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Ciris PA. Editorial for "Assessment of Cerebrovascular Reactivity Using CO 2-BOLD MRI: A 15-Year, Single Center Experience". J Magn Reson Imaging 2024; 60:962-963. [PMID: 38213089 DOI: 10.1002/jmri.29239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 01/02/2024] [Indexed: 01/13/2024] Open
Affiliation(s)
- Pelin A Ciris
- Department of Computing and Software Engineering, Florida Gulf Coast University, Fort Myers, Florida, USA
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Rather MA, Khan A, Jahan S, Siddiqui AJ, Wang L. Influence of Tau on Neurotoxicity and Cerebral Vasculature Impairment Associated with Alzheimer's Disease. Neuroscience 2024; 552:1-13. [PMID: 38871021 DOI: 10.1016/j.neuroscience.2024.05.042] [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: 12/10/2023] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024]
Abstract
Alzheimer's disease is a fatal chronic neurodegenerative condition marked by a gradual decline in cognitive abilities and impaired vascular function within the central nervous system. This affliction initiates its insidious progression with the accumulation of two aberrant protein entities including Aβ plaques and neurofibrillary tangles. These chronic elements target distinct brain regions, steadily erasing the functionality of the hippocampus and triggering the erosion of memory and neuronal integrity. Several assumptions are anticipated for AD as genetic alterations, the occurrence of Aβ plaques, altered processing of amyloid precursor protein, mitochondrial damage, and discrepancy of neurotropic factors. In addition to Aβ oligomers, the deposition of tau hyper-phosphorylates also plays an indispensable part in AD etiology. The brain comprises a complex network of capillaries that is crucial for maintaining proper function. Tau is expressed in cerebral blood vessels, where it helps to regulate blood flow and sustain the blood-brain barrier's integrity. In AD, tau pathology can disrupt cerebral blood supply and deteriorate the BBB, leading to neuronal neurodegeneration. Neuroinflammation, deficits in the microvasculature and endothelial functions, and Aβ deposition are characteristically detected in the initial phases of AD. These variations trigger neuronal malfunction and cognitive impairment. Intracellular tau accumulation in microglia and astrocytes triggers deleterious effects on the integrity of endothelium and cerebral blood supply resulting in further advancement of the ailment and cerebral instability. In this review, we will discuss the impact of tau on neurovascular impairment, mitochondrial dysfunction, oxidative stress, and the role of hyperphosphorylated tau in neuron excitotoxicity and inflammation.
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Affiliation(s)
- Mashoque Ahmad Rather
- Department of Molecular Pharmacology and Physiology, University of South Florida, Tampa, United States.
| | - Andleeb Khan
- Department of Biosciences, Faculty of Science, Integral University, Lucknow, 226026, India
| | - Sadaf Jahan
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Al-Majmaah, Saudi Arabia
| | - Arif Jamal Siddiqui
- Department of Biology, College of Science, University of Hail, Hail City, Saudi Arabia
| | - Lianchun Wang
- Department of Molecular Pharmacology and Physiology, University of South Florida, Tampa, United States
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3
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Van Den Brink H, Pham S, Siero JC, Arts T, Onkenhout L, Kuijf H, Hendrikse J, Wardlaw JM, Dichgans M, Zwanenburg JJ, Biessels GJ. Assessment of Small Vessel Function Using 7T MRI in Patients With Sporadic Cerebral Small Vessel Disease: The ZOOM@SVDs Study. Neurology 2024; 102:e209136. [PMID: 38497722 PMCID: PMC11067699 DOI: 10.1212/wnl.0000000000209136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 12/07/2023] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cerebral small vessel disease (cSVD) is a major cause of stroke and dementia, but little is known about disease mechanisms at the level of the small vessels. 7T-MRI allows assessing small vessel function in vivo in different vessel populations. We hypothesized that multiple aspects of small vessel function are altered in patients with cSVD and that these abnormalities relate to disease burden. METHODS Patients and controls participated in a prospective observational cohort study, the ZOOM@SVDs study. Small vessel function measures on 7T-MRI included perforating artery blood flow velocity and pulsatility index in the basal ganglia and centrum semiovale, vascular reactivity to visual stimulation in the occipital cortex, and reactivity to hypercapnia in the gray and white matter. Lesion load on 3T-MRI and cognitive function were used to assess disease burden. RESULTS Forty-six patients with sporadic cSVD (mean age ± SD 65 ± 9 years) and 22 matched controls (64 ± 7 years) participated in the ZOOM@SVDs study. Compared with controls, patients had increased pulsatility index (mean difference 0.09, p = 0.01) but similar blood flow velocity in basal ganglia perforating arteries and similar flow velocity and pulsatility index in centrum semiovale perforating arteries. The duration of the vascular response to brief visual stimulation in the occipital cortex was shorter in patients than in controls (mean difference -0.63 seconds, p = 0.02), whereas reactivity to hypercapnia was not significantly affected in the gray and total white matter. Among patients, reactivity to hypercapnia was lower in white matter hyperintensities compared with normal-appearing white matter (blood-oxygen-level dependent mean difference 0.35%, p = 0.001). Blood flow velocity and pulsatility index in basal ganglia perforating arteries and reactivity to brief visual stimulation correlated with disease burden. DISCUSSION We observed abnormalities in several aspects of small vessel function in patients with cSVD indicative of regionally increased arteriolar stiffness and decreased reactivity. Worse small vessel function also correlated with increased disease burden. These functional measures provide new mechanistic markers of sporadic cSVD.
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Affiliation(s)
- Hilde Van Den Brink
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Stanley Pham
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Jeroen C Siero
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Tine Arts
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Laurien Onkenhout
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Hugo Kuijf
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Jeroen Hendrikse
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Joanna M Wardlaw
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Martin Dichgans
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Jaco J Zwanenburg
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
| | - Geert Jan Biessels
- From the Department of Neurology and Neurosurgery (H.V.D.B., L.O., G.J.B.), UMC Utrecht Brain Center; Department of Radiology (S.P., J.C.S., T.A., J.H., J.J.Z.), Center for Image Sciences, University Medical Center Utrecht; Spinoza Centre for Neuroimaging Amsterdam (J.C.S.); Image Sciences Institute (H.K.), University Medical Center Utrecht, the Netherlands; Brain Research Imaging Centre (J.M.W.), Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre at the University of Edinburgh, United Kingdom; Institute for Stroke and Dementia Research (M.D.), University Hospital, LMU Munich; Munich Cluster for Systems Neurology (SyNergy) (M.D.); and German Center for Neurodegenerative Disease (DZNE) (M.D.), Germany
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Smith EE. Advances in Cerebral Small Vessel Disease: Sandra E. Black Lecture to the Canadian Neurological Sciences Federation. Can J Neurol Sci 2024:1-8. [PMID: 38410042 DOI: 10.1017/cjn.2024.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Cerebral small vessel diseases (CSVDs) are among the most common age-related pathologies of the brain. Arteriolosclerosis and cerebral amyloid angiopathy (CAA) are the most common CSVDs. In addition to causing stroke and dementia, CSVDs can have diverse covert radiological manifestations on computed tomography and magnetic resonance imaging including lacunes, T2-weighted white matter hyperintensities, increased density of visible perivascular spaces, microbleeds and cortical superficial siderosis. Because they cannot be visualized directly, research on the pathophysiology of CSVD has been difficult. However, advances in quantitative imaging methods, including physiological imaging such as measurement of cerebrovascular reactivity and increased vascular permeability, are beginning to allow investigation of the early effects of CSVD in living people. Furthermore, genomics, metabolomics and proteomics have the potential to illuminate previously unrecognized pathways to CSVD that could be important targets for new clinical trials.
