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Shao H, Deng W, Du R, Zhao Y, Jin D, Wei Y. Mismatch Negativity and P300 in the Diagnosis and Prognostic Assessment of Coma and Other Disorders of Consciousness. Neurocrit Care 2024:10.1007/s12028-024-02058-3. [PMID: 39043983 DOI: 10.1007/s12028-024-02058-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 06/25/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND The objective of this study was to investigate the value of mismatch negativity (MMN) and P300 event-related potentials for discriminating the consciousness state and predicting improvement of consciousness at 6 months in patients with coma and other disorders of consciousness (DOC). METHODS We performed MMN and P300 on 42 patients with DOC with a mean onset time of 40.21 ± 19.43 days. These patients with DOC were categorized into coma, unresponsive wakefulness syndrome (UWS), minimal consciousness minus (MCS-), and minimal consciousness plus (MCS +) groups according to neurobehavioral assessment and the Coma Recovery Scale-Revised score. The primary outcome was the improvement of consciousness at 6 months in patients with DOC. We assessed the efficacy of MMN and P300 in quantitatively predicting the prognosis at 6 months and the capability of MMN and P300 parameters to differentiate between DOC. RESULTS At least one significant difference in either MMN or P300 parameters was displayed among the DOC groups, but not between the MCS- and MCS+ groups (significance level: 0.05). Both MMN and P300 amplitudes showed desirable predictive accuracy at 6 months, with areas under the curve (AUCs) of 0.859 and 0.856, respectively. The optimal thresholds for MMN and P300 amplitudes were 2.044 and 1.095 μV. However, the combined MMN-P300 amplitude showed better 6-month predictive accuracy (AUC 0.934, 95% confidence interval 0.860-1.000), with a sensitivity of 85% and a specificity of 90.9%. CONCLUSIONS MMN and P300 may help discriminate among coma, UWS, and MCS, but not between patients with MCS- and patients with MCS+ . The MMN amplitude, P300 amplitude, and especially combined MMN-P300 amplitude at 6 months may be interesting predictors of consciousness improvement at 6 months in patients with DOC. TRIAL REGISTRATION Chinese Clinical Trial Registry identifier ChiCTR2400083798.
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Affiliation(s)
- Huijie Shao
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China.
| | - Wenjing Deng
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Ran Du
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yanan Zhao
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Di Jin
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Yamin Wei
- Department of Neurology Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe Road, Zhengzhou, 450052, Henan, China
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Ghosh P, Talwar S, Banerjee A. Unsupervised Characterization of Prediction Error Markers in Unisensory and Multisensory Streams Reveal the Spatiotemporal Hierarchy of Cortical Information Processing. eNeuro 2024; 11:ENEURO.0251-23.2024. [PMID: 38702194 PMCID: PMC11069433 DOI: 10.1523/eneuro.0251-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 05/06/2024] Open
Abstract
Elicited upon violation of regularity in stimulus presentation, mismatch negativity (MMN) reflects the brain's ability to perform automatic comparisons between consecutive stimuli and provides an electrophysiological index of sensory error detection whereas P300 is associated with cognitive processes such as updating of the working memory. To date, there has been extensive research on the roles of MMN and P300 individually, because of their potential to be used as clinical markers of consciousness and attention, respectively. Here, we intend to explore with an unsupervised and rigorous source estimation approach, the underlying cortical generators of MMN and P300, in the context of prediction error propagation along the hierarchies of brain information processing in healthy human participants. The existing methods of characterizing the two ERPs involve only approximate estimations of their amplitudes and latencies based on specific sensors of interest. Our objective is twofold: first, we introduce a novel data-driven unsupervised approach to compute latencies and amplitude of ERP components accurately on an individual-subject basis and reconfirm earlier findings. Second, we demonstrate that in multisensory environments, MMN generators seem to reflect a significant overlap of "modality-specific" and "modality-independent" information processing while P300 generators mark a shift toward completely "modality-independent" processing. Advancing earlier understanding that multisensory contexts speed up early sensory processing, our study reveals that temporal facilitation extends to even the later components of prediction error processing, using EEG experiments. Such knowledge can be of value to clinical research for characterizing the key developmental stages of lifespan aging, schizophrenia, and depression.
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Affiliation(s)
- Priyanka Ghosh
- Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
| | - Siddharth Talwar
- Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
| | - Arpan Banerjee
- Cognitive Brain Dynamics Lab, National Brain Research Centre, Gurgaon 122052, India
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Rutiku R, Fiscone C, Massimini M, Sarasso S. Assessing mismatch negativity (MMN) and P3b within-individual sensitivity - A comparison between the local-global paradigm and two specialized oddball sequences. Eur J Neurosci 2024; 59:842-859. [PMID: 38439197 DOI: 10.1111/ejn.16302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024]
Abstract
Mismatch negativity (MMN) and P3b are well known for their clinical utility. There exists no gold standard, however, for acquiring them as EEG markers of consciousness in clinical settings. This may explain why the within-individual sensitivity of MMN/P3b paradigms is often quite poor and why seemingly identical EEG markers can behave differently across Disorders of consciousness (DoC) studies. Here, we compare two traditional paradigms for MMN or P3b assessment with the recently more popular local-global paradigm that promises to assess MMN and P3b orthogonally within one oddball sequence. All three paradigms were administered to healthy participants (N = 15) with concurrent EEG. A clear MMN and local effect were found for 15/15 participants. The P3b and global effect were found for 14/15 and 13/15 participants, respectively. There were no systematic differences between the global effect and P3b. Indeed, P3b amplitude was highly correlated across paradigms. The local effect differed clearly from the MMN, however. It occurred earlier than MMN and was followed by a much more prominent P3a. The peak latencies and amplitudes were also not correlated across paradigms. Caution should therefore be exercised when comparing the local effect and MMN across studies. We conclude that the within-individual MMN sensitivity is adequate for both the local-global and a dedicated MMN paradigm. The within-individual sensitivity of P3b was lower than expected for both the local-global and a dedicated P3b paradigm, which may explain the often-low sensitivity of P3b paradigms in patients with DoC.
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Affiliation(s)
- Renate Rutiku
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- C-lab, Institute of Psychology, Jagiellonian University, Krakow, Poland
| | - Chiara Fiscone
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Marcello Massimini
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Milan, Italy
| | - Simone Sarasso
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
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Portell Penadés E, Alvarez V. A Comprehensive Review and Practical Guide of the Applications of Evoked Potentials in Neuroprognostication After Cardiac Arrest. Cureus 2024; 16:e57014. [PMID: 38681279 PMCID: PMC11046378 DOI: 10.7759/cureus.57014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2024] [Indexed: 05/01/2024] Open
Abstract
Cardiorespiratory arrest is a very common cause of morbidity and mortality nowadays, and many therapeutic strategies, such as induced coma or targeted temperature management, are used to reduce patient sequelae. However, these procedures can alter a patient's neurological status, making it difficult to obtain useful clinical information for the reliable estimation of neurological prognosis. Therefore, complementary investigations are conducted in the early stages after a cardiac arrest to clarify functional prognosis in comatose cardiac arrest survivors in the first few hours or days. Current practice relies on a multimodal approach, which shows its greatest potential in predicting poor functional prognosis, whereas the data and tools to identify patients with good functional prognosis remain relatively limited in comparison. Therefore, there is considerable interest in investigating alternative biological parameters and advanced imaging technique studies. Among these, somatosensory evoked potentials (SSEPs) remain one of the simplest and most reliable tools. In this article, we discuss the technical principles, advantages, limitations, and prognostic implications of SSEPs in detail. We will also review other types of evoked potentials that can provide useful information but are less commonly used in clinical practice (e.g., visual evoked potentials; short-, medium-, and long-latency auditory evoked potentials; and event-related evoked potentials, such as mismatch negativity or P300).
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Young MJ, Fecchio M, Bodien YG, Edlow BL. Covert cortical processing: a diagnosis in search of a definition. Neurosci Conscious 2024; 2024:niad026. [PMID: 38327828 PMCID: PMC10849751 DOI: 10.1093/nc/niad026] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/22/2023] [Accepted: 12/10/2023] [Indexed: 02/09/2024] Open
Abstract
Historically, clinical evaluation of unresponsive patients following brain injury has relied principally on serial behavioral examination to search for emerging signs of consciousness and track recovery. Advances in neuroimaging and electrophysiologic techniques now enable clinicians to peer into residual brain functions even in the absence of overt behavioral signs. These advances have expanded clinicians' ability to sub-stratify behaviorally unresponsive and seemingly unaware patients following brain injury by querying and classifying covert brain activity made evident through active or passive neuroimaging or electrophysiologic techniques, including functional MRI, electroencephalography (EEG), transcranial magnetic stimulation-EEG, and positron emission tomography. Clinical research has thus reciprocally influenced clinical practice, giving rise to new diagnostic categories including cognitive-motor dissociation (i.e. 'covert consciousness') and covert cortical processing (CCP). While covert consciousness has received extensive attention and study, CCP is relatively less understood. We describe that CCP is an emerging and clinically relevant state of consciousness marked by the presence of intact association cortex responses to environmental stimuli in the absence of behavioral evidence of stimulus processing. CCP is not a monotonic state but rather encapsulates a spectrum of possible association cortex responses from rudimentary to complex and to a range of possible stimuli. In constructing a roadmap for this evolving field, we emphasize that efforts to inform clinicians, philosophers, and researchers of this condition are crucial. Along with strategies to sensitize diagnostic criteria and disorders of consciousness nosology to these vital discoveries, democratizing access to the resources necessary for clinical identification of CCP is an emerging clinical and ethical imperative.
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Affiliation(s)
- Michael J Young
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 101 Merrimac Street, Suite 310, Boston, MA 02114, USA
| | - Matteo Fecchio
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 101 Merrimac Street, Suite 310, Boston, MA 02114, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 101 Merrimac Street, Suite 310, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, 300 1st Ave, Charlestown, Boston, MA 02129, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 101 Merrimac Street, Suite 310, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Charlestown, Charlestown, MA 02129, USA
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Portnova GV, Podlepich VV, Skorokhodov IV. Patients With Better Outcome Have Higher ERP Response to Emotional Auditory Stimuli. J Clin Neurophysiol 2023; 40:634-640. [PMID: 37931164 DOI: 10.1097/wnp.0000000000000938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Accuracy of outcome prognosis is one of the most important tasks of coma arousal therapy. Reactions toward sensory stimuli are the most significant predictor of conscience and cognitive functions restoration after a brain injury. A paradigm that includes ERP registration has the advantage of detailed stimuli processing visualization. The authors aimed to investigate perception and distinguishing of emotionally significant sounds (crying and laughter) in coma patients with different consciousness restoration prognosis. METHODS EEG was recorded in 24 comatose patients with different outcomes (scored with Glasgow Outcome Scale-Extended) and 32 healthy volunteers. The authors presented sounds of crying and laughter. ERPs for sound stimulation were calculated. RESULTS An analysis of the correlation of ERP components and Glasgow Outcome Scale-Extended score was performed. P200 (r = 0.6, P = 0.0014) and N200 amplitudes (r = -0.56, P = 0.0037) for emotional sounds correlated with the Glasgow Outcome Scale-Extended score. The significant differences of P300 and N400 amplitudes corresponded to differences of response between sounds of crying and laughter in subjects of the control group. Unlike the control group, comatose participants with good outcome produced similar electrical activity toward pleasant and unpleasant emotional stimuli. CONCLUSIONS Comatose patients with good outcome produced more prominent ERP for emotional sounds. Even the good outcome participants were unable to distinguish emotional sounds of different moods, which indicate the preservation of solely robust mechanisms of sound processing. N200 and P200 amplitudes for emotional stimuli correlated significantly with outcome prognosis in coma patients.
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Affiliation(s)
- Galina V Portnova
- Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia
| | - Vitaliy V Podlepich
- Federal State Autonomous Institution N. N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Ivan V Skorokhodov
- Rehabilitation Center for Children with Autistic Spectrum Disorders "OUR SUNNY WORLD" (Non-Government, Non-Profit Organization), Moscow, Russia; and
- Pushkin State Russian Language Institute, Moscow, Russia
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Yang Y, He Q, Dang Y, Xia X, Xu X, Chen X, Zhao J, He J. Long-term functional outcomes improved with deep brain stimulation in patients with disorders of consciousness. Stroke Vasc Neurol 2023; 8:368-378. [PMID: 36882201 PMCID: PMC10647871 DOI: 10.1136/svn-2022-001998] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/26/2023] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) has been preliminarily applied to treat patients with disorders of consciousness (DoCs). The study aimed to determine whether DBS was effective for treating patients with DoC and identify factors related to patients' outcomes. METHODS Data from 365 patients with DoCs who were consecutively admitted from 15 July 2011 to 31 December 2021 were retrospectively analysed. Multivariate regression and subgroup analysis were performed to adjust for potential confounders. The primary outcome was improvement in consciousness at 1 year. RESULTS An overall improvement in consciousness at 1 year was achieved in 32.4% (12/37) of the DBS group compared with 4.3% (14/328) of the conservative group. After full adjustment, DBS significantly improved consciousness at 1 year (adjusted OR 11.90, 95% CI 3.65-38.46, p<0.001). There was a significant treatment×follow up interaction (H=14.99, p<0.001). DBS had significantly better effects in patients with minimally conscious state (MCS) compared with patients with vegetative state/unresponsive wakefulness syndrome (p for interaction <0.001). A nomogram based on age, state of consciousness, pathogeny and duration of DoCs indicated excellent predictive performance (c-index=0.882). CONCLUSIONS DBS was associated with better outcomes in patients with DoC, and the effect was likely to be significantly greater in patients with MCS. DBS should be cautiously evaluated by nomogram preoperatively, and randomised controlled trials are still needed.
