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Díaz-Peregrino R, Kentar M, Trenado C, Sánchez-Porras R, Albiña-Palmarola P, Ramírez-Cuapio FL, San-Juan D, Unterberg A, Woitzik J, Santos E. The neurophysiological effect of mild hypothermia in gyrencephalic brains submitted to ischemic stroke and spreading depolarizations. Front Neurosci 2024; 18:1302767. [PMID: 38567280 PMCID: PMC10986791 DOI: 10.3389/fnins.2024.1302767] [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: 09/27/2023] [Accepted: 02/22/2024] [Indexed: 04/04/2024] Open
Abstract
Objective Characterize the neurophysiological effects of mild hypothermia on stroke and spreading depolarizations (SDs) in gyrencephalic brains. Methods Left middle cerebral arteries (MCAs) of six hypothermic and six normothermic pigs were permanently occluded (MCAo). Hypothermia began 1 h after MCAo and continued throughout the experiment. ECoG signals from both frontoparietal cortices were recorded. Five-minute ECoG epochs were collected 5 min before, at 5 min, 4, 8, 12, and 16 h after MCAo, and before, during, and after SDs. Power spectra were decomposed into fast (alpha, beta, and gamma) and slow (delta and theta) frequency bands. Results In the vascular insulted hemisphere under normothermia, electrodes near the ischemic core exhibited power decay across all frequency bands at 5 min and the 4th hour after MCAo. The same pattern was registered in the two furthest electrodes at the 12th and 16th hour. When mild hypothermia was applied in the vascular insulted hemispheres, the power decay was generalized and seen even in electrodes with uncompromised blood flow. During SD analysis, hypothermia maintained increased delta and beta power during the three phases of SDs in the furthest electrode from the ischemic core, followed by the second furthest and third electrode in the beta band during preSD and postSD segments. However, in hypothermic conditions, the third electrode showed lower delta, theta, and alpha power. Conclusion Mild hypothermia attenuates all frequency bands in the vascularly compromised hemisphere, irrespective of the cortical location. During SD formation, it preserves power spectra more significantly in electrodes further from the ischemic core.
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Affiliation(s)
- Roberto Díaz-Peregrino
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Modar Kentar
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
- Departement of Neurosurgery, Städtisches Klinikum Braunschweig gGmbH, Braunschweig, Germany
| | - Carlos Trenado
- Heinrich Heine University, Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Düsseldorf, Germany
- Institute for the Future of Education Europe, Tecnológico de Monterrey, Cantabria, Spain
| | - Renán Sánchez-Porras
- Department of Neurosurgery, Evangelisches Krankenhaus, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Pablo Albiña-Palmarola
- Neuroradiologische Klinik, Klinikum Stuttgart, Stuttgart, Germany
- Medizinische Fakultät, Universität Duisburg-Essen, Essen, Germany
- Department of Anatomy, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Francisco L. Ramírez-Cuapio
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Daniel San-Juan
- Epilepsy Clinic, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico
| | - Andreas Unterberg
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Evangelisches Krankenhaus, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Edgar Santos
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
- Department of Neurosurgery, Evangelisches Krankenhaus, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
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Song J, Westover MB, Zhang R. A neural mass model for disturbance of alpha rhythm in the minimal hepatic encephalopathy. Mol Cell Neurosci 2024; 128:103918. [PMID: 38296121 DOI: 10.1016/j.mcn.2024.103918] [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: 11/27/2023] [Revised: 01/18/2024] [Accepted: 01/21/2024] [Indexed: 02/13/2024] Open
Abstract
One of the early markers of minimal hepatic encephalopathy (MHE) is the disruption of alpha rhythm observed in electroencephalogram (EEG) signals. However, the underlying mechanisms responsible for this occurrence remain poorly understood. To address this gap, we develop a novel biophysical model MHE-AWD-NCM, encompassing the communication dynamics between a cortical neuron population (CNP) and an astrocyte population (AP), aimed at investigating the relationship between alpha wave disturbance (AWD) and mechanistical principles, specifically concerning astrocyte-neuronal communication in the context of MHE. In addition, we introduce the concepts of peak power density and peak frequency within the alpha band as quantitative measures of AWD. Our model faithfully reproduces the characteristic EEG phenomenology during MHE and shows how impairments of communication between CNP and AP could promote AWD. The results suggest that the disruptions in feedback neurotransmission from AP to CNP, along with the inhibition of GABA uptake by AP from the extracellular space, contribute to the observed AWD. Moreover, we found that the variation of external excitatory stimuli on CNP may play a key role in AWD in MHE. Finally, the sensitivity analysis is also performed to assess the relative significance of above factors in influencing AWD. Our findings align with the physiological observations and provide a more comprehensive understanding of the complex interplay of astrocyte-neuronal communication that underlies the AWD observed in MHE, which potentially may help to explore the targeted therapeutic interventions for the early stage of hepatic encephalopathy.
