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Sword JJ, Sparks T, Debs LH, Major S, Sharma SJ, Jensen MA, Moore-Hill DT, Barton K, Shah M, Garcia KA, Switzer JA, Blake DT, Vale FL, Dreier JP, Hartings JA, Kirov SA. Acute-Phase Recording of the Spreading Depolarization Continuum in Aged Nonhuman Primates During Focal Ischemic Stroke. Stroke 2025; 56:974-986. [PMID: 40013372 PMCID: PMC11934194 DOI: 10.1161/strokeaha.124.049417] [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: 09/20/2024] [Revised: 12/13/2024] [Accepted: 01/30/2025] [Indexed: 02/28/2025]
Abstract
BACKGROUND Decades of experimental and clinical data revealed that spreading depolarizations (SDs) play a central causal role in the development of cortical lesions after acute brain injury. However, clinical documentation of events at the onset of focal ischemic stroke and during the initial phase of cortical injury development is lacking because electroencephalography monitoring of SD typically starts hours or days later. Here, we used nonhuman primates to map electrophysiological pathology through focal ischemic stroke's onset and acute stage. METHODS Craniotomies were performed over both hemispheres on 4 male and 1 female nemestrina and rhesus macaques aged 23 years to 32 years. Subdural electrode arrays were placed bilaterally over the middle cerebral artery territory, recording from 24 electrodes 1 cm apart on the left cortex and 7 on the right. After 30 minutes of baseline monitoring, the left middle cerebral artery and, in some cases, also the left internal carotid or anterior cerebral arteries were permanently occluded with aneurysmal clips. RESULTS Repetitive SDs occurred during the next 3 hours, followed by terminal SD during euthanasia. No epileptiform activity was observed in any of the 5 animals. Nonspreading electrical silence developed in the ischemic core within seconds of ischemic onset, followed by terminal SD and SD-initiated negative ultraslow potential after several minutes. These events defined the ischemic core and led to histologically confirmed cell damage. Initial and subsequent transient SDs caused spreading depression of spontaneous activity in the normally perfused surrounding cortex without any signs of histological damage. Cardiocirculatory arrest at the end of experiments first induced nonspreading depression of activity followed by SD and, eventually, the SD-initiated negative ultraslow potential, which indicated brain death. CONCLUSIONS Results in gyrencephalic nonhuman primates hold significant implications for understanding the role of SD in acute brain injury development and for the clinical translation and diagnosis of pathologies manifested in the SD continuum.
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Affiliation(s)
- Jeremy J. Sword
- Dept. of Neuroscience and Regenerative Medicine, Medical
College of Georgia at Augusta University, Augusta, Georgia, USA
| | - Tyler Sparks
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
| | - Luca H. Debs
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
| | - Sebastian Major
- Dept. of Neurology, Charité University Medicine,
Berlin, Germany
- Center for Stroke Research Berlin, Charité
University Medicine, Berlin, Germany
- Dept. of Experimental Neurology, Charité University
Medicine, Berlin, Germany
| | - Suash J. Sharma
- Dept. of Pathology, Medical College of Georgia at Augusta
University, Augusta, GA, USA
- Charlie Norwood VA Medical Center, Augusta, GA, USA
| | - Michael A. Jensen
- Dept. of Medical Illustration, Medical College of Georgia
at Augusta University, Augusta, Georgia, USA
| | - Debra T. Moore-Hill
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - Karen Barton
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - Manan Shah
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - Klepper Alfredo Garcia
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - Jeffrey A. Switzer
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - David T. Blake
- Dept. of Neuroscience and Regenerative Medicine, Medical
College of Georgia at Augusta University, Augusta, Georgia, USA
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
- Dept. of Neurology, Medical College of Georgia at Augusta
University, Augusta, Georgia, USA
| | - Fernando L. Vale
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
| | - Jens P. Dreier
- Dept. of Neurology, Charité University Medicine,
Berlin, Germany
- Center for Stroke Research Berlin, Charité
University Medicine, Berlin, Germany
- Dept. of Experimental Neurology, Charité University
Medicine, Berlin, Germany
- Bernstein Center for Computational Neuroscience Berlin,
Berlin, Germany
- Einstein Center for Neurosciences Berlin, Berlin,
Germany
| | - Jed A. Hartings
- Dept. of Neurosurgery, University of Cincinnati College
of Medicine, Cincinnati, OH, USA
- Mayfield Clinic, Cincinnati, OH, USA
| | - Sergei A. Kirov
- Dept. of Neuroscience and Regenerative Medicine, Medical
College of Georgia at Augusta University, Augusta, Georgia, USA
- Dept. of Neurosurgery, Medical College of Georgia at
Augusta University, Augusta, Georgia, USA
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Yuan H, Na W, Li B, Miao S, Tang W, Kang L, Pi C, Yang C, Xie W, Wang T, Zhai D, Zhao D, Liu R, Yu S. Optogenetic cortical spreading depression originating from the primary visual cortex induces migraine-like pain and anxiety behaviors in freely moving C57BL/6 J mice. J Headache Pain 2025; 26:44. [PMID: 40011818 PMCID: PMC11866570 DOI: 10.1186/s10194-025-01983-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 02/18/2025] [Indexed: 02/28/2025] Open
Abstract
BACKGROUND Migraine is the second disabling neurological disorder with a high prevalence. Aura occurs in one-third of migraineurs and visual aura accounts for over 90%. Cortical spreading depression (CSD) underlies aura and might trigger migraine headaches. Compared with CSD induction by invasive electrical, chemical, or mechanical stimulation, optogenetics avoids direct influences on meninges in the stimulation process. However, previous optogenetic CSD models mainly use Thy1-ChR2-YFP or CaMKIIα-cre transgenic mice. They are limited when the pathogenesis study requires transgenic mice to express other specific promotor, such as the dopamine or serotonin transporter promotor. In addition, reported behavioral paradigms were based on CSD induction under anesthesia. This study aimed to establish an optogenetic CSD-induced migraine model originating in the primary visual cortex (VISp) in C57BL/6 J mice and presented the behavioral paradigm when CSD induction was under awake condition. METHODS We performed viral transduction for the expression of light-sensitive channelrhodopsin-2 in pyramidal neurons of VISp in C57BL/6 J mice. Regional cerebral blood flow (rCBF) was measured by laser speckle flowmetry to confirm CSD induction. The von Frey, light-dark box, elevated plus maze, and open field test were conducted to verify migraine-related behaviors in freely moving mice. RESULTS An optogenetic stimulus induced typical spreading triphasic rCBF change with a reduction of over 20%, confirming CSD induction. A single unilateral CSD in freely moving C57BL/6 J mice triggered bilateral periorbital and hind-paw allodynia lasting for 4-24 h. Notably, the ipsilateral periorbital mechanical threshold was significantly lower than the contralateral at 1 h. It also generated photophobia and anxiety behaviors persisting for 24-48 h. Furthermore, cutaneous allodynia and anxiety behaviors were alleviated by sumatriptan. CONCLUSIONS This study proposes an optogenetic CSD-induced migraine model originating from VISp in awake and freely moving C57BL/6 J mice and presents the behavioral paradigm in detail. The CSD model in wild-type mice is promising to be wildly used to study the pathogenesis of MwA.
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Affiliation(s)
- Huijuan Yuan
- School of Medicine, Nankai University, Tianjin, 300071, China
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Weinan Na
- School of Medicine, Nankai University, Tianjin, 300071, China
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Bozhi Li
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Shuai Miao
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Wenjing Tang
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Li Kang
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Chenghui Pi
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Chunxiao Yang
- Department of Neurology, the Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Wei Xie
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Tao Wang
- Department of Critical Care Medicine, The Fourth Medical Centre, Chinese PLA General Hospital, Beijing, 100048, China
| | - Deqi Zhai
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Dengfa Zhao
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Ruozhuo Liu
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Shengyuan Yu
- School of Medicine, Nankai University, Tianjin, 300071, China.
- Department of Neurology, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
- Neurology Institute of Chinese PLA General Hospital, the First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
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Sanchez-Porras R, Ramírez-Cuapio FL, Gutiérrez-Herrera MA, Puig-Lagunes ÁA, Albiña-Palmarola P, López-Navarro JM, Suárez-Gutiérrez MA, Díaz-Peregrino R, Sandoval-Lopez DA, Fischer G, Vazifehdan F, Woitzik J, Santos E. Characterization of spreading depolarizations in swine following superior sagittal sinus occlusion: a novel gyrencephalic model study. Thromb J 2025; 23:15. [PMID: 39940023 PMCID: PMC11816831 DOI: 10.1186/s12959-025-00689-w] [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: 05/07/2024] [Accepted: 01/11/2025] [Indexed: 02/14/2025] Open
Abstract
Cerebral sinus thrombosis, which constitutes a small percentage of all strokes, usually affects young individuals and can lead to venous stroke. Ischemic and hemorrhagic Stroke are associated with Spreading Depolarization (SD) waves in brain tissue, which propagate through the affected areas and cause a transient disruption of ionic homeostasis and neuronal function. This interaction highlights the complexity of the neurological consequences associated with SD. In this study, we investigated the occurrence of SDs following the occlusion of the superior sagittal sinus (SSS) in a gyrencephalic model, specifically swine. To instigate an occlusion, we surgically clipped the middle third of the SSS. The animals were grouped and monitored using one of three methods: electrocorticography (ECoG) alone, ECoG with intrinsic optical signal (IOS) imaging, or ECoG in conjunction with laser speckle contrast and oxygen imaging (LSCI). Post-mortem, the brains were analyzed using 2,3,5-triphenyl tetrazolium chloride (TTC) staining to check for venous infarction. Our results confirmed the spontaneous occurrence of SDs in the gyrencephalic swine brain after SSS occlusion, which was detectable via all monitoring methodologies. SD activity was most frequent in the first hour post-occlusion, subsequently diminishing. IOS imaging identified four unique hemodynamic responses, while TTC staining indicated no infarction. This research is the first to document SDs in the gyrencephalic swine brain following SSS occlusion, laying the groundwork for future investigations in both animal models and human clinical studies.
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Affiliation(s)
- Renan Sanchez-Porras
- Department of Neurosurgery, Carl von Ossietzky University of Oldenburg, Marienstraße 11, 26121, Oldenburg, Germany
| | - Francisco L Ramírez-Cuapio
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
- Department of Acute Neurology/Early Neurological Rehabilitation, Kliniken Schmieder Allensbach, Allensbach, Germany
| | - Mildred A Gutiérrez-Herrera
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
| | | | | | - Juan M López-Navarro
- Department of Neurosurgery, Carl von Ossietzky University of Oldenburg, Marienstraße 11, 26121, Oldenburg, Germany
| | | | - Roberto Díaz-Peregrino
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
| | - Diego A Sandoval-Lopez
- Department of Neurosurgery, Carl von Ossietzky University of Oldenburg, Marienstraße 11, 26121, Oldenburg, Germany
| | - Gregor Fischer
- Department of Neurosurgery & Spine Center of Eastern Switzerland, St. Gallen Medical School & Cantonal Hospital of St. Gallen, St. Gallen, Switzerland
| | - Farzam Vazifehdan
- Spine Center Stuttgart, Diakonie-Klinikum Stuttgart, Paulinenhilfe, Stuttgart, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Carl von Ossietzky University of Oldenburg, Marienstraße 11, 26121, Oldenburg, Germany
| | - Edgar Santos
- Department of Neurosurgery, Carl von Ossietzky University of Oldenburg, Marienstraße 11, 26121, Oldenburg, Germany.
- Spine Center Stuttgart, Diakonie-Klinikum Stuttgart, Paulinenhilfe, Stuttgart, Germany.
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Brown BR, Hund SJ, Easley KA, Singer EL, Shuttleworth CW, Carlson AP, Jones SC. Proof-of-Concept Validation of Noninvasive Detection of Cortical Spreading Depolarization with High Resolution Direct Current-Electroencephalography. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2024.11.12.24311133. [PMID: 39606369 PMCID: PMC11601781 DOI: 10.1101/2024.11.12.24311133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
Background/Objective Cortical spreading depolarization (SD) is increasingly recognized as a major contributor to secondary brain injury. Noninvasive SD monitoring would enable the institution of SD-based therapeutics. Our primary objective is to establish proof-of-concept validation that scalp DC-potentials can provide noninvasive SD detection by comparing scalp direct-current (DC)-shifts from a high-density electrode array to SDs detected by gold-standard electrocorticography (ECoG). Our secondary objective is to assess usability and artifact tolerance. Methods An 83×58 mm thermoplastic elastomer array with 29 6-mm diameter Ag/AgCl 1-cm spaced electrodes, the CerebroPatch™ Proof-of-Concept Prototype, was adhesively placed on the forehead with an intervening electrode gel interface to record DC-electroencephalography in normal volunteers and severe acute brain injury patients in the neuro-intensive care unit some with and some without invasive ECoG electrodes. The scalp and ECoG voltages were collected by a Moberg® Advanced ICU Amplifier. Artifacts were visually identified and usability issues were recorded. SD was scored on ECoG based on DC-shifts with associated high-frequency suppression and propagation. A six-parameter Gaussian plus quadratic baseline model was used to estimate ECoG and scalp electrode time-courses and scalp-voltage heat-map movies. The similarity of the noninvasive scalp and invasive ECoG DC-shift time-courses was compared via the Gaussian fit parameters and confirmed if the Coefficient-of-Determination was >0.80. Results Usability and artifact issues obscured most scalp Prototype device data of the 140 ECoG-coded SDs during 11 days in one sub-arachnoid hemorrhage patient. Twenty-six of these DC-shifts were in readable, artifact-free portions of scalp recordings and 24 of these had a >0.80 Coefficient-of-Determination (0.98[0.02], median[IQR]) between invasive ECoG and noninvasive Prototype device DC-shifts. Reconstructed heat-map movies of the scalp DC-potentials showed a 5-cm extent, -460 μV peak region that persisted for ~70 sec. These data suggest that these scalp DC-shifts (peak -457±69 μV [mean±StD], full-width-half maximum 70.9±5.92 sec, area 18.7±2.76 cm2) depicted in the heat-map movies represent noninvasively detected SDs. Conclusions These results using 26 SDs as the observational units suggest that noninvasive SD detection is possible using scalp DC-potential signals with a high spatial resolution EEG array. Although the high artifact burden data and low usability records were limiting, negative results, they serve as an important entrepreneurial recipe for a future, re-designed device that would reduce artifacts and improve usability for DC-EEG SD detection needed to enable multi-modal monitoring for secondary brain injury.
