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Herrera-Diaz A, Boshra R, Tavakoli P, Lin CYA, Pajankar N, Bagheri E, Kolesar R, Fox-Robichaud A, Hamielec C, Reilly JP, Connolly JF. Tracking auditory mismatch negativity responses during full conscious state and coma. Front Neurol 2023; 14:1111691. [PMID: 36970526 PMCID: PMC10036371 DOI: 10.3389/fneur.2023.1111691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/21/2023] [Indexed: 03/12/2023] Open
Abstract
The mismatch negativity (MMN) is considered the electrophysiological change-detection response of the brain, and therefore a valuable clinical tool for monitoring functional changes associated with return to consciousness after severe brain injury. Using an auditory multi-deviant oddball paradigm, we tracked auditory MMN responses in seventeen healthy controls over a 12-h period, and in three comatose patients assessed over 24 h at two time points. We investigated whether the MMN responses show fluctuations in detectability over time in full conscious awareness, or whether such fluctuations are rather a feature of coma. Three methods of analysis were utilized to determine whether the MMN and subsequent event-related potential (ERP) components could be identified: traditional visual analysis, permutation t-test, and Bayesian analysis. The results showed that the MMN responses elicited to the duration deviant-stimuli are elicited and reliably detected over the course of several hours in healthy controls, at both group and single-subject levels. Preliminary findings in three comatose patients provide further evidence that the MMN is often present in coma, varying within a single patient from easily detectable to undetectable at different times. This highlights the fact that regular and repeated assessments are extremely important when using MMN as a neurophysiological predictor of coma emergence.
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Affiliation(s)
- Adianes Herrera-Diaz
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
- *Correspondence: Adianes Herrera-Diaz
| | - Rober Boshra
- Princenton Neuroscience Institute, Princeton University, Princeton, NJ, United States
| | - Paniz Tavakoli
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
| | - Chia-Yu A. Lin
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
| | - Netri Pajankar
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
| | - Elham Bagheri
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
| | - Richard Kolesar
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
| | - Alison Fox-Robichaud
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Critical Care Medicine, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Cindy Hamielec
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Critical Care Medicine, Hamilton Health Sciences, Hamilton, ON, Canada
| | - James P. Reilly
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
| | - John F. Connolly
- Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL), McMaster University, Hamilton, ON, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Department of Anesthesia, McMaster University, Hamilton, ON, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
- VoxNeuro, Inc., Toronto, ON, Canada
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Benghanem S, Pruvost-Robieux E, Bouchereau E, Gavaret M, Cariou A. Prognostication after cardiac arrest: how EEG and evoked potentials may improve the challenge. Ann Intensive Care 2022; 12:111. [PMID: 36480063 PMCID: PMC9732180 DOI: 10.1186/s13613-022-01083-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
About 80% of patients resuscitated from CA are comatose at ICU admission and nearly 50% of survivors are still unawake at 72 h. Predicting neurological outcome of these patients is important to provide correct information to patient's relatives, avoid disproportionate care in patients with irreversible hypoxic-ischemic brain injury (HIBI) and inappropriate withdrawal of care in patients with a possible favorable neurological recovery. ERC/ESICM 2021 algorithm allows a classification as "poor outcome likely" in 32%, the outcome remaining "indeterminate" in 68%. The crucial question is to know how we could improve the assessment of both unfavorable but also favorable outcome prediction. Neurophysiological tests, i.e., electroencephalography (EEG) and evoked-potentials (EPs) are a non-invasive bedside investigations. The EEG is the record of brain electrical fields, characterized by a high temporal resolution but a low spatial resolution. EEG is largely available, and represented the most widely tool use in recent survey examining current neuro-prognostication practices. The severity of HIBI is correlated with the predominant frequency and background continuity of EEG leading to "highly malignant" patterns as suppression or burst suppression in the most severe HIBI. EPs differ from EEG signals as they are stimulus induced and represent the summated activities of large populations of neurons firing in synchrony, requiring the average of numerous stimulations. Different EPs (i.e., somato sensory EPs (SSEPs), brainstem auditory EPs (BAEPs), middle latency auditory EPs (MLAEPs) and long latency event-related potentials (ERPs) with mismatch negativity (MMN) and P300 responses) can be assessed in ICU, with different brain generators and prognostic values. In the present review, we summarize EEG and EPs signal generators, recording modalities, interpretation and prognostic values of these different neurophysiological tools. Finally, we assess the perspective for futures neurophysiological investigations, aiming to reduce prognostic uncertainty in comatose and disorders of consciousness (DoC) patients after CA.