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Affiliation(s)
- Jiangling Song
- The Medical Big Data Research Center, Northwest University, Xi'an, China
| | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Rui Zhang
- The Medical Big Data Research Center, Northwest University, Xi'an, China.
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Dutta S, Iyer KK, Vanhatalo S, Breakspear M, Roberts JA. Mechanisms underlying pathological cortical bursts during metabolic depletion. Nat Commun 2023; 14:4792. [PMID: 37553358 PMCID: PMC10409751 DOI: 10.1038/s41467-023-40437-0] [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: 03/08/2022] [Accepted: 07/27/2023] [Indexed: 08/10/2023] Open
Abstract
Cortical activity depends upon a continuous supply of oxygen and other metabolic resources. Perinatal disruption of oxygen availability is a common clinical scenario in neonatal intensive care units, and a leading cause of lifelong disability. Pathological patterns of brain activity including burst suppression and seizures are a hallmark of the recovery period, yet the mechanisms by which these patterns arise remain poorly understood. Here, we use computational modeling of coupled metabolic-neuronal activity to explore the mechanisms by which oxygen depletion generates pathological brain activity. We find that restricting oxygen supply drives transitions from normal activity to several pathological activity patterns (isoelectric, burst suppression, and seizures), depending on the potassium supply. Trajectories through parameter space track key features of clinical electrophysiology recordings and reveal how infants with good recovery outcomes track toward normal parameter values, whereas the parameter values for infants with poor outcomes dwell around the pathological values. These findings open avenues for studying and monitoring the metabolically challenged infant brain, and deepen our understanding of the link between neuronal and metabolic activity.
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Affiliation(s)
- Shrey Dutta
- Brain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
- School of Psychological Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia.
| | - Kartik K Iyer
- Brain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Sampsa Vanhatalo
- Pediatric Research Center, Department of Physiology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Michael Breakspear
- School of Psychological Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia
- School of Medicine and Public Health, College of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia
| | - James A Roberts
- Brain Modelling Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
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4
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Kentar M, Díaz-Peregrino R, Trenado C, Sánchez-Porras R, San-Juan D, Ramírez-Cuapio FL, Holzwarth N, Maier-Hein L, Woitzik J, Santos E. Spatial and temporal frequency band changes during infarct induction, infarct progression, and spreading depolarizations in the gyrencephalic brain. Front Neurosci 2022; 16:1025967. [PMID: 36570832 PMCID: PMC9769704 DOI: 10.3389/fnins.2022.1025967] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/18/2022] [Indexed: 12/07/2022] Open
Abstract
Aim To describe the spatial and temporal electrocorticographic (ECoG) changes after middle cerebral artery occlusion (MCAo), including those caused by spreading depolarization (SD) in the pig brain. Methods The left middle cerebral arteries (MCAs) were clipped in six pigs. The clipping procedure lasted between 8 and 12 min, achieving a permanent occlusion (MCAo). Five-contact ECoG stripes were placed bilaterally over the frontoparietal cortices corresponding to the irrigation territory of the MCA and anterior cerebral artery (ACA). ECoG recordings were performed around 24 h: 1 h before and 23 h after the MCAo, and SDs were quantified. Five-minute ECoG signal segments were sampled before, 5 min, and 4, 8, and 12 h after cerebral artery occlusion and before, during, and after the negative direct current shift of the SDs. The power spectrum of the signals was decomposed into delta, theta, alpha, beta, and gamma bands. Descriptive statistics, Wilcoxon matched-pairs signed-rank tests, and Friedman tests were performed. Results Electrodes close to the MCAo showed instant decay in all frequency bands and SD onset during the first 5 h. Electrodes far from the MCAo exhibited immediate loss of fast frequencies and progressive decline of slow frequencies with an increased SD incidence between 6 and 14 h. After 8 h, the ACA electrode reported a secondary reduction of all frequency bands except gamma and high SD incidence within 12-17 h. During the SD, all electrodes showed a decline in all frequency bands. After SD passage, frequency band recovery was impaired only in MCA electrodes. Conclusion ECoG can identify infarct progression and secondary brain injury. Severe disturbances in all the frequency bands are generated in the cortices where the SDs are passing by.