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Affiliation(s)
- Benjamin R. Brown
- CerebroScope, the dba entity of SciencePlusPlease LLC, 4165 Blair St., Pittsburgh, PA 15207-1508, USA
| | - Samuel J. Hund
- CerebroScope, the dba entity of SciencePlusPlease LLC, 4165 Blair St., Pittsburgh, PA 15207-1508, USA
| | - Kirk A. Easley
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Eric L. Singer
- CerebroScope, the dba entity of SciencePlusPlease LLC, 4165 Blair St., Pittsburgh, PA 15207-1508, USA
| | - C. William Shuttleworth
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Andrew P. Carlson
- Department of Neurosurgery, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Stephen C. Jones
- CerebroScope, the dba entity of SciencePlusPlease LLC, 4165 Blair St., Pittsburgh, PA 15207-1508, USA
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Carlson AP. Neurosurgical Spreading Depolarization Monitoring: Why, How, and What to Do About It. Neurosurgery 2024; 97:57-64. [PMID: 39651891 DOI: 10.1227/neu.0000000000003278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 09/30/2024] [Indexed: 06/18/2025] Open
Abstract
Monitoring of electrocorticography for the purpose of detecting spreading depolarization (SD) events is becoming increasingly used both for research and clinical applications. Although such monitoring bears many similarities to standard long-term epilepsy monitoring, there are a number of differences that neurosurgeons need to be aware of when initiating such a program. In addition, most of the focus in SD monitoring has been on traumatic and vascular conditions, where invasive monitoring is used commonly, but electrocorticography is not commonly used. In this brief review, a clinically focused approach is presented to support successful monitoring. This is not intended to be a comprehensive or systematic description of the neuroscience of SD and its clinical relevance, as many such previous reviews exist. It is also recognized that this is a rapidly evolving field and that new advances may disrupt these approaches and that there is a diversity of opinion on these topics, even among SD experts. Nonetheless, the general approach to SD monitoring has now been in use for >15 years and is the basis for several active and proposed clinical trials (NCT05337618, NCT04966546), so an understanding from a neurosurgical perspective of the rationale and approach to monitoring is warranted. In this review, we will consider the potential indications for SD monitoring in clinical trials or clinical care, the methodology for recording and interpreting, and finally some potential therapeutic approaches that are being considered in patients with clinically detected SD.
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Affiliation(s)
- Andrew P Carlson
- Department of Neurosurgery, University of Virginia School of Medicine, Charlottesville , Virginia , USA
- Department of Neurosurgery, University of New Mexico School of Medicine, Albuquerque , New Mexico , USA
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Harriott AM, Kaya M, Ayata C. Oxytocin shortens spreading depolarization-induced periorbital allodynia. J Headache Pain 2024; 25:152. [PMID: 39289629 PMCID: PMC11406737 DOI: 10.1186/s10194-024-01855-7] [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: 07/07/2024] [Accepted: 09/02/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND Migraine is among the most prevalent and burdensome neurological disorders in the United States based on disability-adjusted life years. Cortical spreading depolarization (SD) is the most likely electrophysiological cause of migraine aura and may be linked to trigeminal nociception. We previously demonstrated, using a minimally invasive optogenetic approach of SD induction (opto-SD), that opto-SD triggers acute periorbital mechanical allodynia that is reversed by 5HT1B/1D receptor agonists, supporting SD-induced activation of migraine-relevant trigeminal pain pathways in mice. Recent data highlight hypothalamic neural circuits in migraine, and SD may activate hypothalamic neurons. Furthermore, neuroanatomical, electrophysiological, and behavioral data suggest a homeostatic analgesic function of hypothalamic neuropeptide hormone, oxytocin. We, therefore, examined the role of hypothalamic paraventricular nucleus (PVN) and oxytocinergic (OXT) signaling in opto-SD-induced trigeminal pain behavior. METHODS We induced a single opto-SD in adult male and female Thy1-ChR2-YFP transgenic mice and quantified fos immunolabeling in the PVN and supraoptic nucleus (SON) compared with sham controls. Oxytocin expression was also measured in fos-positive neurons in the PVN. Periorbital mechanical allodynia was tested after treatment with selective OXT receptor antagonist L-368,899 (5 to 25 mg/kg i.p.) or vehicle at 1, 2, and 4 h after opto-SD or sham stimulation using von Frey monofilaments. RESULTS Opto-SD significantly increased the number of fos immunoreactive cells in the PVN and SON as compared to sham stimulation (p < 0.001, p = 0.018, respectively). A subpopulation of fos-positive neurons also stained positive for oxytocin. Opto-SD evoked periorbital mechanical allodynia 1 h after SD (p = 0.001 vs. sham), which recovered quickly within 2 h (p = 0.638). OXT receptor antagonist L-368,899 dose-dependently prolonged SD-induced periorbital allodynia (p < 0.001). L-368,899 did not affect mechanical thresholds in the absence of opto-SD. CONCLUSIONS These data support an SD-induced activation of PVN neurons and a role for endogenous OXT in alleviating acute SD-induced trigeminal allodynia by shortening its duration.
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Affiliation(s)
- Andrea M Harriott
- Neurovascular Research Unit, Department of Neurology, Massachusetts General Hospital, 149 13th Street, Charlestown, Boston MA, 02129, USA.
| | - Melih Kaya
- Neurovascular Research Unit, Department of Neurology, Massachusetts General Hospital, 149 13th Street, Charlestown, Boston MA, 02129, USA
| | - Cenk Ayata
- Neurovascular Research Unit, Department of Neurology, Massachusetts General Hospital, 149 13th Street, Charlestown, Boston MA, 02129, USA
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Karan AA, Gerasimov KA, Spivak YS, Suleymanova EM, Vinogradova LV. Inflammatory response of leptomeninges to a single cortical spreading depolarization. J Headache Pain 2024; 25:113. [PMID: 39009958 PMCID: PMC11251126 DOI: 10.1186/s10194-024-01823-1] [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: 04/27/2024] [Accepted: 07/07/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Neurogenic meningeal inflammation is regarded as a key driver of migraine headache. Multiple evidence show importance of inflammatory processes in the dura mater for pain generation but contribution of the leptomeninges is less clear. We assessed effects of cortical spreading depolarization (CSD), the pathophysiological mechanism of migraine aura, on expression of inflammatory mediators in the leptomeninges. METHODS A single CSD event was produced by a focal unilateral microdamage of the cortex in freely behaving rats. Three hours later intact cortical leptomeninges and parenchyma of ipsi-lesional (invaded by CSD) and sham-treated contra-lesional (unaffected by CSD) hemispheres were collected and mRNA levels of genes associated with inflammation (Il1b, Tnf, Ccl2; Cx3cl1, Zc3h12a) and endocannabinoid CB2 receptors (Cnr2) were measured using qPCR. RESULTS Three hours after a single unilateral CSD, most inflammatory factors changed their expression levels in the leptomeninges, mainly on the side of CSD. The meninges overlying affected cortex increased mRNA expression of all proinflammatory cytokines (Il1b, Tnf, Ccl2) and anti-inflammatory factors Zc3h12a and Cx3cl1. Upregulation of proinflammatory cytokines was found in both meninges and parenchyma while anti-inflammatory markers increased only meningeal expression. CONCLUSION A single CSD is sufficient to produce pronounced leptomeningeal inflammation that lasts for at least three hours and involves mostly meninges overlying the cortex affected by CSD. The prolonged post-CSD inflammation of the leptomeninges can contribute to mechanisms of headache generation following aura phase of migraine attack.
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Affiliation(s)
- Anna A Karan
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Konstantin A Gerasimov
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
- Pirogov Russian National Research Medical University, Ostrovityanova Street 1, 117997, Moscow, Russia
| | - Yulia S Spivak
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Elena M Suleymanova
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Lyudmila V Vinogradova
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia.
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8
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Wang S, Eckstein KN, Guertler CA, Johnson CL, Okamoto RJ, McGarry MD, Bayly PV. Post-mortem changes of anisotropic mechanical properties in the porcine brain assessed by MR elastography. BRAIN MULTIPHYSICS 2024; 6:100091. [PMID: 38933498 PMCID: PMC11207183 DOI: 10.1016/j.brain.2024.100091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024] Open
Abstract
Knowledge of the mechanical properties of brain tissue in vivo is essential to understanding the mechanisms underlying traumatic brain injury (TBI) and to creating accurate computational models of TBI and neurosurgical simulation. Brain white matter, which is composed of aligned, myelinated, axonal fibers, is structurally anisotropic. White matter in vivo also exhibits mechanical anisotropy, as measured by magnetic resonance elastography (MRE), but measurements of anisotropy obtained by mechanical testing of white matter ex vivo have been inconsistent. The minipig has a gyrencephalic brain with similar white matter and gray matter proportions to humans and therefore provides a relevant model for human brain mechanics. In this study, we compare estimates of anisotropic mechanical properties of the minipig brain obtained by identical, non-invasive methods in the live (in vivo) and dead animals (in situ). To do so, we combine wave displacement fields from MRE and fiber directions derived from diffusion tensor imaging (DTI) with a finite element-based, transversely-isotropic nonlinear inversion (TI-NLI) algorithm. Maps of anisotropic mechanical properties in the minipig brain were generated for each animal alive and at specific times post-mortem. These maps show that white matter is stiffer, more dissipative, and more anisotropic than gray matter when the minipig is alive, but that these differences largely disappear post-mortem, with the exception of tensile anisotropy. Overall, brain tissue becomes stiffer, less dissipative, and less mechanically anisotropic post-mortem. These findings emphasize the importance of testing brain tissue properties in vivo. Statement of Significance In this study, MRE and DTI in the minipig were combined to estimate, for the first time, anisotropic mechanical properties in the living brain and in the same brain after death. Significant differences were observed in the anisotropic behavior of brain tissue post-mortem. These results demonstrate the importance of measuring brain tissue properties in vivo as well as ex vivo, and provide new quantitative data for the development of computational models of brain biomechanics.
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Affiliation(s)
- Shuaihu Wang
- Washington University in St. Louis, Mechanical Engineering and Material Science, United States
| | - Kevin N. Eckstein
- Washington University in St. Louis, Mechanical Engineering and Material Science, United States
| | - Charlotte A. Guertler
- Washington University in St. Louis, Mechanical Engineering and Material Science, United States
| | | | - Ruth J. Okamoto
- Washington University in St. Louis, Mechanical Engineering and Material Science, United States
| | | | - Philip V. Bayly
- Washington University in St. Louis, Mechanical Engineering and Material Science, United States
- Washington University in St. Louis, Biomedical Engineering, United States
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9
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Papo D, Buldú JM. Does the brain behave like a (complex) network? I. Dynamics. Phys Life Rev 2024; 48:47-98. [PMID: 38145591 DOI: 10.1016/j.plrev.2023.12.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 12/10/2023] [Indexed: 12/27/2023]
Abstract
Graph theory is now becoming a standard tool in system-level neuroscience. However, endowing observed brain anatomy and dynamics with a complex network structure does not entail that the brain actually works as a network. Asking whether the brain behaves as a network means asking whether network properties count. From the viewpoint of neurophysiology and, possibly, of brain physics, the most substantial issues a network structure may be instrumental in addressing relate to the influence of network properties on brain dynamics and to whether these properties ultimately explain some aspects of brain function. Here, we address the dynamical implications of complex network, examining which aspects and scales of brain activity may be understood to genuinely behave as a network. To do so, we first define the meaning of networkness, and analyse some of its implications. We then examine ways in which brain anatomy and dynamics can be endowed with a network structure and discuss possible ways in which network structure may be shown to represent a genuine organisational principle of brain activity, rather than just a convenient description of its anatomy and dynamics.
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Affiliation(s)
- D Papo
- Department of Neuroscience and Rehabilitation, Section of Physiology, University of Ferrara, Ferrara, Italy; Center for Translational Neurophysiology, Fondazione Istituto Italiano di Tecnologia, Ferrara, Italy.
| | - J M Buldú
- Complex Systems Group & G.I.S.C., Universidad Rey Juan Carlos, Madrid, Spain
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10
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Medvedeva TM, Smirnova MP, Pavlova IV, Vinogradova LV. Different vulnerability of fast and slow cortical oscillations to suppressive effect of spreading depolarization: state-dependent features potentially relevant to pathogenesis of migraine aura. J Headache Pain 2024; 25:8. [PMID: 38225575 PMCID: PMC10789028 DOI: 10.1186/s10194-023-01706-x] [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: 09/28/2023] [Accepted: 12/19/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Spreading depolarization (SD), underlying mechanism of migraine aura and potential activator of pain pathways, is known to elicit transient local silencing cortical activity. Sweeping across the cortex, the electrocorticographic depression is supposed to underlie spreading negative symptoms of migraine aura. Main information about the suppressive effect of SD on cortical oscillations was obtained in anesthetized animals while ictal recordings in conscious patients failed to detect EEG depression during migraine aura. Here, we investigate the suppressive effect of SD on spontaneous cortical activity in awake animals and examine whether the anesthesia modifies the SD effect. METHODS Spectral and spatiotemporal characteristics of spontaneous cortical activity following a single unilateral SD elicited by amygdala pinprick were analyzed in awake freely behaving rats and after induction of urethane anesthesia. RESULTS In wakefulness, SD transiently suppressed cortical oscillations in all frequency bands except delta. Slow delta activity did not decline its power during SD and even increased it afterwards; high-frequency gamma oscillations showed the strongest and longest depression under awake conditions. Unexpectedly, gamma power reduced not only during SD invasion the recording cortical sites but also when SD occupied distant subcortical/cortical areas. Contralateral cortex not invaded by SD also showed transient depression of gamma activity in awake animals. Introduction of general anesthesia modified the pattern of SD-induced depression: SD evoked the strongest cessation of slow delta activity, milder suppression of fast oscillations and no distant changes in gamma activity. CONCLUSION Slow and fast cortical oscillations differ in their vulnerability to SD influence, especially in wakefulness. In the conscious brain, SD produces stronger and spatially broader depression of fast cortical oscillations than slow ones. The frequency-specific effects of SD on cortical activity of awake brain may underlie some previously unexplained clinical features of migraine aura.
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Affiliation(s)
- Tatiana M Medvedeva
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Maria P Smirnova
- Department of Conditioned Reflexes and Physiology of Emotion, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Irina V Pavlova
- Department of Conditioned Reflexes and Physiology of Emotion, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia
| | - Lyudmila V Vinogradova
- Department of Molecular Neurobiology, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Butlerova Street 5A, 117485, Moscow, Russia.
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11
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LaSarge CL, McCoy C, Namboodiri DV, Hartings JA, Danzer SC, Batie MR, Skoch J. Spatial and Temporal Comparisons of Calcium Channel and Intrinsic Signal Imaging During in Vivo Cortical Spreading Depolarizations in Healthy and Hypoxic Brains. Neurocrit Care 2023; 39:655-668. [PMID: 36539593 DOI: 10.1007/s12028-022-01660-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Spreading depolarizations (SDs) can be viewed at a cellular level using calcium imaging (CI), but this approach is limited to laboratory applications and animal experiments. Optical intrinsic signal imaging (OISI), on the other hand, is amenable to clinical use and allows viewing of large cortical areas without contrast agents. A better understanding of the behavior of OISI-observed SDs under different brain conditions is needed. METHODS We performed simultaneous calcium and OISI of SDs in GCaMP6f mice. SDs propagate through the cortex as a pathological wave and trigger a neurovascular response that can be imaged with both techniques. We imaged both mechanically stimulated SDs (sSDs) in healthy brains and terminal SDs (tSDs) induced by system hypoxia and cardiopulmonary failure. RESULTS We observed a lag in the detection of SDs in the OISI channels compared with CI. sSDs had a faster velocity than tSDs, and tSDs had a greater initial velocity for the first 400 µm when observed with CI compared with OISI. However, both imaging methods revealed similar characteristics, including a decrease in the sSD (but not tSD) velocities as the wave moved away from the site of initial detection. CI and OISI also showed similar spatial propagation of the SD throughout the image field. Importantly, only OISI allowed regional ischemia to be detected before tSDs occurred. CONCLUSIONS Altogether, data indicate that monitoring either neural activity or intrinsic signals with high-resolution optical imaging can be useful to assess SDs, but OISI may be a clinically applicable way to predict, and therefore possibly mitigate, hypoxic-ischemic tSDs.
