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Alkhachroum A, Fló E, Manolovitz B, Cohan H, Shammassian B, Bass D, Aklepi G, Monexe E, Ghamasaee P, Sobczak E, Samano D, Saavedra AB, Massad N, Kottapally M, Merenda A, Cordeiro JG, Jagid J, Kanner AM, Rundek T, O'Phelan K, Claassen J, Sitt JD. Resting-State EEG Signature of Early Consciousness Recovery in Comatose Patients with Traumatic Brain Injury. Neurocrit Care 2024:10.1007/s12028-024-02005-2. [PMID: 38811512 DOI: 10.1007/s12028-024-02005-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/25/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Resting-state electroencephalography (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI). We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in patients with TBI. METHODS This is a retrospective study of comatose patients with TBI who were admitted to a trauma center (October 2013 to January 2022). Demographics, basic clinical data, imaging characteristics, and EEGs were collected. We calculated the following using 10-min rsEEGs: power spectral density, permutation entropy (complexity measure), weighted symbolic mutual information (wSMI, global information sharing measure), Kolmogorov complexity (Kolcom, complexity measure), and heart-evoked potentials (the averaged EEG signal relative to the corresponding QRS complex on electrocardiography). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, and rsEEG data via a support vector machine. RESULTS We studied 113 of 134 (84%) patients with rsEEGs. A total of 73 (65%) patients recovered consciousness before discharge. Patients who recovered consciousness were younger (40 vs. 50 years, p = 0.01). Patients who recovered also had higher Kolcom (U = 1688, p = 0.01), increased beta power (U = 1,652 p = 0.003) with higher variability across channels (U = 1534, p = 0.034) and epochs (U = 1711, p = 0.004), lower delta power (U = 981, p = 0.04), and higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = 0.026; U = 1639, p = 0.024) than those who did not recover. The area under the receiver operating characteristic curve for rsEEG was higher than that for clinical data (using age, motor response, pupil reactivity) and higher than that for the Marshall computed tomography classification (0.69 vs. 0.66 vs. 0.56, respectively; p < 0.001). CONCLUSIONS We describe the rsEEG signature in recovery of consciousness prior to discharge in comatose patients with TBI. rsEEG measures performed modestly better than the clinical and imaging data in predicting recovery.
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Affiliation(s)
- Ayham Alkhachroum
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA.
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA.
| | - Emilia Fló
- Institut du Cerveau-Paris Brain Institute, Sorbonne Université, Paris, France
| | - Brian Manolovitz
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
| | - Holly Cohan
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Berje Shammassian
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Danielle Bass
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Gabriela Aklepi
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Esther Monexe
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Pardis Ghamasaee
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Evie Sobczak
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Daniel Samano
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Ana Bolaños Saavedra
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Nina Massad
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Mohan Kottapally
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Amedeo Merenda
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | | | - Jonathan Jagid
- Department of Neurosurgery, University of Miami, Miami, FL, USA
| | - Andres M Kanner
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Tatjana Rundek
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Kristine O'Phelan
- Division of Neurocritical Care, Department of Neurology, University of Miami, 1120 NW 14th Street, Suite 1353, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Jan Claassen
- Department of Neurology, Columbia University, New York, NY, USA
| | - Jacobo D Sitt
- Institut du Cerveau-Paris Brain Institute, Sorbonne Université, Paris, France
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2
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Schiff ND. Toward an interventional science of recovery after coma. Neuron 2024; 112:1595-1610. [PMID: 38754372 DOI: 10.1016/j.neuron.2024.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/04/2024] [Accepted: 04/24/2024] [Indexed: 05/18/2024]
Abstract
Recovery of consciousness after coma remains one of the most challenging areas for accurate diagnosis and effective therapeutic engagement in the clinical neurosciences. Recovery depends on preservation of neuronal integrity and evolving changes in network function that re-establish environmental responsiveness. It typically occurs in defined steps: it begins with eye opening and unresponsiveness in a vegetative state, then limited recovery of responsiveness characterizes the minimally conscious state, and this is followed by recovery of reliable communication. This review considers several points for novel interventions, for example, in persons with cognitive motor dissociation in whom a hidden cognitive reserve is revealed. Circuit mechanisms underlying restoration of behavioral responsiveness and communication are discussed. An emerging theme is the possibility to rescue latent capacities in partially damaged human networks across time. These opportunities should be exploited for therapeutic engagement to achieve individualized solutions for restoration of communication and environmental interaction across varying levels of recovery.
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Affiliation(s)
- Nicholas D Schiff
- Jerold B. Katz Professor of Neurology and Neuroscience, Weill Cornell Medicine, New York, NY, USA.
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3
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Claassen J, Kondziella D, Alkhachroum A, Diringer M, Edlow BL, Fins JJ, Gosseries O, Hannawi Y, Rohaut B, Schnakers C, Stevens RD, Thibaut A, Monti M. Cognitive Motor Dissociation: Gap Analysis and Future Directions. Neurocrit Care 2024; 40:81-98. [PMID: 37349602 DOI: 10.1007/s12028-023-01769-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 05/26/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Patients with disorders of consciousness who are behaviorally unresponsive may demonstrate volitional brain responses to motor imagery or motor commands detectable on functional magnetic resonance imaging or electroencephalography. This state of cognitive motor dissociation (CMD) may have prognostic significance. METHODS The Neurocritical Care Society's Curing Coma Campaign identified an international group of experts who convened in a series of monthly online meetings between September 2021 and April 2023 to examine the science of CMD and identify key knowledge gaps and unmet needs. RESULTS The group identified major knowledge gaps in CMD research: (1) lack of information about patient experiences and caregiver accounts of CMD, (2) limited epidemiological data on CMD, (3) uncertainty about underlying mechanisms of CMD, (4) methodological variability that limits testing of CMD as a biomarker for prognostication and treatment trials, (5) educational gaps for health care personnel about the incidence and potential prognostic relevance of CMD, and (6) challenges related to identification of patients with CMD who may be able to communicate using brain-computer interfaces. CONCLUSIONS To improve the management of patients with disorders of consciousness, research efforts should address these mechanistic, epidemiological, bioengineering, and educational gaps to enable large-scale implementation of CMD assessment in clinical practice.
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Affiliation(s)
- Jan Claassen
- Department of Neurology, Neurological Institute, Columbia University Irving Medical Center, NewYork Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA.