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Affiliation(s)
- Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Translational Medicine Center, Chinese Institute for Brain Research, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuanyuan Dang
- Department of Neurosurgery, PLA General Hospital, Beijing, China
| | - Xiaoyu Xia
- Department of Neurosurgery, PLA General Hospital, Beijing, China
| | - Xin Xu
- Department of Neurosurgery, PLA General Hospital, Beijing, China
| | - Xueling Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Academician Office, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jianghong He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Pandiyan P, Cvetkovic M, Antonini MV, Shappley RKH, Karmakar SA, Raman L. Clinical Guidelines for Routine Neuromonitoring in Neonatal and Pediatric Patients Supported on Extracorporeal Membrane Oxygenation. ASAIO J 2023; 69:895-900. [PMID: 37603797 DOI: 10.1097/mat.0000000000001896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023] Open
Abstract
DISCLAIMER These guidelines for routine neuromonitoring in neonatal and pediatric patients supported on extracorporeal membrane oxygenation (ECMO) are intended for educational use to build the knowledge of physicians and other health professionals in assessing the conditions and managing the treatment of patients undergoing extracorporeal life support (ECLS)/ECMO and describe what are believed to be useful and safe practice for ECLS and ECMO but these are not necessarily consensus recommendations. The aim of clinical guidelines was to help clinicians to make informed decisions about their patients. However, adherence to a guideline does not guarantee a successful outcome. Healthcare professionals must make their own treatment decisions about care on a case-by-case basis, after consultation with their patients, using their clinical judgment, knowledge, and expertise. These guidelines do not take the place of physicians' and other health professionals' judgment in diagnosing and treatment of patients. These guidelines are not intended to and should not be interpreted as setting a standard of care or being deemed inclusive of all proper methods of care nor exclusive of other methods of care directed at obtaining the same results. The ultimate judgment must be made by the physician and other health professionals and the patient considering all the circumstances presented by the individual patient, and the known variability and biologic behavior of the clinical condition. These guidelines reflect the data at the time the guidelines were prepared; the results of subsequent studies or other information may cause revisions to the recommendations in these guidelines to be prudent to reflect new data, but ELSO is under no obligation to provide updates. In no event will ELSO be liable for any decision made or action taken in reliance upon the information provided through these guidelines.
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Affiliation(s)
- Poornima Pandiyan
- From the Department of Pediatrics, Division of Medical Critical Care, Boston Children's Hospital, Tufts University School of Medicine, Boston, Massachusetts
| | - Mirjana Cvetkovic
- Cardiac Critical Care Division, Heart and Lung Directorate, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Marta Velia Antonini
- Anesthesia and Intensive Care Unit, Bufalini Hospital - AUSL della Romagna, Cesena, Italy
- Department of Biomedical, Metabolic and Neural Science, University of Modena and Reggio Emilia, Modena, Italy
| | - Rebekah K H Shappley
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Swati A Karmakar
- Department of Pediatrics, Baylor College of Medicine, Neurology and Developmental Neuroscience Section, Texas Children's Hospital, Houston, Texas
| | - Lakshmi Raman
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas
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Lévi-Strauss J, Hmeydia G, Benzakoun J, Bouchereau E, Hermann B, Legouy C, Oppenheim C, Sharshar T, Gavaret M, Pruvost-Robieux E. Discrepancies in the late auditory potentials of post-anoxic patients: watch out for focal brain lesions, a pilot retrospective study. Resuscitation 2023; 187:109801. [PMID: 37085038 DOI: 10.1016/j.resuscitation.2023.109801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/22/2023] [Accepted: 04/11/2023] [Indexed: 04/23/2023]
Abstract
AIMS Late auditory evoked potentials, and notably mismatch negativity (MMN) and P3 responses, can be used as part of the multimodal prognostic evaluation in post-anoxic disorders of consciousness (DOC). MMN response preferentially stems from the temporal cortex and the arcuate fasciculus. Situations with discrepant evaluations, for example MMN absent but P3 present, are frequent and difficult to interpret. We hypothesize that discrepant MMN-/P3+ results could reflect a higher prevalence of lesions in MMN generating regions. This study presents correlations between neurophysiological and neuroradiological results. METHODS This retrospective study was conducted on 38 post-anoxic DOC patients. Brain lesions were analyzed on 3T MRI both anatomically and through computation of the local arcuate fasciculus fractional anisotropy values on Diffusion Tensor Imaging sequences. Neurophysiological data and outcome were also analyzed. RESULTS Our cohort included 8 MMN-/P3+, 7 MMN+/P3+, 21 MMN-/P3- and 2 MMN-/P3+ patients, assessed at a median delay of 20.5 days since cardiac arrest. Our results show that MMN-/P3+ patients tended to have fewer temporal and basal ganglia lesions than MMN-/P3- patients, and more than MMN+/P3+ patients (p-values for trend: p=0.02 for temporal and p=0.02 for basal ganglia lesions). There was a statistical difference across groups for mean fractional anisotropy values in the arcuate fasciculus (p=0.008). The percentage of patients regaining consciousness at three months in MMN-/P3+ patients was higher than in MMN-/P3- patients and lower than in MMN+/P3+ patients. CONCLUSION This study suggests that discrepancies in late auditory evoked potentials may be linked to focal post-anoxic brain lesions, visible on brain MRI.
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Affiliation(s)
- Julie Lévi-Strauss
- University Paris Cité, Paris, France Neurophysiology department, GHU Psychiatry & Neurosciences,Sainte Anne, F-75014 Paris INSERM U 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris.
| | - Ghazi Hmeydia
- University Paris Cité, Paris, France, Neuroradiology department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Joseph Benzakoun
- University Paris Cité, Paris, France, Neuroradiology department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Eléonore Bouchereau
- University Paris Cité, Paris, France Neuro-intensive care department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Bertrand Hermann
- University Paris Cité, Paris, France Neuro-intensive care department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris; University Paris Cité, Paris, France Medical intensive care unit, HEGP Hospital, Assistance Publique - Hôpitaux de Paris-Centre (APHP-Centre), Paris, France; Institut du Cerveau et de la Moelle épinière - ICM, INSERM U1127, CNRS UMR 7225, F-75013, Paris, France
| | - Camille Legouy
- University Paris Cité, Paris, France Neuro-intensive care department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Catherine Oppenheim
- University Paris Cité, Paris, France, Neuroradiology department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Tarek Sharshar
- University Paris Cité, Paris, France Neuro-intensive care department, GHU Psychiatry & Neurosciences, Sainte Anne, F-75014 Paris INSERM UMR 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Martine Gavaret
- University Paris Cité, Paris, France Neurophysiology department, GHU Psychiatry & Neurosciences,Sainte Anne, F-75014 Paris INSERM U 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
| | - Estelle Pruvost-Robieux
- University Paris Cité, Paris, France Neurophysiology department, GHU Psychiatry & Neurosciences,Sainte Anne, F-75014 Paris INSERM U 1266, FHU NeuroVasc, Institut de Psychiatrie et Neurosciences de Paris-IPNP, F-75014 Paris
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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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11
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Zhou L, Chen Y, Liu Z, You J, Chen S, Liu G, Yu Y, Wang J, Chen X. A predictive model for consciousness recovery of comatose patients after acute brain injury. Front Neurosci 2023; 17:1088666. [PMID: 36845443 PMCID: PMC9945265 DOI: 10.3389/fnins.2023.1088666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/23/2023] [Indexed: 02/10/2023] Open
Abstract
Background Predicting the consciousness recovery for comatose patients with acute brain injury is an important issue. Although some efforts have been made in the study of prognostic assessment methods, it is still unclear which factors can be used to establish model to directly predict the probability of consciousness recovery. Objectives We aimed to establish a model using clinical and neuroelectrophysiological indicators to predict consciousness recovery of comatose patients after acute brain injury. Methods The clinical data of patients with acute brain injury admitted to the neurosurgical intensive care unit of Xiangya Hospital of Central South University from May 2019 to May 2022, who underwent electroencephalogram (EEG) and auditory mismatch negativity (MMN) examinations within 28 days after coma onset, were collected. The prognosis was assessed by Glasgow Outcome Scale (GOS) at 3 months after coma onset. The least absolute shrinkage and selection operator (LASSO) regression analysis was applied to select the most relevant predictors. We combined Glasgow coma scale (GCS), EEG, and absolute amplitude of MMN at Fz to develop a predictive model using binary logistic regression and then presented by a nomogram. The predictive efficiency of the model was evaluated with AUC and verified by calibration curve. The decision curve analysis (DCA) was used to evaluate the clinical utility of the prediction model. Results A total of 116 patients were enrolled for analysis, of which 60 had favorable prognosis (GOS ≥ 3). Five predictors, including GCS (OR = 13.400, P < 0.001), absolute amplitude of MMN at Fz site (FzMMNA, OR = 1.855, P = 0.038), EEG background activity (OR = 4.309, P = 0.023), EEG reactivity (OR = 4.154, P = 0.030), and sleep spindles (OR = 4.316, P = 0.031), were selected in the model by LASSO and binary logistic regression analysis. This model showed favorable predictive power, with an AUC of 0.939 (95% CI: 0.899-0.979), and calibration. The threshold probability of net benefit was between 5% and 92% in the DCA. Conclusion This predictive model for consciousness recovery in patients with acute brain injury is based on a nomogram incorporating GCS, EEG background activity, EEG reactivity, sleep spindles, and FzMMNA, which can be conveniently obtained during hospitalization. It provides a basis for care givers to make subsequent medical decisions.
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Affiliation(s)
- Liang Zhou
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Yuanyi Chen
- Central of Stomatology, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Ziyuan Liu
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Jia You
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Siming Chen
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Ganzhi Liu
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China
| | - Yang Yu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China
| | - Jian Wang
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China,*Correspondence: Jian Wang,
| | - Xin Chen
- Department of Neurosurgery, Xiangya Hospital of Central South University, Changsha, Hunan, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China,Xin Chen,
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12
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Aellen FM, Alnes SL, Loosli F, Rossetti AO, Zubler F, De Lucia M, Tzovara A. Auditory stimulation and deep learning predict awakening from coma after cardiac arrest. Brain 2023; 146:778-788. [PMID: 36637902 PMCID: PMC9924902 DOI: 10.1093/brain/awac340] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 06/28/2022] [Accepted: 09/02/2022] [Indexed: 01/14/2023] Open
Abstract
Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. Prognostication of coma outcome relies mainly on visual expert scoring of physiological signals, which is prone to subjectivity and leaves a considerable number of patients in a 'grey zone', with uncertain prognosis. Quantitative analysis of EEG responses to auditory stimuli can provide a window into neural functions in coma and information about patients' chances of awakening. However, responses to standardized auditory stimulation are far from being used in a clinical routine due to heterogeneous and cumbersome protocols. Here, we hypothesize that convolutional neural networks can assist in extracting interpretable patterns of EEG responses to auditory stimuli during the first day of coma that are predictive of patients' chances of awakening and survival at 3 months. We used convolutional neural networks (CNNs) to model single-trial EEG responses to auditory stimuli in the first day of coma, under standardized sedation and targeted temperature management, in a multicentre and multiprotocol patient cohort and predict outcome at 3 months. The use of CNNs resulted in a positive predictive power for predicting awakening of 0.83 ± 0.04 and 0.81 ± 0.06 and an area under the curve in predicting outcome of 0.69 ± 0.05 and 0.70 ± 0.05, for patients undergoing therapeutic hypothermia and normothermia, respectively. These results also persisted in a subset of patients that were in a clinical 'grey zone'. The network's confidence in predicting outcome was based on interpretable features: it strongly correlated to the neural synchrony and complexity of EEG responses and was modulated by independent clinical evaluations, such as the EEG reactivity, background burst-suppression or motor responses. Our results highlight the strong potential of interpretable deep learning algorithms in combination with auditory stimulation to improve prognostication of coma outcome.
