Literature DB >> 23165873

Electrophysiological investigations of brain function in coma, vegetative and minimally conscious patients.

R Lehembre1, O Gosseries, Z Lugo, Z Jedidi, C Chatelle, B Sadzot, S Laureys, Q Noirhomme.   

Abstract

Electroencephalographic activity in the context of disorders of consciousness is a swiss knife like tool that can evaluate different aspects of cognitive residual function, detect consciousness and provide a mean to communicate with the outside world without using muscular channels. Standard recordings in the neurological department offer a first global view of the electrogenesis of a patient and can spot abnormal epileptiform activity and therefore guide treatment. Although visual patterns have a prognosis value, they are not sufficient to provide a diagnosis between vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) patients. Quantitative electroencephalography (qEEG) processes the data and retrieves features, not visible on the raw traces, which can then be classified. Current results using qEEG show that MCS can be differentiated from VS/UWS patients at the group level. Event Related Potentials (ERP) are triggered by varying stimuli and reflect the time course of information processing related to the stimuli from low-level peripheral receptive structures to high-order associative cortices. It is hence possible to assess auditory, visual, or emotive pathways. Different stimuli elicit positive or negative components with different time signatures. The presence of these components when observed in passive paradigms is usually a sign of good prognosis but it cannot differentiate VS/UWS and MCS patients. Recently, researchers have developed active paradigms showing that the amplitude of the component is modulated when the subject's attention is focused on a task during stimulus presentation. Hence significant differences between ERPs of a patient in a passive compared to an active paradigm can be a proof of consciousness. An EEG-based brain-computer interface (BCI) can then be tested to provide the patient with a communication tool. BCIs have considerably improved the past two decades. However they are not easily adaptable to comatose patients as they can have visual or auditory impairments or different lesions affecting their EEG signal. Future progress will require large databases of resting state-EEG and ERPs experiment of patients of different etiologies. This will allow the identification of specific patterns related to the diagnostic of consciousness. Standardized procedures in the use of BCIs will also be needed to find the most suited technique for each individual patient.

Entities:  

Mesh:

Year:  2012        PMID: 23165873     DOI: 10.4449/aib.v150i2.1374

Source DB:  PubMed          Journal:  Arch Ital Biol        ISSN: 0003-9829            Impact factor:   1.000


  16 in total

1.  Measuring Depth in Still Water: Electrophysiologic Indicators of Residual Consciousness in the Unresponsive Patient.

Authors:  Matthew A Koenig; Peter W Kaplan
Journal:  Epilepsy Curr       Date:  2018 May-Jun       Impact factor: 7.500

2.  Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo.

Authors:  Tristan Altwegg-Boussac; Séverine Mahon; Mario Chavez; Stéphane Charpier; Adrien E Schramm
Journal:  J Vis Exp       Date:  2016-03-31       Impact factor: 1.355

Review 3.  Distancing sedation in end-of-life care from physician-assisted suicide and euthanasia.

Authors:  Tze Ling Gwendoline Beatrice Soh; Lalit Kumar Radha Krishna; Shin Wei Sim; Alethea Chung Peng Yee
Journal:  Singapore Med J       Date:  2016-05       Impact factor: 1.858

4.  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

5.  Neurophysiological assessment for evaluating residual cognition in vegetative and minimally conscious state patients: a pilot study.

Authors:  Simona De Salvo; Fabrizia Caminiti; Lilla Bonanno; Maria Cristina De Cola; Francesco Corallo; Antonio Caizzone; Carmela Rifici; Placido Bramanti; Silvia Marino
Journal:  Funct Neurol       Date:  2015 Oct-Dec

Review 6.  Disorders of consciousness after acquired brain injury: the state of the science.

Authors:  Joseph T Giacino; Joseph J Fins; Steven Laureys; Nicholas D Schiff
Journal:  Nat Rev Neurol       Date:  2014-01-28       Impact factor: 42.937

Review 7.  Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness.

Authors:  Emilia Mikołajewska; Dariusz Mikołajewski
Journal:  Mil Med Res       Date:  2014-07-14

8.  On ERPs detection in disorders of consciousness rehabilitation.

Authors:  Monica Risetti; Rita Formisano; Jlenia Toppi; Lucia R Quitadamo; Luigi Bianchi; Laura Astolfi; Febo Cincotti; Donatella Mattia
Journal:  Front Hum Neurosci       Date:  2013-11-20       Impact factor: 3.169

9.  Assessing consciousness with auditory event-related potential during coma recovery: a case study.

Authors:  Xiaoyan Wang; Hao Zhang; Xiaonian Zhang; Xinting Sun; Tong Zhang
Journal:  Neuroreport       Date:  2015-01-21       Impact factor: 1.837

10.  Assessing learning as a possible sign of consciousness in post-coma persons with minimal responsiveness.

Authors:  Giulio E Lancioni; Andrea Bosco; Marta Olivetti Belardinelli; Nirbhay N Singh; Mark F O'Reilly; Jeff Sigafoos; Francesca Buonocunto; Jorge Navarro; Crocifissa Lanzilotti; Fiora D'Amico; Marina De Tommaso
Journal:  Front Hum Neurosci       Date:  2014-02-10       Impact factor: 3.169

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