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Affiliation(s)
- Eric E Smith
- Department of Clinical Neurosciences, Radiology and Community Health Sciences, University of Calgary, Calgary, AB, Canada
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Ishikawa H, Shindo A, Mizutani A, Tomimoto H, Lo EH, Arai K. A brief overview of a mouse model of cerebral hypoperfusion by bilateral carotid artery stenosis. J Cereb Blood Flow Metab 2023; 43:18-36. [PMID: 36883344 PMCID: PMC10638994 DOI: 10.1177/0271678x231154597] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 12/23/2022] [Accepted: 01/04/2023] [Indexed: 03/09/2023]
Abstract
Vascular cognitive impairment (VCI) refers to all forms of cognitive disorder related to cerebrovascular diseases, including vascular mild cognitive impairment, post-stroke dementia, multi-infarct dementia, subcortical ischemic vascular dementia (SIVD), and mixed dementia. Among the causes of VCI, more attention has been paid to SIVD because the causative cerebral small vessel pathologies are frequently observed in elderly people and because the gradual progression of cognitive decline often mimics Alzheimer's disease. In most cases, small vessel diseases are accompanied by cerebral hypoperfusion. In mice, prolonged cerebral hypoperfusion is induced by bilateral carotid artery stenosis (BCAS) with surgically implanted metal micro-coils. This cerebral hypoperfusion BCAS model was proposed as a SIVD mouse model in 2004, and the spreading use of this mouse SIVD model has provided novel data regarding cognitive dysfunction and histological/genetic changes by cerebral hypoperfusion. Oxidative stress, microvascular injury, excitotoxicity, blood-brain barrier dysfunction, and secondary inflammation may be the main mechanisms of brain damage due to prolonged cerebral hypoperfusion, and some potential therapeutic targets for SIVD have been proposed by using transgenic mice or clinically used drugs in BCAS studies. This review article overviews findings from the studies that used this hypoperfused-SIVD mouse model, which were published between 2004 and 2021.
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Affiliation(s)
- Hidehiro Ishikawa
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Akane Mizutani
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Eng H Lo
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Ken Arai
- Neuroprotection Research Laboratory, Departments of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
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Hannawi Y. Cerebral Small Vessel Disease: a Review of the Pathophysiological Mechanisms. Transl Stroke Res 2023:10.1007/s12975-023-01195-9. [PMID: 37864643 DOI: 10.1007/s12975-023-01195-9] [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: 06/02/2023] [Revised: 06/02/2023] [Accepted: 09/18/2023] [Indexed: 10/23/2023]
Abstract
Cerebral small vessel disease (cSVD) refers to the age-dependent pathological processes involving the brain small vessels and leading to vascular cognitive impairment, intracerebral hemorrhage, and acute lacunar ischemic stroke. Despite the significant public health burden of cSVD, disease-specific therapeutics remain unavailable due to the incomplete understanding of the underlying pathophysiological mechanisms. Recent advances in neuroimaging acquisition and processing capabilities as well as findings from cSVD animal models have revealed critical roles of several age-dependent processes in cSVD pathogenesis including arterial stiffness, vascular oxidative stress, low-grade systemic inflammation, gut dysbiosis, and increased salt intake. These factors interact to cause a state of endothelial cell dysfunction impairing cerebral blood flow regulation and breaking the blood brain barrier. Neuroinflammation follows resulting in neuronal injury and cSVD clinical manifestations. Impairment of the cerebral waste clearance through the glymphatic system is another potential process that has been recently highlighted contributing to the cognitive decline. This review details these mechanisms and attempts to explain their complex interactions. In addition, the relevant knowledge gaps in cSVD mechanistic understanding are identified and a systematic approach to future translational and early phase clinical research is proposed in order to reveal new cSVD mechanisms and develop disease-specific therapeutics.
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Affiliation(s)
- Yousef Hannawi
- Division of Cerebrovascular Diseases and Neurocritical Care, Department of Neurology, The Ohio State University, 333 West 10th Ave, Graves Hall 3172C, Columbus, OH, 43210, USA.
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Zvolanek KM, Moia S, Dean JN, Stickland RC, Caballero-Gaudes C, Bright MG. Comparing end-tidal CO 2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI. Neuroimage 2023; 272:120038. [PMID: 36958618 DOI: 10.1016/j.neuroimage.2023.120038] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/27/2023] [Accepted: 03/14/2023] [Indexed: 03/25/2023] Open
Abstract
Cerebrovascular reactivity (CVR), defined as the cerebral blood flow response to a vasoactive stimulus, is an imaging biomarker with demonstrated utility in a range of diseases and in typical development and aging processes. A robust and widely implemented method to map CVR involves using a breath-hold task during a BOLD fMRI scan. Recording end-tidal CO2 (PETCO2) changes during the breath-hold task is recommended to be used as a reference signal for modeling CVR amplitude in standard units (%BOLD/mmHg) and CVR delay in seconds. However, obtaining reliable PETCO2 recordings requires equipment and task compliance that may not be achievable in all settings. To address this challenge, we investigated two alternative reference signals to map CVR amplitude and delay in a lagged general linear model (lagged-GLM) framework: respiration volume per time (RVT) and average gray matter BOLD response (GM-BOLD). In 8 healthy adults with multiple scan sessions, we compare spatial agreement of CVR maps from RVT and GM-BOLD to those generated with PETCO2. We define a threshold to determine whether a PETCO2 recording has "sufficient" quality for CVR mapping and perform these comparisons in 16 datasets with sufficient PETCO2 and 6 datasets with insufficient PETCO2. When PETCO2 quality is sufficient, both RVT and GM-BOLD produce CVR amplitude maps that are nearly identical to those from PETCO2 (after accounting for differences in scale), with the caveat they are not in standard units to facilitate between-group comparisons. CVR delays are comparable to PETCO2 with an RVT regressor but may be underestimated with the average GM-BOLD regressor. Importantly, when PETCO2 quality is insufficient, RVT and GM-BOLD CVR recover reasonable CVR amplitude and delay maps, provided the participant attempted the breath-hold task. Therefore, our framework offers a solution for achieving high quality CVR maps in both retrospective and prospective studies where sufficient PETCO2 recordings are not available and especially in populations where obtaining reliable measurements is a known challenge (e.g., children). Our results have the potential to improve the accessibility of CVR mapping and to increase the prevalence of this promising metric of vascular health.
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Affiliation(s)
- Kristina M Zvolanek
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Biomedical Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, USA.
| | - Stefano Moia
- Basque Center on Cognition, Brain and Language, Donostia, Gipuzkoa, Spain; Medical Imaging Processing Lab (MIP:Lab), Neuro-X institute, EPFL, Geneva, Switzerland
| | - Joshua N Dean
- Department of Biomedical Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, USA
| | - Rachael C Stickland
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Molly G Bright
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Biomedical Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, IL, USA
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8
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Kopczak A, Stringer MS, van den Brink H, Kerkhofs D, Blair GW, van Dinther M, Onkenhout L, Wartolowska KA, Thrippleton MJ, Duering M, Staals J, Middeke M, André E, Norrving B, Bousser MG, Mansmann U, Rothwell PM, Doubal FN, van Oostenbrugge R, Biessels GJ, Webb AJS, Wardlaw JM, Dichgans M. The EffecTs of Amlodipine and other Blood PREssure Lowering Agents on Microvascular FuncTion in Small Vessel Diseases (TREAT-SVDs) trial: Study protocol for a randomised crossover trial. Eur Stroke J 2023; 8:387-397. [PMID: 37021189 PMCID: PMC10069218 DOI: 10.1177/23969873221143570] [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: 10/20/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Background Hypertension is the leading modifiable risk factor for cerebral small vessel diseases (SVDs). Yet, it is unknown whether antihypertensive drug classes differentially affect microvascular function in SVDs. Aims To test whether amlodipine has a beneficial effect on microvascular function when compared to either losartan or atenolol, and whether losartan has a beneficial effect when compared to atenolol in patients with symptomatic SVDs. Design TREAT-SVDs is an investigator-led, prospective, open-label, randomised crossover trial with blinded endpoint assessment (PROBE design) conducted at five study sites across Europe. Patients aged 18 years or older with symptomatic SVD who have an indication for antihypertensive treatment and are suffering from either sporadic SVD and a history of lacunar stroke or vascular cognitive impairment (group A) or CADASIL (group B) are randomly allocated 1:1:1 to one of three sequences of antihypertensive treatment. Patients stop their regular antihypertensive medication for a 2-week run-in period followed by 4-week periods of monotherapy with amlodipine, losartan and atenolol in random order as open-label medication in standard dose. Outcomes The primary outcome measure is cerebrovascular reactivity (CVR) as determined by blood oxygen level dependent brain MRI signal response to hypercapnic challenge with change in CVR in normal appearing white matter as primary endpoint. Secondary outcome measures are mean systolic blood pressure (BP) and BP variability (BPv). Discussion TREAT-SVDs will provide insights into the effects of different antihypertensive drugs on CVR, BP, and BPv in patients with symptomatic sporadic and hereditary SVDs. Funding European Union's Horizon 2020 programme. Trial registration NCT03082014.