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Affiliation(s)
- Modar Kentar
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Roberto Díaz-Peregrino
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Carlos Trenado
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Renán Sánchez-Porras
- Department of Neurosurgery, Evangelisches Krankenhaus, Carl-von-Ossietzky University, Oldenburg, Germany
| | - Daniel San-Juan
- Epilepsy Clinic, National Institute of Neurology and Neurosurgery, Manuel Velasco Suárez, Mexico City, Mexico
| | - F. Leonardo Ramírez-Cuapio
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Niklas Holzwarth
- Division of Intelligent Medical Systems, German Cancer Research Center, Heidelberg, Germany
| | - Lena Maier-Hein
- Division of Intelligent Medical Systems, German Cancer Research Center, Heidelberg, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Evangelisches Krankenhaus, Carl-von-Ossietzky University, Oldenburg, Germany
| | - Edgar Santos
- Department of Neurosurgery, University Hospital Heidelberg, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany,Department of Neurosurgery, Evangelisches Krankenhaus, Carl-von-Ossietzky University, Oldenburg, Germany,*Correspondence: Edgar Santos,
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5
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A pilot on intelligence fusion for anesthesia depth prediction during surgery using frontal cortex neural oscillations. BIOMEDICAL ENGINEERING ADVANCES 2022. [DOI: 10.1016/j.bea.2022.100051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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6
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Sirmpilatze N, Mylius J, Ortiz-Rios M, Baudewig J, Paasonen J, Golkowski D, Ranft A, Ilg R, Gröhn O, Boretius S. Spatial signatures of anesthesia-induced burst-suppression differ between primates and rodents. eLife 2022; 11:e74813. [PMID: 35607889 PMCID: PMC9129882 DOI: 10.7554/elife.74813] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 05/01/2022] [Indexed: 01/19/2023] Open
Abstract
During deep anesthesia, the electroencephalographic (EEG) signal of the brain alternates between bursts of activity and periods of relative silence (suppressions). The origin of burst-suppression and its distribution across the brain remain matters of debate. In this work, we used functional magnetic resonance imaging (fMRI) to map the brain areas involved in anesthesia-induced burst-suppression across four mammalian species: humans, long-tailed macaques, common marmosets, and rats. At first, we determined the fMRI signatures of burst-suppression in human EEG-fMRI data. Applying this method to animal fMRI datasets, we found distinct burst-suppression signatures in all species. The burst-suppression maps revealed a marked inter-species difference: in rats, the entire neocortex engaged in burst-suppression, while in primates most sensory areas were excluded-predominantly the primary visual cortex. We anticipate that the identified species-specific fMRI signatures and whole-brain maps will guide future targeted studies investigating the cellular and molecular mechanisms of burst-suppression in unconscious states.