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Michael Diringer
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Joseph J Fins
- Division of Medical Ethics, Department of Medicine, Weill Cornell Medical College, NewYork Presbyterian Hospital, New York, NY, 10032, USA
| | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness, University of Liege, Liege, Belgium
- Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Yousef Hannawi
- Division of Cerebrovascular Diseases and Neurocritical Care, Department of Neurology, The Ohio State University, Columbus, OH, USA
| | - Benjamin Rohaut
- Sorbonne Université, Assistance Publique-Hôpitaux de Paris (AP-HP) - Pitié Salpêtrière, Paris, France
| | | | - Robert D Stevens
- Department of Anesthesiology and Critical Care Medicine, Neurology, and Radiology, School of Medicine, Secondary Appointment in Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Aurore Thibaut
- Coma Science Group, GIGA Consciousness, University of Liege, Liege, Belgium
- Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Martin Monti
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
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Alkhachroum A, Flo E, Manolovitz B, Stradecki-Cohan HM, Shammassian B, Bass D, Aklepi G, Monexe E, Ghamasaee P, Sobczak E, Samano D, Saavedra AB, Massad N, Kottapally M, Merenda A, Cordeiro JG, Jagid J, Kanner AM, Rundek T, O'Phelan K, Claassen J, Sitt J. Resting-State EEG Signature of Early Consciousness Recovery in Comatose Traumatic Brain Injury Patients. RESEARCH SQUARE 2024:rs.3.rs-3895330. [PMID: 38352430 PMCID: PMC10862951 DOI: 10.21203/rs.3.rs-3895330/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Background Resting-state electroencephalogram (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI) patients. We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in comatose TBI patients. Methods This is a retrospective study of comatose TBI patients who were admitted to a level-1 trauma center (10/2013-1/2022). Demographics, basic clinical data, imaging characteristics, and EEG data were collected. We calculated using 10-minute rsEEGs: power spectral density (PSD), permutation entropy (PE - complexity measure), weighted symbolic-mutual-information (wSMI - global information sharing measure), Kolmogorov complexity (Kolcom - complexity measure), and heart-evoked potentials (HEP - the averaged EEG signal relative to the corresponding QRS complex on electrocardiogram). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, rsEEG data via Support Vector Machine with a linear kernel (SVM). Results We studied 113 (out of 134, 84%) patients with rsEEGs. A total of 73 (65%) patients recovered consciousness before discharge. Patients who recovered consciousness were younger (40 vs. 50, p .01). Patients who recovered consciousness had higher Kolcom (U = 1688, p = 0.01,), increased beta power (U = 1652 p = 0.003), with higher variability across channels ( U = 1534, p = 0.034), and epochs (U = 1711, p = 0.004), lower delta power (U = 981, p = 0.04) and showed higher connectivity across time and channels as measured by wSMI in the theta band (U = 1636, p = .026, U = 1639, p = 0.024) than those who didn't recover. The ROC-AUC improved from 0.66 (using age, motor response, pupils' reactivity, and CT Marshall classification) to 0.69 (p < 0.001) when adding rsEEG measures. Conclusion We describe the rsEEG EEG signature in recovery of consciousness prior to discharge in comatose TBI patients. Resting-state EEG measures improved prediction beyond the clinical and imaging data.
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Liuzzi P, Mannini A, Hakiki B, Campagnini S, Romoli AM, Draghi F, Burali R, Scarpino M, Cecchi F, Grippo A. Brain microstate spatio-temporal dynamics as a candidate endotype of consciousness. Neuroimage Clin 2023; 41:103540. [PMID: 38101096 PMCID: PMC10727951 DOI: 10.1016/j.nicl.2023.103540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 10/02/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023]
Abstract
Consciousness can be defined as a phenomenological experience continuously evolving. Current research showed how conscious mental activity can be subdivided into a series of atomic brain states converging to a discrete spatiotemporal pattern of global neuronal firing. Using the high temporal resolution of EEG recordings in patients with a severe Acquired Brain Injury (sABI) admitted to an Intensive Rehabilitation Unit (IRU), we detected a novel endotype of consciousness from the spatiotemporal brain dynamics identified via microstate analysis. Also, we investigated whether microstate features were associated with common neurophysiological alterations. Finally, the prognostic information comprised in such descriptors was analysed in a sub-cohort of patients with prolonged Disorder of Consciousness (pDoC). Occurrence of frontally-oriented microstates (C microstate), likelihood of maintaining such brain state or transitioning to the C topography and complexity were found to be indicators of consciousness presence and levels. Features of left-right asymmetric microstates and transitions toward them were found to be negatively correlated with antero-posterior brain reorganization and EEG symmetry. Substantial differences in microstates' sequence complexity and presence of C topography were found between groups of patients with alpha dominant background, cortical reactivity and antero-posterior gradient. Also, transitioning from left-right to antero-posterior microstates was found to be an independent predictor of consciousness recovery, stronger than consciousness levels at IRU's admission. In conclusions, global brain dynamics measured with scale-free estimators can be considered an indicator of consciousness presence and a candidate marker of short-term recovery in patients with a pDoC.