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Affiliation(s)
- Candi L LaSarge
- Department of Anesthesia, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Anesthesia, University of Cincinnati, Cincinnati, OH, USA
- Center for Pediatric Neuroscience, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Carlie McCoy
- Division of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Devi V Namboodiri
- Department of Anesthesia, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jed A Hartings
- Department of Neurosurgery, University of Cincinnati, Cincinnati, OH, USA
| | - Steve C Danzer
- Department of Anesthesia, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Anesthesia, University of Cincinnati, Cincinnati, OH, USA
- Center for Pediatric Neuroscience, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Matthew R Batie
- Clinical Engineering, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jesse Skoch
- Center for Pediatric Neuroscience, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Division of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
- Department of Neurosurgery, University of Cincinnati, Cincinnati, OH, USA.
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12
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Cao J, Grover P, Kainerstorfer JM. A model of neurovascular coupling and its application to cortical spreading depolarization. J Theor Biol 2023; 572:111580. [PMID: 37459953 DOI: 10.1016/j.jtbi.2023.111580] [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: 12/16/2022] [Revised: 06/09/2023] [Accepted: 07/10/2023] [Indexed: 08/01/2023]
Abstract
Cortical spreading depolarization (CSD) is a neuropathological condition involving propagating waves of neuronal silence, and is related to multiple diseases, such as migraine aura, traumatic brain injury (TBI), stroke, and cardiac arrest, as well as poor outcome of patients. While CSDs of different severity share similar roots on the ion exchange level, they can lead to different vascular responses (namely spreading hyperemia and spreading ischemia). In this paper, we propose a mathematical model relating neuronal activities to predict vascular changes as measured with near-infrared spectroscopy (NIRS) and fMRI recordings, and apply it to the extreme case of CSD, where sustained near-complete neuronal depolarization is seen. We utilize three serially connected models (namely, ion exchange, neurovascular coupling, and hemodynamic model) which are described by differential equations. Propagating waves of ion concentrations, as well as the associated vasodynamics and hemodynamics, are simulated by solving these equations. Our proposed model predicts vasodynamics and hemodynamics that agree both qualitatively and quantitatively with experimental literature. Mathematical modeling and simulation offer a powerful tool to help understand the underlying mechanisms of CSD and help interpret the data. In addition, it helps develop novel monitoring techniques prior to data collection. Our simulated results strongly suggest that fMRI is unable to reliably distinguish between spreading hyperemia and spreading ischemia, while NIRS signals are substantially distinct in the two cases.
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Affiliation(s)
- Jiaming Cao
- Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, 15213, PA, United States
| | - Pulkit Grover
- Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, 15213, PA, United States; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, 15213, PA, United States; Neuroscience Institute, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, 15213, PA, United States
| | - Jana M Kainerstorfer
- Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, 15213, PA, United States; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, 15213, PA, United States; Neuroscience Institute, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, 15213, PA, United States.
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13
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Chamanzar A, Elmer J, Shutter L, Hartings J, Grover P. Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG. COMMUNICATIONS MEDICINE 2023; 3:113. [PMID: 37598253 PMCID: PMC10439895 DOI: 10.1038/s43856-023-00344-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 08/04/2023] [Indexed: 08/21/2023] Open
Abstract
BACKGROUND Spreading depolarizations (SDs) are a biomarker and a potentially treatable mechanism of worsening brain injury after traumatic brain injury (TBI). Noninvasive detection of SDs could transform critical care for brain injury patients but has remained elusive. Current methods to detect SDs are based on invasive intracranial recordings with limited spatial coverage. In this study, we establish the feasibility of automated SD detection through noninvasive scalp electroencephalography (EEG) for patients with severe TBI. METHODS Building on our recent WAVEFRONT algorithm, we designed an automated SD detection method. This algorithm, with learnable parameters and improved velocity estimation, extracts and tracks propagating power depressions using low-density EEG. The dataset for testing our algorithm contains 700 total SDs in 12 severe TBI patients who underwent decompressive hemicraniectomy (DHC), labeled using ground-truth intracranial EEG recordings. We utilize simultaneously recorded, continuous, low-density (19 electrodes) scalp EEG signals, to quantify the detection accuracy of WAVEFRONT in terms of true positive rate (TPR), false positive rate (FPR), as well as the accuracy of estimating SD frequency. RESULTS WAVEFRONT achieves the best average validation accuracy using Delta band EEG: 74% TPR with less than 1.5% FPR. Further, preliminary evidence suggests WAVEFRONT can estimate how frequently SDs may occur. CONCLUSIONS We establish the feasibility, and quantify the performance, of noninvasive SD detection after severe TBI using an automated algorithm. The algorithm, WAVEFRONT, can also potentially be used for diagnosis, monitoring, and tailoring treatments for worsening brain injury. Extension of these results to patients with intact skulls requires further study.
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Grants
- K23 NS097629 NINDS NIH HHS
- National Science Foundation (NSF)
- This work was supported, in part, by grants from the National Science Foundation (NSF), Chuck Noll Foundation for Brain Injury Research, the Office of the Assistant Secretary of Defense for Health Affairs through the Defense Medical Research and Development Program under Award No. W81XWH-16-2-0020, and the Center for Machine Learning and Health at CMU, under Pittsburgh Health Data Alliance. A Chamanzar was also supported by Neil and Jo Bushnell Fellowship in Engineering, Hsu Chang Memorial Fellowship, CMU Swartz Center for Entrepreneurship Innovation Commercialization Fellows program. Dr. Elmer’s research time was supported by the National Institutes of Health (NIH) through grant 5K23NS097629. Opinions, interpretations, conclusions, and recommendations are those of the authors and are not necessarily endorsed by the Department of Defense.
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Affiliation(s)
- Alireza Chamanzar
- Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA, USA.
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
| | - Jonathan Elmer
- Departments of Emergency Medicine, Critical Care Medicine and Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lori Shutter
- Department of Critical Care Medicine, Neurology and Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jed Hartings
- Department of Neurosurgery, University of Cincinnati, Cincinnati, OH, USA
| | - Pulkit Grover
- Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA, USA.
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.
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14
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Sanchez-Porras R, Ramírez-Cuapio FL, Hecht N, Seule M, Díaz-Peregrino R, Unterberg A, Woitzik J, Dreier JP, Sakowitz OW, Santos E. Cerebrovascular Pressure Reactivity According to Long-Pressure Reactivity Index During Spreading Depolarizations in Aneurysmal Subarachnoid Hemorrhage. Neurocrit Care 2023; 39:135-144. [PMID: 36697998 PMCID: PMC10499750 DOI: 10.1007/s12028-022-01669-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/19/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Spreading depolarization (SD) has been linked to the impairment of neurovascular coupling. However, the association between SD occurrence and cerebrovascular pressure reactivity as a surrogate of cerebral autoregulation (CA) remains unclear. Therefore, we analyzed CA using the long-pressure reactivity index (L-PRx) during SDs in patients with aneurysmal subarachnoid hemorrhage (aSAH). METHODS A retrospective study of patients with aSAH who were recruited at two centers, Heidelberg (HD) and Berlin (BE), was performed. Continuous monitoring of mean arterial pressure (MAP) and intracranial pressure (ICP) was recorded. ICP was measured using an intraparenchymal probe in HD patients and was measure in BE patients through external ventricular drainage. Electrocorticographic (ECoG) activity was continuously recorded between 3 and 13 days after hemorrhage. Autoregulation according to L-PRx was calculated as a moving linear Pearson's correlation of 20-min averages of MAP and ICP. For every identified SD, 60-min intervals of L-PRx were averaged, plotted, and analyzed depending on SD occurrence. Random L-PRx recording periods without SDs served as the control. RESULTS A total of 19 patients (HD n = 14, BE n = 5, mean age 50.4 years, 9 female patients) were monitored for a mean duration of 230.4 h (range 96-360, STD ± 69.6 h), during which ECoG recordings revealed a total number of 277 SDs. Of these, 184 represented a single SD, and 93 SDs presented in clusters. In HD patients, mean L-PRx values were 0.12 (95% confidence interval [CI] 0.11-0.13) during SDs and 0.07 (95% CI 0.06-0.08) during control periods (p < 0.001). Similarly, in BE patients, a higher L-PRx value of 0.11 (95% CI 0.11-0.12) was detected during SDs than that during control periods (0.08, 95% CI 0.07-0.09; p < 0.001). In a more detailed analysis, CA changes registered through an intraparenchymal probe (HD patients) revealed that clustered SD periods were characterized by signs of more severely impaired CA (L-PRx during SD in clusters: 0.23 [95% CI 0.20-0.25]; single SD: 0.09 [95% CI 0.08-0.10]; control periods: 0.07 [95% CI 0.06-0.08]; p < 0.001). This group also showed significant increases in ICP during SDs in clusters compared with single SD and control periods. CONCLUSIONS Neuromonitoring for simultaneous assessment of cerebrovascular pressure reactivity using 20-min averages of MAP and ICP measured by L-PRx during SD events is feasible. SD occurrence was associated with significant increases in L-PRx values indicative of CA disturbances. An impaired CA was found during SD in clusters when using an intraparenchymal probe. This preliminary study validates the use of cerebrovascular reactivity indices to evaluate CA disturbances during SDs. Our results warrant further investigation in larger prospective patient cohorts.
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Affiliation(s)
- Renan Sanchez-Porras
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
- Department of Neurosurgery, Evangelisches Krankenhaus Oldenburg, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Francisco L Ramírez-Cuapio
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
| | - Nils Hecht
- Department of Neurosurgery, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Center for Stroke Research Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Seule
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
- Department of Neurosurgery, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Roberto Díaz-Peregrino
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurosurgery, Evangelisches Krankenhaus Oldenburg, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
| | - Jens P Dreier
- Center for Stroke Research Berlin, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Experimental Neurology, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany
- Einstein Center for Neurosciences Berlin, Berlin, Germany
| | - Oliver W Sakowitz
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany
- Neurosurgery Center Ludwigsburg-Heilbronn, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Edgar Santos
- Department of Neurosurgery, Heidelberg University Hospital, Ruprecht Karls University of Heidelberg, Heidelberg, Germany.
- Department of Neurosurgery, Evangelisches Krankenhaus Oldenburg, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
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15
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Xu Y, Long X, Feng J, Gong P. Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing. Nat Hum Behav 2023:10.1038/s41562-023-01626-5. [PMID: 37322235 DOI: 10.1038/s41562-023-01626-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
The large-scale activity of the human brain exhibits rich and complex patterns, but the spatiotemporal dynamics of these patterns and their functional roles in cognition remain unclear. Here by characterizing moment-by-moment fluctuations of human cortical functional magnetic resonance imaging signals, we show that spiral-like, rotational wave patterns (brain spirals) are widespread during both resting and cognitive task states. These brain spirals propagate across the cortex while rotating around their phase singularity centres, giving rise to spatiotemporal activity dynamics with non-stationary features. The properties of these brain spirals, such as their rotational directions and locations, are task relevant and can be used to classify different cognitive tasks. We also demonstrate that multiple, interacting brain spirals are involved in coordinating the correlated activations and de-activations of distributed functional regions; this mechanism enables flexible reconfiguration of task-driven activity flow between bottom-up and top-down directions during cognitive processing. Our findings suggest that brain spirals organize complex spatiotemporal dynamics of the human brain and have functional correlates to cognitive processing.
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Affiliation(s)
- Yiben Xu
- School of Physics, University of Sydney, Sydney, New South Wales, Australia
- ARC Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, New South Wales, Australia
| | - Xian Long
- School of Physics, University of Sydney, Sydney, New South Wales, Australia
- ARC Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, New South Wales, Australia
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Pulin Gong
- School of Physics, University of Sydney, Sydney, New South Wales, Australia.
- ARC Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, New South Wales, Australia.
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16
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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: 4] [Impact Index Per Article: 1.3] [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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17
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Hsieh BY, Kao YCJ, Zhou N, Lin YP, Mei YY, Chu SY, Wu DC. Vascular responses of penetrating vessels during cortical spreading depolarization with ultrasound dynamic ultrafast Doppler imaging. Front Neurosci 2022; 16:1015843. [PMID: 36466181 PMCID: PMC9714680 DOI: 10.3389/fnins.2022.1015843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2023] Open
Abstract
The dynamic vascular responses during cortical spreading depolarization (CSD) are causally related to pathophysiological consequences in numerous neurovascular conditions, including ischemia, traumatic brain injury, cerebral hemorrhage, and migraine. Monitoring of the hemodynamic responses of cerebral penetrating vessels during CSD is motivated to understand the mechanism of CSD and related neurological disorders. Six SD rats were used, and craniotomy surgery was performed before imaging. CSDs were induced by topical KCl application. Ultrasound dynamic ultrafast Doppler was used to access hemodynamic changes, including cerebral blood volume (CBV) and flow velocity during CSD, and further analyzed those in a single penetrating arteriole or venule. The CSD-induced hemodynamic changes with typical duration and propagation speed were detected by ultrafast Doppler in the cerebral cortex ipsilateral to the induction site. The hemodynamics typically showed triphasic changes, including initial hypoperfusion and prominent hyperperfusion peak, followed by a long-period depression in CBV. Moreover, different hemodynamics between individual penetrating arterioles and venules were proposed by quantification of CBV and flow velocity. The negative correlation between the basal CBV and CSD-induced change was also reported in penetrating vessels. These results indicate specific vascular dynamics of cerebral penetrating vessels and possibly different contributions of penetrating arterioles and venules to the CSD-related pathological vascular consequences. We proposed using ultrasound dynamic ultrafast Doppler imaging to investigate CSD-induced cerebral vascular responses. With this imaging platform, it has the potential to monitor the hemodynamics of cortical penetrating vessels during brain injuries to understand the mechanism of CSD in advance.
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Affiliation(s)
- Bao-Yu Hsieh
- Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yu-Chieh Jill Kao
- Department of Biomedical Imaging and Radiological Sciences, College of Biomedical Science and Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ning Zhou
- iHuman Institute, ShanghaiTech University, Shanghai, China
| | - Yi-Pei Lin
- Department of Biomedical Imaging and Radiological Science, College of Medicine, China Medical University, Taichung, Taiwan
| | - Yu-Ying Mei
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan
| | - Sung-Yu Chu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Dong-Chuan Wu
- Graduate Institute of Biomedical Sciences, College of Medicine, China Medical University, Taichung, Taiwan
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18
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Abstract
Headache disorders can produce recurrent, incapacitating pain. Migraine and cluster headache are notable for their ability to produce significant disability. The anatomy and physiology of headache disorders is fundamental to evolving treatment approaches and research priorities. Key concepts in headache mechanisms include activation and sensitization of trigeminovascular, brainstem, thalamic, and hypothalamic neurons; modulation of cortical brain regions; and activation of descending pain circuits. This review will examine the relevant anatomy of the trigeminal, brainstem, subcortical, and cortical brain regions and concepts related to the pathophysiology of migraine and cluster headache disorders.