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Affiliation(s)
- Florence M Aellen
- Correspondence to: Florence Aellen University of Bern; Institute for Computer Science Neubrückstrasse 10; CH-3012 Bern E-mail:
| | - Sigurd L Alnes
- Institute of Computer Science, University of Bern, Bern, Switzerland,Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Fabian Loosli
- Institute of Computer Science, University of Bern, Bern, Switzerland
| | - Andrea O Rossetti
- Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Frédéric Zubler
- Sleep-Wake-Epilepsy-Center, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Marzia De Lucia
- Laboratory for Research in Neuroimaging (LREN), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Athina Tzovara
- Correspondence may also be addressed to: Athina Tzovara E-mail:
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13
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Floyrac A, Doumergue A, Legriel S, Deye N, Megarbane B, Richard A, Meppiel E, Masmoudi S, Lozeron P, Vicaut E, Kubis N, Holcman D. Predicting neurological outcome after cardiac arrest by combining computational parameters extracted from standard and deviant responses from auditory evoked potentials. Front Neurosci 2023; 17:988394. [PMID: 36875664 PMCID: PMC9975713 DOI: 10.3389/fnins.2023.988394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 01/27/2023] [Indexed: 02/17/2023] Open
Abstract
Background Despite multimodal assessment (clinical examination, biology, brain MRI, electroencephalography, somatosensory evoked potentials, mismatch negativity at auditory evoked potentials), coma prognostic evaluation remains challenging. Methods We present here a method to predict the return to consciousness and good neurological outcome based on classification of auditory evoked potentials obtained during an oddball paradigm. Data from event-related potentials (ERPs) were recorded noninvasively using four surface electroencephalography (EEG) electrodes in a cohort of 29 post-cardiac arrest comatose patients (between day 3 and day 6 following admission). We extracted retrospectively several EEG features (standard deviation and similarity for standard auditory stimulations and number of extrema and oscillations for deviant auditory stimulations) from the time responses in a window of few hundreds of milliseconds. The responses to the standard and the deviant auditory stimulations were thus considered independently. By combining these features, based on machine learning, we built a two-dimensional map to evaluate possible group clustering. Results Analysis in two-dimensions of the present data revealed two separated clusters of patients with good versus bad neurological outcome. When favoring the highest specificity of our mathematical algorithms (0.91), we found a sensitivity of 0.83 and an accuracy of 0.90, maintained when calculation was performed using data from only one central electrode. Using Gaussian, K-neighborhood and SVM classifiers, we could predict the neurological outcome of post-anoxic comatose patients, the validity of the method being tested by a cross-validation procedure. Moreover, the same results were obtained with one single electrode (Cz). Conclusion statistics of standard and deviant responses considered separately provide complementary and confirmatory predictions of the outcome of anoxic comatose patients, better assessed when combining these features on a two-dimensional statistical map. The benefit of this method compared to classical EEG and ERP predictors should be tested in a large prospective cohort. If validated, this method could provide an alternative tool to intensivists, to better evaluate neurological outcome and improve patient management, without neurophysiologist assistance.
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Affiliation(s)
- Aymeric Floyrac
- Applied Mathematics and Computational Biology, Ecole Normale Supérieure-PSL, Paris, France
| | - Adrien Doumergue
- Applied Mathematics and Computational Biology, Ecole Normale Supérieure-PSL, Paris, France
| | - Stéphane Legriel
- Medical-Surgical Intensive Care Department, Centre Hospitalier de Versailles, Le Chesnay, France.,CESP, PsyDev Team, INSERM, UVSQ, University of Paris-Saclay, Villejuif, France
| | - Nicolas Deye
- Department of Medical and Toxicological Critical Care, APHP, Lariboisière Hospital, Paris, France.,INSERM U942, Paris, France
| | - Bruno Megarbane
- Department of Medical and Toxicological Critical Care, APHP, Lariboisière Hospital, Paris, France.,INSERM UMRS 1144, Université Paris Cité, Paris, France
| | - Alexandra Richard
- Service de Physiologie Clinique-Explorations Fonctionnelles, APHP, Hôpital Lariboisière, Paris, France
| | - Elodie Meppiel
- Service de Physiologie Clinique-Explorations Fonctionnelles, APHP, Hôpital Lariboisière, Paris, France
| | - Sana Masmoudi
- Service de Physiologie Clinique-Explorations Fonctionnelles, APHP, Hôpital Lariboisière, Paris, France
| | - Pierre Lozeron
- Service de Physiologie Clinique-Explorations Fonctionnelles, APHP, Hôpital Lariboisière, Paris, France.,LVTS UMRS 1148, Hemostasis, Thrombo-Inflammation and Neuro-Vascular Repair, CHU Xavier Bichat Secteur Claude Bernard, Université Paris Cité, Paris, France
| | - Eric Vicaut
- Unité de Recherche Clinique Saint-Louis- Lariboisière, APHP, Hôpital Saint Louis, Paris, France
| | - Nathalie Kubis
- Service de Physiologie Clinique-Explorations Fonctionnelles, APHP, Hôpital Lariboisière, Paris, France.,LVTS UMRS 1148, Hemostasis, Thrombo-Inflammation and Neuro-Vascular Repair, CHU Xavier Bichat Secteur Claude Bernard, Université Paris Cité, Paris, France
| | - David Holcman
- Applied Mathematics and Computational Biology, Ecole Normale Supérieure-PSL, Paris, France
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14
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Zheng RZ, Qi ZX, Wang Z, Xu ZY, Wu XH, Mao Y. Clinical Decision on Disorders of Consciousness After Acquired Brain Injury: Stepping Forward. Neurosci Bull 2023; 39:138-162. [PMID: 35804219 PMCID: PMC9849546 DOI: 10.1007/s12264-022-00909-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/10/2022] [Indexed: 01/22/2023] Open
Abstract
Major advances have been made over the past few decades in identifying and managing disorders of consciousness (DOC) in patients with acquired brain injury (ABI), bringing the transformation from a conceptualized definition to a complex clinical scenario worthy of scientific exploration. Given the continuously-evolving framework of precision medicine that integrates valuable behavioral assessment tools, sophisticated neuroimaging, and electrophysiological techniques, a considerably higher diagnostic accuracy rate of DOC may now be reached. During the treatment of patients with DOC, a variety of intervention methods are available, including amantadine and transcranial direct current stimulation, which have both provided class II evidence, zolpidem, which is also of high quality, and non-invasive stimulation, which appears to be more encouraging than pharmacological therapy. However, heterogeneity is profoundly ingrained in study designs, and only rare schemes have been recommended by authoritative institutions. There is still a lack of an effective clinical protocol for managing patients with DOC following ABI. To advance future clinical studies on DOC, we present a comprehensive review of the progress in clinical identification and management as well as some challenges in the pathophysiology of DOC. We propose a preliminary clinical decision protocol, which could serve as an ideal reference tool for many medical institutions.
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Affiliation(s)
- Rui-Zhe Zheng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Zeng-Xin Qi
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Zhe Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Ze-Yu Xu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China
- National Center for Neurological Disorders, Shanghai, 200040, China
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China
| | - Xue-Hai Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
- National Center for Neurological Disorders, Shanghai, 200040, China.
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China.
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China.
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China.
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
- National Center for Neurological Disorders, Shanghai, 200040, China.
- Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, 200040, China.
- Neurosurgical Institute of Fudan University, Shanghai, 200040, China.
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai, 200040, China.
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, Shanghai, 200032, China.
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15
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Sangare A, Marois C, Perlbarg V, Pyatigorskaya N, Valente M, Zyss J, Borden A, Lambrecq V, Le Guennec L, Sitt J, Weiss N, Rohaut B, Demeret S, Puybasset L, Demoule A, Naccache L. Description and Outcome of Severe Hypoglycemic Encephalopathy in the Intensive Care Unit. Neurocrit Care 2022; 38:365-377. [PMID: 36109449 DOI: 10.1007/s12028-022-01594-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/18/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Disorders of consciousness due to severe hypoglycemia are rare but challenging to treat. The aim of this retrospective cohort study was to describe our multimodal neurological assessment of patients with hypoglycemic encephalopathy hospitalized in the intensive care unit and their neurological outcomes. METHODS Consecutive patients with disorders of consciousness related to hypoglycemia admitted for neuroprognostication from 2010 to 2020 were included. Multimodal neurological assessment included electroencephalography, somatosensory and cognitive event-related potentials, and morphological and quantitative magnetic resonance imaging (MRI) with quantification of fractional anisotropy. Neurological outcomes at 28 days, 3 months, 6 months, 1 year, and 2 years after hypoglycemia were retrieved. RESULTS Twenty patients were included. After 2 years, 75% of patients had died, 5% remained in a permanent vegetative state, 10% were in a minimally conscious state, and 10% were conscious but with severe disabilities (Glasgow Outcome Scale-Extended scores 3 and 4). All patients showed pathologic electroencephalography findings with heterogenous patterns. Morphological brain MRI revealed abnormalities in 95% of patients, with various localizations including cortical atrophy in 65% of patients. When performed, quantitative MRI showed decreased fractional anisotropy affecting widespread white matter tracts in all patients. CONCLUSIONS The overall prognosis of patients with severe hypoglycemic encephalopathy was poor, with only a small fraction of patients who slowly improved after intensive care unit discharge. Of note, patients who did not improve during the first 6 months did not recover consciousness. This study suggests that a multimodal approach capitalizing on advanced brain imaging and bedside electrophysiology techniques could improve diagnostic and prognostic performance in severe hypoglycemic encephalopathy.
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Affiliation(s)
- Aude Sangare
- Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France.
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France.
- Institut de Neurosciences Translationnelles, Paris, France.
- Brain Institute - ICM, Sorbonne Université, Inserm U1127, CNRS UMR 7225, 47 Boulevard de l'Hôpital, 75013, Paris, France.
| | - Clémence Marois
- Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
- Groupe de Recherche Clinique en Reanimation et Soins Intensifs du Patient en Insuffisance Respiratoire Aigue Assistance Publique, Sorbonne Université, Paris, France
| | | | - Nadya Pyatigorskaya
- Département de Neuroradiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
| | - Mélanie Valente
- Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
- Institut de Neurosciences Translationnelles, Paris, France
| | - Julie Zyss
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
- Institut de Neurosciences Translationnelles, Paris, France
| | - Alaina Borden
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
- Institut de Neurosciences Translationnelles, Paris, France
| | - Virginie Lambrecq
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
- Institut de Neurosciences Translationnelles, Paris, France
| | - Loic Le Guennec
- Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Jacobo Sitt
- Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France
| | - Nicolas Weiss
- Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
- Groupe de Recherche Clinique en Reanimation et Soins Intensifs du Patient en Insuffisance Respiratoire Aigue Assistance Publique, Sorbonne Université, Paris, France
- Brain Liver Pitié-Salpêtrière Study Group, Centre de Recherche Saint-Antoine, Maladies Métaboliques, Biliaires et Fibro-Inflammatoire du Foie & Institute of Cardiometabolism and Nutrition, Sorbonne Université, Paris, France
| | - Benjamin Rohaut
- Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France
- Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Sophie Demeret
- Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Département de Neurologie, Médecine Intensive et Réanimation à Orientation Neurologique, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Louis Puybasset
- Laboratoire d'Imagerie Biomédicale, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale, Assistance Publique-Hôpitaux de Paris, Départements Médico-Universitaires Diagnostic, Radiologie, Explorations fonctionnelles, Anatomo-pathologie, Médecine nucléaire, Paris, France
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
| | - Alexandre Demoule
- Neurophysiologie Respiratoire Expérimentale et Clinique, Institut National de la Santé et de la Recherche Médicale, Sorbonne Université, Paris, France
- Service Médecine Intensive-Réanimation, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Lionel Naccache
- Physiological Investigayions of Clinically Normal and Impaired Cognition Lab, Institut du Cerveau et de la Moelle épinière, Sorbonne Université, Paris, France
- Département de Neurophysiologie, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Sorbonne Université, Paris, France
- Institut de Neurosciences Translationnelles, Paris, France
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16
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Wang J, Chen X, Zhou L, Liu ZY, Xia YG, You J, Lan S, Liu JF. Assessment of electroencephalography and event-related potentials in unresponsive patients with brain injury. Neurophysiol Clin 2022; 52:384-393. [PMID: 36008205 DOI: 10.1016/j.neucli.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/25/2022] [Accepted: 07/25/2022] [Indexed: 10/15/2022] Open
Abstract
OBJECTIVE To investigate the predictors of clinical outcomes in unresponsive patients with acquired brain injuries. METHODS Patients with coma or disorders of consciousness were enrolled from August 2019 to March 2021. A retrospective analysis of demographics, etiology, clinical score, diagnosis, electroencephalography (EEG), and event-related potential (ERP) data from 1 week to 2 months after coma onset was conducted. Findings were assessed for predicting favorable outcomes at 6 months post-coma, and functional outcomes were determined using the Glasgow Outcome Scale-Extended (GOS-E). RESULTS Of 68 patients, 22 patients had a good neurological outcome at 6 months, while 11 died. Univariate analysis showed that motor response (Motor-R; p < 0.001), EEG pattern (p = 0.015), sleep spindles (p = 0.018), EEG reactivity (EEG-R; p < 0.001), mismatch negativity (MMN) amplitude at electrode Fz (FzMMNA; p = 0.001), P3a latency (p = 0.044), and P3a amplitude at electrode Cz (CzP3aA; p < 0.001) were significantly correlated with patient prognosis. Multivariable logistic regression analysis showed that FzMMNA, CzP3aA, EEG-R, and Motor-R were significant independent predictors of a favorable outcome. The sensitivity and specificity of FzMMNA (dichotomized at 1.16 μV) were 86.4% and 58.5%, and of CzP3aA (cut-off value 2.76 μV) were 90.9% and 70.7%, respectively. ERP amplitude (ERP-A), a combination of FzMMNA and CzP3aA, improved prediction accuracy, with an area under the receiver operating characteristic curve (AUC) of 0.884. A model incorporating Motor-R, EEG-R, and ERP-A yielded an outstanding predictive performance (AUC=0.921) for a favorable outcome. CONCLUSION ERP-A and the prognostic model resulted in the efficient prediction of a favorable outcome in unresponsive patients.
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Affiliation(s)
- Jian Wang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Xin Chen
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Liang Zhou
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Zi-Yuan Liu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Yu-Guo Xia
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Jia You
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Song Lan
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008
| | - Jin-Fang Liu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, PR China, 410008.