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Affiliation(s)
- Anna Kopczak
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
| | - Michael S Stringer
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Hilde van den Brink
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Danielle Kerkhofs
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Gordon W Blair
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Maud van Dinther
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Laurien Onkenhout
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Karolina A Wartolowska
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | | | - Marco Duering
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
- Medical Image Analysis Center (MIAC AG)
and Department of Biomedical Engineering, University of Basel, Basel,
Switzerland
| | - Julie Staals
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Martin Middeke
- Hypertoniezentrum München, Excellence
Centre of the European Society of Hypertension (ESH), Munich, Germany
| | - Elisabeth André
- Münchner Studienzentrum, Faculty of
Medicine, Technical University Munich (TUM), Munich, Germany
| | - Bo Norrving
- Neurology, Department of Clinical
Sciences Lund, Lund University, and Neurology, Skåne University Hospital Lund/Malmö,
Sweden
| | | | - Ulrich Mansmann
- Institute for Medical Information
Processing, Biometry, and Epidemiology, LMU Munich, Munich, Germany
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
| | - Robert van Oostenbrugge
- Department of Neurology and School for
cardiovascular diseases (CARIM), Maastricht University Medical Center+, Maastricht,
The Netherlands
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht
Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Alastair JS Webb
- Wolfson Centre for Prevention of Stroke
and Dementia, Nuffield Department of Clinical Neurosciences, University of Oxford,
Oxford, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences,
University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute,
University of Edinburgh, Edinburgh, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia
Research, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology
(SyNergy), Munich, Germany
- German Center for Neurodegenerative
Diseases (DZNE), Munich, Germany
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9
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Reiländer A, Pilatus U, Schüre JR, Shrestha M, Deichmann R, Nöth U, Hattingen E, Gracien RM, Wagner M, Seiler A. Impaired oxygen extraction and adaptation of intracellular energy metabolism in cerebral small vessel disease. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 4:100162. [PMID: 36851996 PMCID: PMC9957754 DOI: 10.1016/j.cccb.2023.100162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/25/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND We aimed to investigate whether combined phosphorous (31P) magnetic resonance spectroscopic imaging (MRSI) and quantitative T 2 ' mapping are able to detect alterations of the cerebral oxygen extraction fraction (OEF) and intracellular pH (pHi) as markers the of cellular energy metabolism in cerebral small vessel disease (SVD). MATERIALS AND METHODS 32 patients with SVD and 17 age-matched healthy control subjects were examined with 3-dimensional 31P MRSI and oxygenation-sensitive quantitative T 2 ' mapping (1/ T 2 ' = 1/T2* - 1/T2) at 3 Tesla (T). PHi was measured within the white matter hyperintensities (WMH) in SVD patients. Quantitative T 2 ' values were averaged across the entire white matter (WM). Furthermore, T 2 ' values were extracted from normal-appearing WM (NAWM) and the WMH and compared between patients and controls. RESULTS Quantitative T 2 ' values were significantly increased across the entire WM and in the NAWM in patients compared to control subjects (149.51 ± 16.94 vs. 138.19 ± 12.66 ms and 147.45 ± 18.14 vs. 137.99 ± 12.19 ms, p < 0.05). WM T 2 ' values correlated significantly with the WMH load (ρ=0.441, p = 0.006). Increased T 2 ' was significantly associated with more alkaline pHi (ρ=0.299, p < 0.05). Both T 2 ' and pHi were significantly positively correlated with vascular pulsatility in the distal carotid arteries (ρ=0.596, p = 0.001 and ρ=0.452, p = 0.016). CONCLUSIONS This exploratory study found evidence of impaired cerebral OEF in SVD, which is associated with intracellular alkalosis as an adaptive mechanism. The employed techniques provide new insights into the pathophysiology of SVD with regard to disease-related consequences on the cellular metabolic state.
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Key Words
- BBB, blood-brain barrier
- CBF, cerebral blood flow
- CBV, cerebral blood volume
- CMRO2, Cerebral metabolic rate of oxygen
- Cellular energy metabolism
- DTI, diffusion tensor imaging
- GE, gradient echo
- Hb, hemoglobin
- ICA, internal carotid artery
- MR spectroscopy
- MRI, magnetic resonance imaging
- MRS, magnetic resonance spectroscopy
- MRSI, magnetic resonance spectroscopic imaging
- Microstructural impairment
- NAWM, normal-appearing white matter
- OEF, oxygen extraction fraction
- Oxygen extraction fraction
- PI, Pulsatility index
- RF, radio frequency
- SVD, cerebral small vessel disease
- Small vessel disease
- TR, repetition time
- WM, white matter
- WMH, white matter hyperintensities
- pHi, intracellular pH
- quantitative MRI
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Affiliation(s)
- Annemarie Reiländer
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ulrich Pilatus
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Jan-Rüdiger Schüre
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Manoj Shrestha
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ralf Deichmann
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Ulrike Nöth
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Elke Hattingen
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - René-Maxime Gracien
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Marlies Wagner
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
- Institute of Neuroradiology, Goethe University Hospital Frankfurt, Frankfurt Germany
| | - Alexander Seiler
- Department of Neurology, Goethe University Hospital Frankfurt, Schleusenweg 2-16, Frankfurt 60528, Germany
- Brain Imaging Center, Goethe University Hospital Frankfurt, Frankfurt Germany
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10
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Wiseman SJ, Zhang JF, Gray C, Hamid C, Valdés Hernández MDC, Ballerini L, Thrippleton MJ, Manning C, Stringer M, Sleight E, Muñoz Maniega S, Morgan A, Cheng Y, Arteaga C, Jaime Garcia D, Clancy U, Doubal FN, Dhillon B, MacGillivray T, Wu YC, Wardlaw JM. Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease. J Cereb Blood Flow Metab 2023; 43:231-240. [PMID: 36300327 PMCID: PMC9903216 DOI: 10.1177/0271678x221135658] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 01/24/2023]
Abstract
Cerebral small vessel disease (SVD) is a cause of stroke and dementia. Retinal capillary microvessels revealed by optical coherence tomography angiography (OCTA) are developmentally related to brain microvessels. We quantified retinal vessel density (VD) and branching complexity, investigating relationships with SVD lesions, white matter integrity on diffusion tensor imaging (DTI) and cerebrovascular reactivity (CVR) to CO2 in patients with minor stroke. We enrolled 123 patients (mean age 68.1 ± SD 9.9 years), 115 contributed retinal data. Right (R) and left (L) eyes are reported. After adjusting for age, eye disease, diabetes, blood pressure and image quality, lower VD remained associated with higher mean diffusivity (MD) (standardized β; R -0.16 [95%CI -0.32 to -0.01]) and lower CVR (L 0.17 [0.03 to 0.31] and R 0.19 [0.02 to 0.36]) in normal appearing white matter (NAWM). Sparser branching remained associated with sub-visible white matter damage shown by higher MD (R -0.24 [-0.08 to -0.40]), lower fractional anisotropy (FA) (L 0.17 [0.01 to 0.33]), and lower CVR (R 0.20 [0.02 to 0.38]) in NAWM. OCTA-derived metrics provide evidence of microvessel abnormalities that may underpin SVD lesions in the brain.
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Affiliation(s)
- Stewart J Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Jun-Fang Zhang
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Calum Gray
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Charlene Hamid
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Maria del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Cameron Manning
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Michael Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Emilie Sleight
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
| | | | - Alasdair Morgan
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Yajun Cheng
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Department of Neurology, West China Hospital, Sichuan
University, Chengdu, China
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Dany Jaime Garcia
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
| | - Baljean Dhillon
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- NHS Lothian Princess Alexandra Eye Pavilion, UK
| | - Tom MacGillivray
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
| | - Yun-Cheng Wu
- Department of Neurology, Shanghai General Hospital, Shanghai
Jiao Tong University School of Medicine, Shanghai, China
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh,
Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh,
Edinburgh, UK
- Edinburgh Imaging Facilities, Edinburgh Imaging, University of
Edinburgh, UK
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11
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Kapoor A, Yew B, Jang JY, Dutt S, Li Y, Alitin JPM, Gaubert A, Ho JK, Blanken AE, Sible IJ, Marshall A, Shao X, Mather M, Wang DJJ, Nation DA. Older adults with perivascular spaces exhibit cerebrovascular reactivity deficits. Neuroimage 2022; 264:119746. [PMID: 36370956 PMCID: PMC10033456 DOI: 10.1016/j.neuroimage.2022.119746] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/12/2022] [Accepted: 11/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Perivascular spaces on brain magnetic resonance imaging (MRI) may indicate poor fluid drainage in the brain and have been associated with numerous neurological conditions. Cerebrovascular reactivity (CVR) is a marker of cerebrovascular function and represents the ability of cerebral blood vessels to regulate cerebral blood flow in response to vasodilatory or vasoconstrictive stimuli. We aimed to examine whether pathological widening of the perivascular space in older adults may be associated with deficits in CVR. METHODS Independently living older adults free of dementia or clinical stroke were recruited from the community and underwent brain MRI. Pseudo-continuous arterial spin labeling MRI quantified whole brain cerebral perfusion at rest and during CVR to hypercapnia and hypocapnia induced by visually guided breathing exercises. Perivascular spaces were visually scored using existing scales. RESULTS Thirty-seven independently living older adults (mean age = 66.3 years; SD = 6.8; age range 55-84 years; 29.7% male) were included in the current analysis. Multiple linear regression analysis revealed a significant negative association between burden of perivascular spaces and global CVR to hypercapnia (B = -2.0, 95% CI (-3.6, -0.4), p = .015), adjusting for age and sex. Perivascular spaces were not related to CVR to hypocapnia. DISCUSSION Perivascular spaces are associated with deficits in cerebrovascular vasodilatory response, but not vasoconstrictive response. Enlargement of perivascular spaces could contribute to, or be influenced by, deficits in CVR. Additional longitudinal studies are warranted to improve our understanding of the relationship between cerebrovascular function and perivascular space enlargement.
