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De Koninck BP, Brazeau D, Deshaies AA, Briand MM, Maschke C, Williams V, Arbour C, Williamson D, Duclos C, Bernard F, Blain-Moraes S, De Beaumont L. Modulation of brain activity in brain-injured patients with a disorder of consciousness in intensive care with repeated 10-Hz transcranial alternating current stimulation (tACS): a randomised controlled trial protocol. BMJ Open 2024; 14:e078281. [PMID: 38991682 PMCID: PMC11243138 DOI: 10.1136/bmjopen-2023-078281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2024] Open
Abstract
INTRODUCTION Therapeutic interventions for disorders of consciousness lack consistency; evidence supports non-invasive brain stimulation, but few studies assess neuromodulation in acute-to-subacute brain-injured patients. This study aims to validate the feasibility and assess the effect of a multi-session transcranial alternating current stimulation (tACS) intervention in subacute brain-injured patients on recovery of consciousness, related brain oscillations and brain network dynamics. METHODS AND ANALYSES The study is comprised of two phases: a validation phase (n=12) and a randomised controlled trial (n=138). Both phases will be conducted in medically stable brain-injured adult patients (traumatic brain injury and hypoxic-ischaemic encephalopathy), with a Glasgow Coma Scale score ≤12 after continuous sedation withdrawal. Recruitment will occur at the intensive care unit of a Level 1 Trauma Centre in Montreal, Quebec, Canada. The intervention includes a 20 min 10 Hz tACS at 1 mA intensity or a sham session over parieto-occipital cortical sites, repeated over five consecutive days. The current's frequency targets alpha brain oscillations (8-13 Hz), known to be associated with consciousness. Resting-state electroencephalogram (EEG) will be recorded four times daily for five consecutive days: pre and post-intervention, at 60 and 120 min post-tACS. Two additional recordings will be included: 24 hours and 1-week post-protocol. Multimodal measures (blood samples, pupillometry, behavioural consciousness assessments (Coma Recovery Scale-revised), actigraphy measures) will be acquired from baseline up to 1 week after the stimulation. EEG signal analysis will focus on the alpha bandwidth (8-13 Hz) using spectral and functional network analyses. Phone assessments at 3, 6 and 12 months post-tACS, will measure long-term functional recovery, quality of life and caregivers' burden. ETHICS AND DISSEMINATION Ethical approval for this study has been granted by the Research Ethics Board of the CIUSSS du Nord-de-l'Île-de-Montréal (Project ID 2021-2279). The findings of this two-phase study will be submitted for publication in a peer-reviewed academic journal and submitted for presentation at conferences. The trial's results will be published on a public trial registry database (ClinicalTrials.gov). TRIAL REGISTRATION NUMBER NCT05833568.
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Affiliation(s)
- Béatrice P De Koninck
- Psychology, University of Montreal, Montreal, Quebec, Canada
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
| | - Daphnee Brazeau
- Psychology, University of Montreal, Montreal, Quebec, Canada
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
| | | | - Marie-Michele Briand
- CIUSSS du Nord-de-l'Ile-de-Montreal, Montreal, Quebec, Canada
- IRDPQ, Montreal, Quebec, Canada
| | - Charlotte Maschke
- McGill University, Montreal, Quebec, Canada
- Montreal General Hospital, Montreal, Quebec, Canada
| | - Virginie Williams
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
| | - Caroline Arbour
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
- University of Montreal, Montreal, Quebec, Canada
| | | | - Catherine Duclos
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
- Anesthesiology and Pain Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Francis Bernard
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
- Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Stefanie Blain-Moraes
- Montreal General Hospital, Montreal, Quebec, Canada
- Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada
| | - Louis De Beaumont
- Research Center, Hopital du Sacre-Coeur de Montreal, Montreal, Quebec, Canada
- Surgery, University of Montreal, Montreal, Quebec, Canada