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Affiliation(s)
- Nikoloz Sirmpilatze
- Functional Imaging Laboratory, German Primate Center – Leibniz Institute for Primate ResearchGöttingenGermany
- Georg-August University of GöttingenGöttingenGermany
- International Max Planck Research School for NeurosciencesGöttingenGermany
| | - Judith Mylius
- Functional Imaging Laboratory, German Primate Center – Leibniz Institute for Primate ResearchGöttingenGermany
| | - Michael Ortiz-Rios
- Functional Imaging Laboratory, German Primate Center – Leibniz Institute for Primate ResearchGöttingenGermany
| | - Jürgen Baudewig
- Functional Imaging Laboratory, German Primate Center – Leibniz Institute for Primate ResearchGöttingenGermany
| | - Jaakko Paasonen
- A.I.V. Institute for Molecular Sciences, University of Eastern FinlandKuopioFinland
| | - Daniel Golkowski
- Department of Neurology, Klinikum Rechts der Isar der Technischen Universität MünchenMunichGermany
- Department of Neurology, Heidelberg University HospitalHeidelbergGermany
| | - Andreas Ranft
- Department of Anesthesiology and Intensive Care Medicine, Klinikum Rechts der Isar der Technischen Universität MünchenMunichGermany
| | - Rüdiger Ilg
- Department of Neurology, Klinikum Rechts der Isar der Technischen Universität MünchenMunichGermany
- Department of Neurology, Asklepios Stadtklinik Bad TölzBad TölzGermany
| | - Olli Gröhn
- A.I.V. Institute for Molecular Sciences, University of Eastern FinlandKuopioFinland
| | - Susann Boretius
- Functional Imaging Laboratory, German Primate Center – Leibniz Institute for Primate ResearchGöttingenGermany
- Georg-August University of GöttingenGöttingenGermany
- International Max Planck Research School for NeurosciencesGöttingenGermany
- Leibniz Science Campus Primate CognitionGöttingenGermany
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7
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Gui S, Li J, Li M, Shi L, Lu J, Shen S, Li P, Mei W. Revealing the Cortical Glutamatergic Neural Activity During Burst Suppression by Simultaneous wide Field Calcium Imaging and Electroencephalography in Mice. Neuroscience 2021; 469:110-124. [PMID: 34237388 DOI: 10.1016/j.neuroscience.2021.06.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 06/26/2021] [Accepted: 06/28/2021] [Indexed: 10/20/2022]
Abstract
Burst suppression (BS) is an electroencephalogram (EEG) pattern in which signals alternates between high-amplitude slow waves (burst waves) and nearly flat low-amplitude waves (suppression waves). In this study, we used wide-field (8.32 mm × 8.32 mm) fluorescent calcium imaging to record the activity of glutamatergic neurons in the parietal and occipital cortex, in conjunction with EEG recordings under BS induced by different anesthetics (sevoflurane, isoflurane, and propofol), to investigate the spatiotemporal pattern of neural activity under BS. The calcium signal of all observed cortices was decreased during the phase of EEG suppression. However, during the phase of EEG burst, the calcium signal in areas of the medial cortex, such as the secondary motor and retrosplenial area, was excited, whereas the signal in areas of the lateral cortex, such as the hindlimb cortex, forelimb cortex, barrel field, and primary visual area, was still suppressed or only weakly excited. Correlation analysis showed a strong correlation between the EEG signal and the calcium signal in the medial cortex under BS (except for propofol induced signals). As the burst-suppression ratio (BSR) increased, the regions with strong correlation coefficients became smaller, but strong correlation coefficients were still noted in the medial cortex. Taken together, our results reveal the landscape of cortical activity underlying BS.
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Affiliation(s)
- Shen Gui
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jiayan Li
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Miaowen Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Liang Shi
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Jinling Lu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Shiqian Shen
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital/Harvard Medical School, 55 Fruit St, Boston, MA 02121, United States
| | - Pengcheng Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; HUST-Suzhou Institute for Brainsmatics, Suzhou, Jiangsu 215125, China.