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17
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Yang Y, He Q, Xia X, Dang Y, Chen X, He J, Zhao J. Long-term functional prognosis and related factors of spinal cord stimulation in patients with disorders of consciousness. CNS Neurosci Ther 2022; 28:1249-1258. [PMID: 35619213 PMCID: PMC9253730 DOI: 10.1111/cns.13870] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/25/2022] [Accepted: 05/02/2022] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION The treatment of patients with disorders of consciousness (DoC) remains a challenging issue, and spinal cord stimulation (SCS) has been reported to be a promising treatment for DoC in some studies. AIMS This study explores the efficiency of SCS in treating patients with DoC at different consciousness levels, including the vegetative state/unresponsive wakefulness syndrome (VS/UWS) and the minimally conscious state (MCS) and summarizes and analyzes the long-term effect and related factors of SCS in patients with DoC. RESULTS An overall positive outcome was reached in 35 of 110 patients (31.8%). Among patients with positive outcomes, the MCS group improved 45.53% more than VS/UWS group, and this difference was statistically significant. In terms of the recommendation standard, positive outcomes occurred in 33 patients (94.3%) in the highly recommended group and 2 patients (5.7%) in the weakly recommended group (p < 0.001). After adjustment for potential covariables, young age (age ≤ 19 years old) (p = 0.045) and MCS (p < 0.001) were significantly correlated with positive outcome. A nomogram based on age, state of consciousness, and pathogeny showed good predictive performance, with a c-index of 0.794. The Hosmer-Lemeshow goodness-of-fit test showed that the model was well calibrated (χ2 = 3.846, p = 0.871). CONCLUSIONS SCS is one of the most feasible treatments for patients with DoC, especially for patients with MCS. Younger age is significantly associated with better outcomes and could therefore serve as a basis for preoperative screening. However, more evidence-based randomized controlled trials are needed to confirm the efficacy of the treatment.
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Affiliation(s)
- Yi Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Chinese Institute for Brain Research, Beijing, China.,Beijing Institute of Brain Disorders, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaoyu Xia
- Department of Neurosurgery, Seventh Medical Center of PLA General Hospital, Beijing, China
| | - Yuanyuan Dang
- Department of Neurosurgery, Seventh Medical Center of PLA General Hospital, Beijing, China
| | - Xueling Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianghong He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
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18
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Pruvost-Robieux E, André-Obadia N, Marchi A, Sharshar T, Liuni M, Gavaret M, Aucouturier JJ. It’s not what you say, it’s how you say it: a retrospective study of the impact of prosody on own-name P300 in comatose patients. Clin Neurophysiol 2022; 135:154-161. [DOI: 10.1016/j.clinph.2021.12.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/16/2021] [Accepted: 12/18/2021] [Indexed: 02/05/2023]
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19
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Pruvost-Robieux E, Marchi A, Martinelli I, Bouchereau E, Gavaret M. Evoked and Event-Related Potentials as Biomarkers of Consciousness State and Recovery. J Clin Neurophysiol 2022; 39:22-31. [PMID: 34474424 PMCID: PMC8715993 DOI: 10.1097/wnp.0000000000000762] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
SUMMARY The definition of consciousness has been the subject of great interest for many scientists and philosophers. To better understand how evoked potentials may be identified as biomarkers of consciousness and recovery, the different theoretical models sustaining neural correlates of consciousness are reviewed. A multimodal approach can help to better predict clinical outcome in patients presenting with disorders of consciousness. Evoked potentials are inexpensive and easy-to-implement bedside examination techniques. Evoked potentials are an integral part of prognostic evaluation, particularly in cases of cognitive motor dissociation. Prognostic criteria are well established in postanoxic disorders of consciousness, especially postcardiac arrest but are less well determined in other etiologies. In the early examination, bilateral absence of N20 in disorder of consciousness patients is strongly associated with unfavorable outcome (i.e., death or unresponsive wakefulness syndrome) especially in postanoxic etiologies. This predictive value is lower in other etiologies and probably also in children. Both N20 and mismatch negativity are proven outcome predictors for acute coma. Many studies have shown that mismatch negativity and P3a are characterized by a high prognostic value for awakening, but some patients presenting unresponsive wakefulness syndrome also process a P3a. The presence of long-latency event-related potential components in response to stimuli is indicative of a better recovery. All neurophysiological data must be integrated within a multimodal approach combining repeated clinical evaluation, neuroimaging, functional imaging, biology, and neurophysiology combining passive and active paradigms.
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Affiliation(s)
- Estelle Pruvost-Robieux
- Neurophysiology Department, GHU Paris Psychiatry & Neurosciences, Sainte Anne, Paris, France
- Paris University, Paris, France
| | - Angela Marchi
- Neurophysiology Department, GHU Paris Psychiatry & Neurosciences, Sainte Anne, Paris, France
| | - Ilaria Martinelli
- Department of Neurosciences, St. Agostino-Estense Hospital, Azienda Ospedaliero, Universitaria di Modena, Modena, Italy;
| | - Eléonore Bouchereau
- Department of Anesthesiology and intensive care, GHU Paris Psychiatry & Neurosciences, Sainte Anne, Paris, France; and
| | - Martine Gavaret
- Neurophysiology Department, GHU Paris Psychiatry & Neurosciences, Sainte Anne, Paris, France
- Paris University, Paris, France
- INSERM UMR 1266, Paris, France
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20
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Boord MS, Davis DHJ, Psaltis PJ, Coussens SW, Feuerriegel D, Garrido MI, Bourke A, Keage HAD. DelIrium VULnerability in GEriatrics (DIVULGE) study: a protocol for a prospective observational study of electroencephalogram associations with incident postoperative delirium. BMJ Neurol Open 2021; 3:e000199. [PMID: 34964043 PMCID: PMC8653776 DOI: 10.1136/bmjno-2021-000199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 11/07/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Delirium is a neurocognitive disorder common in older adults in acute care settings. Those who develop delirium are at an increased risk of dementia, cognitive decline and death. Electroencephalography (EEG) during delirium in older adults is characterised by slowing and reduced functional connectivity, but markers of vulnerability are poorly described. We aim to identify EEG spectral power and event-related potential (ERP) markers of incident delirium in older adults to understand neural mechanisms of delirium vulnerability. Characterising delirium vulnerability will provide substantial theoretical advances and outcomes have the potential to be translated into delirium risk assessment tools. METHODS AND ANALYSIS We will record EEG in 90 participants over 65 years of age prior to elective coronary artery bypass grafting (CABG) or transcatheter aortic valve implantation (TAVI). We will record 4-minutes of resting state (eyes open and eyes closed) and a 5-minute frequency auditory oddball paradigm. Outcome measures will include frequency band power, 1/f offset and slope, and ERP amplitude measures. Participants will undergo cognitive and EEG testing before their elective procedures and daily postoperative delirium assessments. Group allocation will be done retrospectively by linking preoperative EEG data according to postoperative delirium status (presence, severity, duration and subtype). ETHICS AND DISSEMINATION This study is approved by the Human Research Ethics Committee of the Royal Adelaide Hospital, Central Adelaide Local Health Network and the University of South Australia Human Ethics Committee. Findings will be disseminated through peer-reviewed journal articles and presentations at national and international conferences. TRIAL REGISTRATION NUMBER ACTRN12618001114235 and ACTRN12618000799257.
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Affiliation(s)
- Monique S Boord
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
| | | | - Peter J Psaltis
- Vascular Research Centre, Heart and Vascular Program, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
- Department of Cardiology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Scott W Coussens
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
| | - Daniel Feuerriegel
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Marta I Garrido
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Alice Bourke
- Aged Care, Rehabilitation and Palliative Care (Medical), Northern Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Hannah A D Keage
- Cognitive Ageing and Impairment Neurosciences Laboratory, Justice and Society, University of South Australia, Adelaide, South Australia, Australia
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21
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Tivadar RI, Knight RT, Tzovara A. Automatic Sensory Predictions: A Review of Predictive Mechanisms in the Brain and Their Link to Conscious Processing. Front Hum Neurosci 2021; 15:702520. [PMID: 34489663 PMCID: PMC8416526 DOI: 10.3389/fnhum.2021.702520] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/12/2021] [Indexed: 01/22/2023] Open
Abstract
The human brain has the astonishing capacity of integrating streams of sensory information from the environment and forming predictions about future events in an automatic way. Despite being initially developed for visual processing, the bulk of predictive coding research has subsequently focused on auditory processing, with the famous mismatch negativity signal as possibly the most studied signature of a surprise or prediction error (PE) signal. Auditory PEs are present during various consciousness states. Intriguingly, their presence and characteristics have been linked with residual levels of consciousness and return of awareness. In this review we first give an overview of the neural substrates of predictive processes in the auditory modality and their relation to consciousness. Then, we focus on different states of consciousness - wakefulness, sleep, anesthesia, coma, meditation, and hypnosis - and on what mysteries predictive processing has been able to disclose about brain functioning in such states. We review studies investigating how the neural signatures of auditory predictions are modulated by states of reduced or lacking consciousness. As a future outlook, we propose the combination of electrophysiological and computational techniques that will allow investigation of which facets of sensory predictive processes are maintained when consciousness fades away.
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Affiliation(s)
| | - Robert T. Knight
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Athina Tzovara
- Institute of Computer Science, University of Bern, Bern, Switzerland
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
- Sleep-Wake Epilepsy Center | NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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22
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Bouchereau E, Sharshar T, Legouy C. Delayed awakening in neurocritical care. Rev Neurol (Paris) 2021; 178:21-33. [PMID: 34392974 DOI: 10.1016/j.neurol.2021.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 02/07/2023]
Abstract
Delayed awakening is defined as a persistent disorder of arousal or consciousness 48 to 72h after sedation interruption in critically ill patients. Delayed awakening is either a component of coma or delirium. It results in longer hospital stays and increased mortality. It is therefore a diagnostic, therapeutic and prognostic emergency. In severe brain injured patients, delayed awakening may be related to the primary neurological injury or to secondary systemic insults related to organ failure associated with intensive care. In the present review, we propose diagnostic, therapeutic and prognostic algorithms for managing delayed awaking in neuro-ICU brain injured patients.
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Affiliation(s)
- E Bouchereau
- G.H.U Paris Psychiatry & Neurosciences, department of Neurocritical care, Service d'Anesthésie-Réanimation Neurochirurgicale, 1, rue Cabanis, 75674 Paris Cedex 14, France; INSERM U1266, FHU NeuroVasc, Institut de Psychiatrie et Neuroscience de Paris, Paris, France
| | - T Sharshar
- G.H.U Paris Psychiatry & Neurosciences, department of Neurocritical care, Service d'Anesthésie-Réanimation Neurochirurgicale, 1, rue Cabanis, 75674 Paris Cedex 14, France; INSERM U1266, FHU NeuroVasc, Institut de Psychiatrie et Neuroscience de Paris, Paris, France.
| | - C Legouy
- G.H.U Paris Psychiatry & Neurosciences, department of Neurocritical care, Service d'Anesthésie-Réanimation Neurochirurgicale, 1, rue Cabanis, 75674 Paris Cedex 14, France
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23
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Liu Y, Huang H, Su Y, Wang M, Zhang Y, Chen W, Liu G, Jiang M. The Combination of N60 with Mismatch Negativity Improves the Prediction of Awakening from Coma. Neurocrit Care 2021; 36:727-737. [PMID: 34291392 DOI: 10.1007/s12028-021-01308-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 06/18/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Our objective was to evaluate the use of event-related potentials and the middle-latency somatosensory evoked potential (MLSEP) for the prediction of awakening in coma, determine the evaluation day that evoked potentials (EPs) best predict an awakening outcome, and determine whether the mismatch negativity (MMN) combined with the MLSEP, when recorded at 7 days after coma, improved the prediction of awakening from coma. METHODS Design prospective blinded cohort study. Setting neurointensive care unit of a university hospital. Patients 113 consecutive patients who were severely comatose, whose etiologies of coma included stroke (65 patients), hypoxic-ischemic encephalopathy (28 patients), intracranial infection (6 patients), and other (14 patients). Interventions none. Measurements we gathered Glasgow Coma Scale scores and recorded EPs for all patients who were comatose at 7, 14, and 30 days after coma onset, unless the patients returned to consciousness. The EPs examined included the MLSEP, the middle-latency auditory evoked potential, the N100, and the MMN. With telephone follow-up after 3 months, the patients were classified as awakening or nonawakening according to Glasgow Outcome Scale. RESULTS When predicting an awakening outcome, at least the unilateral presence of the N60 had the highest sensitivity (82.7%), whereas the presence of the MMN showed the highest specificity (82.0%). The area under the receiver operating characteristic curve for the EPs were high at 7 days after coma onset. At 7 days after coma onset, the combination of the N60 and MMN offered good predictive performance for awakening (area under the receiver operating characteristic curve = 0.852, 95% confidence interval 0.765-0.940), with increased sensitivity (70.0%) and improved specificity (91.7%). CONCLUSIONS The N60 and MMN were the strongest prognostic factors for an awakening outcome. Furthermore, at 7 days after coma onset, the combination of the N60 and MMN improved the prediction of an awakening outcome in patients who were comatose.