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Affiliation(s)
- Andrea M Harriott
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Yulia Orlova
- Department of Neurology, University of Florida, Gainesville, Florida
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19
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Berhouma M, Eker OF, Dailler F, Rheims S, Balanca B. Cortical Spreading Depolarizations in Aneurysmal Subarachnoid Hemorrhage: An Overview of Current Knowledge and Future Perspectives. Adv Tech Stand Neurosurg 2022; 45:229-244. [PMID: 35976452 DOI: 10.1007/978-3-030-99166-1_7] [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] [Indexed: 06/15/2023]
Abstract
Despite significant advances in the management of aneurysmal subarachnoid hemorrhage (SAH), morbidity and mortality remain devastating particularly for high-grade SAH. Poor functional outcome usually results from delayed cerebral ischemia (DCI). The pathogenesis of DCI during aneurysmal SAH has historically been attributed to cerebral vasospasm, but spreading depolarizations (SDs) are now considered to play a central role in DCI. During SAH, SDs may produce an inverse hemodynamic response leading to spreading ischemia. Several animal models have contributed to a better understanding of the pathogenesis of SDs during aneurysmal SAH and provided new therapeutic approaches including N-methyl-D-aspartate receptor antagonists and phosphodiesterase inhibitors. Herein we review the current knowledge in the field of SDs' pathogenesis and we detail the key experimental and clinical studies that have opened interesting new therapeutic approaches to prevent DCI in aneurysmal SAH.
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Affiliation(s)
- Moncef Berhouma
- Department of Neurosurgical Oncology and Vascular Neurosurgery, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon (Lyon University Hospital), Lyon, France.
- Creatis Lab, CNRS UMR 5220, INSERM U1206, Lyon 1 University, INSA Lyon, Lyon, France.
| | - Omer Faruk Eker
- Creatis Lab, CNRS UMR 5220, INSERM U1206, Lyon 1 University, INSA Lyon, Lyon, France
- Department of Interventional Neuroradiology, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon (Lyon University Hospital), Lyon, France
| | - Frederic Dailler
- Department of Neuro-Anesthesia and Neuro-Critical Care, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon (Lyon University Hospital), Lyon, France
| | - Sylvain Rheims
- Department of Functional Neurology and Epileptology, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon (Lyon University Hospital), Lyon, France
- Lyon's Neurosciences Research Center, INSERM U1028/CNRS, UMR 5292, University of Lyon, Lyon, France
| | - Baptiste Balanca
- Department of Neuro-Anesthesia and Neuro-Critical Care, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon (Lyon University Hospital), Lyon, France
- Lyon's Neurosciences Research Center, INSERM U1028/CNRS, UMR 5292, University of Lyon, Lyon, France
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20
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Hartings JA, Carroll CP, Lee G. Spreading Diffusion-Restriction Events in the Gyrencephalic Brain After Subarachnoid Hemorrhage Revealed by Continuous Magnetic Resonance Imaging. Neurocrit Care 2021; 37:60-66. [PMID: 34796429 DOI: 10.1007/s12028-021-01376-0] [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: 05/05/2021] [Accepted: 10/08/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND How widely spreading depolarizations (SDs) propagate through the gyrencephalic brain, including sulci and deeper cortical areas, remains an important clinical question. Here, we investigated SDs that occur spontaneously after subarachnoid placement of autologous blood clots in sulci of the juvenile swine brain. METHODS To investigate the three-dimensional spread of waves, animals underwent continuous diffusion-weighted magnetic resonance imaging (DW-MRI) for up to 6 h following clot placement. SD is the mechanism of the cytotoxic edema of developing infarction that is diagnosed by DW-MRI, and DW-MRI also captures transient diffusion restriction caused by SD in less injured or healthy brains. Here, images (b = 0, 375, and 750) were acquired across five coronal slices with 1.25 × 1.25-mm in-plane resolution and 5-mm slice thickness, and the protocol was repeated every 6.83-9.15 s. Spatial drift correction, temporal smoothing, and signal intensity normalization were applied to generate videos of diffusion signal intensity changes for each coronal slice. RESULTS Review of video data from five animals revealed ten discrete events consisting of focal diffusion restriction that propagated through cerebral cortex. All events originated in the cortex surrounding the sulcal clot, either in the gyrus (n = 4) or in the sulcal depth (n = 6). In six cases, two to three independent waves spread simultaneously in medial, lateral, and antero-posterior directions. Waves traveled within sulcal walls, traversed the depths of sulci to re-emerge on the adjacent gyrus, and, in three cases, spread fully around the dorsolateral convexity. One event spread deep to olfactory regions along midline cortex, and no events were observed contralateral to the subarachnoid clot. CONCLUSIONS Together, these results suggest that SDs in the injured gyrencephalic brain originate near the injury focus and can spread extensively through the cortex to wide and deep uninjured regions. These findings have implications for transient neurologic deficits in the neurocritically ill patient and relevance to patient monitoring and therapeutics.
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Affiliation(s)
- Jed A Hartings
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Christopher P Carroll
- Department of Brain and Spinal Surgery, Naval Medical Center Portsmouth, Portsmouth, VA, USA.,Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - Gregory Lee
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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21
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Davis ZW, Benigno GB, Fletterman C, Desbordes T, Steward C, Sejnowski TJ, H Reynolds J, Muller L. Spontaneous traveling waves naturally emerge from horizontal fiber time delays and travel through locally asynchronous-irregular states. Nat Commun 2021; 12:6057. [PMID: 34663796 PMCID: PMC8523565 DOI: 10.1038/s41467-021-26175-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 09/17/2021] [Indexed: 11/25/2022] Open
Abstract
Studies of sensory-evoked neuronal responses often focus on mean spike rates, with fluctuations treated as internally-generated noise. However, fluctuations of spontaneous activity, often organized as traveling waves, shape stimulus-evoked responses and perceptual sensitivity. The mechanisms underlying these waves are unknown. Further, it is unclear whether waves are consistent with the low rate and weakly correlated “asynchronous-irregular” dynamics observed in cortical recordings. Here, we describe a large-scale computational model with topographically-organized connectivity and conduction delays relevant to biological scales. We find that spontaneous traveling waves are a general property of these networks. The traveling waves that occur in the model are sparse, with only a small fraction of neurons participating in any individual wave. Consequently, they do not induce measurable spike correlations and remain consistent with locally asynchronous irregular states. Further, by modulating local network state, they can shape responses to incoming inputs as observed in vivo. Spontaneous traveling cortical waves shape neural responses. Using a large-scale computational model, the authors show that transmission delays shape locally asynchronous spiking dynamics into traveling waves without inducing correlations and boost responses to external input, as observed in vivo.
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Affiliation(s)
- Zachary W Davis
- The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Gabriel B Benigno
- Department of Applied Mathematics, Western University, London, ON, Canada.,Brain and Mind Institute, Western University, London, ON, Canada
| | | | - Theo Desbordes
- The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - John H Reynolds
- The Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - Lyle Muller
- Department of Applied Mathematics, Western University, London, ON, Canada. .,Brain and Mind Institute, Western University, London, ON, Canada.
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22
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Yang X, Chen YH, Xia F, Sawan M. Photoacoustic imaging for monitoring of stroke diseases: A review. PHOTOACOUSTICS 2021; 23:100287. [PMID: 34401324 PMCID: PMC8353507 DOI: 10.1016/j.pacs.2021.100287] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/02/2021] [Accepted: 07/16/2021] [Indexed: 05/14/2023]
Abstract
Stroke is the leading cause of death and disability after ischemic heart disease. However, there is lacking a non-invasive long-time monitoring technique for stroke diagnosis and therapy. The photoacoustic imaging approach reconstructs images of an object based on the energy excitation by optical absorption and its conversion to acoustic waves, due to corresponding thermoelastic expansion, which has optical resolution and acoustic propagation. This emerging functional imaging method is a non-invasive technique. Due to its precision, this method is particularly attractive for stroke monitoring purpose. In this paper, we review the achievements of this technology and its applications on stroke, as well as the development status in both animal and human applications. Also, various photoacoustic systems and multi-modality photoacoustic imaging are introduced as for potential clinical applications. Finally, the challenges of photoacoustic imaging for monitoring stroke are discussed.
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Affiliation(s)
- Xi Yang
- Zhejiang University, Hangzhou, 310024, Zhejiang, China
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Yun-Hsuan Chen
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Fen Xia
- Zhejiang University, Hangzhou, 310024, Zhejiang, China
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
| | - Mohamad Sawan
- CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China
- Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou, 310024, Zhejiang, China
- Corresponding author at: CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, 310024, Zhejiang, China.
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23
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Raut RV, Snyder AZ, Mitra A, Yellin D, Fujii N, Malach R, Raichle ME. Global waves synchronize the brain's functional systems with fluctuating arousal. SCIENCE ADVANCES 2021; 7:7/30/eabf2709. [PMID: 34290088 PMCID: PMC8294763 DOI: 10.1126/sciadv.abf2709] [Citation(s) in RCA: 125] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 06/04/2021] [Indexed: 05/04/2023]
Abstract
We propose and empirically support a parsimonious account of intrinsic, brain-wide spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize that these waves are the predominant physiological process reflected in spontaneous functional magnetic resonance imaging (fMRI) signal fluctuations. The correlation structure ("functional connectivity") of these fluctuations recapitulates the large-scale functional organization of the brain. However, a unifying physiological account of this structure has so far been lacking. Here, using fMRI in humans, we show that ongoing arousal fluctuations are associated with global waves of activity that slowly propagate in parallel throughout the neocortex, thalamus, striatum, and cerebellum. We show that these waves can parsimoniously account for many features of spontaneous fMRI signal fluctuations, including topographically organized functional connectivity. Last, we demonstrate similar, cortex-wide propagation of neural activity measured with electrocorticography in macaques. These findings suggest that traveling waves spatiotemporally pattern brain-wide excitability in relation to arousal.
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Affiliation(s)
- Ryan V Raut
- Department of Radiology, Washington University, St. Louis, MO 63110, USA.
| | - Abraham Z Snyder
- Department of Radiology, Washington University, St. Louis, MO 63110, USA
- Department of Neurology, Washington University, St. Louis, MO 63110, USA
| | - Anish Mitra
- Department of Psychiatry, Stanford University, Stanford, CA 94305, USA
| | - Dov Yellin
- Department of Neurobiology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Naotaka Fujii
- Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute, Wako, Saitama 351-0198, Japan
| | - Rafael Malach
- Department of Neurobiology, Weizmann Institute of Science, 76100 Rehovot, Israel
| | - Marcus E Raichle
- Department of Radiology, Washington University, St. Louis, MO 63110, USA
- Department of Neurology, Washington University, St. Louis, MO 63110, USA
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24
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Frank R, Bari F, Menyhárt Á, Farkas E. Comparative analysis of spreading depolarizations in brain slices exposed to osmotic or metabolic stress. BMC Neurosci 2021; 22:33. [PMID: 33941084 PMCID: PMC8094470 DOI: 10.1186/s12868-021-00637-0] [Citation(s) in RCA: 8] [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: 02/13/2021] [Accepted: 04/20/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Recurrent spreading depolarizations (SDs) occur in stroke and traumatic brain injury and are considered as a hallmark of injury progression. The complexity of conditions associated with SD in the living brain encouraged researchers to study SD in live brain slice preparations, yet methodological differences among laboratories complicate integrative data interpretation. Here we provide a comparative evaluation of SD evolution in live brain slices, in response to selected SD triggers and in various media, under otherwise standardized experimental conditions. METHODS Rat live coronal brain slices (350 μm) were prepared (n = 51). Hypo-osmotic medium (Na+ content reduced from 130 to 60 mM, HM) or oxygen-glucose deprivation (OGD) were applied to cause osmotic or ischemic challenge. Brain slices superfused with artificial cerebrospinal fluid (aCSF) served as control. SDs were evoked in the control condition with pressure injection of KCl or electric stimulation. Local field potential (LFP) was recorded via an intracortical glass capillary electrode, or intrinsic optical signal imaging was conducted at white light illumination to characterize SDs. TTC and hematoxylin-eosin staining were used to assess tissue damage. RESULTS Severe osmotic stress or OGD provoked a spontaneous SD. In contrast with SDs triggered in aCSF, these spontaneous depolarizations were characterized by incomplete repolarization and prolonged duration. Further, cortical SDs under HM or OGD propagated over the entire cortex and occassionally invaded the striatum, while SDs in aCSF covered a significantly smaller cortical area before coming to a halt, and never spread to the striatum. SDs in HM displayed the greatest amplitude and the most rapid propagation velocity. Finally, spontaneous SD in HM and especially under OGD was followed by tissue injury. CONCLUSIONS While the failure of Na+/K+ ATP-ase is thought to impair tissue recovery from OGD-related SD, the tissue swelling-related hyper excitability and the exhaustion of astrocyte buffering capacity are suggested to promote SD evolution under osmotic stress. In contrast with OGD, SD propagating under hypo-osmotic condition is not terminal, yet it is associated with irreversible tissue injury. Further investigation is required to understand the mechanistic similarities or differences between the evolution of SDs spontaneously occurring in HM and under OGD.
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Affiliation(s)
- Rita Frank
- Department of Medical Physics and Informatics, Faculty of Medicine and Faculty of Science and Informatics, University of Szeged, Korányi fasor 9, 6720, Szeged, Hungary
| | - Ferenc Bari
- Department of Medical Physics and Informatics, Faculty of Medicine and Faculty of Science and Informatics, University of Szeged, Korányi fasor 9, 6720, Szeged, Hungary
| | - Ákos Menyhárt
- Department of Medical Physics and Informatics, Faculty of Medicine and Faculty of Science and Informatics, University of Szeged, Korányi fasor 9, 6720, Szeged, Hungary.
| | - Eszter Farkas
- Department of Medical Physics and Informatics, Faculty of Medicine and Faculty of Science and Informatics, University of Szeged, Korányi fasor 9, 6720, Szeged, Hungary.
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25
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KCl-induced cortical spreading depression waves more heterogeneously propagate than optogenetically-induced waves in lissencephalic brain: an analysis with optical flow tools. Sci Rep 2020; 10:12793. [PMID: 32732932 PMCID: PMC7393358 DOI: 10.1038/s41598-020-69669-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/16/2020] [Indexed: 11/21/2022] Open
Abstract
Although cortical spreading depolarizations (CSD) were originally assumed to be homogeneously and concentrically propagating waves, evidence obtained first in gyrencephalic brains and later in lissencephalic brains suggested a rather non-uniform propagation, shaped heterogeneously by factors like cortical region differences, vascular anatomy, wave recurrences and refractory periods. Understanding this heterogeneity is important to better evaluate the experimental models on the mechanistics of CSD and to make appropriate clinical estimations on neurological disorders like migraine, stroke, and traumatic brain injury. This study demonstrates the application of optical flow analysis tools for systematic and objective evaluation of spatiotemporal CSD propagation patterns in anesthetized mice and compares the propagation profile in different CSD induction models. Our findings confirm the asymmetric angular CSD propagation in lissencephalic brains and suggest a strong dependency on induction-method, such that continuous potassium chloride application leads to significantly higher angular propagation variability compared to optogenetically-induced CSDs.