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Affiliation(s)
- Sarah Benghanem
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Estelle Pruvost-Robieux
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Eléonore Bouchereau
- Department of Neurocritical Care, G.H.U Paris Psychiatry and Neurosciences, 1, Rue Cabanis, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Martine Gavaret
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Alain Cariou
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.462416.30000 0004 0495 1460Paris-Cardiovascular-Research-Center (Sudden-Death-Expertise-Center), INSERM U970, Paris, France
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Eliciting and Recording Event Related Potentials (ERPs) in Behaviourally Unresponsive Populations: A Retrospective Commentary on Critical Factors. Brain Sci 2021; 11:brainsci11070835. [PMID: 34202435 PMCID: PMC8301772 DOI: 10.3390/brainsci11070835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 06/19/2021] [Accepted: 06/19/2021] [Indexed: 12/05/2022] Open
Abstract
A consistent limitation when designing event-related potential paradigms and interpreting results is a lack of consideration of the multivariate factors that affect their elicitation and detection in behaviorally unresponsive individuals. This paper provides a retrospective commentary on three factors that influence the presence and morphology of long-latency event-related potentials—the P3b and N400. We analyze event-related potentials derived from electroencephalographic (EEG) data collected from small groups of healthy youth and healthy elderly to illustrate the effect of paradigm strength and subject age; we analyze ERPs collected from an individual with severe traumatic brain injury to illustrate the effect of stimulus presentation speed. Based on these critical factors, we support that: (1) the strongest paradigms should be used to elicit event-related potentials in unresponsive populations; (2) interpretation of event-related potential results should account for participant age; and (3) speed of stimulus presentation should be slower in unresponsive individuals. The application of these practices when eliciting and recording event-related potentials in unresponsive individuals will help to minimize result interpretation ambiguity, increase confidence in conclusions, and advance the understanding of the relationship between long-latency event-related potentials and states of consciousness.
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Single-subject analysis of N400 event-related potential component with five different methods. Int J Psychophysiol 2019; 144:14-24. [DOI: 10.1016/j.ijpsycho.2019.06.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/13/2019] [Accepted: 06/18/2019] [Indexed: 01/28/2023]
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Armanfard N, Komeili M, Reilly JP, Connolly JF. A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction. IEEE J Biomed Health Inform 2018; 23:1794-1804. [PMID: 30369457 DOI: 10.1109/jbhi.2018.2877738] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Mismatch negativity (MMN) is a component of the event-related potential (ERP) that is elicited through an odd-ball paradigm. The existence of the MMN in a coma patient has a good correlation with coma emergence; however, this component can be difficult to detect. Previously, MMN detection was based on visual inspection of the averaged ERPs by a skilled clinician, a process that is expensive and not always feasible in practice. In this paper, we propose a practical machine learning (ML) based approach for detection of MMN component, thus, improving the accuracy of prediction of emergence from coma. Furthermore, the method can operate on an automatic and continuous basis thus alleviating the need for clinician involvement. The proposed method is capable of the MMN detection over intervals as short as two minutes. This finer time resolution enables identification of waxing and waning cycles of a conscious state. An auditory odd-ball paradigm was applied to 22 healthy subjects and 2 coma patients. A coma patient is tested by measuring the similarity of the patient's ERP responses with the aggregate healthy responses. Because the training process for measuring similarity requires only healthy subjects, the complexity and practicality of training procedure of the proposed method are greatly improved relative to training on coma patients directly. Since there are only two coma patients involved with this study, the results are reported on a very preliminary basis. Preliminary results indicate we can detect the MMN component with an accuracy of 92.7% on healthy subjects. The method successfully predicted emergence in both coma patients when conventional methods failed. The proposed method for collecting training data using exclusively healthy subjects is a novel approach that may prove useful in future, unrelated studies where ML methods are used.
