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Raghavan V, Sobczyk O, Sayin ES, Poublanc J, Skanda A, Duffin J, Venkatraghavan L, Fisher JA, Mikulis DJ. Assessment of Cerebrovascular Reactivity Using CO 2 -BOLD MRI: A 15-Year, Single Center Experience. J Magn Reson Imaging 2023. [PMID: 38135486 DOI: 10.1002/jmri.29176] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Cerebrovascular reactivity (CVR) is a measure of the change in cerebral blood flow (CBF) in response to a vasoactive challenge. It is a useful indicator of the brain's vascular health. PURPOSE To evaluate the factors that influence successful and unsuccessful CVR examinations using precise arterial and end-tidal partial pressure of CO2 control during blood oxygen level-dependent (BOLD) MRI. STUDY TYPE Retrospective. SUBJECTS Patients that underwent a CVR between October 2005 and May 2021 were studied (total of 1162 CVR examinations). The mean (±SD) age was 46.1 (±18.8) years, and 352 patients (43%) were female. FIELD STRENGTH/SEQUENCE 3 T; T1-weighted images, T2*-weighed two-dimensional gradient-echo sequence with standard echo-planar readout. ASSESSMENT Measurements were obtained following precise hypercapnic stimuli using BOLD MRI as a surrogate of CBF. Successful CVR examinations were defined as those where: 1) patients were able to complete CVR testing, and 2) a clinically useful CVR map was generated. Unsuccessful examinations were defined as those where patients were not able to complete the CVR examination or the CVR maps were judged to be unreliable due to, for example, excessive head motion, and poor PET CO2 targeting. STATISTICAL ANALYSIS Successful and unsuccessful CVR examinations between hypercapnic stimuli, and between different patterns of stimulus were compared with Chi-Square tests. Interobserver variability was determined by using the intraclass correlation coefficient (P < 0.05 is significant). RESULTS In total 1115 CVR tests in 662 patients were included in the final analysis. The success rate of generating CVR maps was 90.8% (1012 of 1115). Among the different hypercapnic stimuli, those containing a step plus a ramp protocol was the most successful (95.18%). Among the unsuccessful examinations (9.23%), most were patient related (89.3%), the most common of which was difficulty breathing. DATA CONCLUSION CO2 -BOLD MRI CVR studies are well tolerated with a high success rate. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Vishvak Raghavan
- School of Computer Science, McGill University, Montreal, Quebec, Canada
| | - Olivia Sobczyk
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
| | - Ece Su Sayin
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Julien Poublanc
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
| | - Abby Skanda
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
| | - James Duffin
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Lashmi Venkatraghavan
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Joseph A Fisher
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - David J Mikulis
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada
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Schaffert J, Chiang HS, Fatima H, LoBue C, Hart J, Cullum CM. History of traumatic brain injury does not alter course of neurocognitive decline in older adults with and without cognitive impairment. Neuropsychology 2023; 37:923-932. [PMID: 37023289 PMCID: PMC10556197 DOI: 10.1037/neu0000892] [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] [Indexed: 04/08/2023] Open
Abstract
OBJECTIVE Traumatic brain injury (TBI) history is associated with dementia risk, but it is unclear whether TBI history significantly hastens neurocognitive decline in older adults. METHOD Data were derived from the National Alzheimer's Coordinating Center (NACC) data set. Participants with a history of TBI (TBI +; n = 1,467) were matched to individuals without a history of TBI (TBI-; n = 1,467) based on age (50-97, M = 71.61, SD = 8.40), sex, education, race, ethnicity, cognitive diagnosis, functional decline, number of Apolipoprotein ε4 (APOE ε4) alleles, and number of annual visits (3-6). Mixed linear models were used to assess longitudinal neuropsychological test composite scores of executive functioning/attention/speed, language, and memory in TBI + and TBI- participants. Interactions between TBI and demographics, APOE ε4 status, and cognitive diagnosis were also examined. RESULTS Longitudinal neuropsychological functioning did not differ between TBI groups (p's > .001). There was a significant three-way interaction (age, TBI history, time) in language (F[20, 5750.1] = 3.133, p < .001) and memory performance (F[20, 6580.8] = 3.386, p < .001), but post hoc analyses revealed TBI history was not driving this relationship (all p's > .096). No significant interactions were observed between TBI history and sex, education, race/ethnicity, number of APOE ε4 alleles, or cognitive diagnosis (p's > .001). CONCLUSIONS Findings suggest TBI history, regardless of demographic factors, APOE ε4 status, or cognitive diagnosis, does not alter the course of neurocognitive functioning later-in-life in older adults with or without cognitive impairment. Future clinicopathological longitudinal studies that well-characterize head injuries and the associated clinical course are needed to help clarify the mechanism in which TBI may increase dementia risk. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Jeff Schaffert
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, U.S
| | - Hsueh-Sheng Chiang
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Callier Center, School of Behavioral and Brain Sciences, UT Dallas, Dallas, TX, U.S
| | - Hudaisa Fatima
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, U.S
| | - Christian LoBue
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, U.S
| | - John Hart
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Callier Center, School of Behavioral and Brain Sciences, UT Dallas, Dallas, TX, U.S
| | - C. Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, U.S
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, U.S
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Wang R, Poublanc J, Crawley AP, Sobczyk O, Kneepkens S, Mcketton L, Tator C, Wu R, Mikulis DJ. Cerebrovascular reactivity changes in acute concussion: a controlled cohort study. Quant Imaging Med Surg 2021; 11:4530-4542. [PMID: 34737921 DOI: 10.21037/qims-20-1296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/18/2021] [Indexed: 11/06/2022]
Abstract
Background Evidence suggests that cerebrovascular reactivity (CVR) increases within the first week after the incidence of concussion, indicating a disruption of normal autoregulation. We sought to extend these findings by investigating the effects of acute concussion on the speed of CVR response and by visualizing global and regional impairments in individual patients with acute concussion. Methods Twelve patients aged 18-40 years who experienced concussion less than a week before this prospective study were included. Twelve age and sex-matched healthy subjects constituted the control group. In all subjects, CVR was assessed using blood oxygenation level-dependent (BOLD) echo-planar imaging with a 3.0T MRI scanner, in combination with changes in end-tidal partial pressure of CO2 (PETCO2). In each subject, we calculated the CVR amplitude and CVR response time in the gray and white matter using a step and ramp PETCO2 challenge. In addition, a separate group of 39 healthy controls who underwent the same evaluation was used to create atlases with voxel-wise mean and standard deviation of CVR amplitude and CVR response time. This allowed us to convert each metric of the 12 patients with concussion and the 12 healthy controls into z-score maps. These maps were then used to generate and compare z-scores for each of the two groups. Group differences were calculated using an unpaired t-test. Results All studies were well tolerated without any serious adverse events. Anatomical MRI was normal in all study subjects. No differences in CO2 stimulus and O2 targeting were observed between the two participant groups during BOLD MRI. With regard to the gray matter, the CVR magnitude step (P=0.117) and ramp + 10 (P=0.085) were not significantly different between patients with concussion and healthy controls. However, the tau value was significantly lower in patients with concussion than in the healthy controls (P=0.04). With regard to the white matter, the CVR magnitude step (P=0.003) and ramp + 10 (P=0.031) were significantly higher and the tau value (P=0.024) was significantly shorter in patients with concussion than in healthy controls. After z-score transformation, the z tau value was significantly lower in patients with concussion than in healthy controls (Grey matter P=0.021, White matter P=0.003). Comparison of the three parameters, z ramp + 10, z step, and z tau, between the two groups showed that z step (Grey matter P=0.035, White matter P=0.005) was the most sensitive parameter and that z ramp + 10 (Grey matter P=0.073, White matter P=0.126) was the least sensitive parameter. Conclusions Concussion is associated with patient-specific abnormalities in BOLD cerebrovascular responsiveness that occur in the setting of normal global CVR. This study demonstrates that the measurement of CVR using BOLD MRI and precise CO2 control is a safe, reliable, reproducible, and clinically useful method for evaluating the state of patients with concussion. It has the potential to be an important tool for assessing the severity and duration of symptoms after concussion.