| | - Wei Mei
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Ming Q, Liou JY, Yang F, Li J, Chu C, Zhou Q, Wu D, Xu S, Luo P, Liang J, Li D, Pryor KO, Lin W, Schwartz TH, Ma H. Isoflurane-Induced Burst Suppression Is a Thalamus-Modulated, Focal-Onset Rhythm With Persistent Local Asynchrony and Variable Propagation Patterns in Rats. Front Syst Neurosci 2021; 14:599781. [PMID: 33510621 PMCID: PMC7835516 DOI: 10.3389/fnsys.2020.599781] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/14/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Inhalational anesthetic-induced burst suppression (BS) is classically considered a bilaterally synchronous rhythm. However, local asynchrony has been predicted in theoretical studies and reported in patients with pre-existing focal pathology. Method: We used high-speed widefield calcium imaging to study the spatiotemporal dynamics of isoflurane-induced BS in rats. Results: We found that isoflurane-induced BS is not a globally synchronous rhythm. In the neocortex, neural activity first emerged in a spatially shifting, variably localized focus. Subsequent propagation across the whole cortex was rapid, typically within <100 milliseconds, giving the superficial resemblance to global synchrony. Neural activity remained locally asynchronous during the bursts, forming complex recurrent propagating waves. Despite propagation variability, spatial sequences of burst propagation were largely preserved between the hemispheres, and neural activity was highly correlated between the homotopic areas. The critical role of the thalamus in cortical burst initiation was demonstrated by using unilateral thalamic tetrodotoxin injection. Conclusion: The classical impression that anesthetics-induced BS is a state of global brain synchrony is inaccurate. Bursts are a series of shifting local cortical events facilitated by thalamic projection that unfold as rapid, bilaterally asynchronous propagating waves.
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Affiliation(s)
- Qianwen Ming
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Jyun-You Liou
- Department of Anesthesiology, New York-Presbyterian Hospital/Weill Cornell Medicine, New York, NY, United States
| | - Fan Yang
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Jing Li
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Chaojia Chu
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Qingchen Zhou
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Dan Wu
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Shujia Xu
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Peijuan Luo
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Jianmin Liang
- Department of Pediatrics, The First Hospital of Jilin University, Changchun, China
| | - Dan Li
- Department of Radiology, The First Hospital of Jilin University, Changchun, China
| | - Kane O Pryor
- Department of Anesthesiology, New York-Presbyterian Hospital/Weill Cornell Medicine, New York, NY, United States
| | - Weihong Lin
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Theodore H Schwartz
- Department of Neurological Surgery and Brain and Mind Research Institute, Weill Cornell Medicine of Cornell University, NewYork-Presbyterian Hospital, New York, NY, United States
| | - Hongtao Ma
- Department of Neurology, The First Hospital of Jilin University, Changchun, China.,Department of Neurological Surgery and Brain and Mind Research Institute, Weill Cornell Medicine of Cornell University, NewYork-Presbyterian Hospital, New York, NY, United States
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9
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Shirani F. Transient neocortical gamma oscillations induced by neuronal response modulation. J Comput Neurosci 2020; 48:103-122. [PMID: 31989403 DOI: 10.1007/s10827-019-00738-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 11/04/2019] [Accepted: 12/04/2019] [Indexed: 10/25/2022]
Abstract
In this paper a mean field model of spatio-temporal electroencephalographic activity in the neocortex is used to computationally study the emergence of neocortical gamma oscillations as a result of neuronal response modulation. It is shown using a numerical bifurcation analysis that gamma oscillations emerge robustly in the solutions of the model and transition to beta oscillations through coordinated modulation of the responsiveness of inhibitory and excitatory neuronal populations. The spatio-temporal pattern of the propagation of these oscillations across the neocortex is illustrated by solving the equations of the model using a finite element software package. Thereby, it is shown that the gamma oscillations remain localized to the regions of neuronal modulation. Moreover, it is discussed that the inherent spatial averaging effect of commonly used electrocortical measurement techniques can significantly alter the amplitude and pattern of fast oscillations in neocortical recordings, and hence can potentially affect physiological interpretations of these recordings.
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Affiliation(s)
- Farshad Shirani
- Department of Mathematics and Statistics, Georgetown University, Washington, DC, 20057, USA.