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Azabou E, Rohaut B, Porcher R, Heming N, Kandelman S, Allary J, Moneger G, Faugeras F, Sitt JD, Annane D, Lofaso F, Chrétien F, Mantz J, Naccache L, Sharshar T. Mismatch negativity to predict subsequent awakening in deeply sedated critically ill patients. Br J Anaesth 2018; 121:1290-1297. [PMID: 30442256 DOI: 10.1016/j.bja.2018.06.029] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 06/14/2018] [Accepted: 06/27/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Mismatch negativity (MMN) is the neurophysiological correlate of cognitive integration of novel stimuli. Although MMN is a well-established predictor of awakening in non-sedated comatose patients, its prognostic value in deeply sedated critically ill patients remains unknown. The aim of this prospective, observational pilot study was to investigate the prognostic value of MMN for subsequent awakening in deeply sedated critically ill patients. METHODS MMN was recorded in 43 deeply sedated critically ill patients on Day 3 of ICU admission using a classical 'odd-ball' paradigm that delivers rare deviant sounds in a train of frequent standard sounds. Individual visual analyses and a group level analysis of recordings were performed. MMN amplitudes were then analysed according to the neurological status (awake vs not awake) at Day 28. RESULTS Median (inter-quartile range) Richmond Assessment Sedation Scale (RASS) at the time of recording was -5 (range, from -5 to -4.5). Visual detection of MMN revealed a poor inter-rater agreement [kappa=0.17, 95% confidence interval (0.07-0.26)]. On Day 28, 30 (70%) patients had regained consciousness while 13 (30%) had not. Quantitative group level analysis revealed a significantly greater MMN amplitude for patients who awakened compared with those who had not [mean (standard deviation) = -0.65 (1.4) vs 0.08 (0.17) μV, respectively; P=0.003). CONCLUSIONS MMN can be observed in deeply sedated critically ill patients and could help predict subsequent awakening. However, visual analysis alone is unreliable and should be systematically completed with individual level statistics.
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Affiliation(s)
- E Azabou
- Department of Physiology, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U 1179, University of Versailles Saint-Quentin en Yvelines, Garches, Paris, France; General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U1173, University of Versailles Saint-Quentin en Yvelines, Garches, France
| | - B Rohaut
- Department of Neurology, Neuro-ICU, Columbia University, New York, NY, USA
| | - R Porcher
- Center for Clinical Epidemiology, Assistance Publique-Hôpitaux de Paris, Hotel Dieu Hospital, University Paris Descartes, INSERM U1153, Paris, France
| | - N Heming
- General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U1173, University of Versailles Saint-Quentin en Yvelines, Garches, France
| | - S Kandelman
- Department of Anesthesiology and Intensive Care Medicine, Beaujon Hospital, University of Denis Diderot, Clichy, France
| | - J Allary
- Department of Anesthesiology and Intensive Care Medicine, Beaujon Hospital, University of Denis Diderot, Clichy, France
| | - G Moneger
- General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U1173, University of Versailles Saint-Quentin en Yvelines, Garches, France
| | - F Faugeras
- Institut du Cerveau et de la Moelle épinière, Paris, France
| | - J D Sitt
- Institut du Cerveau et de la Moelle épinière, Paris, France
| | - D Annane
- General Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U1173, University of Versailles Saint-Quentin en Yvelines, Garches, France
| | - F Lofaso
- Department of Physiology, Assistance Publique-Hôpitaux de Paris, Raymond-Poincaré Hospital, INSERM U 1179, University of Versailles Saint-Quentin en Yvelines, Garches, Paris, France
| | - F Chrétien
- Laboratory of Experimental Neuropathology, Institut Pasteur, Paris, France
| | - J Mantz
- Laboratory of Experimental Neuropathology, Institut Pasteur, Paris, France; Department of Anesthesiology and Intensive Care Medicine, European Hospital Georges Pompidou, Paris Descartes University, Paris, France
| | - L Naccache
- Institut du Cerveau et de la Moelle épinière, Paris, France
| | - T Sharshar
- Laboratory of Experimental Neuropathology, Institut Pasteur, Paris, France; Department of Neuro-Intensive Care Medicine, Sainte-Anne Hospital, Paris-Descartes University, Paris, France; Laboratoire de Neuropathologie Expérimentale, Institut Pasteur, Paris, France.