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Spaccavento S, Carraturo G, Brattico E, Matarrelli B, Rivolta D, Montenegro F, Picciola E, Haumann NT, Jespersen KV, Vuust P, Losavio E. Musical and electrical stimulation as intervention in disorder of consciousness (DOC) patients: A randomised cross-over trial. PLoS One 2024; 19:e0304642. [PMID: 38820520 PMCID: PMC11142721 DOI: 10.1371/journal.pone.0304642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 05/14/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND Disorders of consciousness (DOC), i.e., unresponsive wakefulness syndrome (UWS) or vegetative state (VS) and minimally conscious state (MCS), are conditions that can arise from severe brain injury, inducing widespread functional changes. Given the damaging implications resulting from these conditions, there is an increasing need for rehabilitation treatments aimed at enhancing the level of consciousness, the quality of life, and creating new recovery perspectives for the patients. Music may represent an additional rehabilitative tool in contexts where cognition and language are severely compromised, such as among DOC patients. A further type of rehabilitation strategies for DOC patients consists of Non-Invasive Brain Stimulation techniques (NIBS), including transcranial electrical stimulation (tES), affecting neural excitability and promoting brain plasticity. OBJECTIVE We here propose a novel rehabilitation protocol for DOC patients that combines music-based intervention and NIBS in neurological patients. The main objectives are (i) to assess the residual neuroplastic processes in DOC patients exposed to music, (ii) to determine the putative neural modulation and the clinical outcome in DOC patients of non-pharmacological strategies, i.e., tES(control condition), and music stimulation, and (iii) to evaluate the putative positive impact of this intervention on caregiver's burden and psychological distress. METHODS This is a randomised cross-over trial in which a total of 30 participants will be randomly allocated to one of three different combinations of conditions: (i) Music only, (ii) tES only (control condition), (iii) Music + tES. The music intervention will consist of listening to an individually tailored playlist including familiar and self-relevant music together with fixed songs; concerning NIBS, tES will be applied for 20 minutes every day, 5 times a week, for two weeks. After these stimulations two weeks of placebo treatments will follow, with sham stimulation combined with noise for other two weeks. The primary outcomes will be clinical, i.e., based on the differences in the scores obtained on the neuropsychological tests, such as Coma Recovery Scale-Revised, and neurophysiological measures as EEG, collected pre-intervention, post-intervention and post-placebo. DISCUSSION This study proposes a novel rehabilitation protocol for patients with DOC including a combined intervention of music and NIBS. Considering the need for rigorous longitudinal randomised controlled trials for people with severe brain injury disease, the results of this study will be highly informative for highlighting and implementing the putative beneficial role of music and NIBS in rehabilitation treatments. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT05706831, registered on January 30, 2023.
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Affiliation(s)
- Simona Spaccavento
- Istituti Clinici Scientifici Maugeri IRCCS, Institute of Bari, Bari, Italy
| | - Giulio Carraturo
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Elvira Brattico
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & Royal Academy of Aarhus/Aalborg, Aarhus, Denmark
| | - Benedetta Matarrelli
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Davide Rivolta
- Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - Fabiana Montenegro
- Istituti Clinici Scientifici Maugeri IRCCS, Institute of Bari, Bari, Italy
| | - Emilia Picciola
- Istituti Clinici Scientifici Maugeri IRCCS, Institute of Bari, Bari, Italy
| | - Niels Trusbak Haumann
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & Royal Academy of Aarhus/Aalborg, Aarhus, Denmark
| | - Kira Vibe Jespersen
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & Royal Academy of Aarhus/Aalborg, Aarhus, Denmark
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & Royal Academy of Aarhus/Aalborg, Aarhus, Denmark
| | - Ernesto Losavio
- Istituti Clinici Scientifici Maugeri IRCCS, Institute of Bari, Bari, Italy
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Casarotto S, Hassan G, Rosanova M, Sarasso S, Derchi CC, Trimarchi PD, Viganò A, Russo S, Fecchio M, Devalle G, Navarro J, Massimini M, Comanducci A. Dissociations between spontaneous electroencephalographic features and the perturbational complexity index in the minimally conscious state. Eur J Neurosci 2024; 59:934-947. [PMID: 38440949 DOI: 10.1111/ejn.16299] [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: 03/22/2023] [Revised: 12/21/2023] [Accepted: 02/13/2024] [Indexed: 03/06/2024]
Abstract