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10
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Song JL, Paixao L, Li Q, Li SH, Zhang R, Westover MB. A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy. J Comput Neurosci 2019; 47:109-124. [PMID: 31506807 PMCID: PMC6881550 DOI: 10.1007/s10827-019-00727-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 08/12/2019] [Accepted: 08/19/2019] [Indexed: 01/13/2023]
Abstract
Acute hepatic encephalopathy (AHE) due to acute liver failure is a common form of delirium, a state of confusion, impaired attention, and decreased arousal. The electroencephalogram (EEG) in AHE often exhibits a striking abnormal pattern of brain activity, which epileptiform discharges repeat in a regular repeating pattern. This pattern is known as generalized periodic discharges, or triphasic-waves (TPWs). While much is known about the neurophysiological mechanisms underlying AHE, how these mechanisms relate to TPWs is poorly understood. In order to develop hypotheses how TPWs arise, our work builds a computational model of AHE (AHE-CM), based on three modifications of the well-studied Liley model which emulate mechanisms believed central to brain dysfunction in AHE: increased neuronal excitability, impaired synaptic transmission, and enhanced postsynaptic inhibition. To relate our AHE-CM to clinical EEG data from patients with AHE, we design a model parameter optimization method based on particle filtering (PF-POM). Based on results from 7 AHE patients, we find that the proposed AHE-CM not only performs well in reproducing important aspects of the EEG, namely the periodicity of triphasic waves (TPWs), but is also helpful in suggesting mechanisms underlying variation in EEG patterns seen in AHE. In particular, our model helps explain what conditions lead to increased frequency of TPWs. In this way, our model represents a starting point for exploring the underlying mechanisms of brain dynamics in delirium by relating microscopic mechanisms to EEG patterns.
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Affiliation(s)
- Jiang-Ling Song
- The Medical Big Data Research Center, Northwest University, Xi'an, 710127, China
- The Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Luis Paixao
- The Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Qiang Li
- The Medical Big Data Research Center, Northwest University, Xi'an, 710127, China
| | - Si-Hui Li
- The Medical Big Data Research Center, Northwest University, Xi'an, 710127, China
| | - Rui Zhang
- The Medical Big Data Research Center, Northwest University, Xi'an, 710127, China
| | - M Brandon Westover
- The Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
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11
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A Computational Study of a Spatiotemporal Mean Field Model Capturing the Emergence of Alpha and Gamma Rhythmic Activity in the Neocortex. Symmetry (Basel) 2018. [DOI: 10.3390/sym10110568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
In this paper, we analyze the spatiotemporal mean field model developed by Liley et al. in order to advance our understanding of the wide effects of pharmacological agents and anesthetics. Specifically, we use the spatiotemporal mean field model for capturing the electrical activity in the neocortex to computationally study the emergence of α - and γ -band rhythmic activity in the brain. We show that α oscillations in the solutions of the model appear globally across the neocortex, whereas γ oscillations can emerge locally as a result of a bifurcation in the dynamics of the model. We solve the dynamic equations of the model using a finite element solver package and show that our results verify the predictions made by bifurcation analysis.
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Ruijter B, Hofmeijer J, Meijer H, van Putten M. Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy: A computational study. Clin Neurophysiol 2017; 128:1682-1695. [PMID: 28753456 DOI: 10.1016/j.clinph.2017.06.245] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 05/02/2017] [Accepted: 06/15/2017] [Indexed: 01/01/2023]
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13
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Dynamic models of large-scale brain activity. Nat Neurosci 2017; 20:340-352. [PMID: 28230845 DOI: 10.1038/nn.4497] [Citation(s) in RCA: 488] [Impact Index Per Article: 69.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 01/06/2017] [Indexed: 12/14/2022]
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14
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Moldovan M, Calin A, Kumaraswamy VM, Braver D, Simon MV. Burst-Suppression Ratio on Electrocorticography Depends on Interelectrode Distance. J Clin Neurophysiol 2017; 33:127-32. [PMID: 26690549 DOI: 10.1097/wnp.0000000000000248] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
INTRODUCTION With deepening of anesthesia-induced comatose states, the EEG becomes fragmented by increasing periods of suppression. When measured from conventional EEG recordings, the binary burst-suppression signal (BS) appears similar across the scalp. As such, the BS ratio (BSR), quantifying the fraction of time spent in suppression, is clinically considered a global index of brain function in sedation monitoring. Recent studies indicate that BS may be considerably asynchronous when measured with higher spatial resolution such as on electrocorticography. The authors investigated the magnitude of BSR changes with cortical recording interelectrode distance. METHODS The authors selected fronto-parietal electrocorticography recordings showing propofol-induced BS recorded via 8-electrode strips (1-cm interelectrode distance) during cortical motor mapping in 31 patients. For 1-minute epochs, bipolar recordings were computed between each electrode pair. The median BSR, burst duration (BD), and bursting frequency were derived for each interelectrode distance. RESULTS At 1-cm interelectrode distance, with increasing BSR, BD decreased exponentially. For a BSR between 50% and 80%, BD reached a plateau of 2.1 seconds while the bursting frequency decreased from 14 to 6 bursts per minute. With increasing interelectrode distance, BD increased at a rate of 0.2 seconds per cm. This correlated with a decrease in BSR with distance that reached the rate of -4.4 percentage per centimeters during deepest anesthesia. CONCLUSIONS With increasing cortical interelectrode recording distance, burst summation leads to an increasing BD associated with a reduction in BSR. Standardization of interelectrode distance is important for cortical BSR measurements.