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Affiliation(s)
- Piergiuseppe Liuzzi
- IRCCS Don Carlo Gnocchi ONLUS, Firenze, Italy; Istituto di BioRobotica, Scuola Superiore Sant'Anna, Pontedera, Italy
| | | | | | | | | | | | | | | | - Francesca Cecchi
- IRCCS Don Carlo Gnocchi ONLUS, Firenze, Italy; Dipartimento di Medicina Sperimentale e Clinica, Università di Firenze, Firenze, Italy
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6
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Franzova E, Shen Q, Doyle K, Chen JM, Egbebike J, Vrosgou A, Carmona JC, Grobois L, Heinonen GA, Velazquez A, Gonzales IJ, Egawa S, Agarwal S, Roh D, Park S, Connolly ES, Claassen J. Injury patterns associated with cognitive motor dissociation. Brain 2023; 146:4645-4658. [PMID: 37574216 PMCID: PMC10629765 DOI: 10.1093/brain/awad197] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/14/2023] [Accepted: 05/28/2023] [Indexed: 08/15/2023] Open
Abstract
In unconscious appearing patients with acute brain injury, wilful brain activation to motor commands without behavioural signs of command following, known as cognitive motor dissociation (CMD), is associated with functional recovery. CMD can be detected by applying machine learning to EEG recorded during motor command presentation in behaviourally unresponsive patients. Identifying patients with CMD carries clinical implications for patient interactions, communication with families, and guidance of therapeutic decisions but underlying mechanisms of CMD remain unknown. By analysing structural lesion patterns and network level dysfunction we tested the hypothesis that, in cases with preserved arousal and command comprehension, a failure to integrate comprehended motor commands with motor outputs underlies CMD. Manual segmentation of T2-fluid attenuated inversion recovery and diffusion weighted imaging sequences quantifying structural injury was performed in consecutive unresponsive patients with acute brain injury (n = 107) who underwent EEG-based CMD assessments and MRI. Lesion pattern analysis was applied to identify lesion patterns common among patients with (n = 21) and without CMD (n = 86). Thalamocortical and cortico-cortical network connectivity were assessed applying ABCD classification of power spectral density plots and weighted pairwise phase consistency (WPPC) to resting EEG, respectively. Two distinct structural lesion patterns were identified on MRI for CMD and three for non-CMD patients. In non-CMD patients, injury to brainstem arousal pathways including the midbrain were seen, while no CMD patients had midbrain lesions. A group of non-CMD patients was identified with injury to the left thalamus, implicating possible language comprehension difficulties. Shared lesion patterns of globus pallidus and putamen were seen for a group of CMD patients, which have been implicated as part of the anterior forebrain mesocircuit in patients with reversible disorders of consciousness. Thalamocortical network dysfunction was less common in CMD patients [ABCD-index 2.3 (interquartile range, IQR 2.1-3.0) versus 1.4 (IQR 1.0-2.0), P < 0.0001; presence of D 36% versus 3%, P = 0.0006], but WPPC was not different. Bilateral cortical lesions were seen in patients with and without CMD. Thalamocortical disruption did not differ for those with CMD, but long-range WPPC was decreased in 1-4 Hz [odds ratio (OR) 0.8; 95% confidence interval (CI) 0.7-0.9] and increased in 14-30 Hz frequency ranges (OR 1.2; 95% CI 1.0-1.5). These structural and functional data implicate a failure of motor command integration at the anterior forebrain mesocircuit level with preserved thalamocortical network function for CMD patients with subcortical lesions. Amongst patients with bilateral cortical lesions preserved cortico-cortical network function is associated with CMD detection. These data may allow screening for CMD based on widely available structural MRI and resting EEG.
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Affiliation(s)
- Eva Franzova
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Qi Shen
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Kevin Doyle
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Justine M Chen
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Jennifer Egbebike
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Athina Vrosgou
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Jerina C Carmona
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Lauren Grobois
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Gregory A Heinonen
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Angela Velazquez
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | | | - Satoshi Egawa
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Sachin Agarwal
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - David Roh
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Soojin Park
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - E Sander Connolly
- Department of Neurological Surgery, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, NewYork-Presbyterian Hospital, New York, NY, USA
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7
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Gao Q, Hao J, Kang X, Yuan F, Liu Y, Chen R, Liu X, Li R, Jiang W. EEG dynamics induced by zolpidem forecast consciousness evolution in prolonged disorders of consciousness. Clin Neurophysiol 2023; 153:46-56. [PMID: 37454563 DOI: 10.1016/j.clinph.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 05/19/2023] [Accepted: 06/11/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To explore whether the EEG dynamics induced by zolpidem can predict consciousness evolution in patients with prolonged disorders of consciousness (PDOC). METHODS We conducted a prospective explorative analysis on thirty-six patients with PDOC and eleven healthy controls. The EEG power spectrum was analyzed and categorized into 'ABCD' patterns at baseline and one hour after zolpidem administration at 10 mg. The clinical outcome was defined as consciousness improvement and no improvement six months after enrollment using the Coma Recovery Scale-Revised (CRS-R) score. RESULTS Zolpidem administration significantly increased the EEG power in the delta & theta bands and decreased EEG power in the beta bands in healthy controls. Further follow-up studies indicated that the increased EEG beta-band power induced by zolpidem can predict an improved consciousness six months after enrollment with an area under the receiver operating characteristic curve (AUC) of 0.829, the sensitivity of 94.38% and an accuracy of 81.48%. CONCLUSIONS Our work revealed that the specific EEG responses to zolpidem can predict consciousness recovery in PDOC patients. SIGNIFICANCE The zolpidem-induced specific EEG responses could potentially predict the recovery of PDOC patients, which may help clinicians and patients' families in their decision-making process.
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Affiliation(s)
- Qiong Gao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
| | - Jianmin Hao
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Xiaogang Kang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Fang Yuan
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China; Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, China.
| | - Yu Liu
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
| | - Rong Chen
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Xiuyun Liu
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
| | - Rui Li
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
| | - Wen Jiang
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
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8
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Annen J, Frasso G, van der Lande GJM, Bonin EAC, Vitello MM, Panda R, Sala A, Cavaliere C, Raimondo F, Bahri MA, Schiff ND, Gosseries O, Thibaut A, Laureys S. Cerebral electrometabolic coupling in disordered and normal states of consciousness. Cell Rep 2023; 42:112854. [PMID: 37498745 DOI: 10.1016/j.celrep.2023.112854] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 06/02/2023] [Accepted: 07/08/2023] [Indexed: 07/29/2023] Open
Abstract
We assess cerebral integrity with cortical and subcortical FDG-PET and cortical electroencephalography (EEG) within the mesocircuit model framework in patients with disorders of consciousness (DoCs). The mesocircuit hypothesis proposes that subcortical activation facilitates cortical function. We find that the metabolic balance of subcortical mesocircuit areas is informative for diagnosis and is associated with four EEG-based power spectral density patterns, cortical metabolism, and α power in healthy controls and patients with a DoC. Last, regional electrometabolic coupling at the cortical level can be identified in the θ and α ranges, showing positive and negative relations with glucose uptake, respectively. This relation is inverted in patients with a DoC, potentially related to altered orchestration of neural activity, and may underlie suboptimal excitability states in patients with a DoC. By understanding the neurobiological basis of the pathophysiology underlying DoCs, we foresee translational value for diagnosis and treatment of patients with a DoC.