The analysis of spontaneous electroencephalogram (EEG) is a cornerstone in the assessment of patients with disorders of consciousness (DoC). Although preserved EEG patterns are highly suggestive of consciousness even in unresponsive patients, moderately or severely abnormal patterns are difficult to interpret. Indeed, growing evidence shows that consciousness can be present despite either large delta or reduced alpha activity in spontaneous EEG. Quantifying the complexity of EEG responses to direct cortical perturbations (perturbational complexity index [PCI]) may complement the observational approach and provide a reliable assessment of consciousness even when spontaneous EEG features are inconclusive. To seek empirical evidence of this hypothesis, we compared PCI with EEG spectral measures in the same population of minimally conscious state (MCS) patients (n = 40) hospitalized in rehabilitation facilities. We found a remarkable variability in spontaneous EEG features across MCS patients as compared with healthy controls: in particular, a pattern of predominant delta and highly reduced alpha power-more often observed in vegetative state/unresponsive wakefulness syndrome (VS/UWS) patients-was found in a non-negligible number of MCS patients. Conversely, PCI values invariably fell above an externally validated empirical cutoff for consciousness in all MCS patients, consistent with the presence of clearly discernible, albeit fleeting, behavioural signs of awareness. These results confirm that, in some MCS patients, spontaneous EEG rhythms may be inconclusive about the actual capacity for consciousness and suggest that a perturbational approach can effectively compensate for this pitfall with practical implications for the individual patient's stratification and tailored rehabilitation.
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Affiliation(s)
- Silvia Casarotto
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Gabriel Hassan
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Mario Rosanova
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Simone Sarasso
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | | | | | | | - Simone Russo
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Matteo Fecchio
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Guya Devalle
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Jorge Navarro
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Marcello Massimini
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Angela Comanducci
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
- Università Campus Bio-Medico di Roma, Rome, Italy
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Raveendran S, Kenchaiah R, Kumar S, Sahoo J, Farsana MK, Chowdary Mundlamuri R, Bansal S, Binu VS, Ramakrishnan AG, Ramakrishnan S, Kala S. Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness. Front Neurosci 2024; 18:1340528. [PMID: 38379759 PMCID: PMC10876804 DOI: 10.3389/fnins.2024.1340528] [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: 11/18/2023] [Accepted: 01/22/2024] [Indexed: 02/22/2024] Open
Abstract
Aberrant alterations in any of the two dimensions of consciousness, namely awareness and arousal, can lead to the emergence of disorders of consciousness (DOC). The development of DOC may arise from more severe or targeted lesions in the brain, resulting in widespread functional abnormalities. However, when it comes to classifying patients with disorders of consciousness, particularly utilizing resting-state electroencephalogram (EEG) signals through machine learning methods, several challenges surface. The non-stationarity and intricacy of EEG data present obstacles in understanding neuronal activities and achieving precise classification. To address these challenges, this study proposes variational mode decomposition (VMD) of EEG before feature extraction along with machine learning models. By decomposing preprocessed EEG signals into specified modes using VMD, features such as sample entropy, spectral entropy, kurtosis, and skewness are extracted across these modes. The study compares the performance of the features extracted from VMD-based approach with the frequency band-based approach and also the approach with features extracted from raw-EEG. The classification process involves binary classification between unresponsive wakefulness syndrome (UWS) and the minimally conscious state (MCS), as well as multi-class classification (coma vs. UWS vs. MCS). Kruskal-Wallis test was applied to determine the statistical significance of the features and features with a significance of p < 0.05 were chosen for a second round of classification experiments. Results indicate that the VMD-based features outperform the features of other two approaches, with the ensemble bagged tree (EBT) achieving the highest accuracy of 80.5% for multi-class classification (the best in the literature) and 86.7% for binary classification. This approach underscores the potential of integrating advanced signal processing techniques and machine learning in improving the classification of patients with disorders of consciousness, thereby enhancing patient care and facilitating informed treatment decision-making.