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26
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Kentar M, Mann M, Sahm F, Olivares-Rivera A, Sanchez-Porras R, Zerelles R, Sakowitz OW, Unterberg AW, Santos E. Detection of spreading depolarizations in a middle cerebral artery occlusion model in swine. Acta Neurochir (Wien) 2020; 162:581-592. [PMID: 31940093 DOI: 10.1007/s00701-019-04132-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 11/04/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND The main objective of this study was to generate a hemodynamically stable swine model to detect spreading depolarizations (SDs) using electrocorticography (ECoG) and intrinsic optical signal (IOS) imaging and laser speckle flowmetry (LSF) after a 30-h middle cerebral artery (MCA) occlusion (MCAo) in German Landrace Swine. METHODS A total of 21 swine were used. The study comprised a training group (group 1, n = 7), a group that underwent bilateral craniectomy and MCAo (group 2, n = 10) and a group used for 2,3,5-triphenyltetrazolium (TTC) staining (group 3, n = 5). RESULTS In group 2, nine animals that underwent MCAo survived for 30 h, and one animal survived for 12 h. We detected MCA variants with 2 to 4 vessels. In all cases, all of the MCAs were occluded. The intensity changes exhibited by IOS and LSF after clipping were closely correlated and indicated a lower blood volume and reduced blood flow in the middle cerebral artery territory. Using IOS, we detected a mean of 2.37 ± (STD) 2.35 SDs/h. Using ECoG, we detected a mean of 0.29 ± (STD) 0.53 SDs/h. Infarctions were diagnosed using histological analysis. TTC staining in group 3 confirmed that the MCA territory was compromised and that the anterior and posterior cerebral arteries were preserved. CONCLUSIONS We confirm the reliability of performing live monitoring of cerebral infarctions using our MCAo protocol to detect SDs.
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27
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Spreading Depolarization during the Acute Stage of Experimental Subarachnoid Hemorrhage in Mice. ACTA NEUROCHIRURGICA SUPPLEMENT 2020; 127:97-103. [DOI: 10.1007/978-3-030-04615-6_16] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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28
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Santos E, Olivares-Rivera A, Major S, Sánchez-Porras R, Uhlmann L, Kunzmann K, Zerelles R, Kentar M, Kola V, Aguilera AH, Herrera MG, Lemale CL, Woitzik J, Hartings JA, Sakowitz OW, Unterberg AW, Dreier JP. Lasting s-ketamine block of spreading depolarizations in subarachnoid hemorrhage: a retrospective cohort study. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2019; 23:427. [PMID: 31888772 PMCID: PMC6937792 DOI: 10.1186/s13054-019-2711-3] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 12/16/2019] [Indexed: 12/12/2022]
Abstract
Objective Spreading depolarizations (SD) are characterized by breakdown of transmembrane ion gradients and excitotoxicity. Experimentally, N-methyl-d-aspartate receptor (NMDAR) antagonists block a majority of SDs. In many hospitals, the NMDAR antagonist s-ketamine and the GABAA agonist midazolam represent the current second-line combination treatment to sedate patients with devastating cerebral injuries. A pressing clinical question is whether this option should become first-line in sedation-requiring individuals in whom SDs are detected, yet the s-ketamine dose necessary to adequately inhibit SDs is unknown. Moreover, use-dependent tolerance could be a problem for SD inhibition in the clinic. Methods We performed a retrospective cohort study of 66 patients with aneurysmal subarachnoid hemorrhage (aSAH) from a prospectively collected database. Thirty-three of 66 patients received s-ketamine during electrocorticographic neuromonitoring of SDs in neurointensive care. The decision to give s-ketamine was dependent on the need for stronger sedation, so it was expected that patients receiving s-ketamine would have a worse clinical outcome. Results S-ketamine application started 4.2 ± 3.5 days after aSAH. The mean dose was 2.8 ± 1.4 mg/kg body weight (BW)/h and thus higher than the dose recommended for sedation. First, patients were divided according to whether they received s-ketamine at any time or not. No significant difference in SD counts was found between groups (negative binomial model using the SD count per patient as outcome variable, p = 0.288). This most likely resulted from the fact that 368 SDs had already occurred in the s-ketamine group before s-ketamine was given. However, in patients receiving s-ketamine, we found a significant decrease in SD incidence when s-ketamine was started (Poisson model with a random intercept for patient, coefficient − 1.83 (95% confidence intervals − 2.17; − 1.50), p < 0.001; logistic regression model, odds ratio (OR) 0.13 (0.08; 0.19), p < 0.001). Thereafter, data was further divided into low-dose (0.1–2.0 mg/kg BW/h) and high-dose (2.1–7.0 mg/kg/h) segments. High-dose s-ketamine resulted in further significant decrease in SD incidence (Poisson model, − 1.10 (− 1.71; − 0.49), p < 0.001; logistic regression model, OR 0.33 (0.17; 0.63), p < 0.001). There was little evidence of SD tolerance to long-term s-ketamine sedation through 5 days. Conclusions These results provide a foundation for a multicenter, neuromonitoring-guided, proof-of-concept trial of ketamine and midazolam as a first-line sedative regime.
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Affiliation(s)
- Edgar Santos
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Arturo Olivares-Rivera
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Sebastian Major
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Experimental Neurology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Renán Sánchez-Porras
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Lorenz Uhlmann
- Institute of Medical Biometry and Informatics, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Kevin Kunzmann
- Institute of Medical Biometry and Informatics, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Roland Zerelles
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Modar Kentar
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Vasilis Kola
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Adrian Hernández Aguilera
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Mildred Gutierrez Herrera
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Coline L Lemale
- Department of Experimental Neurology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Johannes Woitzik
- Evangelisches Krankenhaus Oldenburg, University of Oldenburg, Oldenburg, Germany
| | - Jed A Hartings
- UC Gardner Neuroscience Institute, University of Cincinnati (UC) College of Medicine, Cincinnati, OH, USA.,Department of Neurosurgery, University of Cincinnati (UC) College of Medicine, Cincinnati, OH, USA
| | - Oliver W Sakowitz
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.,Neurosurgery Center Ludwigsburg-Heilbronn, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Andreas W Unterberg
- Neurosurgery Department, Heidelberg University Hospital- Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Jens P Dreier
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Neurology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Experimental Neurology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany.,Einstein Center for Neurosciences Berlin, Berlin, Germany
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Horibe K, Hironaka KI, Matsushita K, Fujimoto K. Curved surface geometry-induced topological change of an excitable planar wavefront. CHAOS (WOODBURY, N.Y.) 2019; 29:093120. [PMID: 31575140 DOI: 10.1063/1.5108838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 08/27/2019] [Indexed: 06/10/2023]
Abstract
On the curved surfaces of living and nonliving materials, planar excitable wavefronts frequently exhibit a directional change and subsequently undergo a discontinuous (topological) change; i.e., a series of wavefront dynamics from collision, annihilation to splitting. Theoretical studies have shown that excitable planar stable waves change their topology significantly depending on the initial conditions on flat surfaces, whereas the directional change of the waves occurs based on the geometry of curved surfaces. However, it is not clear if the geometry of curved surfaces induces this topological change. In this study, we first demonstrated that the curved surface geometry induces bending, collision, and splitting of a planar stable wavefront by numerically solving an excitable reaction-diffusion equation on a bell-shaped surface. We determined two necessary conditions for inducing the topological change: the characteristic length of the curved surface (i.e., the height of the bell-shaped structure) should be greater than the width of the wave, and the ratio of the height to the width of the bell shape should be greater than a threshold. As for the geometrical mechanism of the latter, we found that a bifurcation of the geodesics on the curved surface provides the alternative minimal paths of the wavefront, which circumvent the surface region with a high local curvature, thereby resulting in the topological change. These conditions imply that the topological change of the wavefront can be predicted on the basis of the curved surfaces, whose structures are larger than the wave width.
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Affiliation(s)
- Kazuya Horibe
- Department of Biological Sciences, Osaka University, Toyonaka, Osaka 560-0043, Japan
| | - Ken-Ichi Hironaka
- Department of Biological Sciences, Osaka University, Toyonaka, Osaka 560-0043, Japan
| | - Katsuyoshi Matsushita
- Department of Biological Sciences, Osaka University, Toyonaka, Osaka 560-0043, Japan
| | - Koichi Fujimoto
- Department of Biological Sciences, Osaka University, Toyonaka, Osaka 560-0043, Japan
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Kenny A, Plank MJ, David T. The effects of cerebral curvature on cortical spreading depression. J Theor Biol 2019; 472:11-26. [PMID: 30978351 DOI: 10.1016/j.jtbi.2019.04.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 04/05/2019] [Accepted: 04/08/2019] [Indexed: 10/27/2022]
Abstract
Neuronal activity evokes a localised increase in cerebral blood flow through neurovascular coupling (NVC), a communication system between a group of cells known as a neurovascular unit (NVU). Dysfunctional NVC can lead to pathologies such as cortical spreading depression (CSD), characterised by a slowly propagating wave of neuronal depolarisation and high extracellular potassium (K+) levels. CSD is associated with several neurological disorders such as migraine, stroke, and traumatic brain injury. Insight into the spatial dynamics of CSD in humans is mainly deduced from animal experiments on the smooth lissencephalic brain (in particular murine experiments), however the human cortex is gyrencephalic (highly folded) and is considered likely to exhibit different and more complex patterns of CSD. In this study a large scale numerical NVC model of multiple NVUs is coupled to a vascular tree simulating a two-dimensional cerebral tissue slice. This model is extended with a spatial Gaussian curvature mapping that can simulate the highly folded nature of the human cortex. For a flat surface comparable to a lissencephalic cortex the model can simulate propagating waves of high extracellular K+ travelling radially outwards from a stimulated area at approximately 6.7 mm/min, corresponding well with multiple experimental results. The high K+ concentration induces a corresponding wave of vasoconstriction (with decreased blood flow) then slight vasodilation, achieved through cellular communication within the NVU. The BOLD response decreases below baseline by approximately 10% followed by an increase of 1%. For a surface with spatially varied curvature comparable to a section of gyrencephalic cortex, areas of positive Gaussian curvature inhibit wave propagation due to decreased extracellular diffusion rate. Whereas areas of negative curvature promote propagation. Consequently extracellular K+ is observed travelling as wave segments (as opposed to radial waves) through flat or negatively curved "valleys" corresponding to folds (sulci) in the cortex. If the wave size (defined as the activated area of high K+ concentration) is too small or diffusion rate too low then wave segments can cease propagation. If the diffusion rate is high enough the wave segments can grow from open ends forming loose spiral waves. These results may provide some insight into the differences seen between human and animal experiments.
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Affiliation(s)
- Allanah Kenny
- Department of Mechanical Engineering, University of Canterbury, New Zealand.
| | - Michael J Plank
- School of Mathematics and Statistics and Te Punaha Matatini, University of Canterbury, New Zealand
| | - Tim David
- Department of Mechanical Engineering, University of Canterbury, New Zealand
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31
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Kirchner T, Gröhl J, Herrera MA, Adler T, Hernández-Aguilera A, Santos E, Maier-Hein L. Photoacoustics can image spreading depolarization deep in gyrencephalic brain. Sci Rep 2019; 9:8661. [PMID: 31209253 PMCID: PMC6572820 DOI: 10.1038/s41598-019-44935-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 05/29/2019] [Indexed: 11/09/2022] Open
Abstract
Spreading depolarization (SD) is a self-propagating wave of near-complete neuronal depolarization that is abundant in a wide range of neurological conditions, including stroke. SD was only recently documented in humans and is now considered a therapeutic target for brain injury, but the mechanisms related to SD in complex brains are not well understood. While there are numerous approaches to interventional imaging of SD on the exposed brain surface, measuring SD deep in brain is so far only possible with low spatiotemporal resolution and poor contrast. Here, we show that photoacoustic imaging enables the study of SD and its hemodynamics deep in the gyrencephalic brain with high spatiotemporal resolution. As rapid neuronal depolarization causes tissue hypoxia, we achieve this by continuously estimating blood oxygenation with an intraoperative hybrid photoacoustic and ultrasonic imaging system. Due to its high resolution, promising imaging depth and high contrast, this novel approach to SD imaging can yield new insights into SD and thereby lead to advances in stroke, and brain injury research.
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Affiliation(s)
- Thomas Kirchner
- Division of Computer Assisted Medical Interventions, German Cancer Research Center, Heidelberg, Germany.
- Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.
| | - Janek Gröhl
- Division of Computer Assisted Medical Interventions, German Cancer Research Center, Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Mildred A Herrera
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Tim Adler
- Division of Computer Assisted Medical Interventions, German Cancer Research Center, Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
| | | | - Edgar Santos
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Lena Maier-Hein
- Division of Computer Assisted Medical Interventions, German Cancer Research Center, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
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32
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Hartings JA, York J, Carroll CP, Hinzman JM, Mahoney E, Krueger B, Winkler MKL, Major S, Horst V, Jahnke P, Woitzik J, Kola V, Du Y, Hagen M, Jiang J, Dreier JP. Subarachnoid blood acutely induces spreading depolarizations and early cortical infarction. Brain 2019; 140:2673-2690. [PMID: 28969382 DOI: 10.1093/brain/awx214] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 07/10/2017] [Indexed: 01/05/2023] Open
Abstract
See Ghoshal and Claassen (doi:10.1093/brain/awx226) for a scientific commentary on this article.
Early cortical infarcts are common in poor-grade patients after aneurysmal subarachnoid haemorrhage. There are no animal models of these lesions and mechanisms are unknown, although mass cortical spreading depolarizations are hypothesized as a requisite mechanism and clinical marker of infarct development. Here we studied acute sequelae of subarachnoid haemorrhage in the gyrencephalic brain of propofol-anaesthetized juvenile swine using subdural electrode strips (electrocorticography) and intraparenchymal neuromonitoring probes. Subarachnoid infusion of 1–2 ml of fresh blood at 200 µl/min over cortical sulci caused clusters of spreading depolarizations (count range: 12–34) in 7/17 animals in the ipsilateral but not contralateral hemisphere in 6 h of monitoring, without meaningful changes in other variables. Spreading depolarization clusters were associated with formation of sulcal clots (P < 0.01), a high likelihood of adjacent cortical infarcts (5/7 versus 2/10, P < 0.06), and upregulation of cyclooxygenase-2 in ipsilateral cortex remote from clots/infarcts. In a second cohort, infusion of 1 ml of clotted blood into a sulcus caused spreading depolarizations in 5/6 animals (count range: 4–20 in 6 h) and persistent thick clots with patchy or extensive infarction of circumscribed cortex in all animals. Infarcts were significantly larger after blood clot infusion compared to mass effect controls using fibrin clots of equal volume. Haematoxylin and eosin staining of infarcts showed well demarcated zones of oedema and hypoxic-ischaemic neuronal injury, consistent with acute infarction. The association of spreading depolarizations with early brain injury was then investigated in 23 patients [14 female; age (median, quartiles): 57 years (47, 63)] after repair of ruptured anterior communicating artery aneurysms by clip ligation (n = 14) or coiling (n = 9). Frontal electrocorticography [duration: 54 h (34, 66)] from subdural electrode strips was analysed over Days 0–3 after initial haemorrhage and magnetic resonance imaging studies were performed at ∼ 24–48 h after aneurysm treatment. Patients with frontal infarcts only and those with frontal infarcts and/or intracerebral haemorrhage were both significantly more likely to have spreading depolarizations (6/7 and 10/12, respectively) than those without frontal brain lesions (1/11, P’s < 0.05). These results suggest that subarachnoid clots in sulci/fissures are sufficient to induce spreading depolarizations and acute infarction in adjacent cortex. We hypothesize that the cellular toxicity and vasoconstrictive effects of depolarizations act in synergy with direct ischaemic effects of haemorrhage as mechanisms of infarct development. Results further validate spreading depolarizations as a clinical marker of early brain injury and establish a clinically relevant model to investigate causal pathologic sequences and potential therapeutic interventions.