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Affiliation(s)
- Jitka Annen
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium.
| | | | - Glenn J M van der Lande
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Estelle A C Bonin
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Marie M Vitello
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Rajanikant Panda
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Arianna Sala
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | | | - Federico Raimondo
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Mohamed Ali Bahri
- GIGA-Cyclotron Research Centre-In Vivo Imaging, University of Liège, Liège, Belgium
| | | | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Aurore Thibaut
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium; Centre du Cerveau(2), University Hospital of Liège, Liège, Belgium; Joint International Research Unit on Consciousness, CERVO Brain Research Centre, University Laval, Quebec City, QC, Canada
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9
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Schiff ND. Mesocircuit mechanisms in the diagnosis and treatment of disorders of consciousness. Presse Med 2023; 52:104161. [PMID: 36563999 DOI: 10.1016/j.lpm.2022.104161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/14/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
The 'mesocircuit hypothesis' proposes mechanisms underlying the recovery of consciousness following severe brain injuries. The model builds up from a single premise that multifocal brain injuries resulting in coma and subsequent disorders of consciousness produce widespread neuronal death and dysfunction. Considering the general properties of cortical, thalamic, and striatal neurons, a lawful and specific circuit-level mechanism is constructed based on these known anatomical and physiological specializations of neuronal subtypes. The mesocircuit model generates many testable predictions at the mesocircuit, local circuit, and cellular level across multiple cerebral structures to correlate diagnostic measurements and interpret therapeutic interventions. The anterior forebrain mesocircuit is integrally related to the frontal-parietal network, another network demonstrated to show strong correlation with levels of recovery in disorders of consciousness. A further extension known as the "ABCD" model has been used to examine interaction of these models in recovery of consciousness using electrophysiological data types. Many studies have examined predictions of the mesocircuit model; here we first present the model and review the accumulated evidence for several predictions of model across multiple stages of recovery function in human subjects. Recent studies linking the mesocircuit model, the ABCD model, and interactions with the frontoparietal network are reviewed. Finally, theoretical implications of the mesocircuit model at the neuronal level are considered to interpret recent studies of deep brain stimulation in the central lateral thalamus in patients recovering from coma and in new experimental models in the context of emerging understanding of neuronal and local circuit mechanisms underlying conscious brain states.
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Affiliation(s)
- Nicholas D Schiff
- Jerold B. Katz Professor of Neurology and Neuroscience, Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, United States.
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10
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Alkhachroum A, Appavu B, Egawa S, Foreman B, Gaspard N, Gilmore EJ, Hirsch LJ, Kurtz P, Lambrecq V, Kromm J, Vespa P, Zafar SF, Rohaut B, Claassen J. Electroencephalogram in the intensive care unit: a focused look at acute brain injury. Intensive Care Med 2022; 48:1443-1462. [PMID: 35997792 PMCID: PMC10008537 DOI: 10.1007/s00134-022-06854-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/31/2022] [Indexed: 02/04/2023]
Abstract
Over the past decades, electroencephalography (EEG) has become a widely applied and highly sophisticated brain monitoring tool in a variety of intensive care unit (ICU) settings. The most common indication for EEG monitoring currently is the management of refractory status epilepticus. In addition, a number of studies have associated frequent seizures, including nonconvulsive status epilepticus (NCSE), with worsening secondary brain injury and with worse outcomes. With the widespread utilization of EEG (spot and continuous EEG), rhythmic and periodic patterns that do not fulfill strict seizure criteria have been identified, epidemiologically quantified, and linked to pathophysiological events across a wide spectrum of critical and acute illnesses, including acute brain injury. Increasingly, EEG is not just qualitatively described, but also quantitatively analyzed together with other modalities to generate innovative measurements with possible clinical relevance. In this review, we discuss the current knowledge and emerging applications of EEG in the ICU, including seizure detection, ischemia monitoring, detection of cortical spreading depolarizations, assessment of consciousness and prognostication. We also review some technical aspects and challenges of using EEG in the ICU including the logistics of setting up ICU EEG monitoring in resource-limited settings.
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Affiliation(s)
- Ayham Alkhachroum
- Department of Neurology, University of Miami, Miami, FL, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, FL, USA
| | - Brian Appavu
- Department of Child Health and Neurology, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, USA
- Department of Neurosciences, Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Satoshi Egawa
- Neurointensive Care Unit, Department of Neurosurgery, and Stroke and Epilepsy Center, TMG Asaka Medical Center, Saitama, Japan
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, 231 Albert Sabin Way, Cincinnati, OH, USA
| | - Nicolas Gaspard
- Department of Neurology, Erasme Hospital, Free University of Brussels, Brussels, Belgium
| | - Emily J Gilmore
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
- Neurocritical Care and Emergency Neurology, Department of Neurology, Ale University School of Medicine, New Haven, CT, USA
| | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Pedro Kurtz
- Department of Intensive Care Medicine, D'or Institute for Research and Education, Rio de Janeiro, Brazil
- Neurointensive Care, Paulo Niemeyer State Brain Institute, Rio de Janeiro, Brazil
| | - Virginie Lambrecq
- Department of Clinical Neurophysiology and Epilepsy Unit, AP-HP, Pitié Salpêtrière Hospital, Reference Center for Rare Epilepsies, 75013, Paris, France
| | - Julie Kromm
- Departments of Critical Care Medicine and Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, AB, Canada
| | - Paul Vespa
- Brain Injury Research Center, Department of Neurosurgery, University of California, Los Angeles, USA
| | - Sahar F Zafar
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin Rohaut
- Department of Neurology, Sorbonne Université, Pitié-Salpêtrière-AP-HP and Paris Brain Institute, ICM, Inserm, CNRS, Paris, France
| | - Jan Claassen
- Department of Neurology, Neurological Institute, Columbia University, New York Presbyterian Hospital, 177 Fort Washington Avenue, MHB 8 Center, Room 300, New York, NY, 10032, USA.