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Affiliation(s)
- Mihai Moldovan
- *Division of Physiology and Neuroscience, Department of Functional Sciences, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania; †Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark; ‡Intraoperative Neurophysiology Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; §Department of Pharmacology, University of Oxford, Oxford, United Kingdom; and ‖Department of Neurology, University Hospitals Case Medical Center, Cleveland, Ohio
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Liu S, Ching S. Homeostatic dynamics, hysteresis and synchronization in a low-dimensional model of burst suppression. J Math Biol 2016; 74:1011-1035. [PMID: 27549764 DOI: 10.1007/s00285-016-1048-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Revised: 05/03/2016] [Indexed: 01/24/2023]
Abstract
Burst suppression, a pattern of the electroencephalogram characterized by quasi-periodic alternation of high-voltage activity (burst) and isoelectric silence (suppression), is typically associated with states of unconsciousness, such as in deep general anesthesia and certain etiologies of coma. Recent computational models for burst suppression have attributed the slow (up to tens of seconds) time-scale of burst termination and re-initiation to cycling in supportive physiological process, such as cerebral metabolism. That is, activity-dependent substrate ('energy') depletion during bursts, followed by substrate recovery during suppression. Such a model falls into the category of a fast-slow dynamical system, commonly used to describe neuronal bursting more generally. Here, following this basic paradigm, we develop a low dimensional mean field model for burst suppression that adds several new features and capabilities to previous models. Most notably, this new model includes explicit homeostatic interactions wherein the rates of substrate recovery are tied to neuronal activity in a supply demand loop, creating a physiologically consistent, reciprocal interaction between the neural and substrate processes. We develop formal analysis of the model dynamics, showing, in particular, the capability of the model to produce burst-like activity as a consequence of neuronal downregulation only, without any direct perturbation to the substrate dynamics. Further, we use a synchronization analysis to contrast different mechanisms for spatially local versus global bursting. The analysis performed generates characterizations that are consistent with experimental observations of spatiotemporal features such as burst onset, duration, and spatial organization and, moreover, generates predictions regarding the presence of bistability and hysteresis in the underlying system. Thus, the model provides new dynamical insight into the mechanisms of burst suppression and, moreover, a tractable platform for more detailed future characterizations.
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Affiliation(s)
- Sensen Liu
- Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - ShiNung Ching
- Department of Electrical and Systems Engineering, Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA.
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Kuhlmann L, Manton JH, Heyse B, Vereecke HEM, Lipping T, Struys MMRF, Liley DTJ. Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring. IEEE Trans Biomed Eng 2016; 64:870-881. [PMID: 27323352 DOI: 10.1109/tbme.2016.2562261] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Tracking brain states with electrophysiological measurements often relies on short-term averages of extracted features and this may not adequately capture the variability of brain dynamics. The objective is to assess the hypotheses that this can be overcome by tracking distributions of linear models using anesthesia data, and that anesthetic brain state tracking performance of linear models is comparable to that of a high performing depth of anesthesia monitoring feature. METHODS Individuals' brain states are classified by comparing the distribution of linear (auto-regressive moving average-ARMA) model parameters estimated from electroencephalographic (EEG) data obtained with a sliding window to distributions of linear model parameters for each brain state. The method is applied to frontal EEG data from 15 subjects undergoing propofol anesthesia and classified by the observers assessment of alertness/sedation (OAA/S) scale. Classification of the OAA/S score was performed using distributions of either ARMA parameters or the benchmark feature, Higuchi fractal dimension. RESULTS The highest average testing sensitivity of 59% (chance sensitivity: 17%) was found for ARMA (2,1) models and Higuchi fractal dimension achieved 52%, however, no statistical difference was observed. For the same ARMA case, there was no statistical difference if medians are used instead of distributions (sensitivity: 56%). CONCLUSION The model-based distribution approach is not necessarily more effective than a median/short-term average approach, however, it performs well compared with a distribution approach based on a high performing anesthesia monitoring measure. SIGNIFICANCE These techniques hold potential for anesthesia monitoring and may be generally applicable for tracking brain states.
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Lissek T, Obenhaus HA, Ditzel DAW, Nagai T, Miyawaki A, Sprengel R, Hasan MT. General Anesthetic Conditions Induce Network Synchrony and Disrupt Sensory Processing in the Cortex. Front Cell Neurosci 2016; 10:64. [PMID: 27147963 PMCID: PMC4830828 DOI: 10.3389/fncel.2016.00064] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 02/29/2016] [Indexed: 12/19/2022] Open
Abstract
General anesthetics are commonly used in animal models to study how sensory signals are represented in the brain. Here, we used two-photon (2P) calcium activity imaging with cellular resolution to investigate how neuronal activity in layer 2/3 of the mouse barrel cortex is modified under the influence of different concentrations of chemically distinct general anesthetics. Our results show that a high isoflurane dose induces synchrony in local neuronal networks and these cortical activity patterns closely resemble those observed in EEG recordings under deep anesthesia. Moreover, ketamine and urethane also induced similar activity patterns. While investigating the effects of deep isoflurane anesthesia on whisker and auditory evoked responses in the barrel cortex, we found that dedicated spatial regions for sensory signal processing become disrupted. We propose that our isoflurane-2P imaging paradigm can serve as an attractive model system to dissect cellular and molecular mechanisms that induce the anesthetic state, and it might also provide important insight into sleep-like brain states and consciousness.
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Affiliation(s)
- Thomas Lissek
- Department of Molecular Neurobiology, Max Planck Institute for Medical ResearchHeidelberg, Germany; Department of Neurobiology, Interdisciplinary Center for Neurosciences, University of HeidelbergHeidelberg, Germany
| | - Horst A Obenhaus
- Department of Molecular Neurobiology, Max Planck Institute for Medical Research Heidelberg, Germany
| | - Désirée A W Ditzel
- Department of Molecular Neurobiology, Max Planck Institute for Medical ResearchHeidelberg, Germany; Max Planck Research Group at the Institute for Anatomy and Cell Biology, Heidelberg UniversityHeidelberg, Germany
| | - Takeharu Nagai
- Laboratory for Nanosystems Physiology, Hokkaido University Hokkaido, Japan
| | - Atsushi Miyawaki
- RIKEN-Brain Science Institute, Laboratory for Cell Function Dynamics Saitama, Japan
| | - Rolf Sprengel
- Department of Molecular Neurobiology, Max Planck Institute for Medical ResearchHeidelberg, Germany; Max Planck Research Group at the Institute for Anatomy and Cell Biology, Heidelberg UniversityHeidelberg, Germany
| | - Mazahir T Hasan
- Department of Molecular Neurobiology, Max Planck Institute for Medical ResearchHeidelberg, Germany; Molecular Neurobiology, Neurocure Cluster of Excellence, Charite-UniversitätsmedizinBerlin, Germany
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Hutt A, Hudetz AG. Editorial: General anesthesia: from theory to experiments. Front Syst Neurosci 2015; 9:105. [PMID: 26257614 PMCID: PMC4510427 DOI: 10.3389/fnsys.2015.00105] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Accepted: 07/10/2015] [Indexed: 12/15/2022] Open
Affiliation(s)
- Axel Hutt
- Team Neurosys, INRIA Villers-les-Nancy, France ; Team Neurosys, Centre National de la Recherche Scientifique, LORIA, UMR No. 7503 Villers-les-Nancy, France ; Team Neurosys, University of Lorraine, LORIA, UMR No. 7503 Villers-les-Nancy, France
| | - Anthony G Hudetz
- Department of Anesthesiology, Medical College of Wisconsin Milwaukee, WI, USA
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