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Affiliation(s)
- Runrun Wang
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada.,Department of Neurology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan, China.,Department of Medical Imaging, the Second Affiliated Hospital, Medical College of Shantou University, Shantou, China
| | - Julien Poublanc
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Adrian P Crawley
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Olivia Sobczyk
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Sander Kneepkens
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Larissa Mcketton
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Charles Tator
- Department of Surgery, Division of Neurosurgery, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
| | - Renhua Wu
- Department of Medical Imaging, the Second Affiliated Hospital, Medical College of Shantou University, Shantou, China
| | - David J Mikulis
- Joint Department of Medical Imaging, University Health Network, The Toronto Western Hospital, The University of Toronto, Toronto, Ontario, Canada
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Haber M, Amyot F, Lynch CE, Sandsmark DK, Kenney K, Werner JK, Moore C, Flesher K, Woodson S, Silverman E, Chou Y, Pham D, Diaz-Arrastia R. Imaging biomarkers of vascular and axonal injury are spatially distinct in chronic traumatic brain injury. J Cereb Blood Flow Metab 2021; 41:1924-1938. [PMID: 33444092 PMCID: PMC8327117 DOI: 10.1177/0271678x20985156] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/07/2020] [Accepted: 12/06/2020] [Indexed: 11/17/2022]
Abstract
Traumatic Brain Injury (TBI) is associated with both diffuse axonal injury (DAI) and diffuse vascular injury (DVI), which result from inertial shearing forces. These terms are often used interchangeably, but the spatial relationships between DAI and DVI have not been carefully studied. Multimodal magnetic resonance imaging (MRI) can help distinguish these injury mechanisms: diffusion tensor imaging (DTI) provides information about axonal integrity, while arterial spin labeling (ASL) can be used to measure cerebral blood flow (CBF), and the reactivity of the Blood Oxygen Level Dependent (BOLD) signal to a hypercapnia challenge reflects cerebrovascular reactivity (CVR). Subjects with chronic TBI (n = 27) and healthy controls (n = 14) were studied with multimodal MRI. Mean values of mean diffusivity (MD), fractional anisotropy (FA), CBF, and CVR were extracted for pre-determined regions of interest (ROIs). Normalized z-score maps were generated from the pool of healthy controls. Abnormal ROIs in one modality were not predictive of abnormalities in another. Approximately 9-10% of abnormal voxels for CVR and CBF also showed an abnormal voxel value for MD, while only 1% of abnormal CVR and CBF voxels show a concomitant abnormal FA value. These data indicate that DAI and DVI represent two distinct TBI endophenotypes that are spatially independent.
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Affiliation(s)
- Margalit Haber
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Franck Amyot
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Cillian E Lynch
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Danielle K Sandsmark
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Kimbra Kenney
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, MD, USA
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - John K Werner
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Carol Moore
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Kelley Flesher
- Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Sarah Woodson
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Erika Silverman
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Yiyu Chou
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Dzung Pham
- Center for Neuroscience and Regenerative Medicine, Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Ramon Diaz-Arrastia
- Department of Neurology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
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5
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Sobczyk O, Sayin ES, Sam K, Poublanc J, Duffin J, Fisher JA, Mikulis DJ. The Reproducibility of Cerebrovascular Reactivity Across MRI Scanners. Front Physiol 2021; 12:668662. [PMID: 34025455 PMCID: PMC8134667 DOI: 10.3389/fphys.2021.668662] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 04/12/2021] [Indexed: 11/13/2022] Open
Abstract
Cerebrovascular reactivity (CVR) is defined as the ratio of the cerebral blood flow (CBF) response to an increase in a vasoactive stimulus. We used changes in blood oxygenation level-dependent (BOLD) MRI as surrogates for changes of CBF, and standardized quantitative changes in arterial partial pressure of carbon dioxide as the stimulus. Despite uniform stimulus and test conditions, differences in voxel-wise BOLD changes between testing sites may remain, attributable to physiologic and machine variability. We generated a reference atlas of normal CVR metrics (voxel-wise mean and SD) for each of two sites. We hypothesized that there would be no significant differences in CVR between the two atlases enabling each atlas to be used at any site. A total of 69 healthy subjects were tested to create site-specific atlases, with 20 of those individuals tested at both sites. 38 subjects were scanned at Site 1 (17F, 37.5 ± 16.8 y) and 51 subjects were tested at Site 2 (22F, 40.9 ± 17.4 y). MRI platforms were: Site 1, 3T Magnetom Skyra Siemens scanner with 20-channel head and neck coil; and Site 2, 3T HDx Signa GE scanner with 8-channel head coil. To construct the atlases, test results of individual subjects were co-registered into a standard space and voxel-wise mean and SD CVR metrics were calculated. Map comparisons of z scores found no significant differences between white matter or gray matter in the 20 subjects scanned at both sites when analyzed with either atlas. We conclude that individual CVR testing, and atlas generation are compatible across sites provided that standardized respiratory stimuli and BOLD MRI scan parameters are used. This enables the use of a single atlas to score the normality of CVR metrics across multiple sites.