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Affiliation(s)
- Yifei Liu
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Huijin Huang
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yingying Su
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Miao Wang
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Zhang
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Weibi Chen
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Gang Liu
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Mengdi Jiang
- Neurointensive Care Unit, Xuanwu Hospital, Capital Medical University, Beijing, China
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24
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Chiarini G, Cho SM, Whitman G, Rasulo F, Lorusso R. Brain Injury in Extracorporeal Membrane Oxygenation: A Multidisciplinary Approach. Semin Neurol 2021; 41:422-436. [PMID: 33851392 DOI: 10.1055/s-0041-1726284] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Extracorporeal membrane oxygenation (ECMO) represents an established technique to provide temporary cardiac and/or pulmonary support. ECMO, in veno-venous, veno-arterial or in extracorporeal carbon dioxide removal modality, is associated with a high rate of brain injuries. These complications have been reported in 7 to 15% of adults and 20% of neonates, and are associated with poor survival. Thromboembolic events, loss of cerebral autoregulation, alteration of the blood-brain barrier, and hemorrhage related to anticoagulation represent the main causes of severe brain injury during ECMO. The most frequent forms of acute neurological injuries in ECMO patients are intracranial hemorrhage (2-21%), ischemic stroke (2-10%), seizures (2-6%), and hypoxic-ischemic brain injury; brain death may also occur in this population. Other frequent complications are infarction (1-8%) and cerebral edema (2-10%), as well as neuropsychological and psychiatric sequelae, including posttraumatic stress disorder.
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Affiliation(s)
- Giovanni Chiarini
- Department of Cardiothoracic Surgery, Heart and Vascular Centre, Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.,Division of Anesthesiology, Intensive Care and Emergency Medicine, Spedali Civili University, Affiliated Hospital of Brescia, Brescia, Italy
| | - Sung-Min Cho
- Departments of Neurology, Anesthesiology, and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Glenn Whitman
- Division of Cardiac Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Frank Rasulo
- Division of Anesthesiology, Intensive Care and Emergency Medicine, Spedali Civili University, Affiliated Hospital of Brescia, Brescia, Italy
| | - Roberto Lorusso
- Department of Cardiothoracic Surgery, Heart and Vascular Centre, Maastricht University Medical Centre (MUMC), Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht, The Netherlands
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25
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Hu Y, Yu F, Wang C, Yan X, Wang K. Can Music Influence Patients With Disorders of Consciousness? An Event-Related Potential Study. Front Neurosci 2021; 15:596636. [PMID: 33897341 PMCID: PMC8064410 DOI: 10.3389/fnins.2021.596636] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 03/19/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Long-term disorders of consciousness (DOC) are a huge burden on both patients and their families. Previously, music intervention has been attempted as a potential therapy in DOC, with results indicating an enhancement of arousal and awareness; yet, to date, there are limited studies on music interventions in DOC with electroencephalogram monitoring. Meanwhile, prediction of awareness recovery is a challenge facing clinicians. The predictive value mismatch negativity (MMN), as a classical cognitive component in event-related potential, is still controversial. In this study, we use auditory event-related potential to probe the effect of music in DOC, and investigate whether music may improve the predictive value of MMN in awareness recovery. METHODS Fourteen DOC patients were included in the prospective study. Auditory oddball electroencephalogram data were recorded twice with each patient, before and after 5 min of listening to a Chinese symphony that has joyful associations. The outcome was assessed 6 months later. RESULTS Significant differences of MMN amplitude were found between healthy controls and pre-music DOC patients (p < 0.001), but no significant differences were found between healthy controls and post-music DOC patients. The presence of MMN before music was not correlated with favorable outcome, and 50% of patients with MMN did not recover awareness. When MMN was absent, 50% of patients awoke. After listening to music, among the 11 patients who showed MMN, seven patients recovered awareness. When MMN was absent, no one recovered awareness. CONCLUSIONS Some DOC patients, even those in a minimal consciousness state and those with unresponsive wakefulness syndrome (UWS), were affected by music. The MMN amplitude was elevated by the music to some extent. A single test of MMN did not have a good prognostic value of our study; however, retesting of MMN after stimulation with familiar music that has joyful associations might be valuable for observation and detection of possible recovery. The musical processing in DOC patients and the effect of musical therapeutic practices need further investigations.
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Affiliation(s)
- Yajuan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Fengqiong Yu
- Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Changqing Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoxiang Yan
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
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26
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Edlow BL, Claassen J, Schiff ND, Greer DM. Recovery from disorders of consciousness: mechanisms, prognosis and emerging therapies. Nat Rev Neurol 2021; 17:135-156. [PMID: 33318675 PMCID: PMC7734616 DOI: 10.1038/s41582-020-00428-x] [Citation(s) in RCA: 238] [Impact Index Per Article: 79.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2020] [Indexed: 12/16/2022]
Abstract
Substantial progress has been made over the past two decades in detecting, predicting and promoting recovery of consciousness in patients with disorders of consciousness (DoC) caused by severe brain injuries. Advanced neuroimaging and electrophysiological techniques have revealed new insights into the biological mechanisms underlying recovery of consciousness and have enabled the identification of preserved brain networks in patients who seem unresponsive, thus raising hope for more accurate diagnosis and prognosis. Emerging evidence suggests that covert consciousness, or cognitive motor dissociation (CMD), is present in up to 15-20% of patients with DoC and that detection of CMD in the intensive care unit can predict functional recovery at 1 year post injury. Although fundamental questions remain about which patients with DoC have the potential for recovery, novel pharmacological and electrophysiological therapies have shown the potential to reactivate injured neural networks and promote re-emergence of consciousness. In this Review, we focus on mechanisms of recovery from DoC in the acute and subacute-to-chronic stages, and we discuss recent progress in detecting and predicting recovery of consciousness. We also describe the developments in pharmacological and electrophysiological therapies that are creating new opportunities to improve the lives of patients with DoC.
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Affiliation(s)
- Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Nicholas D Schiff
- Feil Family Brain Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - David M Greer
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
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27
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Liu B, Zhang X, Wang L, Li Y, Hou J, Duan G, Guo T, Wu D. Outcome Prediction in Unresponsive Wakefulness Syndrome and Minimally Conscious State by Non-linear Dynamic Analysis of the EEG. Front Neurol 2021; 12:510424. [PMID: 33692735 PMCID: PMC7937604 DOI: 10.3389/fneur.2021.510424] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 02/01/2021] [Indexed: 12/12/2022] Open
Abstract
Objectives: This study aimed to investigate the role of non-linear dynamic analysis (NDA) of the electroencephalogram (EEG) in predicting patient outcome in unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS). Methods: This was a prospective longitudinal cohort study. A total of 98 and 64 UWS and MCS cases, respectively, were assessed. During admission, EEGs were acquired under eyes-closed and pain stimulation conditions. EEG nonlinear indices, including approximate entropy (ApEn) and cross-ApEn, were calculated. The modified Glasgow Outcome Scale (mGOS) was employed to assess functional prognosis 1 year following brain injury. Results: The mGOS scores were improved in 25 (26%) patients with UWS and 42 (66%) with MCS. Under the painful stimulation condition, both non-linear indices were lower in patients with UWS than in those with MCS. The frontal region, periphery of the primary sensory area (S1), and forebrain structure might be the key points modulating disorders of consciousness. The affected local cortical networks connected to S1 and unaffected distant cortical networks connecting S1 to the prefrontal area played important roles in mGOS score improvement. Conclusions: NDA provides an objective assessment of cortical excitability and interconnections of residual cortical functional islands. The impaired interconnection of the residual cortical functional island meant a poorer prognosis. The activation in the affected periphery of the S1 and the increase in the interconnection of affected local cortical areas around the S1 and unaffected S1 to the prefrontal and temporal areas meant a relatively favorable prognosis.
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Affiliation(s)
- Baohu Liu
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xu Zhang
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lijia Wang
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - Yuanyuan Li
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jun Hou
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Guoping Duan
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tongtong Guo
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dongyu Wu
- Department of Rehabilitation, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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28
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Ruiter KI, Boshra R, DeMatteo C, Noseworthy M, Connolly JF. Neurophysiological markers of cognitive deficits and recovery in concussed adolescents. Brain Res 2020; 1746:146998. [PMID: 32574566 DOI: 10.1016/j.brainres.2020.146998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 05/29/2020] [Accepted: 06/16/2020] [Indexed: 11/17/2022]
Abstract
OBJECTIVE The present study sought to determine: 1) whether concussed adolescents exhibited deficits in neurocognitive functioning as reflected by neurophysiological alterations; 2) if neurophysiological alterations could be linked to supplementary data such as the number of previous concussions and days since injury; and 3) if deficits in psychological health and behavioural tests increased during diagnosis duration. METHODS Twenty-six concussed adolescents were compared to twenty-eight healthy controls with no prior concussions. Self-report inventories evaluated depressive and concussive symptomatology, while behavioral tests evaluated cognitive ability qualitatively. To assess neurophysiological markers of cognitive function, two separate auditory oddball tasks were employed: 1) an active oddball task measuring executive control and attention as reflected by the N2b and P300, respectively; and 2) a passive oddball task assessing the early, automatic pre-conscious awareness processes as reflected by the MMN. RESULTS Concussed adolescents displayed delayed N2b and attenuated P300 responses relative to controls; showed elevated levels of depressive and concussive symptomatology; scored average-to- low-average in behavioral tests; and exhibited N2b response latencies that correlated with number of days since injury. CONCLUSION These findings demonstrate that concussed adolescents exhibit clear deficiencies in neurocognitive function, and that N2b response latency may be a marker of concussion recovery.
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Affiliation(s)
- Kyle I Ruiter
- McMaster University - ARiEAL Research Centre, L.R. Wilson Hall, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4M2, Canada; McMaster University - Department of Linguistics and Languages, Canada.
| | - Rober Boshra
- McMaster University - ARiEAL Research Centre, L.R. Wilson Hall, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4M2, Canada; McMaster University - School of Biomedical Engineering, McMaster University, ETB-406, 1280 Main St., West, Hamilton, ON L8S 4K1, Canada; MaRS Centre - Vector Institute, Canada.
| | - Carol DeMatteo
- McMaster University - School of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Institute of Applied Health Sciences, Room 403, 1400 Main St. W., Hamilton, ON L8S 1C7, Canada.
| | - Michael Noseworthy
- McMaster University - School of Biomedical Engineering, McMaster University, ETB-406, 1280 Main St., West, Hamilton, ON L8S 4K1, Canada.
| | - John F Connolly
- McMaster University - ARiEAL Research Centre, L.R. Wilson Hall, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4M2, Canada; McMaster University - Department of Linguistics and Languages, Canada; McMaster University - School of Biomedical Engineering, McMaster University, ETB-406, 1280 Main St., West, Hamilton, ON L8S 4K1, Canada; McMaster University - Department of Psychology, Neuroscience and Behaviour, Canada; MaRS Centre - Vector Institute, Canada.
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Long-term limb immobilization modulates inhibition-related electrophysiological brain activity. Neuroimage 2020; 218:116911. [DOI: 10.1016/j.neuroimage.2020.116911] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 04/28/2020] [Accepted: 04/30/2020] [Indexed: 11/18/2022] Open
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Comanducci A, Boly M, Claassen J, De Lucia M, Gibson RM, Juan E, Laureys S, Naccache L, Owen AM, Rosanova M, Rossetti AO, Schnakers C, Sitt JD, Schiff ND, Massimini M. Clinical and advanced neurophysiology in the prognostic and diagnostic evaluation of disorders of consciousness: review of an IFCN-endorsed expert group. Clin Neurophysiol 2020; 131:2736-2765. [PMID: 32917521 DOI: 10.1016/j.clinph.2020.07.015] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 07/06/2020] [Accepted: 07/26/2020] [Indexed: 12/13/2022]
Abstract
The analysis of spontaneous EEG activity and evoked potentialsis a cornerstone of the instrumental evaluation of patients with disorders of consciousness (DoC). Thepast few years have witnessed an unprecedented surge in EEG-related research applied to the prediction and detection of recovery of consciousness after severe brain injury,opening up the prospect that new concepts and tools may be available at the bedside. This paper provides a comprehensive, critical overview of bothconsolidated and investigational electrophysiological techniquesfor the prognostic and diagnostic assessment of DoC.We describe conventional clinical EEG approaches, then focus on evoked and event-related potentials, and finally we analyze the potential of novel research findings. In doing so, we (i) draw a distinction between acute, prolonged and chronic phases of DoC, (ii) attempt to relate both clinical and research findings to the underlying neuronal processes and (iii) discuss technical and conceptual caveats.The primary aim of this narrative review is to bridge the gap between standard and emerging electrophysiological measures for the detection and prediction of recovery of consciousness. The ultimate scope is to provide a reference and common ground for academic researchers active in the field of neurophysiology and clinicians engaged in intensive care unit and rehabilitation.