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Affiliation(s)
- Arunima Kapoor
- Department of Psychological Science, University of California, Irvine, CA, USA
| | - Belinda Yew
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Jung Yun Jang
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Shubir Dutt
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Yanrong Li
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - John Paul M Alitin
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Aimee Gaubert
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Jean K Ho
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Anna E Blanken
- San Francisco Veterans Affairs Health Care System & Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Isabel J Sible
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Anisa Marshall
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Xingfeng Shao
- Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Mara Mather
- Davis School of Gerontology and Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Danny J J Wang
- Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Daniel A Nation
- Department of Psychological Science, University of California, Irvine, CA, USA; Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.
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12
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Seong M, Oh Y, Park HJ, Choi WS, Kim JG. Use of Hypoxic Respiratory Challenge for Differentiating Alzheimer's Disease and Wild-Type Mice Non-Invasively: A Diffuse Optical Spectroscopy Study. BIOSENSORS 2022; 12:1019. [PMID: 36421136 PMCID: PMC9688818 DOI: 10.3390/bios12111019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/12/2022] [Accepted: 11/13/2022] [Indexed: 06/16/2023]
Abstract
Alzheimer's disease is one of the most critical brain diseases. The prevalence of the disease keeps rising due to increasing life spans. This study aims to examine the use of hemodynamic signals during hypoxic respiratory challenge for the differentiation of Alzheimer's disease (AD) and wild-type (WT) mice. Diffuse optical spectroscopy, an optical system that can non-invasively monitor transient changes in deoxygenated (ΔRHb) and oxygenated (ΔOHb) hemoglobin concentrations, was used to monitor hemodynamic reactivity during hypoxic respiratory challenges in an animal model. From the acquired signals, 13 hemodynamic features were extracted from each of ΔRHb and -ΔOHb (26 features total) for more in-depth analyses of the differences between AD and WT. The hemodynamic features were statistically analyzed and tested to explore the possibility of using machine learning (ML) to differentiate AD and WT. Among the twenty-six features, two features of ΔRHb and one feature of -ΔOHb showed statistically significant differences between AD and WT. Among ML techniques, a naive Bayes algorithm achieved the best accuracy of 84.3% when whole hemodynamic features were used for differentiation. While further works are required to improve the approach, the suggested approach has the potential to be an alternative method for the differentiation of AD and WT.
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Affiliation(s)
- Myeongsu Seong
- School of Information Science and Technology, Nantong University, Nantong 226019, China
- Research Center for Intelligent Information Technology, Nantong University, Nantong 226019, China
| | - Yoonho Oh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Hyung Joon Park
- School of Biological Sciences and Technology, College of Natural Sciences, College of Medicine, Chonnam National University, Gwangju 61186, Republic of Korea
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Won-Seok Choi
- School of Biological Sciences and Technology, College of Natural Sciences, College of Medicine, Chonnam National University, Gwangju 61186, Republic of Korea
| | - Jae Gwan Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
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13
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Fisher RA, Miners JS, Love S. Pathological changes within the cerebral vasculature in Alzheimer's disease: New perspectives. Brain Pathol 2022; 32:e13061. [PMID: 35289012 PMCID: PMC9616094 DOI: 10.1111/bpa.13061] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/11/2022] [Accepted: 02/21/2022] [Indexed: 12/14/2022] Open
Abstract
Cerebrovascular disease underpins vascular dementia (VaD), but structural and functional changes to the cerebral vasculature contribute to disease pathology and cognitive decline in Alzheimer's disease (AD). In this review, we discuss the contribution of cerebral amyloid angiopathy and non‐amyloid small vessel disease in AD, and the accompanying changes to the density, maintenance and remodelling of vessels (including alterations to the composition and function of the cerebrovascular basement membrane). We consider how abnormalities of the constituent cells of the neurovascular unit – particularly of endothelial cells and pericytes – and impairment of the blood‐brain barrier (BBB) impact on the pathogenesis of AD. We also discuss how changes to the cerebral vasculature are likely to impair Aβ clearance – both intra‐periarteriolar drainage (IPAD) and transport of Aβ peptides across the BBB, and how impaired neurovascular coupling and reduced blood flow in relation to metabolic demand increase amyloidogenic processing of APP and the production of Aβ. We review the vasoactive properties of Aβ peptides themselves, and the probable bi‐directional relationship between vascular dysfunction and Aβ accumulation in AD. Lastly, we discuss recent methodological advances in transcriptomics and imaging that have provided novel insights into vascular changes in AD, and recent advances in assessment of the retina that allow in vivo detection of vascular changes in the early stages of AD.
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Affiliation(s)
- Robert A Fisher
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
| | - J Scott Miners
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
| | - Seth Love
- Dementia Research Group, University of Bristol Medical School, Bristol, UK
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14
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Chen Y, Lin Y, Bian Y. Cognitive Functional Impairment and Hemodynamic Changes in Patients with Symptomatic Leukoaraiosis. JOURNAL OF BEHAVIORAL AND BRAIN SCIENCE 2022; 12:271-286. [DOI: 10.4236/jbbs.2022.126015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
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15
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Powers W, An H, Oakes J, Eron J, Robertson K, Sen S. Autoregulation of White Matter Cerebral Blood Flow to Arterial Pressure Changes in Normal Subjects. JOURNAL OF NEUROLOGICAL DISORDERS & STROKE 2021; 8:1187. [PMID: 36108300 PMCID: PMC9447844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Endothelial dysfunction causing impaired cerebrovascular vasodilatory capacity in response to reduced blood pressure has been proposed as a mechanism of white matter (WM) disease development. This study investigated autoregulation of CBF to blood pressure reduction in WM and gray matter (GM) in normal subjects recruited as controls for a study of cerebrovascular function in human immunodeficiency virus positive subjects. They underwent baseline CBF and oxygen extraction fraction measurement by MRI before and after mean arterial pressure (MAP) reduction. Autoregulatory Index (AI) was computed as CBF AI = -%CBF change/% MAP change. Thirty of 44 subjects achieved target MAP reduction. MAP was reduced -13.65 ± 2.35 (range 10 to 20) %. WM AI of -0.61 ± 1.23 was significantly more negative than GM AI of 0.02 ± 0.44 (paired t test, p= 0.016). WM CBF fell (paired Wilcoxon, p= 0.03) whereas GM CBF did not change (paired Wilcoxon, p=0.92). WM AI was different from 0 (p=0.011, one-sample t-test vs 0), whereas GM AI was not (p=0.913, one-sample t-test vs 0). These data demonstrate that maintenance of CBF to 10-20% reductions in MAP is less effective in WM than in GM. This may put WM at higher risk for ischemic damage.