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Affiliation(s)
- Olivia Sobczyk
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada.,Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada
| | - Ece Su Sayin
- Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Kevin Sam
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Julien Poublanc
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada
| | - James Duffin
- Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Joseph A Fisher
- Department of Anaesthesia and Pain Management, University Health Network, Toronto, ON, Canada.,Department of Physiology, University of Toronto, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - David J Mikulis
- Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
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Sleight E, Stringer MS, Marshall I, Wardlaw JM, Thrippleton MJ. Cerebrovascular Reactivity Measurement Using Magnetic Resonance Imaging: A Systematic Review. Front Physiol 2021; 12:643468. [PMID: 33716793 PMCID: PMC7947694 DOI: 10.3389/fphys.2021.643468] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/01/2021] [Indexed: 12/27/2022] Open
Abstract
Cerebrovascular reactivity (CVR) magnetic resonance imaging (MRI) probes cerebral haemodynamic changes in response to a vasodilatory stimulus. CVR closely relates to the health of the vasculature and is therefore a key parameter for studying cerebrovascular diseases such as stroke, small vessel disease and dementias. MRI allows in vivo measurement of CVR but several different methods have been presented in the literature, differing in pulse sequence, hardware requirements, stimulus and image processing technique. We systematically reviewed publications measuring CVR using MRI up to June 2020, identifying 235 relevant papers. We summarised the acquisition methods, experimental parameters, hardware and CVR quantification approaches used, clinical populations investigated, and corresponding summary CVR measures. CVR was investigated in many pathologies such as steno-occlusive diseases, dementia and small vessel disease and is generally lower in patients than in healthy controls. Blood oxygen level dependent (BOLD) acquisitions with fixed inspired CO2 gas or end-tidal CO2 forcing stimulus are the most commonly used methods. General linear modelling of the MRI signal with end-tidal CO2 as the regressor is the most frequently used method to compute CVR. Our survey of CVR measurement approaches and applications will help researchers to identify good practice and provide objective information to inform the development of future consensus recommendations.
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Affiliation(s)
- Emilie Sleight
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom,UK Dementia Research Institute, Edinburgh, United Kingdom
| | - Michael S. Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom,UK Dementia Research Institute, Edinburgh, United Kingdom,*Correspondence: Michael S. Stringer
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom,UK Dementia Research Institute, Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom,UK Dementia Research Institute, Edinburgh, United Kingdom
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom,UK Dementia Research Institute, Edinburgh, United Kingdom
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7
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Shafi R, Poublanc J, Venkatraghavan L, Crawley AP, Sobczyk O, McKetton L, Bayley M, Chandra T, Foster E, Ruttan L, Comper P, Tartaglia MC, Tator CH, Duffin J, Mutch WA, Fisher J, Mikulis DJ. A Promising Subject-Level Classification Model for Acute Concussion Based on Cerebrovascular Reactivity Metrics. J Neurotrauma 2020; 38:1036-1047. [PMID: 33096952 DOI: 10.1089/neu.2020.7272] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Concussion imaging research has primarily focused on neuronal disruption with lesser emphasis directed toward vascular dysfunction. However, blood flow metrics may be more sensitive than measures of neuronal integrity. Vascular dysfunction can be assessed by measuring cerebrovascular reactivity (CVR)-the change in cerebral blood flow per unit change in vasodilatory stimulus. CVR metrics, including speed and magnitude of flow responses to a standardized well-controlled vasoactive stimulus, are potentially useful for assessing individual subjects following concussion given that blood flow dysregulation is known to occur with traumatic brain injury. We assessed changes in CVR metrics to a standardized vasodilatory stimulus during the acute phase of concussion. Using a case control design, 20 concussed participants and 20 healthy controls (HCs) underwent CVR assessment measuring blood oxygen-level dependent (BOLD) magnetic resonance imaging using precise changes in end-tidal partial pressure of CO2 (PETCO2). Metrics were calculated for the whole brain, gray matter (GM), and white matter (WM) using sex-stratification. A leave-one-out receiver operating characteristic (ROC) analysis classified concussed from HCs based on CVR metrics. CVR magnitude was greater and speed of response faster in concussed participants relative to HCs, with WM showing higher classification accuracy compared with GM. ROC analysis for WM-CVR metrics revealed an area under the curve of 0.94 in males and 0.90 in females for speed and magnitude of response respectively. These greater than normal responses to a vasodilatory stimulus warrant further investigation to compare the predictive ability of CVR metrics against structural injury metrics for diagnosis and prognosis in acute concussion.
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Affiliation(s)
- Reema Shafi
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Julien Poublanc
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Lashmi Venkatraghavan
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Adrian P Crawley
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Olivia Sobczyk
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Larissa McKetton
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Mark Bayley
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Tharshini Chandra
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Evan Foster
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Lesley Ruttan
- Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.,Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.,Canadian Concussion Center, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Paul Comper
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada.,Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Department of Medicine (Neurology), University of Toronto, Toronto, Ontario, Canada.,Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.,Tanz Center for Research in Neurodegenerative Diseases, Toronto, Ontario, Canada.,Canadian Concussion Center, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Charles H Tator
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada.,Canadian Concussion Center, Toronto Western Hospital, Toronto, Ontario, Canada
| | - James Duffin
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - W Alan Mutch
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Joseph Fisher
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - David J Mikulis
- Joint Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.,Canadian Concussion Center, Toronto Western Hospital, Toronto, Ontario, Canada
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8
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Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Cerebrovascular Reactivity After Sport Concussion: From Acute Injury to 1 Year After Medical Clearance. Front Neurol 2020; 11:558. [PMID: 32760336 PMCID: PMC7371921 DOI: 10.3389/fneur.2020.00558] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/15/2020] [Indexed: 01/26/2023] Open
Abstract
Neuroimaging has identified significant disturbances in cerebrovascular reactivity (CVR) in the early symptomatic phase of sport-related concussion. However, less is known about how whole-brain alterations in CVR evolve after concussion and whether they remain present beyond medical clearance to return to play (RTP). In the present study, CVR was evaluated using blood-oxygenation-level-dependent functional magnetic resonance imaging (BOLD fMRI) during a respiratory challenge. Imaging data were collected for 110 university-level athletes, including 39 concussed athletes and 71 athletic controls. The concussed athletes were imaged at the acute phase of injury (1–7 days post-injury), the subacute phase (8-14 days post-injury), medical clearance to RTP, 1 month post-RTP, and 1 year post-RTP. Enhanced negative BOLD response to controlled breathing was seen at acute injury, with attenuation of the effect mainly occurring by 1 year post-RTP. Secondary analyses showed that greater symptom severity and prolonged recovery were associated with enhanced BOLD response in the acute phase of injury, but a more attenuated BOLD response in the subacute phase. This study provides novel information characterizing the CVR response after concussion and shows CVR to be a sensitive technique for evaluating long-term brain recovery.