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Affiliation(s)
- A Comanducci
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy
| | - M Boly
- Department of Neurology and Department of Psychiatry, University of Wisconsin, Madison, USA; Wisconsin Institute for Sleep and Consciousness, Department of Psychiatry, University of Wisconsin-Madison, Madison, USA
| | - J Claassen
- Department of Neurology, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - M De Lucia
- Laboratoire de Recherche en Neuroimagerie, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - R M Gibson
- The Brain and Mind Institute and the Department of Physiology and Pharmacology, Western Interdisciplinary Research Building, N6A 5B7 University of Western Ontario, London, Ontario, Canada
| | - E Juan
- Wisconsin Institute for Sleep and Consciousness, Department of Psychiatry, University of Wisconsin-Madison, Madison, USA; Amsterdam Brain and Cognition, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - S Laureys
- Coma Science Group, Centre du Cerveau, GIGA-Consciousness, University and University Hospital of Liège, 4000 Liège, Belgium; Fondazione Europea per la Ricerca Biomedica Onlus, Milan 20063, Italy
| | - L Naccache
- Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France; Sorbonne Université, UPMC Université Paris 06, Faculté de Médecine Pitié-Salpêtrière, Paris, France
| | - A M Owen
- The Brain and Mind Institute and the Department of Physiology and Pharmacology, Western Interdisciplinary Research Building, N6A 5B7 University of Western Ontario, London, Ontario, Canada
| | - M Rosanova
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy; Fondazione Europea per la Ricerca Biomedica Onlus, Milan 20063, Italy
| | - A O Rossetti
- Neurology Service, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - C Schnakers
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA, USA
| | - J D Sitt
- Inserm U 1127, CNRS UMR 7225, Institut du Cerveau et de la Moelle épinière, ICM, Paris, France
| | - N D Schiff
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - M Massimini
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy; Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, Milan, Italy
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Estraneo A, Fiorenza S, Magliacano A, Formisano R, Mattia D, Grippo A, Romoli AM, Angelakis E, Cassol H, Thibaut A, Gosseries O, Lamberti G, Noé E, Bagnato S, Edlow BL, Chatelle C, Lejeune N, Veeramuthu V, Bartolo M, Toppi J, Zasler N, Schnakers C, Trojano L. Multicenter prospective study on predictors of short-term outcome in disorders of consciousness. Neurology 2020; 95:e1488-e1499. [PMID: 32661102 PMCID: PMC7713739 DOI: 10.1212/wnl.0000000000010254] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 03/20/2020] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE This international multicenter, prospective, observational study aimed at identifying predictors of short-term clinical outcome in patients with prolonged disorders of consciousness (DoC) due to acquired severe brain injury. METHODS Patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS) or in minimally conscious state (MCS) were enrolled within 3 months from their brain injury in 12 specialized medical institutions. Demographic, anamnestic, clinical, and neurophysiologic data were collected at study entry. Patients were then followed up for assessing the primary outcome, that is, clinical diagnosis according to standardized criteria at 6 months postinjury. RESULTS We enrolled 147 patients (44 women; mean age 49.4 [95% confidence interval 46.1-52.6] years; VS/UWS 71, MCS 76; traumatic 55, vascular 56, anoxic 36; mean time postinjury 59.6 [55.4-63.6] days). The 6-month follow-up was complete for 143 patients (VS/UWS 70; MCS 73). With respect to study entry, the clinical diagnosis improved in 72 patients (VS/UWS 27; MCS 45). Younger age, shorter time postinjury, higher Coma Recovery Scale-Revised total score, and presence of EEG reactivity to eye opening at study entry predicted better outcome, whereas etiology, clinical diagnosis, Disability Rating Scale score, EEG background activity, acoustic reactivity, and P300 on event-related potentials were not associated with outcome. CONCLUSIONS Multimodal assessment could identify patients with higher likelihood of clinical improvement in order to help clinicians, families, and funding sources with various aspects of decision-making. This multicenter, international study aims to stimulate further research that drives international consensus regarding standardization of prognostic procedures for patients with DoC.
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Affiliation(s)
- Anna Estraneo
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA.
| | - Salvatore Fiorenza
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Alfonso Magliacano
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Rita Formisano
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Donatella Mattia
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Antonello Grippo
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Anna Maria Romoli
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Efthymios Angelakis
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Helena Cassol
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Aurore Thibaut
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Olivia Gosseries
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Gianfranco Lamberti
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Enrique Noé
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Sergio Bagnato
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Brian L Edlow
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Camille Chatelle
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Nicolas Lejeune
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Vigneswaran Veeramuthu
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Michelangelo Bartolo
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Jlenia Toppi
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Nathan Zasler
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Caroline Schnakers
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
| | - Luigi Trojano
- From IRCCS Fondazione Don Carlo Gnocchi (A.E., A.G., A.M.R.), Florence; Istituti Clinici Scientifici Maugeri IRCCS (S.F.), SB S.p.A., Laboratorio di Valutazione Multimodale dei Disordini della Coscienza, Telese Terme (BN); Department of Psychology (A.M., L.T.), University of Campania L. Vanvitelli, Caserta; Fondazione Santa Lucia IRCCS (R.F., D.M.), Rome, Italy; Neurosurgery Department (E.A.), University of Athens Medical School, Greece; Coma Science Group (H.C., A.T., O.G.), GIGA Consciousness, University and University Hospital of Liège, Belgium; Neurorehabilitation and Vegetative State Unit (G.L.), E. Viglietta, Cuneo, Italy; NEURORHB-Servicio de Neurorrehabilitación de Hospitales Vithas (E.N.), Valencia, Spain; Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries (S.B.), Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy; Center for Neurotechnology and Neurorecovery (B.L.E., C.C.), Department of Neurology, Massachusetts General Hospital, Boston; CHN William Lennox (N.L.), Ottignies, Belgium; Department of Psychology (V.V.), University of Reading Malaysia; Neurorehabilitation Unit (M.B.), HABILITA Zingonia/Ciserano, Bergamo; Department of Computer, Control and Management Engineering (J.T.), Sapienza University of Rome, Italy; Concussion Care Centre of Virginia, Ltd. (N.Z.), Richmond; and Research Institute (C.S.), Casa Colina Hospital and Centers for Healthcare, Pomona, CA
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de Tommaso M, Betti V, Bocci T, Bolognini N, Di Russo F, Fattapposta F, Ferri R, Invitto S, Koch G, Miniussi C, Piccione F, Ragazzoni A, Sartucci F, Rossi S, Arcara G, Berchicci M, Bianco V, Delussi M, Gentile E, Giovannelli F, Mannarelli D, Marino M, Mussini E, Pauletti C, Pellicciari MC, Pisoni A, Raggi A, Valeriani M. Pearls and pitfalls in brain functional analysis by event-related potentials: a narrative review by the Italian Psychophysiology and Cognitive Neuroscience Society on methodological limits and clinical reliability-part I. Neurol Sci 2020; 41:2711-2735. [PMID: 32388645 DOI: 10.1007/s10072-020-04420-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 04/13/2020] [Indexed: 12/14/2022]
Abstract
Event-related potentials (ERPs) are obtained from the electroencephalogram (EEG) or the magnetoencephalogram (MEG, event-related fields (ERF)), extracting the activity that is time-locked to an event. Despite the potential utility of ERP/ERF in cognitive domain, the clinical standardization of their use is presently undefined for most of procedures. The aim of the present review is to establish limits and reliability of ERP medical application, summarize main methodological issues, and present evidence of clinical application and future improvement. The present section of the review focuses on well-standardized ERP methods, including P300, Contingent Negative Variation (CNV), Mismatch Negativity (MMN), and N400, with a chapter dedicated to laser-evoked potentials (LEPs). One section is dedicated to proactive preparatory brain activity as the Bereitschaftspotential and the prefrontal negativity (BP and pN). The P300 and the MMN potentials have a limited but recognized role in the diagnosis of cognitive impairment and consciousness disorders. LEPs have a well-documented usefulness in the diagnosis of neuropathic pain, with low application in clinical assessment of psychophysiological basis of pain. The other ERP components mentioned here, though largely applied in normal and pathological cases and well standardized, are still confined to the research field. CNV, BP, and pN deserve to be largely tested in movement disorders, just to explain possible functional changes in motor preparation circuits subtending different clinical pictures and responses to treatments.
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Affiliation(s)
- Marina de Tommaso
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Viviana Betti
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy
| | - Tommaso Bocci
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy.,Laboratory of Neuropsychology, IRCCS Istituto Auxologico, Milan, Italy
| | - Francesco Di Russo
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | | | | | - Sara Invitto
- INSPIRE - Laboratory of Cognitive and Psychophysiological Olfactory Processes, University of Salento, Lecce, Italy
| | - Giacomo Koch
- IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy.,Department of Neuroscience, Policlinico Tor Vergata, Rome, Italy
| | - Carlo Miniussi
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy.,Cognitive Neuroscience Section, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesco Piccione
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Aldo Ragazzoni
- Unit of Neurology and Clinical Neurophysiology, Fondazione PAS, Scandicci, Florence, Italy
| | - Ferdinando Sartucci
- Section of Neurophysiopathology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.,CNR Institute of Neuroscience, Pisa, Italy
| | - Simone Rossi
- Department of Medicine, Surgery and Neuroscience Siena Brain Investigation and Neuromodulation Lab (SI-BIN Lab), University of Siena, Siena, Italy
| | - Giorgio Arcara
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Marika Berchicci
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Valentina Bianco
- IRCCS Fondazione Santa Lucia (Santa Lucia Foundation), Rome, Italy.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Marianna Delussi
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Eleonora Gentile
- Applied Neurophysiology and Pain Unit-AnpLab-University of Bari Aldo Moro, Bari, Italy
| | - Fabio Giovannelli
- Section of Psychology - Department of Neuroscience, Psychology, Drug Research, Child Health, University of Florence, Florence, Italy
| | - Daniela Mannarelli
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Marco Marino
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Elena Mussini
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Caterina Pauletti
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | | | - Alberto Pisoni
- Department of Psychology & NeuroMi, University of Milano Bicocca, Milan, Italy
| | - Alberto Raggi
- Unit of Neurology, G.B. Morgagni - L. Pierantoni Hospital, Forlì, Italy
| | - Massimiliano Valeriani
- Neurology Ward Unit, Bambino Gesù Hospital, Rome, Italy. .,Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark.
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Annen J, Laureys S, Gosseries O. Brain-computer interfaces for consciousness assessment and communication in severely brain-injured patients. BRAIN-COMPUTER INTERFACES 2020; 168:137-152. [DOI: 10.1016/b978-0-444-63934-9.00011-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Steppacher I, Fuchs P, Kaps M, Nussbeck FW, Kissler J. A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness. Brain Inj 2019; 34:399-406. [DOI: 10.1080/02699052.2019.1695289] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Inga Steppacher
- Department of Psychology, University of Bielefeld, Bielefeld, Germany
- Department medical Psychology and medical Sociology, University of Göettingen, Göettingen, Germany
| | - Peter Fuchs
- Department of Psychology, University of Bielefeld, Bielefeld, Germany
| | - Michael Kaps
- Lurija Institute, Kliniken Schmieder, Allensbach, Germany
| | | | - Johanna Kissler
- Department of Psychology, University of Bielefeld, Bielefeld, Germany
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Neurophysiological predictors of aphasia recovery in patients with large left-hemispheric infarction. Chin Med J (Engl) 2019; 132:2300-2307. [PMID: 31567479 PMCID: PMC6819029 DOI: 10.1097/cm9.0000000000000459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Background: Although the rehabilitation of aphasia has been extensively studied, the prediction of language outcome still has not received sufficient attention. The aim of this study was to predict the language outcome using mismatch negativity (MMN) in patients with large left-hemispheric infarction. Methods: MMN was elicited by an oddball paradigm in which a standard tone (1000 Hz) and deviant tone (1500 Hz) were presented at 90% and 10% of the number of tones, respectively. The mean amplitudes and laterality indexes (LIs) of MMN were measured over the prefrontal, frontal, central, parietal, temporal, and perisylvian electrodes and both hemispheres during the first 7 days (session 1) and 10 to 20 days (session 2) post-onset. Mixed three-way analysis of variance (ANOVA) was used to investigate differences in these factors between two aphasia groups (the good recovery group and poor recovery group). The predictive value of the most significant LI was also compared with the score of National Institutes of Health Stroke Scale score and low-density volume on computed tomography. Results: A total of 18 patients were enrolled in this study. Mixed three-way ANOVA showed no interaction effect of session × region of interest (ROI) × group (F [3.59, 57.38] = 1.301, P = 0.282) and no interaction effect of ROI × group (F [1.81, 29.01] = 0.71, P = 0.487) and session × group (F [1.00, 16.00] = 0.084, P = 0.776) for MMN amplitude. No interaction effect of session × ROI × group (F [1.79, 28.58] = 0.62, P = 0.530), but an interaction effect of session × group (F [1.00, 16.00] = 5.21, P = 0.036) was found for LIs. In the poor recovery group, the LIs of MMN over all the ROIs, except the parietal area, became more negative at session 2 than those at session 1 (P < 0.05), but this effect was not observed in the good recovery group. Additionally, significant differences were observed in the LIs at session 2 between the two groups (P < 0.05). The LI over the perisylvian area at session 2 had the highest predictive value with an area under the curve of 0.963 (95% confidence interval: 0.884–1.000). An LI score >−0.36 over the perisylvian area suggested good recovery, but a score <−0.36 suggested poor recovery. The LI cut-off value of −0.36 had the highest sensitivity (90.0%) and specificity (87.5%) for predicting a good language outcome at 3 months post-stroke. Conclusion: LIs of MMN amplitudes at approximately 2 weeks post left-hemisphere stroke serve as more sensitive predictors of language outcome, among which the LI over the perisylvian area exhibits the best predictive value.
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Rosburg T. Alpha oscillations and consciousness in completely locked-in state. Clin Neurophysiol 2019; 130:1652-1654. [PMID: 31330450 DOI: 10.1016/j.clinph.2019.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 07/06/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Timm Rosburg
- University Psychiatric Clinics Basel, Forensic Department, Basel, Switzerland.
