Briguita Malagurski; Patrice Péran; Benjamine Sarton; Beatrice Riu; Leslie Gonzalez; Fanny Vardon-Bounes; Thierry Seguin; Thomas Geeraerts; Olivier Fourcade; Francesco de Pasquale; Stein Silva
Journal:  Neuroimage Clin       Date:  2017-05-06       Impact factor: 4.881

7.  A Heartbeat Away From Consciousness: Heart Rate Variability Entropy Can Discriminate Disorders of Consciousness and Is Correlated With Resting-State fMRI Brain Connectivity of the Central Autonomic Network.

Authors:  Francesco Riganello; Stephen Karl Larroque; Mohamed Ali Bahri; Lizette Heine; Charlotte Martial; Manon Carrière; Vanessa Charland-Verville; Charlène Aubinet; Audrey Vanhaudenhuyse; Camille Chatelle; Steven Laureys; Carol Di Perri
Journal:  Front Neurol       Date:  2018-09-12       Impact factor: 4.003

  7 in total

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