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Affiliation(s)
- Jed A Hartings
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA.,UC Gardner Neuroscience Institute and Mayfield Clinic, Cincinnati, OH, USA
| | - Jonathan York
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Christopher P Carroll
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jason M Hinzman
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Eric Mahoney
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Bryan Krueger
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Maren K L Winkler
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Germany
| | - Sebastian Major
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Germany.,Department of Neurology, Charité University Medicine Berlin, Germany.,Department of Experimental Neurology, Charité University Medicine Berlin, Germany
| | - Viktor Horst
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Germany
| | - Paul Jahnke
- Department of Radiology Charité University Medicine Berlin, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Charité University Medicine Berlin, Germany
| | - Vasilis Kola
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Germany
| | - Yifeng Du
- Division of Pharmaceutical Sciences, University of Cincinnati College of Pharmacy, Cincinnati, OH, USA
| | - Matthew Hagen
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jianxiong Jiang
- Division of Pharmaceutical Sciences, University of Cincinnati College of Pharmacy, Cincinnati, OH, USA
| | - Jens P Dreier
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Germany.,Department of Neurology, Charité University Medicine Berlin, Germany.,Department of Experimental Neurology, Charité University Medicine Berlin, Germany
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33
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Screening spreading depolarizations during epilepsy surgery. Acta Neurochir (Wien) 2019; 161:911-916. [PMID: 30852674 DOI: 10.1007/s00701-019-03870-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 03/03/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Spreading depolarization (SD) is a fundamental pathophysiological mechanism of both pannecrotic and selective neuronal lesions following deprivation of energy. SD with brain injury has been reported including in one patient during an intracranial operation. However, the incidence of SDs in operative resections is unknown. METHODS We performed (a) retrospective analysis of intraoperative AC-recordings of 69 patients and (b) a prospective study using intraoperative near-DC recording. All patients had the diagnosis of pharmaco-resistant epilepsy. Both studies were designed to determine the incidence and characteristics of SDs intraoperatively. In the retrospective analysis, we used intraoperative electrocorticography (iECoG) recordings obtained from AC-recording of 69 patients. In the prospective analysis, we used an Octal Bio Amp and Power Lab ECoG recorder with near-DC range. RESULTS In the retrospective study, we included 69 patients with a mean of 1 h 3 min of iECoG recordings. In the prospective study, we recruited 20 patients with near DC recordings. A total of 35 h 41 min of iECoG recordings with mean of 2 h 32 min/patient were analyzed. We did not find SD in either study. CONCLUSIONS SDs were not detected during intraoperative recordings of epilepsy surgery using AC- or DC-amplifiers.
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Chamanzar A, George S, Venkatesh P, Chamanzar M, Shutter L, Elmer J, Grover P. An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations. IEEE Trans Biomed Eng 2019; 66:1115-1126. [PMID: 30176578 PMCID: PMC7045617 DOI: 10.1109/tbme.2018.2867112] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE We present a novel signal processing algorithm for automated, noninvasive detection of cortical spreading depolarizations (CSDs) using electroencephalography (EEG) signals and validate the algorithm on simulated EEG signals. CSDs are waves of neurochemical changes that suppress the neuronal activity as they propagate across the brain's cortical surface. CSDs are believed to mediate secondary brain damage after brain trauma and cerebrovascular diseases like stroke. We address the following two key challenges in detecting CSDs from EEG signals: i) attenuation and loss of high spatial resolution information; and ii) cortical folds, which complicate tracking CSD waves. METHODS Our algorithm detects and tracks "wavefronts" of a CSD wave, and stitch together data across space and time to make a detection. To test our algorithm, we provide different models of CSD waves, including different widths of CSD suppressions and different patterns, and use them to simulate scalp EEG signals using head models of four subjects. RESULTS AND CONCLUSION Our results suggest that low-density EEG grids (40 electrodes) can detect CSD widths of 1.1 cm on average, while higher density EEG grids (340 electrodes) can detect CSD patterns as thin as 0.43 cm (less than minimum widths reported in prior works), among which single-gyrus CSDs are the hardest to detect because of their small suppression area. SIGNIFICANCE The proposed algorithm is a first step toward noninvasive, automated detection of CSDs, which can help in reducing secondary brain damages.
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Affiliation(s)
| | | | | | | | - Lori Shutter
- Departments of Emergency Medicine and Critical Care Medicine, University of Pittsburgh
| | - Jonathan Elmer
- Departments of Emergency Medicine and Critical Care Medicine, University of Pittsburgh
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35
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Abstract
Vascular theories of migraine and cluster headache have dominated for many years the pathobiological concept of these disorders. This view is supported by observations that trigeminal activation induces a vascular response and that several vasodilating molecules trigger acute attacks of migraine and cluster headache in susceptible individuals. Over the past 30 years, this rationale has been questioned as it became clear that the actions of some of these molecules, in particular, calcitonin gene-related peptide and pituitary adenylate cyclase-activating peptide, extend far beyond the vasoactive effects, as they possess the ability to modulate nociceptive neuronal activity in several key regions of the trigeminovascular system. These findings have shifted our understanding of these disorders to a primarily neuronal origin with the vascular manifestations being the consequence rather than the origin of trigeminal activation. Nevertheless, the neurovascular component, or coupling, seems to be far more complex than initially thought, being involved in several accompanying features. The review will discuss in detail the anatomical basis and the functional role of the neurovascular mechanisms relevant to migraine and cluster headache.
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Affiliation(s)
- Jan Hoffmann
- 1 Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Serapio M Baca
- 2 Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, USA
| | - Simon Akerman
- 3 Department of Neural and Pain Sciences, University of Maryland Baltimore, Baltimore, MD, USA
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36
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Taş YÇ, Solaroğlu İ, Gürsoy-Özdemir Y. Spreading Depolarization Waves in Neurological Diseases: A Short Review about its Pathophysiology and Clinical Relevance. Curr Neuropharmacol 2019; 17:151-164. [PMID: 28925885 PMCID: PMC6343201 DOI: 10.2174/1570159x15666170915160707] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 09/03/2017] [Accepted: 09/09/2017] [Indexed: 02/05/2023] Open
Abstract
Lesion growth following acutely injured brain tissue after stroke, subarachnoid hemorrhage and traumatic brain injury is an important issue and a new target area for promising therapeutic interventions. Spreading depolarization or peri-lesion depolarization waves were demonstrated as one of the significant contributors of continued lesion growth. In this short review, we discuss the pathophysiology for SD forming events and try to list findings detected in neurological disorders like migraine, stroke, subarachnoid hemorrhage and traumatic brain injury in both human as well as experimental studies. Pharmacological and non-pharmacological treatment strategies are highlighted and future directions and research limitations are discussed.
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Affiliation(s)
| | | | - Yasemin Gürsoy-Özdemir
- Address correspondence to these authors at the Department of Neurosurgery, School of Medicine, Koç University, İstanbul, Turkey; Tel: +90 850 250 8250; E-mails: ,
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37
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Real-time non-invasive in vivo visible light detection of cortical spreading depolarizations in mice. J Neurosci Methods 2018; 309:143-146. [PMID: 30194041 DOI: 10.1016/j.jneumeth.2018.09.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 08/16/2018] [Accepted: 09/01/2018] [Indexed: 11/20/2022]
Abstract
BACKGROUND Cortical spreading depolarization (CSD) is a phenomenon classically associated with migraine aura. CSDs have also been implicated in secondary injury following ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and traumatic brain injury; however, most investigations involving these disease processes do not account for the occurrence of CSDs. A major barrier to detection of CSDs in experimental models is that currently validated methods are invasive and require specialized equipment and a high level of expertise to implement. NEW METHOD We present a low-cost, easy-to-implement approach to the detection of CSDs in the mouse through full-thickness intact skull. Our method uses the optical intrinsic signal from white light illumination (OIS-WL) and allows for real-time in vivo detection of CSDs using readily available USB cameras. RESULTS OIS-WL detected 100% of CSDs that were seen with simultaneous electrode recording (69 CSDs in 28 mice), laser Doppler flowmetry (82 CSDs in 10 mice), laser speckle flowmetry (68 CSDs in 25 mice), or combined electrode recording plus laser speckle flowmetry (29 CSDs in 20 mice). OIS-WL detected 1 additional CSD that was missed by laser Doppler flowmetry. COMPARISON WITH EXISTING METHODS OIS-WL is less invasive than electrophysiological recordings and easier to implement than laser speckle flowmetry. Moreover, it provides excellent spatial and temporal resolution for dynamic imaging of CSDs in the setting of brain injury. CONCLUSIONS Detection of CSDs with an inexpensive USB camera and white light source provides a reliable method for the in vivo and non-invasive detection of CSDs through unaltered mouse skull.
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Balança B, Dailler F, Boulogne S, Ritzenthaler T, Gobert F, Rheims S, Andre-Obadia N. Diagnostic accuracy of quantitative EEG to detect delayed cerebral ischemia after subarachnoid hemorrhage: A preliminary study. Clin Neurophysiol 2018; 129:1926-1936. [PMID: 30007892 DOI: 10.1016/j.clinph.2018.06.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 04/24/2018] [Accepted: 06/15/2018] [Indexed: 01/13/2023]
Abstract
OBJECTIVE Delayed cerebral ischemia (DCI) is the most important and preventable morbidity cause after subarachnoid hemorrhage (SAH). Therefore, DCI early detection is a major challenge. Yet, neurological examination can be unreliable in poor grade SAH patients. EEG provides information from most superficial cortical area, with ischemia-related changes. This study aims at defining an alpha-theta/delta (AT/D) ratio decrease thresholds to detect DCI. METHODS We used EEG with a montage matching vascular territories (right and left anterior central and posterior) and compared them to follow-up brain imaging. RESULTS 15 SAH patients (Fischer ≥ 3, World Federation of Neurological Surgeons scale ≥4, 9 DCI) were monitored during 6.4 [4-8] days (min = 2d, max = 13d). AT/D changes could follow three different patterns: (1) prolonged or (2) transient decrease and (3) no decrease or progressive increase. A regional 30% decrease outlasting 3.7 h reached 100% sensitivity and 88.9% specificity to detect DCI. Only 22.6% were in a zone of uncertain diagnosis (3.7-8.04 h). These prolonged decreases, with a loss of transient changes, started in cortical areas evolving toward DCI, and preceded intracranial changes when available. CONCLUSION Although this study has a small sample size, prolonged AT/D decrease seems to be a reliable biomarker of DCI. SIGNIFICANCE cEEG changes are likely to precede cerebral infarction and could be useful at the bedside to detect DCI before irreversible damage.
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Affiliation(s)
- B Balança
- Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Anesthesiology and Intensive Care Medicine, Lyon, France; Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Centre, Team TIGER, Lyon, France; Université Claude Bernard Lyon 1, Centre Lyonnais d'Enseignement par la Simulation en Santé, SAMSEI, Lyon, France.
| | - F Dailler
- Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Anesthesiology and Intensive Care Medicine, Lyon, France
| | - S Boulogne
- Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Centre, Team TIGER, Lyon, France; Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Functional Neurology and Epileptology, Lyon, France
| | - T Ritzenthaler
- Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Anesthesiology and Intensive Care Medicine, Lyon, France; CREATIS, CNRS UMR 5220INSERM U1044, Université Lyon 1, Villeurbanne, France
| | - F Gobert
- Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Anesthesiology and Intensive Care Medicine, Lyon, France; Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Centre, Team IMAPCT, Lyon, France
| | - S Rheims
- Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Centre, Team TIGER, Lyon, France; Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Functional Neurology and Epileptology, Lyon, France
| | - N Andre-Obadia
- Hospices Civils de Lyon, Hôpital Pierre Wertheimer, Department of Functional Neurology and Epileptology, Lyon, France; Inserm U1028, CNRS UMR 5292, Lyon Neuroscience Research Centre, Team NEUROPAIN, Lyon, France
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Weickenmeier J, Kurt M, Ozkaya E, de Rooij R, Ovaert TC, Ehman RL, Butts Pauly K, Kuhl E. Brain stiffens post mortem. J Mech Behav Biomed Mater 2018; 84:88-98. [PMID: 29754046 PMCID: PMC6751406 DOI: 10.1016/j.jmbbm.2018.04.009] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 04/08/2018] [Accepted: 04/10/2018] [Indexed: 12/19/2022]
Abstract
Alterations in brain rheology are increasingly recognized as a diagnostic marker for various neurological conditions. Magnetic resonance elastography now allows us to assess brain rheology repeatably, reproducibly, and non-invasively in vivo. Recent elastography studies suggest that brain stiffness decreases one percent per year during normal aging, and is significantly reduced in Alzheimer’s disease and multiple sclerosis. While existing studies successfully compare brain stiffnesses across different populations, they fail to provide insight into changes within the same brain. Here we characterize rheological alterations in one and the same brain under extreme metabolic changes: alive and dead. Strikingly, the storage and loss moduli of the cerebrum increased by 26% and 60% within only three minutes post mortem and continued to increase by 40% and 103% within 45 minutes. Immediate post mortem stiffening displayed pronounced regional variations; it was largest in the corpus callosum and smallest in the brainstem. We postulate that post mortem stiffening is a manifestation of alterations in polarization, oxidation, perfusion, and metabolism immediately after death. Our results suggest that the stiffness of our brain–unlike any other organ–is a dynamic property that is highly sensitive to the metabolic environment Our findings emphasize the importance of characterizing brain tissue in vivo and question the relevance of ex vivo brain tissue testing as a whole. Knowing the true stiffness of the living brain has important consequences in diagnosing neurological conditions, planning neurosurgical procedures, and modeling the brain’s response to high impact loading.
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Affiliation(s)
- J Weickenmeier
- Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - M Kurt
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - E Ozkaya
- Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - R de Rooij
- Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
| | - T C Ovaert
- Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
| | - R L Ehman
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - K Butts Pauly
- Department of Radiology Stanford University Stanford, CA 94305, USA
| | - E Kuhl
- Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
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40
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Conte C, Lee R, Sarkar M, Terman D. A mathematical model of recurrent spreading depolarizations. J Comput Neurosci 2017; 44:203-217. [PMID: 29210004 DOI: 10.1007/s10827-017-0675-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 11/17/2017] [Accepted: 11/20/2017] [Indexed: 12/24/2022]
Abstract
A detailed biophysical model for a neuron/astrocyte network is developed in order to explore mechanisms responsible for the initiation and propagation of recurrent cortical spreading depolarizations. The model incorporates biophysical processes not considered in the earlier models. This includes a model for the Na+-glutamate transporter, which allows for a detailed description of reverse glutamate uptake. In particular, we consider the specific roles of elevated extracellular glutamate and K+ in the initiation, propagation and recurrence of spreading depolarizations.
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Affiliation(s)
- Cameron Conte
- Department of Mathematics, Ohio State University, Columbus, OH, USA
| | - Ray Lee
- Department of Mathematics, Ohio State University, Columbus, OH, USA
| | - Monica Sarkar
- Department of Mathematics, Ohio State University, Columbus, OH, USA
| | - David Terman
- Department of Mathematics, Ohio State University, Columbus, OH, USA.
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Wilson RH, Crouzet C, Torabzadeh M, Bazrafkan A, Farahabadi MH, Jamasian B, Donga D, Alcocer J, Zaher SM, Choi B, Akbari Y, Tromberg BJ. High-speed spatial frequency domain imaging of rat cortex detects dynamic optical and physiological properties following cardiac arrest and resuscitation. NEUROPHOTONICS 2017; 4:045008. [PMID: 29296630 PMCID: PMC5742642 DOI: 10.1117/1.nph.4.4.045008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/29/2017] [Indexed: 05/02/2023]
Abstract
Quantifying rapidly varying perturbations in cerebral tissue absorption and scattering can potentially help to characterize changes in brain function caused by ischemic trauma. We have developed a platform for rapid intrinsic signal brain optical imaging using macroscopically structured light. The device performs fast, multispectral, spatial frequency domain imaging (SFDI), detecting backscattered light from three-phase binary square-wave projected patterns, which have a much higher refresh rate than sinusoidal patterns used in conventional SFDI. Although not as fast as "single-snapshot" spatial frequency methods that do not require three-phase projection, square-wave patterns allow accurate image demodulation in applications such as small animal imaging where the limited field of view does not allow single-phase demodulation. By using 655, 730, and 850 nm light-emitting diodes, two spatial frequencies ([Formula: see text] and [Formula: see text]), three spatial phases (120 deg, 240 deg, and 360 deg), and an overall camera acquisition rate of 167 Hz, we map changes in tissue absorption and reduced scattering parameters ([Formula: see text] and [Formula: see text]) and oxy- and deoxyhemoglobin concentration at [Formula: see text]. We apply this method to a rat model of cardiac arrest (CA) and cardiopulmonary resuscitation (CPR) to quantify hemodynamics and scattering on temporal scales ([Formula: see text]) ranging from tens of milliseconds to minutes. We observe rapid concurrent spatiotemporal changes in tissue oxygenation and scattering during CA and following CPR, even when the cerebral electrical signal is absent. We conclude that square-wave SFDI provides an effective technical strategy for assessing cortical optical and physiological properties by balancing competing performance demands for fast signal acquisition, small fields of view, and quantitative information content.
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Affiliation(s)
- Robert H. Wilson
- University of California, Beckman Laser Institute, Irvine, California, United States
| | - Christian Crouzet
- University of California, Beckman Laser Institute, Irvine, California, United States
- University of California, Department of Biomedical Engineering, Irvine, California, United States
| | - Mohammad Torabzadeh
- University of California, Beckman Laser Institute, Irvine, California, United States
- University of California, Department of Biomedical Engineering, Irvine, California, United States
| | - Afsheen Bazrafkan
- University of California, Department of Neurology, Irvine, California, United States
| | - Maryam H. Farahabadi
- University of California, Department of Neurology, Irvine, California, United States
| | - Babak Jamasian
- University of California, Department of Neurology, Irvine, California, United States
| | - Dishant Donga
- University of California, Department of Biomedical Engineering, Irvine, California, United States
| | - Juan Alcocer
- University of California, Department of Neurology, Irvine, California, United States
| | - Shuhab M. Zaher
- University of California, Department of Neurology, Irvine, California, United States
| | - Bernard Choi
- University of California, Beckman Laser Institute, Irvine, California, United States
- University of California, Department of Biomedical Engineering, Irvine, California, United States
| | - Yama Akbari
- University of California, Department of Neurology, Irvine, California, United States
- University of California, School of Medicine, Irvine, California, United States
| | - Bruce J. Tromberg
- University of California, Beckman Laser Institute, Irvine, California, United States
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Dreier JP, Lemale CL, Kola V, Friedman A, Schoknecht K. Spreading depolarization is not an epiphenomenon but the principal mechanism of the cytotoxic edema in various gray matter structures of the brain during stroke. Neuropharmacology 2017; 134:189-207. [PMID: 28941738 DOI: 10.1016/j.neuropharm.2017.09.027] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Revised: 09/16/2017] [Accepted: 09/19/2017] [Indexed: 12/15/2022]
Abstract
Spreading depolarization (SD) is a phenomenon of various cerebral gray matter structures that only occurs under pathological conditions. In the present paper, we summarize the evidence from several decades of research that SD and cytotoxic edema in these structures are largely overlapping terms. SD/cytotoxic edema is a toxic state that - albeit initially reversible - leads eventually to cellular death when it is persistent. Both hemorrhagic and ischemic stroke are among the most prominent causes of SD/cytotoxic edema. SD/cytotoxic edema is the principal mechanism that mediates neuronal death in these conditions. This applies to gray matter structures in both the ischemic core and the penumbra. SD/cytotoxic edema is often a single terminal event in the core whereas, in the penumbra, a cluster of repetitive prolonged SDs is typical. SD/cytotoxic edema also propagates widely into healthy surrounding tissue as short-lasting, relatively harmless events so that regional electrocorticographic monitoring affords even remote detection of ischemic zones. Ischemia cannot only cause SD/cytotoxic edema but it can also be its consequence through inverse neurovascular coupling. Under this condition, ischemia does not start simultaneously in different regions but spreads in the tissue driven by SD/cytotoxic edema-induced microvascular constriction (= spreading ischemia). Spreading ischemia prolongs SD/cytotoxic edema. Thus, it increases the likelihood for the transition from SD/cytotoxic edema into cellular death. Vasogenic edema is the other major type of cerebral edema with relevance to ischemic stroke. It results from opening of the blood-brain barrier. SD/cytotoxic edema and vasogenic edema are distinct processes with important mutual interactions. This article is part of the Special Issue entitled 'Cerebral Ischemia'.
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Affiliation(s)
- Jens P Dreier
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Departments of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
| | - Coline L Lemale
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Vasilis Kola
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Alon Friedman
- Department of Physiology and Cell Biology, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, Canada
| | - Karl Schoknecht
- Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany; Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
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Simulation of spreading depolarization trajectories in cerebral cortex: Correlation of velocity and susceptibility in patients with aneurysmal subarachnoid hemorrhage. NEUROIMAGE-CLINICAL 2017; 16:524-538. [PMID: 28948141 PMCID: PMC5602748 DOI: 10.1016/j.nicl.2017.09.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Revised: 08/23/2017] [Accepted: 09/05/2017] [Indexed: 11/23/2022]
Abstract
In many cerebral grey matter structures including the neocortex, spreading depolarization (SD) is the principal mechanism of the near-complete breakdown of the transcellular ion gradients with abrupt water influx into neurons. Accordingly, SDs are abundantly recorded in patients with traumatic brain injury, spontaneous intracerebral hemorrhage, aneurysmal subarachnoid hemorrhage (aSAH) and malignant hemispheric stroke using subdural electrode strips. SD is observed as a large slow potential change, spreading in the cortex at velocities between 2 and 9 mm/min. Velocity and SD susceptibility typically correlate positively in various animal models. In patients monitored in neurocritical care, the Co-Operative Studies on Brain Injury Depolarizations (COSBID) recommends several variables to quantify SD occurrence and susceptibility, although accurate measures of SD velocity have not been possible. Therefore, we developed an algorithm to estimate SD velocities based on reconstructing SD trajectories of the wave-front's curvature center from magnetic resonance imaging scans and time-of-SD-arrival-differences between subdural electrode pairs. We then correlated variables indicating SD susceptibility with algorithm-estimated SD velocities in twelve aSAH patients. Highly significant correlations supported the algorithm's validity. The trajectory search failed significantly more often for SDs recorded directly over emerging focal brain lesions suggesting in humans similar to animals that the complexity of SD propagation paths increase in tissue undergoing injury. An algorithm has been developed to estimate spreading depolarization (SD) velocities in neurocritical care. The algorithm is based on reconstructing SD trajectories of the wave-front's curvature center. It utilizes MRI scans and time-of-SD-arrival-differences between subdural electrode pairs. Variables indicating SD susceptibility correlated with algorithm-estimated SD velocities. The findings establish the opportunity to exploit the SD velocity as part of the multimodal assessment in neurocritical care.
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Key Words
- 3D, three dimensional
- AC, alternating current
- ADC, apparent diffusion coefficient
- COSBID, Co-Operative Studies on Brain Injury Depolarizations
- CT, computed tomography
- Cytotoxic edema
- DC, direct current
- DWI, diffusion-weighted imaging
- E, electrode
- ECoG, electrocorticography
- FLAIR, fluid-attenuated inversion recovery
- HU, Hounsfield units
- ICH, intracerebral hemorrhage
- IOS, intrinsic optical signal
- Ischemia
- MCA, middle cerebral artery
- MHS, malignant hemispheric stroke
- MPRAGE, magnetization prepared rapid gradient echo
- MRI, magnetic resonance imaging
- NO, nitric oxide
- PTDDD, peak total SD-induced depression duration of a recording day
- R_diff, radius difference
- SAH, subarachnoid hemorrhage
- SD, spreading depolarization
- SPC, slow potential change
- Spreading depression
- Stroke
- Subarachnoid hemorrhage
- TBI, traumatic brain injury
- TOAD, time-of-SD-arrival-difference
- Traumatic brain injury
- V_diff, velocity difference
- WFNS, World Federation of Neurosurgical Societies
- aSAH, aneurysmal subarachnoid hemorrhage
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Santos E, Sánchez-Porras R, Sakowitz OW, Dreier JP, Dahlem MA. Heterogeneous propagation of spreading depolarizations in the lissencephalic and gyrencephalic brain. J Cereb Blood Flow Metab 2017; 37:2639-2643. [PMID: 28121215 PMCID: PMC5531357 DOI: 10.1177/0271678x16689801] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In the recently published article, "Heterogeneous incidence and propagation of spreading depolarizations," it is shown, in vivo and in vitro, how KCl-induced spreading depolarizations in mouse and rat brains can be highly variable, and that they are not limited, as once thought, to a concentric, isotropic, or homogenous depolarization wave in space or in time. The reported results serve as a link between the different species, and this paper contributes to changing the way in which SD expansion is viewed in the lissencephalic brain. Here, we discuss their results with our previous observations made in the gyrencephalic swine brain, in computer simulations, and in the human brain.
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Affiliation(s)
- Edgar Santos
- 1 Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Renán Sánchez-Porras
- 1 Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Oliver W Sakowitz
- 1 Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.,2 Department of Neurosurgery, Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Jens P Dreier
- 3 Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
| | - Markus A Dahlem
- 4 Department of Physics, Humboldt University of Berlin, Berlin, Germany
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Dreier JP, Fabricius M, Ayata C, Sakowitz OW, William Shuttleworth C, Dohmen C, Graf R, Vajkoczy P, Helbok R, Suzuki M, Schiefecker AJ, Major S, Winkler MKL, Kang EJ, Milakara D, Oliveira-Ferreira AI, Reiffurth C, Revankar GS, Sugimoto K, Dengler NF, Hecht N, Foreman B, Feyen B, Kondziella D, Friberg CK, Piilgaard H, Rosenthal ES, Westover MB, Maslarova A, Santos E, Hertle D, Sánchez-Porras R, Jewell SL, Balança B, Platz J, Hinzman JM, Lückl J, Schoknecht K, Schöll M, Drenckhahn C, Feuerstein D, Eriksen N, Horst V, Bretz JS, Jahnke P, Scheel M, Bohner G, Rostrup E, Pakkenberg B, Heinemann U, Claassen J, Carlson AP, Kowoll CM, Lublinsky S, Chassidim Y, Shelef I, Friedman A, Brinker G, Reiner M, Kirov SA, Andrew RD, Farkas E, Güresir E, Vatter H, Chung LS, Brennan KC, Lieutaud T, Marinesco S, Maas AIR, Sahuquillo J, Dahlem MA, Richter F, Herreras O, Boutelle MG, Okonkwo DO, Bullock MR, Witte OW, Martus P, van den Maagdenberg AMJM, Ferrari MD, Dijkhuizen RM, Shutter LA, Andaluz N, Schulte AP, MacVicar B, Watanabe T, Woitzik J, Lauritzen M, Strong AJ, Hartings JA. Recording, analysis, and interpretation of spreading depolarizations in neurointensive care: Review and recommendations of the COSBID research group. J Cereb Blood Flow Metab 2017; 37:1595-1625. [PMID: 27317657 PMCID: PMC5435289 DOI: 10.1177/0271678x16654496] [Citation(s) in RCA: 260] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 05/04/2016] [Accepted: 05/06/2016] [Indexed: 01/18/2023]
Abstract
Spreading depolarizations (SD) are waves of abrupt, near-complete breakdown of neuronal transmembrane ion gradients, are the largest possible pathophysiologic disruption of viable cerebral gray matter, and are a crucial mechanism of lesion development. Spreading depolarizations are increasingly recorded during multimodal neuromonitoring in neurocritical care as a causal biomarker providing a diagnostic summary measure of metabolic failure and excitotoxic injury. Focal ischemia causes spreading depolarization within minutes. Further spreading depolarizations arise for hours to days due to energy supply-demand mismatch in viable tissue. Spreading depolarizations exacerbate neuronal injury through prolonged ionic breakdown and spreading depolarization-related hypoperfusion (spreading ischemia). Local duration of the depolarization indicates local tissue energy status and risk of injury. Regional electrocorticographic monitoring affords even remote detection of injury because spreading depolarizations propagate widely from ischemic or metabolically stressed zones; characteristic patterns, including temporal clusters of spreading depolarizations and persistent depression of spontaneous cortical activity, can be recognized and quantified. Here, we describe the experimental basis for interpreting these patterns and illustrate their translation to human disease. We further provide consensus recommendations for electrocorticographic methods to record, classify, and score spreading depolarizations and associated spreading depressions. These methods offer distinct advantages over other neuromonitoring modalities and allow for future refinement through less invasive and more automated approaches.