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Connolly JF, Reilly JP, Fox-Robichaud A, Britz P, Blain-Moraes S, Sonnadara R, Hamielec C, Herrera-Díaz A, Boshra R. Development of a point of care system for automated coma prognosis: a prospective cohort study protocol. BMJ Open 2019; 9:e029621. [PMID: 31320356 PMCID: PMC6661548 DOI: 10.1136/bmjopen-2019-029621] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION Coma is a deep state of unconsciousness that can be caused by a variety of clinical conditions. Traditional tests for coma outcome prediction are based mainly on a set of clinical observations. Recently, certain event-related potentials (ERPs), which are transient electroencephalogram (EEG) responses to auditory, visual or tactile stimuli, have been introduced as useful predictors of a positive coma outcome (ie, emergence). However, such tests require the skills of clinical neurophysiologists, who are not commonly available in many clinical settings. Additionally, none of the current standard clinical approaches have sufficient predictive accuracies to provide definitive prognoses. OBJECTIVE The objective of this study is to develop improved machine learning procedures based on EEG/ERP for determining emergence from coma. METHODS AND ANALYSIS Data will be collected from 50 participants in coma. EEG/ERP data will be recorded for 24 consecutive hours at a maximum of five time points spanning 30 days from the date of recruitment to track participants' progression. The study employs paradigms designed to elicit brainstem potentials, middle-latency responses, N100, mismatch negativity, P300 and N400. In the case of patient emergence, data are recorded on that occasion to form an additional basis for comparison. A relevant data set will be developed from the testing of 20 healthy controls, each spanning a 15-hour recording period in order to formulate a baseline. Collected data will be used to develop an automated procedure for analysis and detection of various ERP components that are salient to prognosis. Salient features extracted from the ERP and resting-state EEG will be identified and combined to give an accurate indicator of prognosis. ETHICS AND DISSEMINATION This study is approved by the Hamilton Integrated Research Ethics Board (project number 4840). Results will be disseminated through peer-reviewed journal articles and presentations at scientific conferences. TRIAL REGISTRATION NUMBER NCT03826407.
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Affiliation(s)
- John F Connolly
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Vector Institute, MaRS Discovery District, Ontario, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
- ARiEAL Research Centre, McMaster University, Hamilton, Ontario, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
| | - James P Reilly
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Vector Institute, MaRS Discovery District, Ontario, Canada
- ARiEAL Research Centre, McMaster University, Hamilton, Ontario, Canada
- Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Alison Fox-Robichaud
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Critical Care Medicine, Hamilton Health Sciences, Ontario, Canada
| | | | - Stefanie Blain-Moraes
- School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Ranil Sonnadara
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Vector Institute, MaRS Discovery District, Ontario, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
- ARiEAL Research Centre, McMaster University, Hamilton, Ontario, Canada
- Department of Linguistics and Languages, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada
| | - Cindy Hamielec
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Critical Care Medicine, Hamilton Health Sciences, Ontario, Canada
| | - Adianes Herrera-Díaz
- ARiEAL Research Centre, McMaster University, Hamilton, Ontario, Canada
- Neuroscience Graduate Program, McMaster University, Hamilton, Ontario, Canada
| | - Rober Boshra
- School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
- Vector Institute, MaRS Discovery District, Ontario, Canada
- ARiEAL Research Centre, McMaster University, Hamilton, Ontario, Canada
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38
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Hiltunen S, Virta M, Kallio S, Paavilainen P. THE EFFECTS OF HYPNOSIS AND HYPNOTIC SUGGESTIONS ON THE MISMATCH NEGATIVITY IN HIGHLY HYPNOTIZABLE SUBJECTS. Int J Clin Exp Hypn 2019; 67:192-216. [PMID: 30939087 DOI: 10.1080/00207144.2019.1580966] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The neural mechanisms associated with hypnosis were investigated in a group of 9 high hypnotizable subjects by measuring the mismatch negativity (MMN) component of the auditory event-related potential (ERP). ERPs were recorded using a passive oddball paradigm to sinusoidal standard and deviant tone stimuli of 500 and 520 Hz, respectively, in four conditions: prehypnosis, neutral hypnosis, hypnotic suggestion for altering the tone perception, and posthypnotic conditions. Earlier studies have indicated that hypnosis and hypnotic suggestions might have an effect on MMN, but the results of our study contradict these results: No statistically significant differences were found between the conditions in the MMN amplitudes.
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Affiliation(s)
- Seppo Hiltunen
- a Teaching and Learning Services, University Services , University of Helsinki , Finland.,b Department of Psychology and Logopedics, Faculty of Medicine , University of Helsinki , Finland
| | - Maarit Virta
- b Department of Psychology and Logopedics, Faculty of Medicine , University of Helsinki , Finland
| | - Sakari Kallio
- c Department of Cognitive Neuroscience and Philosophy, School of Bioscience , University of Skövde , Sweden.,d Centre for Cognitive Neuroscience , University of Turku , Finland
| | - Petri Paavilainen
- b Department of Psychology and Logopedics, Faculty of Medicine , University of Helsinki , Finland.,e Cognitive Brain Research Unit, Department of Psychology and Logopedics , University of Helsinki , Finland
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Abstract
Clinical neurophysiologic testing provides valuable support in predicting outcome in the setting of disorders of consciousness (DOC), including coma and traumatic brain injury (TBI). Electroencephalography (EEG) and evoked potentials (EP) are simple to apply, inexpensive, safe, and available in most rehabilitation facilities. This chapter reviews the use of EEG and EP in postanoxic coma and TBI. Bilateral absence of cortical somatosensory evoked potentials (SSEP) may be regarded as a predictor of poor outcome in hypoxic brain damage. Flash VEP may be useful to differentiate between good and poor outcome. In addition, low EEG frequencies, burst suppression, and isoelectric EEG patterns prognosticate poor outcomes in hypoxic brain damage. While a loss of cortical SSEP is generally regarded as a negative prognostic sign in the acute phase of hypoxic brain damage, absence of cortical SSEP responses is not necessarily associated with poor outcome in TBI. Event-related potentials (ERPs) can provide support in outcome prediction. In particular, the N100, mismatch negativity, P300, and N400 may improve accuracy of outcome prediction DOC of different etiologies. Some evidence suggests that ERPs may be superior to SSEP in predicting functional and DOC outcomes (Lew et al., 2003). ERPs are measured brain responses resulting from specific cognitive tasks, sensory stimulation, or planned motor activity.
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Affiliation(s)
- Jens D Rollnik
- Institute for Neurorehabilitation Research, BDH Clinic Hessisch Oldendorf, Hannover Medical School (MHH), Hessisch Oldendorf, Germany.
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40
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Cortical Response to the Natural Speech Envelope Correlates with Neuroimaging Evidence of Cognition in Severe Brain Injury. Curr Biol 2018; 28:3833-3839.e3. [PMID: 30471997 DOI: 10.1016/j.cub.2018.10.057] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 08/27/2018] [Accepted: 10/28/2018] [Indexed: 11/21/2022]
Abstract
Recent studies identify severely brain-injured patients with limited or no behavioral responses who successfully perform functional magnetic resonance imaging (fMRI) or electroencephalogram (EEG) mental imagery tasks [1-5]. Such tasks are cognitively demanding [1]; accordingly, recent studies support that fMRI command following in brain-injured patients associates with preserved cerebral metabolism and preserved sleep-wake EEG [5, 6]. We investigated the use of an EEG response that tracks the natural speech envelope (NSE) of spoken language [7-22] in healthy controls and brain-injured patients (vegetative state to emergence from minimally conscious state). As audition is typically preserved after brain injury, auditory paradigms may be preferred in searching for covert cognitive function [23-25]. NSE measures are obtained by cross-correlating EEG with the NSE. We compared NSE latencies and amplitudes with and without consideration of fMRI assessments. NSE latencies showed significant and progressive delay across diagnostic categories. Patients who could carry out fMRI-based mental imagery tasks showed no statistically significant difference in NSE latencies relative to healthy controls; this subgroup included patients without behavioral command following. The NSE may stratify patients with severe brain injuries and identify those patients demonstrating "cognitive motor dissociation" (CMD) [26] who show only covert evidence of command following utilizing neuroimaging or electrophysiological methods that demand high levels of cognitive function. Thus, the NSE is a passive measure that may provide a useful screening tool to improve detection of covert cognition with fMRI or other methods and improve stratification of patients with disorders of consciousness in research studies.
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41
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Campanella S, Schroder E, Kajosch H, Noel X, Kornreich C. Why cognitive event-related potentials (ERPs) should have a role in the management of alcohol disorders. Neurosci Biobehav Rev 2018; 106:234-244. [PMID: 29936112 DOI: 10.1016/j.neubiorev.2018.06.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 05/09/2018] [Accepted: 06/18/2018] [Indexed: 01/11/2023]
Abstract
Alcohol dependence is currently one of the most serious public health problems. Indeed, 3-8% of all deaths worldwide are attributable to effects of alcohol consumption. Although the first step in alcohol dependence treatment is straightforward, the main problem for clinicians lies with the prevention of relapse, as 40-70% of patients who only undergo psychosocial therapy resume alcohol use within a year following treatment. This review of the literature regarding event-related potentials (ERPs) is focused on two major neurocognitive factors that partially account for the inability of many alcoholics to remain abstinent: attentional biases towards alcohol-related stimuli that increase the urge to drink, and impaired response inhibition towards these cues that makes it more difficult for alcoholics to resist the temptation to drink. On this basis, we propose new research avenues to better implement ERPs in the management of alcohol disorders, according to four main directions that relate to (1) the development of ERP serial recordings; (2) the promotion of a multi-component ERP approach; (3) the definition of multi-site guidelines; and (4) the use of more representative laboratory situations through the use of more compelling environments.
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Affiliation(s)
- Salvatore Campanella
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles (U.L.B.), Belgium.
| | - Elisa Schroder
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles (U.L.B.), Belgium
| | - Hendrik Kajosch
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles (U.L.B.), Belgium
| | - Xavier Noel
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles (U.L.B.), Belgium
| | - Charles Kornreich
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles (U.L.B.), Belgium
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42
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André-Obadia N, Zyss J, Gavaret M, Lefaucheur JP, Azabou E, Boulogne S, Guérit JM, McGonigal A, Merle P, Mutschler V, Naccache L, Sabourdy C, Trébuchon A, Tyvaert L, Vercueil L, Rohaut B, Delval A. Recommendations for the use of electroencephalography and evoked potentials in comatose patients. Neurophysiol Clin 2018; 48:143-169. [DOI: 10.1016/j.neucli.2018.05.038] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 05/07/2018] [Indexed: 12/21/2022] Open
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Liu J, Xue X, Wu Y, Yang C, Li N, Li H. Efficacy and safety of electro-acupuncture treatment in improving the consciousness of patients with traumatic brain injury: study protocol for a randomized controlled trial. Trials 2018; 19:296. [PMID: 29843761 PMCID: PMC5975471 DOI: 10.1186/s13063-018-2687-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 05/15/2018] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Traumatic brain injury (TBI) has become a leading cause of death among young people worldwide. Survivors may live with a long-term TBI-related disability or even develop a disorder of consciousness resulting in poor life quality and shortened life expectancy. Thus far, very few approaches have been found to be effective in the consciousness recovery of these patients. Acupuncture has long been used in the treatment of neurological disorders in China. However, its efficacy and safety in consciousness recovery remain to be proved. METHODS Here, we present a study design and protocol of a randomized, blinded, controlled study to evaluate the efficacy and safety of electro-acupuncture in the consciousness recovery of patients with TBI. A total of 150 patients with initial Glasgow coma scale score of less than 8 points will be recruited in the trial and randomized into acupuncture or control groups. Patients in the control group will receive routine pharmacological treatment alone while patients in the acupuncture group will receive electro-acupuncture treatment for 10 days in addition to routine treatment. The efficacy will be assessed with the changes in Glasgow coma scale score and mismatch negativity of event-related brain potentials before and after treatment. Moreover, Glasgow outcome scale and Barthel index of activities of daily living will be compared between the two groups at 3 months after treatment. The secondary outcome measures are the length of stay in ICU and hospital, expenses in ICU and hospital, as well as the incidence of coma-related complications. The safety of electro-acupuncture will be assessed by monitoring the incidence of adverse events and changes in vital signs during the study. DISCUSSION Results from this trial will significantly add to the current body of evidence on the role of electro-acupuncture in the consciousness recovery of patients with severe TBI. In addition, a more convenient and consistent electro-acupuncture method can be set up for clinical practice. If found to be effective and safe, electro-acupuncture will be a valuable complementary option for comatose patients with TBI. TRIAL REGISTRATION Chinese Clinical Trial Registry: ChiCTR-INR-17011674 . Registered on 16 June 2016.
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Affiliation(s)
- Jie Liu
- Department of Traditional Chinese Medicine and Western Medicine, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China
| | - Xinsheng Xue
- Department of Critical Care Medicine, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China
| | - Ying Wu
- Department of Neurology, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China
| | - Chaohua Yang
- Department of Neurosurgery, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China
| | - Ning Li
- Department of Traditional Chinese Medicine and Western Medicine, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China
| | - Huiping Li
- Department of Critical Care Medicine, West-China Hospital of Sichuan University, Guoxuexiang 37, Chengdu, 610041, Sichuan, China.