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Affiliation(s)
- Nathan W Churchill
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, ON, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, ON, Canada
| | - Michael G Hutchison
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, ON, Canada.,Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada
| | - Simon J Graham
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Physical Sciences Platform, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Tom A Schweizer
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, ON, Canada.,Neuroscience Research Program, St. Michael's Hospital, Toronto, ON, Canada.,Faculty of Medicine (Neurosurgery) University of Toronto, Toronto, ON, Canada.,The Institute of Biomaterials & Biomedical Engineering (IBBME) at the University of Toronto, Toronto, ON, Canada
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Champagne AA, Coverdale NS, Ross A, Chen Y, Murray CI, Dubowitz D, Cook DJ. Multi-modal normalization of resting-state using local physiology reduces changes in functional connectivity patterns observed in mTBI patients. Neuroimage Clin 2020; 26:102204. [PMID: 32058317 PMCID: PMC7013121 DOI: 10.1016/j.nicl.2020.102204] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 02/02/2020] [Accepted: 02/03/2020] [Indexed: 12/25/2022]
Abstract
Blood oxygenation level dependent (BOLD) resting-state functional magnetic resonance imaging (rs-fMRI) may serve as a sensitive marker to identify possible changes in the architecture of large-scale networks following mild traumatic brain injury (mTBI). Differences in functional connectivity (FC) measurements derived from BOLD rs-fMRI may however be confounded by changes in local cerebrovascular physiology and neurovascular coupling mechanisms, without changes in the underlying neuronally driven connectivity of networks. In this study, multi-modal neuroimaging data including BOLD rs-fMRI, baseline cerebral blood flow (CBF0) and cerebrovascular reactivity (CVR; acquired using a hypercapnic gas breathing challenge) were collected in 23 subjects with reported mTBI (14.6±14.9 months post-injury) and 27 age-matched healthy controls. Despite no group differences in CVR within the networks of interest (P > 0.05, corrected), significantly higher CBF0 was documented in the mTBI subjects (P < 0.05, corrected), relative to the controls. A normalization method designed to account for differences in CBF0 post-mTBI was introduced to evaluate the effects of such an approach on reported group differences in network connectivity. Inclusion of regional perfusion measurements in the computation of correlation coefficients within and across large-scale networks narrowed the differences in FC between the groups, suggesting that this approach may elucidate unique changes in connectivity post-mTBI while accounting for shared variance with CBF0. Altogether, our results provide a strong paradigm supporting the need to account for changes in physiological modulators of BOLD in order to expand our understanding of the effects of brain injury on large-scale FC of cortical networks.
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Affiliation(s)
- Allen A Champagne
- Centre for Neuroscience Studies, Room 260, Queen's University, Kingston ON K7L 3N6 Canada.
| | - Nicole S Coverdale
- Centre for Neuroscience Studies, Room 260, Queen's University, Kingston ON K7L 3N6 Canada.
| | - Andrew Ross
- Performance Phenomics, 180 John St., Toronto ON M5T 1 × 5 Canada.
| | - Yining Chen
- Centre for Neuroscience Studies, Room 260, Queen's University, Kingston ON K7L 3N6 Canada.
| | | | - David Dubowitz
- Department of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
| | - Douglas J Cook
- Centre for Neuroscience Studies, Room 260, Queen's University, Kingston ON K7L 3N6 Canada; Department of Surgery, Queen's University, Kingston, ON, Canada.
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10
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Co-localized impaired regional cerebrovascular reactivity in chronic concussion is associated with BOLD activation differences during a working memory task. Brain Imaging Behav 2020; 14:2438-2449. [PMID: 31903527 DOI: 10.1007/s11682-019-00194-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The purpose of this study was to quantify differences in blood oxygen level dependent (BOLD) activation on a working memory task, baseline cerebral blood flow (CBF0), and cerebrovascular reactivity (CVR) between participants with and without a history of concussion. A dual-echo pseudo-continuous arterial spin labelling (pCASL) sequence was performed on a group of 10 subjects with a previous concussion (126 ± 15 days prior) and on a control group (n = 10) during a visual working memory protocol. A separate dual-echo pCASL sequence was used to derive CVR and CBF0 measurements from a boxcar hypercapnic breathing protocol. Brain areas with significant activation differences on the working memory task between groups were identified and combined as an aggregate region of interest for CBF and CVR analyses. Areas of reduced BOLD activation during the working memory task in the concussed group included the ventral anterior cingulate cortex (ACC), the medial temporal gyrus (MTG), and the lateral occipital cortex in two loci. A single area of increased activation was located in the parietal operculum. Further analyses of CBF0 and CVR in these regions revealed reduced CVR in the concussed group in the MTG and ACC, while CBF0 did not differ. The differences in CVR between the two groups in these regions suggest that concussive injury may result in microvascular dysfunction. In turn, the decreased BOLD response during the task could be due to altered neurovascular coupling, rather than an impairment in neural activation alone. However, in other regions associated with working memory, unchanged CBF0 and CVR suggests that neural injury also persists after concussion. In the future, BOLD results should be normalized to CVR in order achieve a clearer understanding of the neural and vascular contributions to the differences in the signal.