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Affiliation(s)
- Sreelakshmi Raveendran
- Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Kottayam, Kerala, India
| | | | - Santhos Kumar
- Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Kottayam, Kerala, India
| | - Jayakrushna Sahoo
- Department of Computer Science and Engineering, Indian Institute of Information Technology, Kottayam, Kerala, India
| | - M. K. Farsana
- Department of Neurology, NIMHANS, Bangalore, Karnataka, India
| | | | - Sonia Bansal
- Department of Neuroanaesthesia and Neurocritical Care, NIMHANS, Bangalore, Karnataka, India
| | - V. S. Binu
- Department of Biostatistics, NIMHANS, Bangalore, Karnataka, India
| | - A. G. Ramakrishnan
- Department of Electrical Engineering and Centre for Neuroscience, Indian Institute of Science, Bangalore, Karnataka, India
| | | | - S. Kala
- Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Kottayam, Kerala, India
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Yu F, Gao Y, Li F, Zhang X, Hu F, Jia W, Li X. Resting-state EEG microstates as electrophysiological biomarkers in post-stroke disorder of consciousness. Front Neurosci 2023; 17:1257511. [PMID: 37849891 PMCID: PMC10577186 DOI: 10.3389/fnins.2023.1257511] [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: 07/12/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction Ischemic stroke patients commonly experience disorder of consciousness (DOC), leading to poorer discharge outcomes and higher mortality risks. Therefore, the identification of applicable electrophysiological biomarkers is crucial for the rapid diagnosis and evaluation of post-stroke disorder of consciousness (PS-DOC), while providing supportive evidence for cerebral neurology. Methods In our study, we conduct microstate analysis on resting-state electroencephalography (EEG) of 28 post-stroke patients with awake consciousness and 28 patients with PS-DOC, calculating the temporal features of microstates. Furthermore, we extract the Lempel-Ziv complexity of microstate sequences and the delta/alpha power ratio of EEG on spectral. Statistical analysis is performed to examine the distinctions in features between the two groups, followed by inputting the distinctive features into a support vector machine for the classification of PS-DOC. Results Both groups obtain four optimal topographies of EEG microstates, but notable distinctions are observed in microstate C. Within the PS-DOC group, there is a significant increase in the mean duration and coverage of microstates B and C, whereas microstate D displays a contrasting trend. Additionally, noteworthy variations are found in the delta/alpha ratio and Lempel-Ziv complexity between the two groups. The integration of the delta/alpha ratio with microstates' temporal and Lempel-Ziv complexity features demonstrates the highest performance in the classifier (Accuracy = 91.07%). Discussion Our results suggest that EEG microstates can provide insights into the abnormal brain network dynamics in DOC patients post-stroke. Integrating the temporal and Lempel-Ziv complexity microstate features with spectral features offers a deeper understanding of the neuro mechanisms underlying brain damage in patients with DOC, holding promise as effective electrophysiological biomarkers for diagnosing PS-DOC.