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A framework for the extended monitoring of levels of cognitive function in unresponsive patients. PLoS One 2018; 13:e0200793. [PMID: 30024945 PMCID: PMC6053194 DOI: 10.1371/journal.pone.0200793] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 07/03/2018] [Indexed: 11/19/2022] Open
Abstract
Generally, prognostication of coma outcome currently combines behavioral, reflex, and possibly neuroimaging tests that are interpreted by an attending physician. Electroencephalography, particularly, event-related brain potentials (ERP) have received attention due to evidence demonstrating the positive predictive value of certain ERP including the mismatch negativity (MMN) and the P3a, for coma emergence. We describe a set of ERP paradigms designed to require and reflect increasing levels of cognitive processing with the added objective of determining the influence of each paradigm's context strength on its ability to elicit ERPs. These paradigms were then used without explicit instructions to participants to attend to the stimuli to determine which paradigms possessed sufficient context "strength" to elicit ERPs in the absence of active participation on the part of the subject; a circumstance often encountered in brain injury patients. These paradigms were then validated on two groups of adults-younger and older, and the difference due to active participation was validated on another group of younger adults. Results show that paradigms with stronger stimulus context features performed better than those with weaker contexts, and that older adults generally had significantly attenuated and delayed responses compared to younger adults. Based on these findings, it is recommended the use of the auditory oddball paradigm that includes novel stimuli to elicit the mismatch negativity and P300, and semantic violation sentences to elicit the N400. These findings also reinforce the procedure of instructing participants about the requirements of a protocol-regardless of the patient's diagnosis or apparent state-in order to help those who are able to attend to show the most robust responses possible.
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Naccache L. Minimally conscious state or cortically mediated state? Brain 2018; 141:949-960. [PMID: 29206895 PMCID: PMC5888986 DOI: 10.1093/brain/awx324] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 09/07/2017] [Accepted: 09/27/2017] [Indexed: 01/04/2023] Open
Abstract
Durable impairments of consciousness are currently classified in three main neurological categories: comatose state, vegetative state (also recently coined unresponsive wakefulness syndrome) and minimally conscious state. While the introduction of minimally conscious state, in 2002, was a major progress to help clinicians recognize complex non-reflexive behaviours in the absence of functional communication, it raises several problems. The most important issue related to minimally conscious state lies in its criteria: while behavioural definition of minimally conscious state lacks any direct evidence of patient's conscious content or conscious state, it includes the adjective 'conscious'. I discuss this major problem in this review and propose a novel interpretation of minimally conscious state: its criteria do not inform us about the potential residual consciousness of patients, but they do inform us with certainty about the presence of a cortically mediated state. Based on this constructive criticism review, I suggest three proposals aiming at improving the way we describe the subjective and cognitive state of non-communicating patients. In particular, I present a tentative new classification of impairments of consciousness that combines behavioural evidence with functional brain imaging data, in order to probe directly and univocally residual conscious processes.
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Affiliation(s)
- Lionel Naccache
- AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurology, 75013, Paris, France
- AP-HP, Groupe hospitalier Pitié-Salpêtrière, Department of Neurophysiology, 75013, Paris, France
- INSERM, U 1127, F-75013, Paris, France
- Institut du Cerveau et de la Moelle épinière, ICM, PICNIC Lab, F-75013, Paris, France
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Rohaut B, Naccache L. Disentangling conscious from unconscious cognitive processing with event-related EEG potentials. Rev Neurol (Paris) 2017; 173:521-528. [DOI: 10.1016/j.neurol.2017.08.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Revised: 08/06/2017] [Accepted: 08/07/2017] [Indexed: 01/23/2023]
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