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11
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Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Evaluating Cerebrovascular Reactivity during the Early Symptomatic Phase of Sport Concussion. J Neurotrauma 2019; 36:1518-1525. [DOI: 10.1089/neu.2018.6024] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Affiliation(s)
- Nathan W. Churchill
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, Ontario, Canada
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Michael G. Hutchison
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, Ontario, Canada
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada
| | - Simon J. Graham
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Sciences, Toronto, Ontario, Canada
| | - Tom A. Schweizer
- Keenan Research Centre of the Li Ka Shing Knowledge Institute at St. Michael's Hospital, Toronto, Ontario, Canada
- Neuroscience Research Program, St. Michael's Hospital, Toronto, Ontario, Canada
- Faculty of Medicine (Neurosurgery), University of Toronto, Toronto, Ontario, Canada
- The Institute of Biomaterials & Biomedical Engineering (IBBME) at the University of Toronto, Toronto, Ontario, Canada
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12
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Purkayastha S, Sorond FA, Lyng S, Frantz J, Murphy MN, Hynan LS, Sabo T, Bell KR. Impaired Cerebral Vasoreactivity Despite Symptom Resolution in Sports-Related Concussion. J Neurotrauma 2019; 36:2385-2390. [PMID: 30693827 DOI: 10.1089/neu.2018.5861] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Traumatic brain injury (TBI) is associated with increased risk of later-life neurodegeneration and dementia. However, the underpinning mechanisms are poorly understood, and secondary injury resulting from perturbed physiological processes plays a significant role. Cerebral vasoreactivity (CVR), a measure of hemodynamic reserve, is known to be impaired in TBI. However, the temporal course of this physiological perturbation is not established. We examined CVR and clinical symptoms on day 3 (T1), day 21 (T2), and day 90 (T3) after concussion in collegiate athletes and cross-sectionally in non-injured controls. Changes in middle cerebral artery blood flow velocity (MCAV; transcranial Doppler ultrasonography) were measured during changes in end-tidal CO2 (PetCO2) at normocapnia, hypercapnia (inspiring 8% CO2), and hypocapnia (hyperventilation). CVR was determined as the slope of the linear relationship and expressed as percent change in MCAV per mmHg change in PetCO2. CVR was attenuated during the acute phase T1 (1.8 ± 0.4U; p = 0.0001), subacute phases T2 (2.0 ± 0.4U; p = 0.0017), and T3 (1.9 ± 0.6U; p = 0.023) post-concussion compared to the controls (2.3 ± 0.3U). Concussed athletes exhibited higher symptom number (2.5 ± 3.0 vs. 12.1 ± 7.0; p < 0.0001) and severity (4.2 ± 6.0 vs. 29.5 ± 23.0; p < 0.0001), higher Patient Health Questionnaire-9 score (2.2 ± 2.0 vs. 9.1 ± 6.0; p = 0.0003) at T1. However, by T2, symptoms had resolved. We show that CVR is impaired as early as 4 days and remains impaired up to 3 months post-injury despite symptom resolution. Persistent perturbations in CVR may therefore be involved in secondary injury. Future studies with a larger sample size and longer follow-up period are needed to validate this finding and delineate the duration of this vulnerable period.
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Affiliation(s)
- Sushmita Purkayastha
- 1Department of Applied Physiology and Wellness, Simmons School of Education and Human Development, Southern Methodist University, Dallas, Texas.,2Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Farzaneh A Sorond
- 3Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Sydney Lyng
- 1Department of Applied Physiology and Wellness, Simmons School of Education and Human Development, Southern Methodist University, Dallas, Texas
| | - Justin Frantz
- 1Department of Applied Physiology and Wellness, Simmons School of Education and Human Development, Southern Methodist University, Dallas, Texas
| | - Megan N Murphy
- 1Department of Applied Physiology and Wellness, Simmons School of Education and Human Development, Southern Methodist University, Dallas, Texas
| | - Linda S Hynan
- 4Department of Clinical Science and Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Tonia Sabo
- 5Department of Pediatrics/Division of Pediatric Neurology & Pain Management, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kathleen R Bell
- 2Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas
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13
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Sankar SB, Pybus AF, Liew A, Sanders B, Shah KJ, Wood LB, Buckley EM. Low cerebral blood flow is a non-invasive biomarker of neuroinflammation after repetitive mild traumatic brain injury. Neurobiol Dis 2018; 124:544-554. [PMID: 30592976 DOI: 10.1016/j.nbd.2018.12.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 12/04/2018] [Accepted: 12/24/2018] [Indexed: 01/19/2023] Open
Abstract
Previous work has shown that non-invasive optical measurement of low cerebral blood flow (CBF) is an acute biomarker of poor long-term cognitive outcome after repetitive mild traumatic brain injury (rmTBI). Herein, we explore the relationship between acute cerebral blood flow and underlying neuroinflammation. Specifically, because neuroinflammation is a driver of secondary injury after TBI, we hypothesized that both glial activation and inflammatory signaling are associated with acute CBF and, by extension, with long-term cognitive outcome after rmTBI. To test this hypothesis, cortical CBF was non-invasively measured in anesthetized mice 4 h after 3 repetitive closed head injuries spaced once-daily, at which time brains were collected. Right hemispheres were fixed for immunohistochemical staining for glial activation markers Iba1 and GFAP while left hemispheres were used to quantify Iba1 and GFAP expression via Western blot as well as 32 cytokines and 21 phospho-proteins in the MAPK, PI3K/Akt, and NF-κB pathways using a Luminex multiplexed immunoassay. N = 8/7 injured/sham C57/black-6 adult male mice were studied. Within the injured group, CBF inversely correlated with Iba1 expression (R = -0.86, p < .01). Further, partial least squares regression analysis revealed significant correlations between CBF and expression of multiple pro-inflammatory cytokines, including RANTES and IL-17. Finally, within the injured group, phosphorylation of specific signals in the MAPK and NF-κB intracellular signaling pathways (e.g., p38 MAPK and NF-κB) were significantly positively correlated with Iba1. In total, our data indicate that acute cerebral blood flow after rmTBI is a biomarker of underlying neuroinflammatory pathology.
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Affiliation(s)
- Sitara B Sankar
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, USA
| | - Alyssa F Pybus
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, USA
| | - Amanda Liew
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA
| | - Bharat Sanders
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA
| | - Kajol J Shah
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA
| | - Levi B Wood
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA; Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, USA; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, USA.
| | - Erin M Buckley
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, USA; Department of Pediatrics, School of Medicine, Emory University, USA.