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Affiliation(s)
- Fang Yu
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China
| | - Yanzhe Gao
- College of Life Sciences, Nankai University, Tianjin, China
| | - Fenglian Li
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China
| | - Xueying Zhang
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China
| | - Fengyun Hu
- The Fifth Clinical Medical College of Shanxi Medical University, Department of Neurology, Shanxi Provincial People’s Hospital, Taiyuan, China
| | - Wenhui Jia
- The Fifth Clinical Medical College of Shanxi Medical University, Department of Neurology, Shanxi Provincial People’s Hospital, Taiyuan, China
| | - Xiaohui Li
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China
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Hofmann A, Blum C, Single C, Adeyemi K, Schwarz P, Siokas V, Rattay TW, Häberle HA, Riessen R, Brendel B, Haug I, Bösel R, Zago M, Martus P, Ziemann U, Mengel A, Feil K. Amantadine for NeuroenhaNcement in acutE patients Study - a protocol for a prospective pilot proof of concept phase IIb study in intensive and intermediate care unit patients (ANNES). BMC Neurol 2023; 23:308. [PMID: 37608315 PMCID: PMC10464325 DOI: 10.1186/s12883-023-03345-w] [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: 04/03/2023] [Accepted: 07/27/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Persisting coma is a common complication in (neuro)intensive care in neurological disease such as acute ischemic stroke, intracerebral hemorrhage or subarachnoid hemorrhage. Amantadine acts as a nicotinic receptor antagonist, dopamine receptor agonist and non-competitive N-Methyl-D-aspartate receptor antagonist. Amantadine is a long-known drug, originally approved for treatment of influenza A and Parkinson`s Disease. It has been proven effective in improving vigilance after traumatic brain injury. The underlying mechanisms remain largely unknown, albeit anti-glutamatergic and dopaminergic effects might be most relevant. With limited evidence of amantadine efficacy in non-traumatic pathologies, the aim of our study is to assess the effects of amantadine for neuroenhancement in non-traumatic neurointensive patients with persisting coma. METHODS An investigator-initiated, monocenter, phase IIb proof of concept open-label pilot study will be carried out. Based on the Simon design, 43 adult (neuro)intensive care patients who meet the clinical criteria of persisting coma not otherwise explained and < 8 points on the Glasgow Coma Scale (GCS) will be recruited. Amantadine will be administered intravenously for five days at a dosage of 100 mg bid. The primary endpoint is an improvement of at least 3 points on the GCS. If participants present as non-responders (increase < 3 points or decrease on the GCS) within the first 48 h, the dosage will be doubled from day three to five. Secondary objectives aim to demonstrate that amantadine improves vigilance via alternative scales. Furthermore, the incidence of adverse events will be investigated and electroencephalography (EEG) will be recorded at baseline and end of treatment. DISCUSSION The results of our study will help to systematically assess the clinical utility of amantadine for treatment of persisting coma in non-traumatic brain injury. We expect that, in the face of only moderate treatment risk, a relevant number of patients will benefit from amantadine medication by improved vigilance (GCS increase of at least 3 points) finally leading to a better rehabilitation potential and improved functional neurological outcome. Further, the EEG data will allow evaluation of brain network states in relation to vigilance and potentially outcome prediction in this study cohort. TRIAL REGISTRATION NCT05479032.
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Affiliation(s)
- Anna Hofmann
- Department of Neurology/neurodegenerative diseases, University Hospital Tübingen, Tübingen, Germany
| | - Corinna Blum
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
| | - Constanze Single
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany.