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44
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Kotchoubey B, Pavlov YG. A Systematic Review and Meta-Analysis of the Relationship Between Brain Data and the Outcome in Disorders of Consciousness. Front Neurol 2018; 9:315. [PMID: 29867725 PMCID: PMC5954214 DOI: 10.3389/fneur.2018.00315] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 04/20/2018] [Indexed: 12/29/2022] Open
Abstract
A systematic search revealed 68 empirical studies of neurophysiological [EEG, event-related brain potential (ERP), fMRI, PET] variables as potential outcome predictors in patients with Disorders of Consciousness (diagnoses Unresponsive Wakefulness Syndrome [UWS] and Minimally Conscious State [MCS]). Data of 47 publications could be presented in a quantitative manner and systematically reviewed. Insufficient power and the lack of an appropriate description of patient selection each characterized about a half of all publications. In more than 80% studies, neurologists who evaluated the patients' outcomes were familiar with the results of neurophysiological tests conducted before, and may, therefore, have been influenced by this knowledge. In most subsamples of datasets, effect size significantly correlated with its standard error, indicating publication bias toward positive results. Neurophysiological data predicted the transition from UWS to MCS substantially better than they predicted the recovery of consciousness (i.e., the transition from UWS or MCS to exit-MCS). A meta-analysis was carried out for predictor groups including at least three independent studies with N > 10 per predictor per improvement criterion (i.e., transition to MCS versus recovery). Oscillatory EEG responses were the only predictor group whose effect attained significance for both improvement criteria. Other perspective variables, whose true prognostic value should be explored in future studies, are sleep spindles in the EEG and the somatosensory cortical response N20. Contrary to what could be expected on the basis of neuroscience theory, the poorest prognostic effects were shown for fMRI responses to stimulation and for the ERP component P300. The meta-analytic results should be regarded as preliminary given the presence of numerous biases in the data.
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Affiliation(s)
- Boris Kotchoubey
- Institute of Medical Psychology, University of Tübingen, Tübingen, Germany
| | - Yuri G Pavlov
- Institute of Medical Psychology, University of Tübingen, Tübingen, Germany.,Department of Psychology, Ural Federal University, Yekaterinburg, Russia
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45
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Measuring Depth in Still Water: Electrophysiologic Indicators of Residual Consciousness in the Unresponsive Patient. Epilepsy Curr 2018; 18:147-150. [PMID: 29950932 DOI: 10.5698/1535-7597.18.3.147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Searching for evidence of consciousness in outwardly unresponsive patients presents significant clinical challenges as the spectrum of disorders of consciousness has become more clearly defined, with clinical examination, functional MRI, and electrophysiologic tests having complementary roles in the investigation of minimally conscious patients, those in a locked-in state, coma, or in a vegetative state. Serial bedside electrophysiologic testing can probe for higher order cortical responses temporally and spatially propagated through cortical networks, while long-latency event-related potentials may help differentiate patients with coma or vegetative state from a state of residual consciousness. Transcranial magnetic stimulation co-registered to high-density EEG may reveal widespread pulse-stimulated cortical activation of various brain regions. These emerging electrophysiologic techniques show promise as powerful diagnostic, prognostic, and therapeutic tools.
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46
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Effects of 20 Hz Repetitive Transcranial Magnetic Stimulation on Disorders of Consciousness: A Resting-State Electroencephalography Study. Neural Plast 2018; 2018:5036184. [PMID: 29770146 PMCID: PMC5889874 DOI: 10.1155/2018/5036184] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 12/14/2017] [Indexed: 12/28/2022] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) has been proposed as an experimental approach for the treatment of disorders of consciousness (DOC). To date, there has been little research into the use of rTMS in DOC and the therapeutic effects have been variously documented. This study aimed to examine the effects of 20 Hz rTMS on the electroencephalography (EEG) reactivity and clinical response in patients with DOC and to explore the neuromodulatory effects of high-frequency rTMS. In this randomized, sham-controlled, crossover study, real or sham 20 Hz rTMS was applied to the left primary motor cortex (M1) of patients with DOC for 5 consecutive days. Evaluations were blindly performed at the baseline (T0), immediately after the end of the 5 days of treatment (T1) and 1 week after the treatment (T2) using the JFK coma recovery scale-revised (CRS-R) and resting-state EEG. Only one patient, with a history of 2 months of traumatic brain injury, showed long-lasting (T1, T2) behavioral and neurophysiological modifications after the real rTMS stimulation. The 5 remaining patients presented brain reactivity localized at several electrodes, and the EEG modification was not significant. rTMS stimulation may improve awareness and arousal of DOC. Additionally, EEG represents a potential biomarker for the therapeutic efficacy of rTMS. This trial is registered with (NCT03385278).
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47
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Hauger SL, Schanke AK, Andersson S, Chatelle C, Schnakers C, Løvstad M. The Clinical Diagnostic Utility of Electrophysiological Techniques in Assessment of Patients With Disorders of Consciousness Following Acquired Brain Injury: A Systematic Review. J Head Trauma Rehabil 2018; 32:185-196. [PMID: 27831962 DOI: 10.1097/htr.0000000000000267] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To investigate the diagnostic utility of electrophysiological recordings during active cognitive tasks in detecting residual cognitive capacities in patients with disorders of consciousness (DoC) after severe acquired brain injury. DESIGN Systematic review of empirical research in MEDLINE, Embase, PsycINFO, and Cochrane from January 2002 to March 2016. MAIN MEASURES Data extracted included sample size, type of electrophysiological technique and task design, rate of cognitive responders, false negatives and positives, and excluded subjects from the study analysis. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used for quality appraisal of the retrieved literature. RESULTS Twenty-four studies examining electrophysiological signs of command-following in patients with DoC were identified. Sensitivity rates in healthy controls demonstrated variable accuracy across the studies, ranging from 71% to 100%. In patients with DoC, specificity and sensitivity rates varied in the included studies, ranging from 0% to 100%. Pronounced heterogeneity was found between studies regarding methodological approaches, task design, and procedures of analysis, rendering comparison between studies challenging. CONCLUSION We are still far from establishing precise recommendations for standardized electrophysiological diagnostic procedures in DoC, but electrophysiological methods may add supplemental diagnostic information of covert cognition in some patients with DoC.
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Affiliation(s)
- S L Hauger
- Department of Research, Sunnaas Rehabilitation Hospital, Norway (Mrs Hauger and Drs Løvstad and Schanke); Department of Psychology, University of Oslo, Oslo, Norway (Drs Andersson, Løvstad, and Schanke); Laboratory for NeuroImaging of Coma and Consciousness, Massachusetts General Hospital, Boston, and Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, University Hospital of Lausanne, Switzerland (Dr Chatelle); and Department of Neurosurgery, University of California, Los Angeles (Dr Schnakers)
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48
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Schwartz S, Shinn-Cunningham B, Tager-Flusberg H. Meta-analysis and systematic review of the literature characterizing auditory mismatch negativity in individuals with autism. Neurosci Biobehav Rev 2018; 87:106-117. [PMID: 29408312 DOI: 10.1016/j.neubiorev.2018.01.008] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 01/15/2018] [Accepted: 01/21/2018] [Indexed: 01/16/2023]
Abstract
A number of past studies have used mismatch negativity (MMN) to identify auditory processing deficits in individuals with autism spectrum disorder (ASD). Our meta-analysis compared MMN responses for individuals with ASD and typically developing controls (TD). We analyzed 67 experiments across 22 publications that employed passive, auditory-based MMN paradigms with ASD and TD participants. Most studies lacked design characteristics that would lead to an accurate description of the MMN. Variability between experiments measuring MMN amplitude was smaller when limited to studies that counterbalanced stimuli. Reduced MMN amplitude was found among young children with ASD compared to controls and in experiments that used nonspeech sounds. Still, few studies included adolescents or those with below-average verbal IQ. Most studies suffered from small sample sizes, and aggregating these data did not reveal significant group differences. This analysis points to a need for research focused specifically on understudied ASD samples using carefully designed MMN experiments. Study of individual differences in MMN may provide further insights into distinct subgroups within the heterogeneous ASD population.
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Affiliation(s)
- Sophie Schwartz
- Graduate Program for Neuroscience, Boston University, Boston, MA, United States.
| | | | - Helen Tager-Flusberg
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
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Wu M, Bao WX, Zhang J, Hu YF, Gao J, Luo BY. Effect of acoustic stimuli in patients with disorders of consciousness: a quantitative electroencephalography study. Neural Regen Res 2018; 13:1900-1906. [PMID: 30233062 PMCID: PMC6183039 DOI: 10.4103/1673-5374.238622] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Auditory stimuli are proposed as beneficial neurorehabilitation methods in patients with disorders of consciousness. However, precise and accurate quantitative indices to estimate their potential effect remain scarce. Fourteen patients were recruited from the Neuro-Rehabilitation Unit of Hangzhou Hospital of Zhejiang Armed Police Corps of China. Altogether, there were seven cases of unresponsive wakefulness syndrome (five males and two females, aged 45.7 ± 16.8 years) and seven cases of minimally conscious state (six males and one female, aged 42.3 ± 20.8 years). Simultaneously, fourteen healthy controls (10 males and 4 females, aged 51.7 ± 9.7 years) also participated in this case-control experiment. Brain response to music, subjects’ own name, and noise was monitored by quantitative electroencephalography (QEEG) in the resting state and with acoustic stimulation. Predictive QEEG values in various brain regions were investigated. Our results show that cerebral activation was high in subjects stimulated by their own name, especially in the temporal lobe in patients with disorders of consciousness, and the frontal lobe in the control group. Further, during resting and stimulation, QEEG index (δ + θ/α + β ratio) negatively correlated with the Coma Recovery Scale-Revised score in traumatic disorders of consciousness patients. Hence, we speculate that a subject's own name might be an effective awakening therapy for patients with disorders of consciousness. Moreover, QEEG index in specific stimulation states may be used as a prognostic indicator for disorders of consciousness patients (sensitivity, 75%; specificity, 50%). This clinical study has been registered at ClinicalTrials.gov (identifier: NCT03385291).
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Affiliation(s)
- Min Wu
- Department of Neurology & Brain Medical Centre, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Wang-Xiao Bao
- Department of Neurology & Brain Medical Centre, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Jie Zhang
- Department of Neurology & Brain Medical Centre, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Yang-Fan Hu
- Department of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Jian Gao
- Department of Rehabilitation, Hangzhou Hospital of Zhejiang Armed Police Corps, Hangzhou, Zhejiang Province, China
| | - Ben-Yan Luo
- Department of Neurology & Brain Medical Centre, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
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50
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Hauger SL, Olafsen K, Schnakers C, Andelic N, Nilsen KB, Helseth E, Funderud I, Andersson S, Schanke AK, Løvstad M. Cognitive Event-Related Potentials during the Sub-Acute Phase of Severe Traumatic Brain Injury and Their Relationship to Outcome. J Neurotrauma 2017; 34:3124-3133. [PMID: 28594285 DOI: 10.1089/neu.2017.5062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Predicting outcome in the early phase after severe traumatic brain injury (sTBI) is a major clinical challenge, particularly identifying patients with potential for good cognitive outcome. The current single-center prospective study aimed to explore presence and normalization of electroencephalography (EEG)-based event-related potentials (ERPs) in the early phase followings TBI, and their relationship to functional and cognitive outcome 6 months post-injury. Fourteen adult patients (eight males) with sTBI were recruited from the neurointensive care unit (mean age = 38.2 years [standard deviation (SD) = 14.7]; mean lowest Glasgow Coma Scale (GCS) score within first 24 h = 5.4, SD = 1.87). EEG recordings were conducted biweekly at three time-points applying an ERP paradigm encompassing a passive condition involving hearing their own name randomly interspersed between an unfamiliar name (UN), and an active condition with instruction to count their own name. Functional and cognitive outcome 6 months post-injury was measured with Glasgow Outcome Scale-Extended (GOSE) and neuropsychological tests of attention and memory. Ten patients demonstrated a significantly enhanced cognitive P3 in the active counting task compared with passive listening across recordings, and six presented with normalization of P3 in the counting task. Moreover, P3 amplitude to the counting task at the third time-point was positively correlated with both functional outcome (GOSE) and cognition (verbal learning, attentional set-shifting, and switching) 6 months post-injury. ERP can index cognitive capacities in the early phase following sTBI, and the cognitive P3 component in an active design is associated with functional and cognitive outcome, demonstrating that the cognitive P3 may yield valuable information of residual cognition and provide supplementary prognostic information.
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Affiliation(s)
- Solveig L Hauger
- 1 Department of Research, Sunnaas Rehabilitation Hospital , Nesoddtangen, Norway .,2 Department of Psychology, University of Oslo , Norway
| | - Kjell Olafsen
- 3 Department of Neurointensive Treatment, Oslo University Hospital , Norway
| | - Caroline Schnakers
- 4 Neurosurgery Department, University of California , Los Angeles.,5 Research Institute , Casa Colina Hospital and Centers of Healthcare, Pomona, California
| | - Nada Andelic
- 6 Department of Physical Medicine and Rehabilitation, Oslo University Hospital , Norway .,7 Institute of Health and Society, CHARM (Center for Habilitation and Rehabilitation Models and Services), Faculty of Medicine, University of Oslo , Norway
| | - Kristian Bernhard Nilsen
- 8 Department of Neurology, Oslo University Hospital , Norway .,9 Department of Neuroscience, Norwegian University of Science and Technology , Norway
| | - Eirik Helseth
- 10 Department of Neurosurgery, Oslo University Hospital , Norway .,11 Faculty of Medicine, University of Oslo , Norway
| | | | | | - Anne-Kristine Schanke
- 1 Department of Research, Sunnaas Rehabilitation Hospital , Nesoddtangen, Norway .,2 Department of Psychology, University of Oslo , Norway
| | - Marianne Løvstad
- 1 Department of Research, Sunnaas Rehabilitation Hospital , Nesoddtangen, Norway .,2 Department of Psychology, University of Oslo , Norway
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