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14
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Rosenthal S, Gray M, Fatima H, Sair HI, Whitlow CT. Functional MR Imaging: Blood Oxygen Level-Dependent and Resting State Techniques in Mild Traumatic Brain Injury. Neuroimaging Clin N Am 2018; 28:107-115. [PMID: 29157847 DOI: 10.1016/j.nic.2017.09.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
This article discusses mild traumatic brain injury (mTBI)-associated effects on brain functional connectivity assessed via resting-state functional MR (fMR) imaging. Several studies have reported acute post-injury default mode network hyperconnectivity, followed by a period of decreased connectivity before later connectivity normalization in some patients. Other studies have reported mTBI associated effects on connectivity that remain evident for up to 5-years or more. Discordance in the published literature regarding the direction of network connectivity changes (eg, increased versus decreased connectivity) may reflect differences in timing of data collection post-injury, as well as the need to standardize MR imaging acquisition protocols and processing methods.
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Affiliation(s)
- Scott Rosenthal
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Division of Neuroradiology, Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Matthew Gray
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Division of Neuroradiology, Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Hudaisa Fatima
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Division of Neuroradiology, Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA
| | - Haris I Sair
- Division of Neuroradiology, The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD 21205, USA
| | - Christopher T Whitlow
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Division of Neuroradiology, Department of Radiology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Department of Biomedical Engineering, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA; Clinical Translational Sciences Institute (CTSI), Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, USA.
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15
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van Niftrik CHB, Piccirelli M, Bozinov O, Maldaner N, Strittmatter C, Pangalu A, Valavanis A, Regli L, Fierstra J. Impact of baseline CO 2 on Blood-Oxygenation-Level-Dependent MRI measurements of cerebrovascular reactivity and task-evoked signal activation. Magn Reson Imaging 2018; 49:123-130. [DOI: 10.1016/j.mri.2018.02.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 01/30/2018] [Accepted: 02/12/2018] [Indexed: 12/25/2022]
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16
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Wright DK, O'Brien TJ, Mychasiuk R, Shultz SR. Telomere length and advanced diffusion MRI as biomarkers for repetitive mild traumatic brain injury in adolescent rats. Neuroimage Clin 2018; 18:315-324. [PMID: 29876252 PMCID: PMC5987845 DOI: 10.1016/j.nicl.2018.01.033] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 01/24/2018] [Accepted: 01/26/2018] [Indexed: 12/13/2022]
Abstract
Mild traumatic brain injuries (mTBI) are of worldwide concern in adolescents of both sexes, and repeated mTBI (RmTBI) may have serious long-term neurological consequences. As such, the study of RmTBI and discovery of objective biomarkers that can help guide medical decisions is an important undertaking. Diffusion-weighted MRI (DWI), which provides markers of axonal injury, and telomere length (TL) are two clinically relevant biomarkers that have been implicated in a number of neurological conditions, and may also be affected by RmTBI. Therefore, this study utilized the lateral impact injury model of RmTBI to investigate changes in diffusion MRI and TL, and how these changes relate to each other. Adolescent male and female rats received either three mTBIs or three sham injuries. The first injury was given on postnatal day 30 (P30), with the repeated injuries separated by four days each. Seven days after the final injury, a sample of ear tissue was collected for TL analysis. Rats were then euthanized and whole brains were collected and fixated for MRI analyses that included diffusion and high-resolution structural sequences. Compared to the sham-injured group, RmTBI rats had significantly shorter TL at seven days post-injury. Analysis of advanced DWI measures found that RmTBI rats had abnormalities in the corpus callosum and cortex at seven days post-injury. Notably, many of the DWI changes were correlated with TL. These findings demonstrate that TL and DWI measurements are changed by RmTBI and may represent clinically applicable biomarkers for this.
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Affiliation(s)
- David K Wright
- Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, VIC 3010, Australia; The Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052, Australia; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
| | - Terence J O'Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia; Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, VIC 3010, Australia
| | - Richelle Mychasiuk
- Alberta Children's Hospital Research Institute, University of Calgary, Department of Psychology, Calgary, AB, Canada
| | - Sandy R Shultz
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia; Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, VIC 3010, Australia.
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17
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Wing BH, Tucker BJ, Fong AK, Allen MD. Developing the Standard of Care for Post-Concussion Treatment: Neuroimaging-Guided Rehabilitation of Neurovascular Coupling. Open Neuroimag J 2017; 11:58-71. [PMID: 29299085 PMCID: PMC5725584 DOI: 10.2174/1874440001711010058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 08/02/2017] [Accepted: 09/04/2017] [Indexed: 12/20/2022] Open
Abstract
Background Emerging research proposes the imbalance between microvascular supply and metabolic demand as a contributing factor in the pathophysiology of mild traumatic brain injury. Prolonged effects on the dysregulation of neurovascular coupling may explain persistent symptomatic models such as Post-Concussion Syndrome. Objective Increased knowledge of what we refer to as neurovascular uncoupling provides a template for establishing a new concussion treatment standard in the assessment and therapeutic guidance of concussion. Methods The degree and localization of neurovascular uncoupling were statistically contextualized against a normative-based atlas in 270 concussed patients. Functional NeuroCognitive ImagingTM was used to establish pre-treatment benchmarks and guide neurotherapy. Conventional and functional neurocognitive imaging-directed measures were used to evaluate post-rehabilitative outcomes. Results Functional neurocognitive imaging was successful in identifying regions of Neurovascular uncoupling unique to each patient's brain and concussion profile. Longitudinal objective outcome measures demonstrated timely and lasting improvement of neurovascular coupling functioning in a significant majority of patients. Conclusion We present practice-based evidence supporting the clinical administration of functional neurocognitive imaging with particular efficacy in the neurorehabilitation of concussion. We advocate the reliability of functional neurocognitive imaging in assessing severity and localization of neurovascular uncoupling, and promote its use in the therapeutic guidance and neurorehabilitation of mild traumatic brain injury. We further support the continual exploration of other potential pathophysiological alterations resulting from concussion.
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Affiliation(s)
- Benjamin H Wing
- Cognitive FX, Provo, UT, USA.,American University of the Caribbean School of Medicine, Cupecoy, St. Maarten, USA
| | - Braden J Tucker
- Cognitive FX, Provo, UT, USA.,Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Alina K Fong
- Cognitive FX, Provo, UT, USA.,Utah Valley Regional Medical Center, Provo, UT, USA
| | - Mark D Allen
- Cognitive FX, Provo, UT, USA.,Notus Neuropsychological Imaging, Orem, UT, USA
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18
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Zeiler FA, Donnelly J, Calviello L, Menon DK, Smielewski P, Czosnyka M. Pressure Autoregulation Measurement Techniques in Adult Traumatic Brain Injury, Part I: A Scoping Review of Intermittent/Semi-Intermittent Methods. J Neurotrauma 2017. [PMID: 28648106 DOI: 10.1089/neu.2017.5085] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The purpose of this study was to perform a systematic, scoping review of commonly described intermittent/semi-intermittent autoregulation measurement techniques in adult traumatic brain injury (TBI). Nine separate systematic reviews were conducted for each intermittent technique: computed tomographic perfusion (CTP)/Xenon-CT (Xe-CT), positron emission tomography (PET), magnetic resonance imaging (MRI), arteriovenous difference in oxygen (AVDO2) technique, thigh cuff deflation technique (TCDT), transient hyperemic response test (THRT), orthostatic hypotension test (OHT), mean flow index (Mx), and transfer function autoregulation index (TF-ARI). MEDLINE®, BIOSIS, EMBASE, Global Health, Scopus, Cochrane Library (inception to December 2016), and reference lists of relevant articles were searched. A two tier filter of references was conducted. The total number of articles utilizing each of the nine searched techniques for intermittent/semi-intermittent autoregulation techniques in adult TBI were: CTP/Xe-CT (10), PET (6), MRI (0), AVDO2 (10), ARI-based TCDT (9), THRT (6), OHT (3), Mx (17), and TF-ARI (6). The premise behind all of the intermittent techniques is manipulation of systemic blood pressure/blood volume via either chemical (such as vasopressors) or mechanical (such as thigh cuffs or carotid compression) means. Exceptionally, Mx and TF-ARI are based on spontaneous fluctuations of cerebral perfusion pressure (CPP) or mean arterial pressure (MAP). The method for assessing the cerebral circulation during these manipulations varies, with both imaging-based techniques and TCD utilized. Despite the limited literature for intermittent/semi-intermittent techniques in adult TBI (minus Mx), it is important to acknowledge the availability of such tests. They have provided fundamental insight into human autoregulatory capacity, leading to the development of continuous and more commonly applied techniques in the intensive care unit (ICU). Numerous methods of intermittent/semi-intermittent pressure autoregulation assessment in adult TBI exist, including: CTP/Xe-CT, PET, AVDO2 technique, TCDT-based ARI, THRT, OHT, Mx, and TF-ARI. MRI-based techniques in adult TBI are yet to be described, with the main focus of MRI techniques on metabolic-based cerebrovascular reactivity (CVR) and not pressure-based autoregulation.
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Affiliation(s)
- Frederick A Zeiler
- 1 Division of Anaesthesia, University of Cambridge , Cambridge, United Kingdom .,2 Clinician Investigator Program, University of Manitoba , Winnipeg, Canada .,3 Section of Neurosurgery, Department of Surgery, University of Manitoba , Winnipeg, Canada
| | - Joseph Donnelly
- 4 Section of Brain Physics, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge , Cambridge, United Kingdom
| | - Leanne Calviello
- 4 Section of Brain Physics, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge , Cambridge, United Kingdom
| | - David K Menon
- 1 Division of Anaesthesia, University of Cambridge , Cambridge, United Kingdom
| | - Peter Smielewski
- 4 Section of Brain Physics, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge , Cambridge, United Kingdom
| | - Marek Czosnyka
- 4 Section of Brain Physics, Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge , Cambridge, United Kingdom
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19
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Kamins J, Bigler E, Covassin T, Henry L, Kemp S, Leddy JJ, Mayer A, McCrea M, Prins M, Schneider KJ, Valovich McLeod TC, Zemek R, Giza CC. What is the physiological time to recovery after concussion? A systematic review. Br J Sports Med 2017; 51:935-940. [DOI: 10.1136/bjsports-2016-097464] [Citation(s) in RCA: 222] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2017] [Indexed: 12/14/2022]
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20
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Hellstrøm T, Kaufmann T, Andelic N, Soberg HL, Sigurdardottir S, Helseth E, Andreassen OA, Westlye LT. Predicting Outcome 12 Months after Mild Traumatic Brain Injury in Patients Admitted to a Neurosurgery Service. Front Neurol 2017; 8:125. [PMID: 28443058 PMCID: PMC5385465 DOI: 10.3389/fneur.2017.00125] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/16/2017] [Indexed: 01/16/2023] Open
Abstract
Objective Accurate outcome prediction models for patients with mild traumatic brain injury (MTBI) are key for prognostic assessment and clinical decision-making. Using multivariate machine learning, we tested the unique and added predictive value of (1) magnetic resonance imaging (MRI)-based brain morphometric and volumetric characterization at 4-week postinjury and (2) demographic, preinjury, injury-related, and postinjury variables on 12-month outcomes, including global functioning level, postconcussion symptoms, and mental health in patients with MTBI. Methods A prospective, cohort study of patients (n = 147) aged 16–65 years with a 12-month follow-up. T1-weighted 3 T MRI data were processed in FreeSurfer, yielding accurate cortical reconstructions for surface-based analyses of cortical thickness, area, and volume, and brain segmentation for subcortical and global brain volumes. The 12-month outcome was defined as a composite score using a principal component analysis including the Glasgow Outcome Scale Extended, Rivermead Postconcussion Questionnaire, and Patient Health Questionnaire-9. Using leave-one-out cross-validation and permutation testing, we tested and compared three prediction models: (1) MRI model, (2) clinical model, and (3) MRI and clinical combined. Results We found a strong correlation between observed and predicted outcomes for the clinical model (r = 0.55, p < 0.001). The MRI model performed at the chance level (r = 0.03, p = 0.80) and the combined model (r = 0.45, p < 0.002) were slightly weaker than the clinical model. Univariate correlation analyses revealed the strongest association with outcome for postinjury factors of posttraumatic stress (Posttraumatic Symptom Scale-10, r = 0.61), psychological distress (Hospital Anxiety and Depression Scale, r = 0.52), and widespread pain (r = 0.43) assessed at 8 weeks. Conclusion We found no added predictive value of MRI-based measures of brain cortical morphometry and subcortical volumes over and above demographic and clinical features.
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Affiliation(s)
- Torgeir Hellstrøm
- Department of Physical Medicine and Rehabilitation, Oslo University Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tobias Kaufmann
- KG Jebsen Centre for Psychosis Research/Norwegian Centre for Mental Disorder Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Nada Andelic
- Department of Physical Medicine and Rehabilitation, Oslo University Hospital, Oslo, Norway.,Institute of Health and Society, CHARM Research Centre for Habilitation and Rehabilitation Models & Services, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Helene L Soberg
- Department of Physical Medicine and Rehabilitation, Oslo University Hospital, Oslo, Norway
| | | | - Eirik Helseth
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- KG Jebsen Centre for Psychosis Research/Norwegian Centre for Mental Disorder Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Lars T Westlye
- KG Jebsen Centre for Psychosis Research/Norwegian Centre for Mental Disorder Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
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21
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Abstract
Sports-related concussion also referred to in the literature as mild traumatic brain injury remains a popular area of study for physicians, neurologists, neuropsychologists, neuroimaging, athletic trainers, and researchers across the other areas of brain sciences. Treatment for concussion is an emerging area of focus with investigators seeking to improve outcomes and protect patients from the deleterious short-term and long-term consequences which have been extensively studied and identified. Broadly, current treatment strategies for athletes recovering from concussion have remained largely unchanged since early 2000s. Knowledge of the complex pathophysiology surrounding injury should improve or advance our ability to identify processes which may serve as targets for therapeutic intervention. Clinicians working with athletes recovering from sports-related concussion should have an advanced understanding of the injury cascade and also be aware of the current efforts within the research to treat concussion. In addition, how clinicians use the word "treatment" should be carefully defined and promoted so the patient is aware of the level of intervention and what stage of recovery or healing is being affected by a specific intervention. The purpose of this review is to bring together efforts across disciplines of brain science into 1 platform where clinicians can assimilate this information before making best practices decisions regarding the treatment of patients and athletes under their care.
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Mutch WAC, Ellis MJ, Ryner LN, Morissette MP, Pries PJ, Dufault B, Essig M, Mikulis DJ, Duffin J, Fisher JA. Longitudinal Brain Magnetic Resonance Imaging CO2 Stress Testing in Individual Adolescent Sports-Related Concussion Patients: A Pilot Study. Front Neurol 2016; 7:107. [PMID: 27458426 PMCID: PMC4937024 DOI: 10.3389/fneur.2016.00107] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 06/21/2016] [Indexed: 11/25/2022] Open
Abstract
Background Advanced neuroimaging studies in concussion have been limited to detecting group differences between concussion patients and healthy controls. In this small pilot study, we used brain magnetic resonance imaging (MRI) CO2 stress testing to longitudinally assess cerebrovascular responsiveness (CVR) in individual sports-related concussion (SRC) patients. Methods Six SRC patients (three males and three females; mean age = 15.7, range = 15–17 years) underwent longitudinal brain MRI CO2 stress testing using blood oxygen level-dependent (BOLD) MRI and model-based prospective end-tidal CO2 targeting under isoxic conditions. First-level and second-level comparisons were undertaken using statistical parametric mapping (SPM) to score the scans and compare them to an atlas of 24 healthy control subjects. Results All tests were well tolerated and without any serious adverse events. Anatomical MRI was normal in all study participants. The CO2 stimulus was consistent between the SRC patients and control subjects and within SRC patients across the longitudinal study. Individual SRC patients demonstrated both quantitative and qualitative patient-specific alterations in CVR (p < 0.005) that correlated strongly with clinical findings, and that persisted beyond clinical recovery. Conclusion Standardized brain MRI CO2 stress testing is capable of providing a longitudinal assessment of CVR in individual SRC patients. Consequently, larger prospective studies are needed to examine the utility of brain MRI CO2 stress testing as a clinical tool to help guide the evaluation, classification, and longitudinal management of SRC patients.
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Affiliation(s)
- W Alan C Mutch
- Department of Anesthesia and Perioperative Medicine, University of Manitoba, Winnipeg, MB, Canada; University of Manitoba, Winnipeg, MB, Canada; Health Sciences Centre, Winnipeg, MB, Canada; Canada North Concussion Network, Winnipeg, MB, Canada
| | - Michael J Ellis
- University of Manitoba, Winnipeg, MB, Canada; Canada North Concussion Network, Winnipeg, MB, Canada; Department of Surgery, University of Manitoba, Winnipeg, MB, Canada; Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB, Canada; Section of Neurosurgery, University of Manitoba, Winnipeg, MB, Canada; Pan Am Concussion Program, Winnipeg, MB, Canada; Children's Hospital Research Institute of Manitoba, University of Manitoba, Winnipeg, MB, Canada; Pan Am Clinic Foundation, Winnipeg, MB, Canada
| | - Lawrence N Ryner
- University of Manitoba, Winnipeg, MB, Canada; Health Sciences Centre, Winnipeg, MB, Canada; Canada North Concussion Network, Winnipeg, MB, Canada; Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
| | - Marc P Morissette
- Pan Am Concussion Program, Winnipeg, MB, Canada; Pan Am Clinic Foundation, Winnipeg, MB, Canada
| | - Philip J Pries
- University of Manitoba, Winnipeg, MB, Canada; College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Brenden Dufault
- University of Manitoba, Winnipeg, MB, Canada; Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Marco Essig
- University of Manitoba, Winnipeg, MB, Canada; Health Sciences Centre, Winnipeg, MB, Canada; Canada North Concussion Network, Winnipeg, MB, Canada; Pan Am Concussion Program, Winnipeg, MB, Canada; Department of Radiology, University of Manitoba, Winnipeg, MB, Canada
| | - David J Mikulis
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada; University Health Network Cerebrovascular Reactivity Research Group, Toronto, ON, Canada
| | - James Duffin
- University Health Network Cerebrovascular Reactivity Research Group, Toronto, ON, Canada; Department of Physiology, University of Toronto, Toronto, ON, Canada; University of Toronto, Toronto, ON, Canada
| | - Joseph A Fisher
- University Health Network Cerebrovascular Reactivity Research Group, Toronto, ON, Canada; Department of Physiology, University of Toronto, Toronto, ON, Canada; University of Toronto, Toronto, ON, Canada; Department of Anesthesia, University of Toronto, Toronto, ON, Canada
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