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11
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Mainali S, Aiyagari V, Alexander S, Bodien Y, Boerwinkle V, Boly M, Brown E, Brown J, Claassen J, Edlow BL, Fink EL, Fins JJ, Foreman B, Frontera J, Geocadin RG, Giacino J, Gilmore EJ, Gosseries O, Hammond F, Helbok R, Claude Hemphill J, Hirsch K, Kim K, Laureys S, Lewis A, Ling G, Livesay SL, McCredie V, McNett M, Menon D, Molteni E, Olson D, O'Phelan K, Park S, Polizzotto L, Javier Provencio J, Puybasset L, Venkatasubba Rao CP, Robertson C, Rohaut B, Rubin M, Sharshar T, Shutter L, Sampaio Silva G, Smith W, Stevens RD, Thibaut A, Vespa P, Wagner AK, Ziai WC, Zink E, I Suarez J. Proceedings of the Second Curing Coma Campaign NIH Symposium: Challenging the Future of Research for Coma and Disorders of Consciousness. Neurocrit Care 2022; 37:326-350. [PMID: 35534661 PMCID: PMC9283342 DOI: 10.1007/s12028-022-01505-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 03/29/2022] [Indexed: 12/21/2022]
Abstract
This proceedings article presents actionable research targets on the basis of the presentations and discussions at the 2nd Curing Coma National Institutes of Health (NIH) symposium held from May 3 to May 5, 2021. Here, we summarize the background, research priorities, panel discussions, and deliverables discussed during the symposium across six major domains related to disorders of consciousness. The six domains include (1) Biology of Coma, (2) Coma Database, (3) Neuroprognostication, (4) Care of Comatose Patients, (5) Early Clinical Trials, and (6) Long-term Recovery. Following the 1st Curing Coma NIH virtual symposium held on September 9 to September 10, 2020, six workgroups, each consisting of field experts in respective domains, were formed and tasked with identifying gaps and developing key priorities and deliverables to advance the mission of the Curing Coma Campaign. The highly interactive and inspiring presentations and panel discussions during the 3-day virtual NIH symposium identified several action items for the Curing Coma Campaign mission, which we summarize in this article.
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Affiliation(s)
- Shraddha Mainali
- Department of Neurology, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
| | - Venkatesh Aiyagari
- Neurological Surgery and Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sheila Alexander
- School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yelena Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Varina Boerwinkle
- Division of Neurology, Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, AZ, USA
| | - Melanie Boly
- Departments of Neurology and Psychiatry, Wisconsin Institute for Sleep and Consciousness, University of Wisconsin, Madison, WI, USA
| | - Emery Brown
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jeremy Brown
- Office of Emergency Care Research, Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Ericka L Fink
- Department of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Joseph J Fins
- Division of Medical Ethics, Weill Cornell Medical College, New York, NY, USA
- Yale Law School, New Haven, CT, USA
| | - Brandon Foreman
- Division of Neurocritical Care, Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Jennifer Frontera
- Department of Neurology, New York University School of Medicine, New York, NY, USA
| | - Romergryko G Geocadin
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joseph Giacino
- Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA
| | - Emily J Gilmore
- Comprehensive Epilepsy Center, Department of Neurology, Yale University, New Haven, CT, USA
| | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness, University of Liege, Liege, Belgium
- Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Flora Hammond
- Indiana University Department of Physical Medicine and Rehabilitation, University of Indiana School of Medicine, Indianapolis, IN, USA
| | - Raimund Helbok
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - J Claude Hemphill
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Karen Hirsch
- Division of Neurocritical Care, Department of Neurology, Stanford University, Stanford, CA, USA
| | - Keri Kim
- College of Pharmacy, University of Illinois, Chicago, IL, USA
| | - Steven Laureys
- Coma Science Group, Cyclotron Research Center, University of Liege, Liege, Belgium
- Department of Neurology, Centre Hospitalier Universitaire Sart Tilman, University of Liege, Liege, Belgium
| | - Ariane Lewis
- Department of Neurology and Neurosurgery, New York University Langone Health, New York, NY, USA
| | - Geoffrey Ling
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sarah L Livesay
- Department of Adult Health and Gerontological Nursing, College of Nursing, Rush University, Chicago, IL, USA
| | - Victoria McCredie
- Interdepartmental Division of Critical Care, Department of Respirology, University of Toronto, Toronto, ON, Canada
| | - Molly McNett
- College of Nursing, Ohio State University, Columbus, OH, USA
| | - David Menon
- Division of Anaesthesia, University of Cambridge, Cambridge, UK
| | - Erika Molteni
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - DaiWai Olson
- Neuroscience Intensive Care Unit, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kristine O'Phelan
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Soojin Park
- Department of Neurology and Neurocritical Care, Columbia University, New York, NY, USA
| | - Len Polizzotto
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Jose Javier Provencio
- Department of Neurology and Neuroscience, University of Virginia, Charlottesville, VA, USA
| | - Louis Puybasset
- Department of Neuroradiology, University of Paris VI, Pierre et Marie Curie, Pitié-Salpêtrière Hospital, Paris, France
| | - Chethan P Venkatasubba Rao
- Division of Vascular Neurology and Neurocritical Care, CHI St. Luke's Health-Baylor St. Luke's Medical Center, Baylor College of Medicine, Houston, TX, USA
| | - Courtney Robertson
- Departments of Anesthesiology and Critical Care Medicine, and Pediatrics, Johns Hopkins Children's Center, The Johns Hopkins University School of Medcine, Baltimore, MD, USA
| | - Benjamin Rohaut
- Neuroscience Intensive Care Unit, Department of Neurology, Sorbonne University, Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - Michael Rubin
- Neurological Surgery and Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tarek Sharshar
- Department of Intensive Care, Paris Descartes University, Paris, France
| | | | - Gisele Sampaio Silva
- Hospital Israelita Albert Einstein, Academic Research Organization and Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Wade Smith
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Robert D Stevens
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aurore Thibaut
- Coma Science Group, GIGA Consciousness, University of Liege, Liege, Belgium
- Centre du Cerveau, University Hospital of Liege, Liege, Belgium
| | - Paul Vespa
- Ronald Reagan UCLA Medical Center, UCLA Santa Monica Medical Center, Santa Monica, CA, USA
| | - Amy K Wagner
- Department of Physical Medicine and Rehabilitation, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wendy C Ziai
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Zink
- Department of Neuroscience Nursing, The Johns Hopkins Hospital, The Johns Hopkins University, Baltimore, MD, USA
| | - Jose I Suarez
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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12
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Curley WH, Bodien YG, Zhou DW, Conte MM, Foulkes AS, Giacino JT, Victor JD, Schiff ND, Edlow BL. Electrophysiological correlates of thalamocortical function in acute severe traumatic brain injury. Cortex 2022; 152:136-152. [PMID: 35569326 PMCID: PMC9759728 DOI: 10.1016/j.cortex.2022.04.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/26/2022] [Accepted: 04/04/2022] [Indexed: 12/26/2022]
Abstract
Tools assaying the neural networks that modulate consciousness may facilitate tracking of recovery after acute severe brain injury. The ABCD framework classifies resting-state EEG into categories reflecting levels of thalamocortical network function that correlate with outcome in post-cardiac arrest coma. In this longitudinal cohort study, we applied the ABCD framework to 20 patients with acute severe traumatic brain injury requiring intensive care (12 of whom were also studied at ≥6-months post-injury) and 16 healthy controls. We tested four hypotheses: 1) EEG ABCD classifications are spatially heterogeneous and temporally variable; 2) ABCD classifications improve longitudinally, commensurate with the degree of behavioral recovery; 3) ABCD classifications correlate with behavioral level of consciousness; and 4) the Coma Recovery Scale-Revised arousal facilitation protocol yields improved ABCD classifications. Channel-level EEG power spectra were classified based on spectral peaks within pre-defined frequency bands: 'A' = no peaks above delta (<4 Hz) range (complete thalamocortical disruption); 'B' = theta (4-8 Hz) peak (severe thalamocortical disruption); 'C' = theta and beta (13-24 Hz) peaks (moderate thalamocortical disruption); or 'D' = alpha (8-13 Hz) and beta peaks (normal thalamocortical function). Acutely, 95% of patients demonstrated 'D' signals in at least one channel but exhibited within-session temporal variability and spatial heterogeneity in the proportion of different channel-level ABCD classifications. By contrast, healthy participants and patients at follow-up consistently demonstrated signals corresponding to intact thalamocortical network function. Patients demonstrated longitudinal improvement in ABCD classifications (p < .05) and ABCD classification distinguished patients with and without command-following in the subacute-to-chronic phase of recovery (p < .01). In patients studied acutely, ABCD classifications improved after the Coma Recovery Scale-Revised arousal facilitation protocol (p < .05) but did not correspond with behavioral level of consciousness. These findings support the use of the ABCD framework to characterize channel-level EEG dynamics and track fluctuations in functional thalamocortical network integrity in spatial detail.
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Affiliation(s)
- William H Curley
- Harvard Medical School, Boston, MA, USA; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA
| | - David W Zhou
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mary M Conte
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA
| | - Andrea S Foulkes
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital and Harvard Medical School, Charlestown, MA, USA; Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jonathan D Victor
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA
| | - Nicholas D Schiff
- Feil Family Brain and Mind Research Institute, Weill Cornell Medical College, New York, NY, USA; Department of Neurology, New York Presbyterian Hospital, New York, NY, USA
| | - 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 and Harvard Medical School, Charlestown, MA, USA.
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13
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Barra ME, Edlow BL, Brophy GM. Pharmacologic Therapies to Promote Recovery of Consciousness. Semin Neurol 2022; 42:335-347. [PMID: 36100228 DOI: 10.1055/s-0042-1755271] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Pharmacologic interventions are commonly used to support rehabilitation efforts of patients with disorders of consciousness (DoC). The 2018 practice guidelines recommend amantadine in adults with traumatic DoC to promote functional recovery, though several other stimulants are used off-label in clinical practice and trials, such as methylphenidate, bromocriptine, levodopa, and zolpidem. Differences in the mechanisms of action, adverse effects, pharmacokinetics, and drug-drug interactions should be considered when selecting the best agent for each individual patient. Overall, pharmacologic stimulants may provide a safe and inexpensive pathway to increased functionality and participation in rehabilitation. This article provides a concise summary of scientific evidence supporting the use of pharmacologic therapies to stimulate recovery of consciousness in patients with DoC.
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Affiliation(s)
- Megan E Barra
- Department of Pharmacy, Massachusetts General Hospital, Boston, Massachusetts.,Department of Neurology, Center for Neurotechnology and Neurorecovery (CNTR), Massachusetts General Hospital, Boston, Massachusetts
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery (CNTR), Massachusetts General Hospital, Boston, Massachusetts.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Gretchen M Brophy
- Department of Pharmacotherapy and Outcomes Science and Neurosurgery, Virginia Commonwealth University, Medical College of Virginia, Richmond, Virginia
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14
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Curley WH, Comanducci A, Fecchio M. Conventional and Investigational Approaches Leveraging Clinical EEG for Prognosis in Acute Disorders of Consciousness. Semin Neurol 2022; 42:309-324. [PMID: 36100227 DOI: 10.1055/s-0042-1755220] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Prediction of recovery of consciousness after severe brain injury is difficult and limited by a lack of reliable, standardized biomarkers. Multiple approaches for analysis of clinical electroencephalography (EEG) that shed light on prognosis in acute severe brain injury have emerged in recent years. These approaches fall into two major categories: conventional characterization of EEG background and quantitative measurement of resting state or stimulus-induced EEG activity. Additionally, a small number of studies have associated the presence of electrophysiologic sleep features with prognosis in the acute phase of severe brain injury. In this review, we focus on approaches for the analysis of clinical EEG that have prognostic significance and that could be readily implemented with minimal additional equipment in clinical settings, such as intensive care and intensive rehabilitation units, for patients with acute disorders of consciousness.
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Affiliation(s)
- William H Curley
- Harvard Medical School, Boston, Massachusetts.,Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, Massachusetts
| | - Angela Comanducci
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.,Università Campus Bio-Medico di Roma, Rome, Italy
| | - Matteo Fecchio
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Boston, Massachusetts
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15
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Alkhachroum A, Kromm J, De Georgia MA. Big data and predictive analytics in neurocritical care. Curr Neurol Neurosci Rep 2022; 22:19-32. [PMID: 35080751 DOI: 10.1007/s11910-022-01167-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW To describe predictive data and workflow in the intensive care unit when managing neurologically ill patients. RECENT FINDINGS In the era of Big Data in medicine, intensive critical care units are data-rich environments. Neurocritical care adds another layer of data with advanced multimodal monitoring to prevent secondary brain injury from ischemia, tissue hypoxia, and a cascade of ongoing metabolic events. A step closer toward personalized medicine is the application of multimodal monitoring of cerebral hemodynamics, bran oxygenation, brain metabolism, and electrophysiologic indices, all of which have complex and dynamic interactions. These data are acquired and visualized using different tools and monitors facing multiple challenges toward the goal of the optimal decision support system. In this review, we highlight some of the predictive data used to diagnose, treat, and prognosticate the neurologically ill patients. We describe information management in neurocritical care units including data acquisition, wrangling, analysis, and visualization.
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Affiliation(s)
- Ayham Alkhachroum
- Miller School of Medicine, Neurocritical Care Division, Department of Neurology, University of Miami, Miami, FL, 33146, USA
| | - Julie Kromm
- Cumming School of Medicine, Department of Critical Care Medicine, University of Calgary, Calgary, AB, Canada
- Cumming School of Medicine, Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Michael A De Georgia
- Center for Neurocritical Care, Neurological Institute, University Hospital Cleveland Medical Center, 11100 Euclid Avenue, Cleveland, OH, 44106-5040, USA.
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16
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Frohlich J, Crone JS, Johnson MA, Lutkenhoff ES, Spivak NM, Dell'Italia J, Hipp JF, Shrestha V, Ruiz Tejeda JE, Real C, Vespa PM, Monti MM. Neural oscillations track recovery of consciousness in acute traumatic brain injury patients. Hum Brain Mapp 2022; 43:1804-1820. [PMID: 35076993 PMCID: PMC8933330 DOI: 10.1002/hbm.25725] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/26/2021] [Accepted: 11/07/2021] [Indexed: 11/25/2022] Open
Abstract
Electroencephalography (EEG), easily deployed at the bedside, is an attractive modality for deriving quantitative biomarkers of prognosis and differential diagnosis in severe brain injury and disorders of consciousness (DOC). Prior work by Schiff has identified four dynamic regimes of progressive recovery of consciousness defined by the presence or absence of thalamically‐driven EEG oscillations. These four predefined categories (ABCD model) relate, on a theoretical level, to thalamocortical integrity and, on an empirical level, to behavioral outcome in patients with cardiac arrest coma etiologies. However, whether this theory‐based stratification of patients might be useful as a diagnostic biomarker in DOC and measurably linked to thalamocortical dysfunction remains unknown. In this work, we relate the reemergence of thalamically‐driven EEG oscillations to behavioral recovery from traumatic brain injury (TBI) in a cohort of N = 38 acute patients with moderate‐to‐severe TBI and an average of 1 week of EEG recorded per patient. We analyzed an average of 3.4 hr of EEG per patient, sampled to coincide with 30‐min periods of maximal behavioral arousal. Our work tests and supports the ABCD model, showing that it outperforms a data‐driven clustering approach and may perform equally well compared to a more parsimonious categorization. Additionally, in a subset of patients (N = 11), we correlated EEG findings with functional magnetic resonance imaging (fMRI) connectivity between nodes in the mesocircuit—which has been theoretically implicated by Schiff in DOC—and report a trend‐level relationship that warrants further investigation in larger studies.
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Affiliation(s)
- Joel Frohlich
- Department of Psychology University of California Los Angeles Los Angeles California USA
| | - Julia S. Crone
- Department of Psychology University of California Los Angeles Los Angeles California USA
- Vienna Cognitive Science Hub University of Vienna Vienna Austria
| | - Micah A. Johnson
- Department of Psychology University of California Los Angeles Los Angeles California USA
| | - Evan S. Lutkenhoff
- Department of Psychology University of California Los Angeles Los Angeles California USA
| | - Norman M. Spivak
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
| | - John Dell'Italia
- Department of Psychology University of California Los Angeles Los Angeles California USA
| | - Joerg F. Hipp
- Roche Pharma Research and Early Development Roche Innovation Center Basel Basel Switzerland
| | - Vikesh Shrestha
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
| | - Jesús E. Ruiz Tejeda
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
| | - Courtney Real
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
| | - Paul M. Vespa
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
| | - Martin M. Monti
- Department of Psychology University of California Los Angeles Los Angeles California USA
- Department of Neurosurgery UCLA Brain Injury Research Center, David Geffen School of Medicine, University of California Los Angeles Los Angeles California USA
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17
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Alkhachroum A, Bustillo AJ, Asdaghi N, Marulanda-Londono E, Gutierrez CM, Samano D, Sobczak E, Foster D, Kottapally M, Merenda A, Koch S, Romano JG, O’Phelan K, Claassen J, Sacco RL, Rundek T. Withdrawal of Life-Sustaining Treatment Mediates Mortality in Patients With Intracerebral Hemorrhage With Impaired Consciousness. Stroke 2021; 52:3891-3898. [PMID: 34583530 PMCID: PMC8608746 DOI: 10.1161/strokeaha.121.035233] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Impaired level of consciousness (LOC) on presentation at hospital admission in patients with intracerebral hemorrhage (ICH) may affect outcomes and the decision to withhold or withdraw life-sustaining treatment (WOLST). METHODS Patients with ICH were included across 121 Florida hospitals participating in the Florida Stroke Registry from 2010 to 2019. We studied the effect of LOC on presentation on in-hospital mortality (primary outcome), WOLST, ambulation status on discharge, hospital length of stay, and discharge disposition. RESULTS Among 37 613 cases with ICH (mean age 71, 46% women, 61% White, 20% Black, 15% Hispanic), 12 272 (33%) had impaired LOC at onset. Compared with cases with preserved LOC, patients with impaired LOC were older (72 versus 70 years), more women (49% versus 45%), more likely to have aphasia (38% versus 16%), had greater ICH score (3 versus 1), greater risk of WOLST (41% versus 18%), and had an increased in-hospital mortality (32% versus 12%). In the multivariable-logistic regression with generalized estimating equations accounting for basic demographics, comorbidities, ICH severity, hospital size and teaching status, impaired LOC was associated with greater mortality (odds ratio, 3.7 [95% CI, 3.1-4.3], P<0.0001) and less likely discharged home or to rehab (odds ratio, 0.3 [95% CI, 0.3-0.4], P<0.0001). WOLST significantly mediated the effect of impaired LOC on mortality (mediation effect, 190 [95% CI, 152-229], P<0.0001). Early WOLST (<2 days) occurred among 51% of patients. A reduction in early WOLST was observed in patients with impaired LOC after the 2015 American Heart Association/American Stroke Association ICH guidelines recommending aggressive treatment and against early do-not-resuscitate. CONCLUSIONS In this large multicenter stroke registry, a third of ICH cases presented with impaired LOC. Impaired LOC was associated with greater in-hospital mortality and worse disposition at discharge, largely influenced by early decision to withhold or WOLST.
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Affiliation(s)
- Ayham Alkhachroum
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Antonio J Bustillo
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Negar Asdaghi
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Erika Marulanda-Londono
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Carolina M Gutierrez
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Daniel Samano
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Evie Sobczak
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Dianne Foster
- Regional Director Quality Improvement, American Heart Association, USA
| | - Mohan Kottapally
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Amedeo Merenda
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Sebastian Koch
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Jose G. Romano
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Kristine O’Phelan
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Jan Claassen
- Department of Neurology, Columbia University, New York, NY, USA
| | - Ralph L. Sacco
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
| | - Tatjana Rundek
- Department of Neurology, University of Miami, Miami, Florida, USA
- Department of Neurology, Jackson Memorial Hospital, Miami, Florida, USA
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Sanz LRD, Thibaut A, Edlow BL, Laureys S, Gosseries O. Update on neuroimaging in disorders of consciousness. Curr Opin Neurol 2021; 34:488-496. [PMID: 34054109 PMCID: PMC8938964 DOI: 10.1097/wco.0000000000000951] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE OF REVIEW Neuroimaging has acquired a prominent place in the assessment of disorders of consciousness (DoC). Rapidly evolving technologies combined with state-of-the-art data analyses open new horizons to probe brain activity, but selecting appropriate imaging modalities from the plethora of available techniques can be challenging for clinicians. This update reviews selected advances in neuroimaging that demonstrate clinical relevance and translational potential in the assessment of severely brain-injured patients with DoC. RECENT FINDINGS Magnetic resonance imaging and high-density electroencephalography provide measurements of brain connectivity between functional networks, assessments of language function, detection of covert consciousness, and prognostic markers of recovery. Positron emission tomography can identify patients with preserved brain metabolism despite clinical unresponsiveness and can measure glucose consumption rates in targeted brain regions. Transcranial magnetic stimulation and near-infrared spectroscopy are noninvasive and practical tools with promising clinical applications. SUMMARY Each neuroimaging technique conveys advantages and pitfalls to assess consciousness. We recommend a multimodal approach in which complementary techniques provide diagnostic and prognostic information about brain function. Patients demonstrating neuroimaging evidence of covert consciousness may benefit from early adapted rehabilitation. Translating methodological advances to clinical care will require the implementation of recently published international guidelines and the integration of neuroimaging techniques into patient-centered decision-making algorithms.
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Affiliation(s)
- Leandro R. D. Sanz
- Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Aurore Thibaut
- Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Brian L. Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Steven Laureys
- Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
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19
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Treating Traumatic Brain Injuries with Electroceuticals: Implications for the Neuroanatomy of Consciousness. NEUROSCI 2021. [DOI: 10.3390/neurosci2030018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
According to the Centers for Disease Control and Prevention (CDC), traumatic brain injury (TBI) is the leading cause of loss of consciousness, long-term disability, and death in children and young adults (age 1 to 44). Currently, there are no United States Food and Drug Administration (FDA) approved pharmacological treatments for post-TBI regeneration and recovery, particularly related to permanent disability and level of consciousness. In some cases, long-term disorders of consciousness (DoC) exist, including the vegetative state/unresponsive wakefulness syndrome (VS/UWS) characterized by the exhibition of reflexive behaviors only or a minimally conscious state (MCS) with few purposeful movements and reflexive behaviors. Electroceuticals, including non-invasive brain stimulation (NIBS), vagus nerve stimulation (VNS), and deep brain stimulation (DBS) have proved efficacious in some patients with TBI and DoC. In this review, we examine how electroceuticals have improved our understanding of the neuroanatomy of consciousness. However, the level of improvements in general arousal or basic bodily and visual pursuit that constitute clinically meaningful recovery on the Coma Recovery Scale-Revised (CRS-R) remain undefined. Nevertheless, these advancements demonstrate the importance of the vagal nerve, thalamus, reticular activating system, and cortico-striatal-thalamic-cortical loop in the process of consciousness recovery.
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Therapies to Restore Consciousness in Patients with Severe Brain Injuries: A Gap Analysis and Future Directions. Neurocrit Care 2021; 35:68-85. [PMID: 34236624 PMCID: PMC8266715 DOI: 10.1007/s12028-021-01227-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 03/04/2021] [Indexed: 02/06/2023]
Abstract
Background/Objective For patients with disorders of consciousness (DoC) and their families, the search for new therapies has been a source of hope and frustration. Almost all clinical trials in patients with DoC have been limited by small sample sizes, lack of placebo groups, and use of heterogeneous outcome measures. As a result, few therapies have strong evidence to support their use; amantadine is the only therapy recommended by current clinical guidelines, specifically for patients with DoC caused by severe traumatic brain injury. To foster and advance development of consciousness-promoting therapies for patients with DoC, the Curing Coma Campaign convened a Coma Science Work Group to perform a gap analysis. Methods We consider five classes of therapies: (1) pharmacologic; (2) electromagnetic; (3) mechanical; (4) sensory; and (5) regenerative. For each class of therapy, we summarize the state of the science, identify gaps in knowledge, and suggest future directions for therapy development. Results Knowledge gaps in all five therapeutic classes can be attributed to the lack of: (1) a unifying conceptual framework for evaluating therapeutic mechanisms of action; (2) large-scale randomized controlled trials; and (3) pharmacodynamic biomarkers that measure subclinical therapeutic effects in early-phase trials. To address these gaps, we propose a precision medicine approach in which clinical trials selectively enroll patients based upon their physiological receptivity to targeted therapies, and therapeutic effects are measured by complementary behavioral, neuroimaging, and electrophysiologic endpoints. Conclusions This personalized approach can be realized through rigorous clinical trial design and international collaboration, both of which will be essential for advancing the development of new therapies and ultimately improving the lives of patients with DoC. Supplementary Information The online version contains supplementary material available at 10.1007/s12028-021-01227-y.
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21
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Abstract
PURPOSE OF REVIEW Recovery after severe brain injury is variable and challenging to accurately predict at the individual patient level. This review highlights new developments in clinical prognostication with a special focus on the prediction of consciousness and increasing reliance on methods from data science. RECENT FINDINGS Recent research has leveraged serum biomarkers, quantitative electroencephalography, MRI, and physiological time-series to build models for recovery prediction. The analysis of high-resolution data and the integration of features from different modalities can be approached with efficient computational techniques. SUMMARY Advances in neurophysiology and neuroimaging, in combination with computational methods, represent a novel paradigm for prediction of consciousness and functional recovery after severe brain injury. Research is needed to produce reliable, patient-level predictions that could meaningfully impact clinical decision making.
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22
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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: 236] [Impact Index Per Article: 78.7] [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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