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Affiliation(s)
- Jens P Dreier
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Martin Fabricius
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark
| | - Cenk Ayata
- Neurovascular Research Laboratory, Department of Radiology, and Stroke Service and Neuroscience Intensive Care Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Oliver W Sakowitz
- Department of Neurosurgery, Klinikum Ludwigsburg, Ludwigsburg, Germany
- Department of Neurosurgery, University Hospital, Heidelberg, Germany
| | - C William Shuttleworth
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Christian Dohmen
- Department of Neurology, University of Cologne, Cologne, Germany
- Multimodal Imaging of Brain Metabolism, Max-Planck-Institute for Metabolism Research, Cologne, Germany
| | - Rudolf Graf
- Multimodal Imaging of Brain Metabolism, Max-Planck-Institute for Metabolism Research, Cologne, Germany
| | - Peter Vajkoczy
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurosurgery, Charité University Medicine Berlin, Berlin, Germany
| | - Raimund Helbok
- Department of Neurology, Neurocritical Care Unit, Medical University Innsbruck, Innsbruck, Austria
| | - Michiyasu Suzuki
- Department of Neurosurgery, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Alois J Schiefecker
- Department of Neurology, Neurocritical Care Unit, Medical University Innsbruck, Innsbruck, Austria
| | - Sebastian Major
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurology, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Maren KL Winkler
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
| | - Eun-Jeung Kang
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Denny Milakara
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
| | - Ana I Oliveira-Ferreira
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Clemens Reiffurth
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
| | - Gajanan S Revankar
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
| | - Kazutaka Sugimoto
- Department of Neurosurgery, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
| | - Nora F Dengler
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurosurgery, Charité University Medicine Berlin, Berlin, Germany
| | - Nils Hecht
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurosurgery, Charité University Medicine Berlin, Berlin, Germany
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, Neurocritical Care Division, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Bart Feyen
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | | | | | - Henning Piilgaard
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark
| | - Eric S Rosenthal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - M Brandon Westover
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anna Maslarova
- Department of Neurosurgery, University Hospital and University of Bonn, Bonn, Germany
| | - Edgar Santos
- Department of Neurosurgery, University Hospital, Heidelberg, Germany
| | - Daniel Hertle
- Department of Neurosurgery, University Hospital, Heidelberg, Germany
| | | | - Sharon L Jewell
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Baptiste Balança
- Inserm U10128, CNRS UMR5292, Lyon Neuroscience Research Center, Team TIGER, Lyon, France
- Université Claude Bernard, Lyon, France
| | - Johannes Platz
- Department of Neurosurgery, Goethe-University, Frankfurt, Germany
| | - Jason M Hinzman
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Janos Lückl
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
| | - Karl Schoknecht
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Experimental Neurology, Charité University Medicine Berlin, Berlin, Germany
- Neuroscience Research Center, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Schöll
- Department of Neurosurgery, University Hospital, Heidelberg, Germany
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Christoph Drenckhahn
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Neurological Center, Segeberger Kliniken, Bad Segeberg, Germany
| | - Delphine Feuerstein
- Multimodal Imaging of Brain Metabolism, Max-Planck-Institute for Metabolism Research, Cologne, Germany
| | - Nina Eriksen
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
- Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Viktor Horst
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neuroradiology, Charité University Medicine Berlin, Berlin, Germany
| | - Julia S Bretz
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neuroradiology, Charité University Medicine Berlin, Berlin, Germany
| | - Paul Jahnke
- Department of Neuroradiology, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Scheel
- Department of Neuroradiology, Charité University Medicine Berlin, Berlin, Germany
| | - Georg Bohner
- Department of Neuroradiology, Charité University Medicine Berlin, Berlin, Germany
| | - Egill Rostrup
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Bente Pakkenberg
- Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital, Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Panum Institute, University of Copenhagen, Copenhagen, Denmark
| | - Uwe Heinemann
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Neuroscience Research Center, Charité University Medicine Berlin, Berlin, Germany
| | - Jan Claassen
- Neurocritical Care, Columbia University College of Physicians & Surgeons, New York, NY, USA
| | - Andrew P Carlson
- Department of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Christina M Kowoll
- Department of Neurology, University of Cologne, Cologne, Germany
- Multimodal Imaging of Brain Metabolism, Max-Planck-Institute for Metabolism Research, Cologne, Germany
| | - Svetlana Lublinsky
- Department of Physiology and Cell Biology, Zlotowski Center for Neuroscience, Beer-Sheva, Israel
- Department of Neuroradiology, Soroka University Medical Center and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Yoash Chassidim
- Department of Physiology and Cell Biology, Zlotowski Center for Neuroscience, Beer-Sheva, Israel
- Department of Neuroradiology, Soroka University Medical Center and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ilan Shelef
- Department of Neuroradiology, Soroka University Medical Center and Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Alon Friedman
- Department of Physiology and Cell Biology, Zlotowski Center for Neuroscience, Beer-Sheva, Israel
- Department of Medical Neuroscience, Faculty of Medicine, Dalhousie University, Halifax, Canada
| | - Gerrit Brinker
- Department of Neurosurgery, University of Cologne, Cologne, Germany
| | - Michael Reiner
- Department of Neurosurgery, University of Cologne, Cologne, Germany
| | - Sergei A Kirov
- Department of Neurosurgery and Brain and Behavior Discovery Institute, Medical College of Georgia, Augusta, GA, USA
| | - R David Andrew
- Department of Biomedical & Molecular Sciences, Queen’s University, Kingston, Canada
| | - Eszter Farkas
- Department of Medical Physics and Informatics, Faculty of Medicine, and Faculty of Science and Informatics, University of Szeged, Szeged, Hungary
| | - Erdem Güresir
- Department of Neurosurgery, University Hospital and University of Bonn, Bonn, Germany
| | - Hartmut Vatter
- Department of Neurosurgery, University Hospital and University of Bonn, Bonn, Germany
| | - Lee S Chung
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - KC Brennan
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Thomas Lieutaud
- Inserm U10128, CNRS UMR5292, Lyon Neuroscience Research Center, Team TIGER, Lyon, France
- Université Claude Bernard, Lyon, France
| | - Stephane Marinesco
- Inserm U10128, CNRS UMR5292, Lyon Neuroscience Research Center, Team TIGER, Lyon, France
- AniRA-Neurochem Technological Platform, Lyon, France
| | - Andrew IR Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Juan Sahuquillo
- Department of Neurosurgery, Neurotraumatology and Neurosurgery Research Unit (UNINN), Vall d’Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Frank Richter
- Institute of Physiology I/Neurophysiology, Friedrich Schiller University Jena, Jena, Germany
| | - Oscar Herreras
- Department of Systems Neuroscience, Cajal Institute-CSIC, Madrid, Spain
| | | | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - M Ross Bullock
- Department of Neurological Surgery, University of Miami, Miami, FL, USA
| | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - Peter Martus
- Institute for Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen, Germany
| | - Arn MJM van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Rick M Dijkhuizen
- Center for Image Sciences, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Lori A Shutter
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Department of Critical Care Medicine and Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Norberto Andaluz
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Mayfield Clinic, Cincinnati, OH, USA
| | - André P Schulte
- Department of Spinal Surgery, St. Franziskus Hospital Cologne, Cologne, Germany
| | - Brian MacVicar
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Johannes Woitzik
- Center for Stroke Research Berlin, Charité University Medicine Berlin, Berlin, Germany
- Department of Neurosurgery, Charité University Medicine Berlin, Berlin, Germany
| | - Martin Lauritzen
- Department of Clinical Neurophysiology, Rigshospitalet, Copenhagen, Denmark
- Department of Neuroscience and Pharmacology, Panum Institute, University of Copenhagen, Copenhagen, Denmark
| | - Anthony J Strong
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jed A Hartings
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Mayfield Clinic, Cincinnati, OH, USA
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Sánchez-Porras R, Santos E, Schöll M, Kunzmann K, Stock C, Silos H, Unterberg AW, Sakowitz OW. Ketamine modulation of the haemodynamic response to spreading depolarization in the gyrencephalic swine brain. J Cereb Blood Flow Metab 2017; 37:1720-1734. [PMID: 27126324 PMCID: PMC5435283 DOI: 10.1177/0271678x16646586] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/17/2016] [Accepted: 03/20/2016] [Indexed: 11/16/2022]
Abstract
Spreading depolarization (SD) generates significant alterations in cerebral haemodynamics, which can have detrimental consequences on brain function and integrity. Ketamine has shown an important capacity to modulate SD; however, its impact on SD haemodynamic response is incompletely understood. We investigated the effect of two therapeutic ketamine dosages, a low-dose of 2 mg/kg/h and a high-dose of 4 mg/kg/h, on the haemodynamic response to SD in the gyrencephalic swine brain. Cerebral blood volume, pial arterial diameter and cerebral blood flow were assessed through intrinsic optical signal imaging and laser-Doppler flowmetry. Our findings indicate that frequent SDs caused a persistent increase in the baseline pial arterial diameter, which can lead to a diminished capacity to further dilate. Ketamine infused at a low-dose reduced the hyperemic/vasodilative response to SD; however, it did not alter the subsequent oligemic/vasoconstrictive response. This low-dose did not prevent the baseline diameter increase and the diminished dilative capacity. Only infusion of ketamine at a high-dose suppressed SD and the coupled haemodynamic response. Therefore, the haemodynamic response to SD can be modulated by continuous infusion of ketamine. However, its use in pathological models needs to be explored to corroborate its possible clinical benefit.
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Affiliation(s)
| | - Edgar Santos
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Michael Schöll
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Kevin Kunzmann
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Christian Stock
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Humberto Silos
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas W Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Oliver W Sakowitz
- Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
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Lauritzen M, Strong AJ. 'Spreading depression of Leão' and its emerging relevance to acute brain injury in humans. J Cereb Blood Flow Metab 2017; 37:1553-1570. [PMID: 27354095 PMCID: PMC5435290 DOI: 10.1177/0271678x16657092] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
A new research field in translational neuroscience has opened as a result of the recognition since 2002 that "spreading depression of Leão" can be detected in many patients with acute brain injury, whether vascular and spontaneous, or traumatic in origin, as well as in those many individuals experiencing the visual (or sensorimotor) aura of migraine. In this review, we trace from their first description in rabbits through to their detection and study in migraine and the injured human brain, and from our personal perspectives, the evolution of understanding of the importance of spread of mass depolarisations in cerebral grey matter. Detection of spontaneous depolarisations occurring and spreading in the periphery or penumbra of experimental focal cortical ischemic lesions and of their adverse effects on the cerebral cortical microcirculation and on the tissue glucose and oxygen pools has led to clearer concepts of how ischaemic and traumatic lesions evolve in the injured human brain, and of how to seek to improve clinical management and outcome. Recognition of the likely fundamental significance of spreading depolarisations for this wide range of serious acute encephalopathies in humans provides a powerful case for a fresh examination of neuroprotection strategies.
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Affiliation(s)
- Martin Lauritzen
- 1 Department of Neuroscience and Pharmacology and Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark.,2 Department of Clinical Neurophysiology, Rigshospitalet, Glostrup, Denmark
| | - Anthony J Strong
- 3 Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Schöll MJ, Santos E, Sanchez-Porras R, Kentar M, Gramer M, Silos H, Zheng Z, Gang Y, Strong AJ, Graf R, Unterberg A, Sakowitz OW, Dickhaus H. Large field-of-view movement-compensated intrinsic optical signal imaging for the characterization of the haemodynamic response to spreading depolarizations in large gyrencephalic brains. J Cereb Blood Flow Metab 2017; 37:1706-1719. [PMID: 27677673 PMCID: PMC5435296 DOI: 10.1177/0271678x16668988] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Haemodynamic responses to spreading depolarizations (SDs) have an important role during the development of secondary brain damage. Characterization of the haemodynamic responses in larger brains, however, is difficult due to movement artefacts. Intrinsic optical signal (IOS) imaging, laser speckle flowmetry (LSF) and electrocorticography were performed in different configurations in three groups of in total 18 swine. SDs were elicited by topical application of KCl or occurred spontaneously after middle cerebral artery occlusion. Movement artefacts in IOS were compensated by an elastic registration algorithm during post-processing. Using movement-compensated IOS, we were able to differentiate between four components of optical changes, corresponding closely with haemodynamic variations measured by LSF. Compared with ECoG and LSF, our setup provides higher spatial and temporal resolution, as well as a better signal-to-noise ratio. Using IOS alone, we could identify the different zones of infarction in a large gyrencephalic middle cerebral artery occlusion pig model. We strongly suggest movement-compensated IOS for the investigation of the role of haemodynamic responses to SDs during the development of secondary brain damage and in particular to examine the effect of potential therapeutic interventions in gyrencephalic brains.
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Affiliation(s)
- Michael Johannes Schöll
- 1 Institute of Medical Biometry and Informatics, University Hospital Heidelberg, Heidelberg, Germany.,2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Edgar Santos
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Renan Sanchez-Porras
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Modar Kentar
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Markus Gramer
- 3 Max Planck Institute for Metabolism Research, Cologne, Germany
| | - Humberto Silos
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Zelong Zheng
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Yuan Gang
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Anthony John Strong
- 4 Department of Basic and Clinical Neuroscience, King's College London, London, UK
| | - Rudolf Graf
- 3 Max Planck Institute for Metabolism Research, Cologne, Germany
| | - Andreas Unterberg
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Oliver W Sakowitz
- 2 Department of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Hartmut Dickhaus
- 1 Institute of Medical Biometry and Informatics, University Hospital Heidelberg, Heidelberg, Germany
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49
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Kaufmann D, Theriot JJ, Zyuzin J, Service CA, Chang JC, Tang YT, Bogdanov VB, Multon S, Schoenen J, Ju YS, Brennan KC. Heterogeneous incidence and propagation of spreading depolarizations. J Cereb Blood Flow Metab 2017; 37:1748-1762. [PMID: 27562866 PMCID: PMC5435294 DOI: 10.1177/0271678x16659496] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 05/27/2016] [Accepted: 06/06/2016] [Indexed: 12/17/2022]
Abstract
Spreading depolarizations are implicated in a diverse set of neurologic diseases. They are unusual forms of nervous system activity in that they propagate very slowly and approximately concentrically, apparently not respecting the anatomic, synaptic, functional, or vascular architecture of the brain. However, there is evidence that spreading depolarizations are not truly concentric, isotropic, or homogeneous, either in space or in time. Here we present evidence from KCl-induced spreading depolarizations, in mouse and rat, in vivo and in vitro, showing the great variability that these depolarizations can exhibit. This variability can help inform the mechanistic understanding of spreading depolarizations, and it has implications for their phenomenology in neurologic disease.
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Affiliation(s)
- Dan Kaufmann
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Jeremy J Theriot
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Jekaterina Zyuzin
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - C Austin Service
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Joshua C Chang
- Rehabilitation Medicine Department, Mark O. Hatfield Clinical Research Center, National Institutes of Health, Bethesda, MD, USA
- Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA
| | - Y Tanye Tang
- Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, CA, USA
| | - Vladimir B Bogdanov
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Department of Neurology, University of Liège, Liège, Belgium
| | - Sylvie Multon
- Department of Neurology, University of Liège, Liège, Belgium
| | - Jean Schoenen
- Department of Neurology, University of Liège, Liège, Belgium
| | - Y Sungtaek Ju
- Department of Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, CA, USA
| | - KC Brennan
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
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Abstract
PURPOSE OF REVIEW Spreading depression (SD) is a wave of simultaneous and near-complete depolarization of virtually all cells in brain tissue associated with a transient "depression" of all spontaneous or evoked electrical activity in the brain. SD is widely accepted as the pathophysiological event underlying migraine aura and may play a role in headache pathogenesis in secondary headache disorders such as ischemic stroke, subarachnoid or intracerebral hemorrhage, traumatic brain injury, and epilepsy. Here, we provide an overview of the pathogenic mechanisms and propose plausible hypotheses on the involvement of SD in primary and secondary headache disorders. RECENT FINDINGS SD can activate downstream trigeminovascular nociceptive pathways to explain the cephalgia in migraine, and possibly in secondary headache disorders as well. In healthy, well-nourished tissue (such as migraine), the intense transmembrane ionic shifts, the cell swelling, and the metabolic and hemodynamic responses associated with SD do not cause tissue injury; however, when SD occurs in metabolically compromised tissue (e.g., in ischemic stroke, intracranial hemorrhage, or traumatic brain injury), it can lead to irreversible depolarization, injury, and neuronal death. Recent non-invasive technologies to detect SDs in human brain injury may aid in the investigation of SD in headache disorders in which invasive recordings are not possible. SD explains migraine aura and progression of neurological deficits associated with other neurological disorders. Studying the nature of SD in headache disorders might provide pathophysiological insights for disease and lead to targeted therapies in the era of precision medicine.
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