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Affiliation(s)
- William Powers
- Department of Neurology, University of North Carolina, USA
| | - Hongyu An
- Department of Radiology, Washington University, USA
| | - Jonathan Oakes
- Department of Medicine, University of North Carolina, USA
| | - Joseph Eron
- Department of Medicine, University of North Carolina, USA
| | | | - Souvik Sen
- Department of Neurology, University of South Carolina, USA
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16
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Wu X, Ya J, Zhou D, Ding Y, Ji X, Meng R. Pathogeneses and Imaging Features of Cerebral White Matter Lesions of Vascular Origins. Aging Dis 2021; 12:2031-2051. [PMID: 34881084 PMCID: PMC8612616 DOI: 10.14336/ad.2021.0414] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/14/2021] [Indexed: 01/10/2023] Open
Abstract
White matter lesion (WML), also known as white matter hyperintensities or leukoaraiosis, was first termed in 1986 to describe the hyperintense signals on T2-weighted imaging (T2WI) and fluid-attenuated inversion recovery (FLAIR) maps. Over the past decades, a growing body of pathophysiological findings regarding WMLs have been discovered and discussed. Currently, the generally accepted WML pathogeneses mainly include hypoxia-ischemia, endothelial dysfunction, blood-brain barrier disruption, and infiltration of inflammatory mediators or cytokines. However, none of them can explain the whole dynamics of WML formation. Herein, we primarily focus on the pathogeneses and neuroimaging features of vascular WMLs. To achieve this goal, we searched papers with any type published in PubMed from 1950 to 2020 and cross-referenced the keywords including “leukoencephalopathy”, “leukoaraiosis”, “white matter hyperintensity”, “white matter lesion”, “pathogenesis”, “pathology”, “pathophysiology”, and “neuroimaging”. Moreover, references of the selected articles were browsed and searched for additional pertinent articles. We believe this work will supply the robust references for clinicians to further understand the different WML patterns of varying vascular etiologies and thus make customized treatment.
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Affiliation(s)
- Xiaoqin Wu
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jingyuan Ya
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,4Division of Clinical Neuroscience, Queen's Medical Center School of Medicine, the University of Nottingham, Nottingham NG7 2UH, UK
| | - Da Zhou
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuchuan Ding
- 3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,5Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Xunming Ji
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ran Meng
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
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17
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Staszewski J, Dȩbiec A, Skrobowska E, Stȩpień A. Cerebral Vasoreactivity Changes Over Time in Patients With Different Clinical Manifestations of Cerebral Small Vessel Disease. Front Aging Neurosci 2021; 13:727832. [PMID: 34744687 PMCID: PMC8563577 DOI: 10.3389/fnagi.2021.727832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/13/2021] [Indexed: 01/15/2023] Open
Abstract
Objectives: Endothelial dysfunction (ED) has been linked to the pathogenesis of cerebral small vessel disease (SVD). We aimed to assess ED and cerebrovascular reactivity (CVR) in the patients with a diverse manifestation of SVD, with similar and extensive white matter lesions (WMLs, modified Fazekas scale grade ≥2), compared with a control group (CG) without the MRI markers of SVD, matched for age, gender, hypertension, diabetes, and to evaluate the change of CVR following 24 months. Methods: We repeatedly measured the vasomotor reactivity reserve (VMRr) and breath-holding index (BHI) of the middle cerebral artery (MCA) by the transcranial Doppler ultrasound (TCD) techniques in 60 subjects above 60 years with a history of lacunar stroke (LS), vascular dementia (VaD), or parkinsonism (VaP) (20 in each group), and in 20 individuals from a CG. Results: The mean age, frequency of the main vascular risk factors, and sex distribution were similar in the patients with the SVD groups and a CG. The VMRr and the BHI were more severely impaired at baseline (respectively, 56.7 ± 18% and 0.82 ± 0.39) and at follow-up (respectively, 52.3 ± 16.7% and 0.71 ± 0.38) in the patients with SVD regardless of the clinical manifestations (ANOVA, p > 0.1) than in the CG (respectively, baseline VMRr 77.2 ± 15.6%, BHI 1.15 ± 0.47, p < 0.001; follow-up VMRr 74.3 ± 17.6%, BHI 1.11 ± 0.4, p < 0.001). All the assessed CVR measures (VMRr and BHI) significantly decreased over time in the subjects with SVD (Wilcoxon's signed-rank test p = 0.01), but this was not observed in the CG (p > 0.1) and the decrease of CVR measures was not related to the SVD radiological progression (p > 0.1). Conclusions: This study provided evidence that the change in CVR measures is detectable over a 24-month period in patients with different clinical manifestations of SVD. Compared with the patients in CG with similar atherothrombotic risk factors, all the CVR measures (BMRr and BHI) significantly declined over time in the subjects with SVD. The reduction in CVR was not related to the SVD radiological progression.
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Affiliation(s)
- Jacek Staszewski
- Military Institute of Medicine, Clinic of Neurology, Warsaw, Poland
| | | | - Ewa Skrobowska
- Department of Radiology, Military Institute of Medicine, Warsaw, Poland
| | - Adam Stȩpień
- Military Institute of Medicine, Clinic of Neurology, Warsaw, Poland
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18
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Intraoperative BOLD-fMRI Cerebrovascular Reactivity Assessment. ACTA NEUROCHIRURGICA. SUPPLEMENT 2021. [PMID: 33973041 DOI: 10.1007/978-3-030-63453-7_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register]
Abstract
Blood oxygenation-level dependent cerebrovascular reactivity (BOLD-CVR) has gained attention in recent years as an effective way to investigate CVR, a measure of the hemodynamic state of the brain, with high spatial and temporal resolution. An association between impaired CVR and diverse pathologies has been observed, especially in ischemic cerebrovascular diseases and brain gliomas. The ability to obtain this information intraoperatively is novel and has not been widely tested. We report our first experience with this intraoperative technique in vascular and oncologic neurosurgical patients, discuss the results of its feasibility, and the possible developments of the intraoperative employment of BOLD-CVR.
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19
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Wang Y, Yan X, Zhan J, Zhang P, Zhang G, Ge S, Wen H, Wang L, Xu N, Lu L. Neuroimaging Markers of Cerebral Small Vessel Disease on Hemorrhagic Transformation and Functional Outcome After Intravenous Thrombolysis in Patients With Acute Ischemic Stroke: A Systematic Review and Meta-Analysis. Front Aging Neurosci 2021; 13:692942. [PMID: 34326767 PMCID: PMC8315270 DOI: 10.3389/fnagi.2021.692942] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/11/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: The aim of this study was to perform a systematic review and meta-analysis to assess whether cerebral small vessel disease (CSVD) on neuroimaging of patients with acute ischemic stroke (AIS) treated with intravenous thrombolysis (IVT) is associated with an increased risk of hemorrhagic transformation (HT), symptomatic intracranial hemorrhage (sICH), and poor functional outcome (PFO). Methods: A thorough search of several databases was carried out to identify relevant studies up to December 2020. We included studies of patients with AIS and neuroimaging markers of CSVD treated with IVT. The primary outcome was HT, and the secondary outcomes were sICH and 3-month PFO. The quality of the studies involved was evaluated using the Newcastle-Ottawa Scale (NOS). The meta-analysis with the fixed effects model was performed. Results: Twenty-four eligible studies (n = 9,419) were pooled in the meta-analysis. All included studies were regarded as high quality with the NOS scores of at least 6 points. The meta-analysis revealed associations between the presence of CSVD and HT, sICH, and the 3-month PFO after IVT. Compared with no CSVD, the presence of CSVD was associated with an increased risk of HT (OR: 1.81, 95% CI: 1.52-2.16), sICH (OR: 2.42, 95% CI: 1.76-3.33), and 3-month PFO (OR: 2.15, 95% CI: 1.89-2.44). For patients with AIS complicated with CSVD, compared with a CSVD score of 0-1, a CSVD score of 2-4 was associated with an increased risk of HT (OR: 3.10, 95% CI: 1.67-5.77), sICH (OR: 2.86, 95% CI: 1.26-6.49), and 3-month PFO (OR: 4.58, 95% CI: 2.97-7.06). Conclusion: Patients with AIS complicated with neuroimaging markers of CSVD are at increased risk of HT and 3-month PFO after IVT. However, it is still necessary to clarify the exact role of CSVD in the occurrence, development, and prognosis of AIS. Systematic Review Registration: www.ClinicalTrials.gov, identifier CRD4202123 3900.
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Affiliation(s)
- Yiqiao Wang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoting Yan
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jie Zhan
- Postdoctoral Programme, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Peiming Zhang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guangming Zhang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuqi Ge
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hao Wen
- Department of Neurology, The Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lin Wang
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Nenggui Xu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Liming Lu
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
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Imaging neurovascular, endothelial and structural integrity in preparation to treat small vessel diseases. The INVESTIGATE-SVDs study protocol. Part of the SVDs@Target project. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100020. [PMID: 36324725 PMCID: PMC9616332 DOI: 10.1016/j.cccb.2021.100020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/25/2021] [Accepted: 06/20/2021] [Indexed: 12/30/2022]
Abstract
Background Sporadic cerebral small vessel disease (SVD) and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) share clinical and neuroimaging features and possibly vascular dysfunction(s). However few studies have included both conditions, assessed more than one vascular dysfunction simultaneously, or included more than one centre. The INVESTIGATE-SVDs study will assess several cerebrovascular dysfunctions with MRI in participants with sporadic SVD or CADASIL at three European centres. Methods We will recruit participants with sporadic SVDs (ischaemic stroke or vascular cognitive impairment) and CADASIL in Edinburgh, Maastricht and Munich. We will perform detailed clinical and neuropsychological phenotyping of the participants, and neuroimaging including structural MRI, cerebrovascular reactivity MRI (CVR: using carbon dioxide challenge), phase contrast MRI (arterial, venous and CSF flow and pulsatility), dynamic contrast-enhanced MRI (blood brain barrier (BBB) leakage) and multishell diffusion imaging. Participants will measure their blood pressure (BP) and its variability over seven days using a telemetric device. Discussion INVESTIGATE-SVDs will assess the relationships of BBB integrity, CVR, pulsatility and CSF flow in sporadic SVD and CADASIL using a multisite, multimodal MRI protocol. We aim to establish associations between these measures of vascular function, risk factors particularly BP and its variability, and brain parenchymal lesions in these two SVD phenotypes. Additionally we will test feasibility of complex multisite MRI, provide reliable intermediary outcome measures and sample size estimates for future trials.
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Key Words
- BBB, blood brain barrier
- BOLD, blood oxygen level dependent
- BP, blood pressure
- BPv, blood pressure variability
- Blood-brain barrier permeability
- CADASIL
- CADASIL, cerebral autosomal dominant arteriopathy with leukoencephalopathy and subcortical infarcts
- CBF, cerebral blood flow
- CERAD+, consortium to establish a disease registry for Alzheimer's disease plus battery
- CO2, carbon dioxide
- CSF, cerebrospinal fluid
- CVR, cerebrovascular reactivity
- Cerebral small vessel disease
- Cerebrovascular reactivity
- DCE, dynamic contrast enhanced
- EtCO2, end-tidal carbon dioxide
- GM, grey matter
- MMSE, mini-mental state examination
- MRI
- MoCA, Montreal cognitive exam
- NIHSS, national institute for health stroke scale
- PI, pulsatility index
- PVS, perivascular space
- RSSI, recent small subcortical infarct
- SVDs, small vessel diseases
- WM, white matter
- WMH, white matter hyperintensity
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Liu C, Song JX, Guo ZB, Chen LM, Zhao CH, Zi WJ, Yang QW. Prognostic Structural Neural Markers of MRI in Response to Mechanical Thrombectomy for Basilar Artery Occlusion. Front Neurol 2021; 12:593914. [PMID: 34177752 PMCID: PMC8220209 DOI: 10.3389/fneur.2021.593914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 04/19/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: Mechanical thrombectomy (MT) has been an effective first-line therapeutic strategy for ischemic stroke. With impairment characteristics separating it from anterior circulation stroke, we aimed to explore prognostic structural neural markers for basilar artery occlusion (BAO) after MT. Methods: Fifty-four BAO patients with multi-modal magnetic resonance imaging at admission from the multicenter real-world designed BASILAR research were enrolled in this study. Features including volumes for cortical structures and subcortical regions, locations and volumes of infarctions, and white matter hyperintensity (WMH) volumes were recorded from all individuals. The impact features were identified using ANCOVA and logistic analysis. Another cohort (n = 21) was further recruited to verify the prognostic roles of screened prognostic structures. Results: For the primary clinical outcome, decreased brainstem volume and total infarction volumes from mesencephalon and midbrain were significantly related to reduced 90-day modified Rankin score (mRS) after MT treatment. WMH volume, WMH grade, average cortex thickness, white matter volume, and gray matter volume did not exhibit a remarkable relationship with the prognosis of BAO. The increased left caudate volume was obviously associated with early symptomatic recovery after MT. The prognostic role of the ratio of pons and midbrain infarct volume in brainstem was further confirmed in another cohort with area under the curve (AUC) = 0.77. Conclusions: This study was the first to provide comprehensive structural markers for the prognostic evaluation of BAO. The fully automatic and semiautomatic segmentation approaches in our study supported that the proportion of mesencephalon and midbrain infarct volume in brainstem was a crucial prognostic structural neural marker for BAO.
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Affiliation(s)
- Chang Liu
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jia-Xin Song
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhang-Bao Guo
- Department of Neurology, Wuhan No. 1 Hospital, Chongqing, China
| | - Lu-Ming Chen
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen-Hao Zhao
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wen-Jie Zi
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qing-Wu Yang
- Department of Neurology, Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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22
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Stringer MS, Blair GW, Shi Y, Hamilton I, Dickie DA, Doubal FN, Marshall IM, Thrippleton MJ, Wardlaw JM. A Comparison of CVR Magnitude and Delay Assessed at 1.5 and 3T in Patients With Cerebral Small Vessel Disease. Front Physiol 2021; 12:644837. [PMID: 34149442 PMCID: PMC8207286 DOI: 10.3389/fphys.2021.644837] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/15/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cerebrovascular reactivity (CVR) measures blood flow change in response to a vasoactive stimulus. Impairment is associated with several neurological conditions and can be measured using blood oxygen level-dependent (BOLD) magnetic resonance imaging (MRI). Field strength affects the BOLD signal, but the effect on CVR is unquantified in patient populations. METHODS We recruited patients with minor ischemic stroke and assessed CVR magnitude and delay time at 3 and 1.5 Tesla using BOLD MRI during a hypercapnic challenge. We assessed subcortical gray (GM) and white matter (WM) differences using Wilcoxon signed rank tests and scatterplots. Additionally, we explored associations with demographic factors, WM hyperintensity burden, and small vessel disease score. RESULTS Eighteen of twenty patients provided usable data. At 3T vs. 1.5T: mean CVR magnitude showed less variance (WM 3T: 0.062 ± 0.018%/mmHg, range 0.035, 0.093; 1.5T: 0.057 ± 0.024%/mmHg, range 0.016, 0.094) but was not systematically higher (Wilcoxon signal rank tests, WM: r = -0.33, confidence interval (CI): -0.013, 0.003, p = 0.167); delay showed similar variance (WM 3T: 40 ± 12 s, range: 12, 56; 1.5T: 31 ± 13 s, range 6, 50) and was shorter in GM (r = 0.33, CI: -2, 9, p = 0.164) and longer in WM (r = -0.59, CI: -16, -2, p = 0.010). Patients with higher disease severity tended to have lower CVR at 1.5 and 3T. CONCLUSION Mean CVR magnitude at 3T was similar to 1.5T but showed less variance. GM/WM delay differences may be affected by low signal-to-noise ratio among other factors. Although 3T may reduce variance in CVR magnitude, CVR is readily assessable at 1.5T and reveals comparable associations and trends with disease severity.
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Affiliation(s)
- Michael S. Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Gordon W. Blair
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Yulu Shi
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China
| | - Iona Hamilton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - David A. Dickie
- College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Fergus N. Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Ian M. Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom
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Liu W, Chen Z, Ortega D, Liu X, Huang X, Wang L, Chen L, Sun J, Hatsukami TS, Yuan C, Li H, Yang J. Arterial elasticity, endothelial function and intracranial vascular health: A multimodal MRI study. J Cereb Blood Flow Metab 2021; 41:1390-1397. [PMID: 33081567 PMCID: PMC8142128 DOI: 10.1177/0271678x20956950] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Vascular dysfunctions, including arterial stiffness and endothelial dysfunction, are prevalent in hypertensive subjects. We aimed to study their relations to subclinical intracranial vascular health in this study. A total of 200 older hypertensive males without overt cardiovascular or cerebrovascular diseases were recruited. Arterial elasticity was measured as carotid-femoral pulse wave velocity (cfPWV) and endothelial function was measured as digital reactive hyperemia index (RHI). Cerebrovascular health was evaluated using MRI in four aspects: intracranial atherosclerosis, brain perfusion as cerebral blood flow (CBF), vascular rarefaction analyzed as visible arterial branches on angiography using a custom-developed analysis technique and small vessel disease measured as white matter hyperintensity (WMH). There was a significant negative association between cfPWV and CBF, suggesting a link between arterial stiffness and CBF decline. Higher cfPWV was also associated with presence of intracranial stenotic plaque and greater WMH volume. RHI was positively related to CBF, indicating that endothelial dysfunction was associated with reduced CBF. All the associations remained significant after adjustment for confounding variables. Arterial stiffness and endothelial dysfunction are associated with reduced brain perfusion in older hypertensive males. Arterial stiffness is also associated with global cerebral vascular injury, affecting both small and medium-to-large arteries.
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Affiliation(s)
- Wenjin Liu
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Zhensen Chen
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Dakota Ortega
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Xuebing Liu
- Department of Radiology, Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoqin Huang
- Center for Kidney Disease, Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lulu Wang
- Center for Kidney Disease, Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Chen
- Electrical and Computer Engineering, University of Washington, Seattle, WA, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Thomas S Hatsukami
- Department of Surgery, Division of Vascular Surgery, University of Washington, Seattle, WA, USA
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Haige Li
- Department of Radiology, Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Junwei Yang
- Center for Kidney Disease, Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Shaaban CE, Rosano C, Cohen AD, Huppert T, Butters MA, Hengenius J, Parks WT, Catov JM. Cognition and Cerebrovascular Reactivity in Midlife Women With History of Preeclampsia and Placental Evidence of Maternal Vascular Malperfusion. Front Aging Neurosci 2021; 13:637574. [PMID: 34017243 PMCID: PMC8129174 DOI: 10.3389/fnagi.2021.637574] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 04/09/2021] [Indexed: 12/28/2022] Open
Abstract
Background: Preeclampsia is emerging as a sex-specific risk factor for cerebral small vessel disease (SVD) and dementia, but the reason is unknown. We assessed the relationship of maternal vascular malperfusion (MVM), a marker of placental SVD, with cognition and cerebral SVD in women with and without preeclampsia. We hypothesized women with both preeclampsia and MVM would perform worst on information processing speed and executive function. Methods: Women (n = 45; mean 10.5 years post-delivery; mean age: 41 years; 42.2% Black) were classified as preeclampsia-/MVM-, preeclampsia+/MVM-, or preeclampsia+/MVM+. Information processing speed, executive function, and memory were assessed. In a pilot sub-study of cerebrovascular reactivity (CVR; n = 22), cerebral blood flow during room-air breathing and breath-hold induced hypercapnia were obtained via arterial spin labeling MRI. Non-parametric tests and regression models were used to test associations. Results: Between-group cognitive differences were significant for information processing speed (p = 0.02); preeclampsia+/MVM+ had the lowest scores. Cerebral blood flow increased from room-air to breath-hold, globally and in all regions in the three groups, except the preeclampsia+/MVM+ parietal region (p = 0.12). Lower parietal CVR (less change from room-air breathing to breath-holding) was correlated with poorer information processing speed (partial ρ = 0.63, p = 0.005) and executive function (ρ = 0.50, p = 0.03) independent of preeclampsia/MVM status. Conclusion: Compared to women without preeclampsia and MVM, midlife women with both preeclampsia and MVM have worse information processing speed and may have blunted parietal CVR, an area important for information processing speed and executive function. MVM in women with preeclampsia is a promising sex-specific indicator of cerebrovascular integrity in midlife.
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Affiliation(s)
- C Elizabeth Shaaban
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.,Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, United States
| | - Caterina Rosano
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Theodore Huppert
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.,Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - James Hengenius
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States
| | - W Tony Parks
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Janet M Catov
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.,Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, United States
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Liu P, Liu G, Pinho MC, Lin Z, Thomas BP, Rundle M, Park DC, Huang J, Welch BG, Lu H. Cerebrovascular Reactivity Mapping Using Resting-State BOLD Functional MRI in Healthy Adults and Patients with Moyamoya Disease. Radiology 2021; 299:419-425. [PMID: 33687287 DOI: 10.1148/radiol.2021203568] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Cerebrovascular reserve, the potential capacity of brain tissue to receive more blood flow when needed, is a desirable marker in evaluating ischemic risk. However, current measurement methods require acetazolamide injection or hypercapnia challenge, prompting a clinical need for resting-state (RS) blood oxygen level-dependent (BOLD) functional MRI data to measure cerebrovascular reactivity (CVR). Purpose To optimize and evaluate an RS CVR MRI technique and demonstrate its relationship to neurosurgical treatment. Materials and Methods In this HIPAA-compliant study, RS BOLD functional MRI data collected in 170 healthy controls between December 2008 and September 2010 were retrospectively evaluated to identify the optimal frequency range of temporal filtering on the basis of spatial correlation with the reference standard CVR map obtained with CO2 inhalation. Next, the optimized RS method was applied in a new, prospective cohort of 50 participants with Moyamoya disease who underwent imaging between June 2014 and August 2019. Finally, CVR values were compared between brain hemispheres with and brain hemispheres without revascularization surgery by using Mann-Whitney U test. Results A total of 170 healthy controls (mean age ± standard deviation, 51 years ± 20; 105 women) and 100 brain hemispheres of 50 participants with Moyamoya disease (mean age, 41 years ± 12; 43 women) were evaluated. RS CVR maps based on a temporal filtering frequency of [0, 0.1164 Hz] yielded the highest spatial correlation (r = 0.74) with the CO2 inhalation CVR results. In patients with Moyamoya disease, 77 middle cerebral arteries (MCAs) had stenosis. RS CVR in the MCA territory was lower in the group that did not undergo surgery (n = 30) than in the group that underwent surgery (n = 47) (mean, 0.407 relative units [ru] ± 0.208 vs 0.532 ru ± 0.182, respectively; P = .006), which is corroborated with the CO2 inhalation CVR data (mean, 0.242 ru ± 0.273 vs 0.437 ru ± 0.200; P = .003). Conclusion Cerebrovascular reactivity mapping performed by using resting-state blood oxygen level-dependent functional MRI provided a task-free method to measure cerebrovascular reserve and depicted treatment effect of revascularization surgery in patients with Moyamoya disease comparable to that with the reference standard of CO2 inhalation MRI. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Wolf and Ware in this issue.
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Affiliation(s)
- Peiying Liu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Gongkai Liu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Marco C Pinho
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Zixuan Lin
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Binu P Thomas
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Melissa Rundle
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Denise C Park
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Judy Huang
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Babu G Welch
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
| | - Hanzhang Lu
- From the Departments of Radiology (P.L., G.L., Z.L., H.L.) and Neurosurgery (J.H.), Johns Hopkins University School of Medicine, 600 N Wolfe St, Park 324, Baltimore, MD 21287; Department of Radiology (M.C.P., B.G.W.), Advanced Imaging Research Center (M.C.P., B.P.T.), and Department of Neurologic Surgery (B.G.W.), UT Southwestern Medical Center, Dallas, Tex; and Center for Vital Longevity, University of Texas at Dallas, Dallas, Tex (M.R., D.C.P.)
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Stringer MS, Lee H, Huuskonen MT, MacIntosh BJ, Brown R, Montagne A, Atwi S, Ramirez J, Jansen MA, Marshall I, Black SE, Zlokovic BV, Benveniste H, Wardlaw JM. A Review of Translational Magnetic Resonance Imaging in Human and Rodent Experimental Models of Small Vessel Disease. Transl Stroke Res 2020; 12:15-30. [PMID: 32936435 PMCID: PMC7803876 DOI: 10.1007/s12975-020-00843-8] [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: 06/01/2020] [Revised: 08/16/2020] [Accepted: 08/19/2020] [Indexed: 12/29/2022]
Abstract
Cerebral small vessel disease (SVD) is a major health burden, yet the pathophysiology remains poorly understood with no effective treatment. Since much of SVD develops silently and insidiously, non-invasive neuroimaging such as MRI is fundamental to detecting and understanding SVD in humans. Several relevant SVD rodent models are established for which MRI can monitor in vivo changes over time prior to histological examination. Here, we critically review the MRI methods pertaining to salient rodent models and evaluate synergies with human SVD MRI methods. We found few relevant publications, but argue there is considerable scope for greater use of MRI in rodent models, and opportunities for harmonisation of the rodent-human methods to increase the translational potential of models to understand SVD in humans. We summarise current MR techniques used in SVD research, provide recommendations and examples and highlight practicalities for use of MRI SVD imaging protocols in pre-selected, relevant rodent models.
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Affiliation(s)
- Michael S Stringer
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Hedok Lee
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Mikko T Huuskonen
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Bradley J MacIntosh
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Rosalind Brown
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Axel Montagne
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sarah Atwi
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Maurits A Jansen
- Edinburgh Preclinical Imaging, Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Ian Marshall
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | - Sandra E Black
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Berislav V Zlokovic
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. .,UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
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Thomas MA, Hazany S, Ellingson BM, Hu P, Nguyen KL. Pathophysiology, classification, and MRI parallels in microvascular disease of the heart and brain. Microcirculation 2020; 27:e12648. [PMID: 32640064 DOI: 10.1111/micc.12648] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 06/12/2020] [Accepted: 07/02/2020] [Indexed: 12/13/2022]
Abstract
Diagnostic imaging technology in vascular disease has long focused on large vessels and the pathologic processes that impact them. With improved diagnostic techniques, investigators are now able to uncover many underlying mechanisms and prognostic factors for microvascular disease. In the heart and brain, these pathologic entities include coronary microvascular disease and cerebral small vessel disease, both of which have significant impact on patients, causing angina, myocardial infarction, heart failure, stroke, and dementia. In the current paper, we will discuss parallels in pathophysiology, classification, and diagnostic modalities, with a focus on the role of magnetic resonance imaging in microvascular disease of the heart and brain. Novel approaches for streamlined imaging of the cardiac and central nervous systems including the use of intravascular contrast agents such as ferumoxytol are presented, and unmet research gaps in diagnostics are summarized.
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Affiliation(s)
- Michael A Thomas
- Division of Cardiology, David Geffen School of Medicine at, UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Saman Hazany
- Department of Radiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Peng Hu
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Kim-Lien Nguyen
- Division of Cardiology, David Geffen School of Medicine at, UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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28
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Ghali MGZ, Marchenko V, Yaşargil MG, Ghali GZ. Structure and function of the perivascular fluid compartment and vertebral venous plexus: Illumining a novel theory on mechanisms underlying the pathogenesis of Alzheimer's, cerebral small vessel, and neurodegenerative diseases. Neurobiol Dis 2020; 144:105022. [PMID: 32687942 DOI: 10.1016/j.nbd.2020.105022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Revised: 06/13/2020] [Accepted: 07/15/2020] [Indexed: 01/14/2023] Open
Abstract
Blood dynamically and richly supplies the cerebral tissue via microvessels invested in pia matter perforating the cerebral substance. Arteries penetrating the cerebral substance derive an investment from one or two successive layers of pia mater, luminally apposed to the pial-glial basal lamina of the microvasculature and abluminally apposed to a series of aquaporin IV-studded astrocytic end feet constituting the soi-disant glia limitans. The full investment of successive layers forms the variably continuous walls of the periarteriolar, pericapillary, and perivenular divisions of the perivascular fluid compartment. The pia matter disappears at the distal periarteriolar division of the perivascular fluid compartment. Plasma from arteriolar blood sequentially transudates into the periarteriolar division of the perivascular fluid compartment and subarachnoid cisterns in precession to trickling into the neural interstitium. Fluid from the neural interstitium successively propagates into the venules through the subarachnoid cisterns and perivenular division of the perivascular fluid compartment. Fluid fluent within the perivascular fluid compartment flows gegen the net direction of arteriovenular flow. Microvessel oscillations at the central tendency of the cerebral vasomotion generate corresponding oscillations of within the surrounding perivascular fluid compartment, interposed betwixt the abluminal surface of the vessels and internal surface of the pia mater. The precise microanatomy of this most fascinating among designable spaces has eluded the efforts of various investigators to interrogate its structure, though most authors non-consensusly concur the investing layers effectively and functionally segregate the perivascular and subarachnoid fluid compartments. Enlargement of the perivascular fluid compartment in a variety of neurological disorders, including senile dementia of the Alzheimer's type and cerebral small vessel disease, may alternately or coordinately constitute a correlative marker of disease severity and a possible cause implicated in the mechanistic pathogenesis of these conditions. Venular pressures modulating oscillatory dynamic flow within the perivascular fluid compartment may similarly contribute to the development of a variety among neurological disorders. An intimate understanding of subtle features typifying microanatomy and microphysiology of the investing structures and spaces of the cerebral microvasculature may powerfully inform mechanistic pathophysiology mediating a variety of neurovascular ischemic, neuroinfectious, neuroautoimmune, and neurodegenerative diseases.
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Affiliation(s)
- Michael George Zaki Ghali
- Department of Neurological Surgery, University of California San Francisco, 505 Parnassus Street, San Francisco, CA 94143, United States; Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States.
| | - Vitaliy Marchenko
- Department of Neurobiology and Anatomy, 2900 W. Queen Lane, Philadelphia, PA 19129, United States; Department of Neurophysiology, Bogomoletz Institute, Kyiv, Ukraine; Department of Neuroscience, Московский государственный университет имени М. В., Ломоносова GSP-1, Leninskie Gory, Moscow 119991, Russian Federation
| | - M Gazi Yaşargil
- Department of Neurosurgery, University Hospital Zurich Rämistrasse 100, 8091 Zurich, Switzerland
| | - George Zaki Ghali
- United States Environmental Protection Agency, Arlington, Virginia, USA; Emeritus Professor of Toxicology, Purdue University, West Lafayette, Indiana, USA
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Chen DYT, Ishii Y, Fan AP, Guo J, Zhao MY, Steinberg GK, Zaharchuk G. Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test. Radiology 2020; 296:627-637. [PMID: 32662761 DOI: 10.1148/radiol.2020192793] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinically evaluate patients with cerebrovascular disease. However, acetazolamide use may be contraindicated and/or undesirable in certain clinical settings. Purpose To predict CVR images generated from acetazolamide vasodilation with a deep learning network by using only images before acetazolamide administration. Materials and Methods Simultaneous oxygen 15 (15O)-labeled water PET/MRI before and after acetazolamide injection were retrospectively analyzed for patients with Moyamoya disease and healthy control participants from April 2017 to May 2019. Inputs to deep learning models were perfusion-based images (arterial spin labeling [ASL]), structural scans (T2 fluid-attenuated inversion-recovery, T1), and brain location. Two models, that is, 15O-labeled water PET cerebral blood flow (CBF) and MRI (PET-plus-MRI model) before acetazolamide administration and only MRI (MRI-only model) before acetazolamide administration, were trained and tested with sixfold cross-validation. The models learned to predict a voxelwise relative CBF change (rΔCBF) map by using rΔCBF measured with PET due to acetazolamide as ground truth. Quantitative analysis included image quality metrics (peak signal-to-noise ratio, root mean square error, and structural similarity index), as well as comparison between the various methods by using correlation and Bland-Altman analyses. Identification of vascular territories with impaired rΔCBF was evaluated by using receiver operating characteristic metrics. Results Thirty-six participants were included: 24 patients with Moyamoya disease (mean age ± standard deviation, 41 years ± 12; 17 women) and 12 age-matched healthy control participants (mean age, 39 years ± 16; nine women). The rΔCBF maps predicted by both deep learning models demonstrated better image quality metrics than did ASL (all P < .001 in patients) and higher correlation coefficient with PET than with ASL (PET-plus-MRI model, 0.704; MRI-only model, 0.690 vs ASL, 0.432; both P < .001 in patients). Both models also achieved high diagnostic performance in identifying territories with impaired rΔCBF (area under receiver operating characteristic curve, 0.95 for PET-plus-MRI model [95% confidence interval: 0.90, 0.99] and 0.95 for MRI-only model [95% confidence interval: 0.91, 0.98]). Conclusion By using only images before acetazolamide administration, PET-plus-MRI and MRI-only deep learning models predicted cerebrovascular reserve images without the need for vasodilator injection. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- David Y T Chen
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Yosuke Ishii
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Audrey P Fan
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Jia Guo
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Moss Y Zhao
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Gary K Steinberg
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
| | - Greg Zaharchuk
- From the Department of Radiology, The Richard M. Lucas Center for Imaging, Stanford University, 1201 Welch Rd, Stanford, CA 94305 (D.Y.T.C., A.P.F., M.Y.Z., G.Z.); Department of Medical Imaging, Taipei Medical University-Shuan-Ho Hospital, New Taipei City, Taiwan (D.Y.T.C.); Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (D.Y.T.C.); Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan (Y.I.); Department of Bioengineering, University of California Riverside, Riverside, Calif (J.G.); and Department of Neurosurgery, Stanford University, Stanford, Calif (G.K.S.)
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30
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Clancy U, Garcia DJ, Stringer MS, Thrippleton MJ, Valdés-Hernández MC, Wiseman S, Hamilton OK, Chappell FM, Brown R, Blair GW, Hewins W, Sleight E, Ballerini L, Bastin ME, Maniega SM, MacGillivray T, Hetherington K, Hamid C, Arteaga C, Morgan AG, Manning C, Backhouse E, