Literature DB >> 25381459

Stability of auditory event-related potentials in coma research.

Barbara Schorr1, Winfried Schlee, Marion Arndt, Dorothée Lulé, Iris-Tatjana Kolassa, Alex Lopez-Rolon, Alexander Lopez-Rolon, Andreas Bender.   

Abstract

Patients with unresponsive wakefulness syndrome (UWS) or in minimally conscious state (MCS) after brain injury show significant fluctuations in their behavioural abilities over time. As the importance of event-related potentials (ERPs) in the detection of traces of consciousness increases, we investigated the retest reliability of ERPs with repeated tests at four different time points. Twelve healthy controls and 12 inpatients (8 UWS, 4 MCS; 6 traumatic, 6 non-traumatic) were tested twice a day (morning, afternoon) for 2 days with an auditory oddball task. ERPs were recorded with a 256-channel-EEG system, and correlated with behavioural test scores in the Coma Recovery Scale-revised (CRS-R). The number of identifiable P300 responses varied between zero and four in both groups. Reliabilities varied between Krippendorff's α = 0.43 for within-day comparison, and α = 0.25 for between-day comparison in the patient group. Retest reliability was strong for the CRS-R scores for all comparisons (α = 0.83-0.95). The stability of auditory information processing in patients with disorders of consciousness is the basis for other, even more demanding tasks and cognitive potentials. The relatively low ERP-retest reliability suggests that it is necessary to perform repeated tests, especially when probing for consciousness with ERPs. A single negative ERP test result may be mistaken for proof that a UWS patient truly is unresponsive.

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Year:  2014        PMID: 25381459     DOI: 10.1007/s00415-014-7561-y

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  31 in total

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2.  A triarchic model of P300 amplitude.

Authors:  R Johnson
Journal:  Psychophysiology       Date:  1986-07       Impact factor: 4.016

3.  Reference-free identification of components of checkerboard-evoked multichannel potential fields.

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

Authors:  K Andrews; L Murphy; R Munday; C Littlewood
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Review 5.  The minimally conscious state: definition and diagnostic criteria.

Authors:  Joseph T Giacino; S Ashwal; N Childs; R Cranford; B Jennett; D I Katz; J P Kelly; J H Rosenberg; J Whyte; R D Zafonte; N D Zasler
Journal:  Neurology       Date:  2002-02-12       Impact factor: 9.910

6.  Post-acute P300 predicts recovery of consciousness from traumatic vegetative state.

Authors:  Marianna Cavinato; Ulderico Freo; Carlo Ori; Manuel Zorzi; Paolo Tonin; Francesco Piccione; Antonio Merico
Journal:  Brain Inj       Date:  2009-11       Impact factor: 2.311

7.  Retest reliability of event-related potentials: evidence from a variety of paradigms.

Authors:  Sarah M Cassidy; Ian H Robertson; Redmond G O'Connell
Journal:  Psychophysiology       Date:  2012-02-15       Impact factor: 4.016

8.  Voluntary brain processing in disorders of consciousness.

Authors:  C Schnakers; F Perrin; M Schabus; S Majerus; D Ledoux; P Damas; M Boly; A Vanhaudenhuyse; M-A Bruno; G Moonen; S Laureys
Journal:  Neurology       Date:  2008-11-11       Impact factor: 9.910

9.  Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients.

Authors:  Audrey Vanhaudenhuyse; Quentin Noirhomme; Luaba J-F Tshibanda; Marie-Aurelie Bruno; Pierre Boveroux; Caroline Schnakers; Andrea Soddu; Vincent Perlbarg; Didier Ledoux; Jean-François Brichant; Gustave Moonen; Pierre Maquet; Michael D Greicius; Steven Laureys; Melanie Boly
Journal:  Brain       Date:  2009-12-23       Impact factor: 13.501

10.  FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.

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  5 in total

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

Authors:  Matthew A Koenig; Peter W Kaplan
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2.  Coherence in resting-state EEG as a predictor for the recovery from unresponsive wakefulness syndrome.

Authors:  Barbara Schorr; Winfried Schlee; Marion Arndt; Andreas Bender
Journal:  J Neurol       Date:  2016-03-16       Impact factor: 4.849

3.  tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome.

Authors:  Baohu Liu; Xu Zhang; Yuanyuan Li; Guoping Duan; Jun Hou; Jiayi Zhao; Tongtong Guo; Dongyu Wu
Journal:  Front Neurosci       Date:  2022-06-24       Impact factor: 5.152

4.  Cognitive Processing in Non-Communicative Patients: What Can Event-Related Potentials Tell Us?

Authors:  Zulay R Lugo; Lucia R Quitadamo; Luigi Bianchi; Fréderic Pellas; Sandra Veser; Damien Lesenfants; Ruben G L Real; Cornelia Herbert; Christoph Guger; Boris Kotchoubey; Donatella Mattia; Andrea Kübler; Steven Laureys; Quentin Noirhomme
Journal:  Front Hum Neurosci       Date:  2016-11-14       Impact factor: 3.169

5.  Informal Caregivers of Patients with Disorders of Consciousness: a Qualitative Study of Communication Experiences and Information Needs with Physicians.

Authors:  Karoline Boegle; Marta Bassi; Angela Comanducci; Katja Kuehlmeyer; Philipp Oehl; Theresa Raiser; Martin Rosenfelder; Jaco Diego Sitt; Chiara Valota; Lina Willacker; Andreas Bender; Eva Grill
Journal:  Neuroethics       Date:  2022-07-23       Impact factor: 1.427

  5 in total

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