| | - Kamal Adeyemi
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
| | - Patricia Schwarz
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
| | - Vasileios Siokas
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
- Department of Neurology, Faculty of Medicine, School of Health Sciences, University Hospital of Larissa, University of Thessaly, Larissa, 41100, Greece
| | - Tim W Rattay
- Department of Neurology/neurodegenerative diseases, University Hospital Tübingen, Tübingen, Germany
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
| | - Helene A Häberle
- Department of Anesthesiology and Intensive Care Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Reimer Riessen
- Department of Medicine, Medical Intensive Care Unit, University Hospital Tübingen, Tübingen, Germany
| | - Bettina Brendel
- Institute for Clinical Epidemiology and Applied Biometry, Faculty of Medicine, Eberhard-Karls- University Tübingen, Tübingen, Germany
| | - Iris Haug
- Institute for Clinical Epidemiology and Applied Biometry, Faculty of Medicine, Eberhard-Karls- University Tübingen, Tübingen, Germany
| | - Ruth Bösel
- Institute for Clinical Epidemiology and Applied Biometry, Faculty of Medicine, Eberhard-Karls- University Tübingen, Tübingen, Germany
| | - Manola Zago
- Center for Clinical Studies ZKS Tübingen, University Hospital Tübingen, Tübingen, Germany
| | - Peter Martus
- Institute for Clinical Epidemiology and Applied Biometry, Faculty of Medicine, Eberhard-Karls- University Tübingen, Tübingen, Germany
| | - Ulf Ziemann
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Annerose Mengel
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Katharina Feil
- Department of Neurology & Stroke, University Hospital Tübingen, Tübingen, Germany
- Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
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Candia-Rivera D, Machado C. Multidimensional assessment of heartbeat-evoked responses in disorders of consciousness. Eur J Neurosci 2023; 58:3098-3110. [PMID: 37382151 DOI: 10.1111/ejn.16079] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 06/01/2023] [Accepted: 06/12/2023] [Indexed: 06/30/2023]
Abstract
Because consciousness does not necessarily translate into overt behaviour, detecting residual consciousness in noncommunicating patients remains a challenge. Bedside diagnostic methods based on EEG are promising and cost-effective alternatives to detect residual consciousness. Recent evidence showed that the cortical activations triggered by each heartbeat, namely, heartbeat-evoked responses (HERs), can detect through machine learning the presence of minimal consciousness and distinguish between overt and covert minimal consciousness. In this study, we explore different markers to characterize HERs to investigate whether different dimensions of the neural responses to heartbeats provide complementary information that is not typically found under standard event-related potential analyses. We evaluated HERs and EEG average non-locked to heartbeats in six types of participants: healthy state, locked-in syndrome, minimally conscious state, vegetative state/unresponsive wakefulness syndrome, comatose and brain-dead patients. We computed a series of markers from HERs that can generally separate the unconscious from the conscious. Our findings indicate that HER variance and HER frontal segregation tend to be higher in the presence of consciousness. These indices, when combined with heart rate variability, have the potential to enhance the differentiation between different levels of awareness. We propose that a multidimensional evaluation of brain-heart interactions could be included in a battery of tests to characterize disorders of consciousness. Our results may motivate further exploration of markers in brain-heart communication for the detection of consciousness at the bedside. The development of diagnostic methods based on brain-heart interactions may be translated into more feasible methods for clinical practice.
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Affiliation(s)
- Diego Candia-Rivera
- Paris Brain Institute - ICM, CNRS, INRIA, INSERM, AP-HP, Hôpital Pitié Salpêtrière, Sorbonne Université, Paris, France
| | - Calixto Machado
- Department of Clinical Neurophysiology, Institute of Neurology and Neurosurgery, Havana, Cuba
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Liuzzi P, Hakiki B, Scarpino M, Burali R, Maiorelli A, Draghi F, Romoli AM, Grippo A, Cecchi F, Mannini A. Neural coding of autonomic functions in different states of consciousness. J Neuroeng Rehabil 2023; 20:96. [PMID: 37491259 PMCID: PMC10369699 DOI: 10.1186/s12984-023-01216-6] [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: 03/17/2023] [Accepted: 07/10/2023] [Indexed: 07/27/2023] Open
Abstract
Detecting signs of residual neural activity in patients with altered states of consciousness is a crucial issue for the customization of neurorehabilitation treatments and clinical decision-making. With this large observational prospective study, we propose an innovative approach to detect residual signs of consciousness via the assessment of the amount of autonomic information coded within the brain. The latter was estimated by computing the mutual information (MI) between preprocessed EEG and ECG signals, to be then compared across consciousness groups, together with the absolute power and an international qualitative labeling. One-hundred seventy-four patients (73 females, 42%) were included in the study (median age of 65 years [IQR = 20], MCS +: 29, MCS -: 23, UWS: 29). Electroencephalography (EEG) information content was found to be mostly related to the coding of electrocardiography (ECG) activity, i.e., with higher MI (p < 0.05), in Unresponsive Wakefulness Syndrome and Minimally Consciousness State minus (MCS -). EEG-ECG MI, besides clearly discriminating patients in an MCS - and +, significantly differed between lesioned areas (sides) in a subgroup of unilateral hemorrhagic patients. Crucially, such an accessible and non-invasive measure of residual consciousness signs was robust across electrodes and patient groups. Consequently, exiting from a strictly neuro-centric consciousness detection approach may be the key to provide complementary insights for the objective assessment of patients' consciousness levels and for the patient-specific planning of rehabilitative interventions.
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Affiliation(s)
- Piergiuseppe Liuzzi
- Sant’Anna School of Advanced Studies, The BioRobotics Institute, Viale Rinaldo Piaggio 69, 56025 Pontedera, PI Italy
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Bahia Hakiki
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Maenia Scarpino
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Rachele Burali
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Antonio Maiorelli
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Francesca Draghi
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Anna Maria Romoli
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Antonello Grippo
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
| | - Francesca Cecchi
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
- Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, 50143 Florence, FI Italy
| | - Andrea Mannini
- IRCSS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, FI 50143 Florence, Italy
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Chernii TV, Cherniy VI, Fokina DО. IMPLEMENTATION OF QUANTITATIVE ELECTROENCEPHALOGRAPHY TO IMPROVE EFFICACY OF DIAGNOSIS AND TREATMENT MANAGEMENT OF CHRONIC CEREBRAL ISCHEMIA. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2022; 75:2565-2568. [PMID: 36591732 DOI: 10.36740/wlek202211101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The aim: To improve the effectiveness of diagnosis and treatment of chronic cerebral ischemia through the use of quantitative electroencephalography in civil servants on the outpatient and hospital stage. PATIENTS AND METHODS Materials and methods: A total of 150 patients (59 males and 91 females) aged from 40 to 69 years were examined. The patients were divided into three groups statistically correlated with the main disease - chronic cerebral ischemia (CCI), degree of severity - CCI level 2, age and statistical status. Registration of brain biopotentials was performed using a computerized electroencephalograph of «TredexExpert» series. The total spectral power capacity - ASP (μV/√Hz), relative power capacity - RSP (%) were studied in the investigated frequency ranges. RESULTS Results: The study of three groups of patients with CCI of different genesis, an increase in ASP of all studied ranges, but of varying degrees of severity, was found: first, delta and theta ranges, then beta ranges, and finally, to a lesser extent, ASP of the alpha1 range and alphaS range. Therefore, the RSP of alpha1- and alphaS-bands significantly decreased in all studied groups. CONCLUSION Conclusions: 1. In all studied groups, the relative spectral power of the alpha 1 and alphaS bands decreased significantly. An increase in the relative spectral power of the beta-frequency rhythm in all leads was established. 2. The identified neurophysiological differences in the formation and course of dyscirculatory encephalopathy of various genesis are used to monitor the effectiveness of treatment of chronic brain ischemia.
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Affiliation(s)
- Tatiana V Chernii
- STATE INSTITUTION OF SCIENCE «RESEARCH AND PRACTICAL CENTER OF PREVENTIVE AND CLINICAL MEDICINE» STATE ADMINISTRATIVE DEPARTMENT, KYIV, UKRAINE
| | - Volodymyr I Cherniy
- STATE INSTITUTION OF SCIENCE «RESEARCH AND PRACTICAL CENTER OF PREVENTIVE AND CLINICAL MEDICINE» STATE ADMINISTRATIVE DEPARTMENT, KYIV, UKRAINE
| | - Daria О Fokina
- STATE INSTITUTION OF SCIENCE «RESEARCH AND PRACTICAL CENTER OF PREVENTIVE AND CLINICAL MEDICINE» STATE ADMINISTRATIVE DEPARTMENT, KYIV, UKRAINE
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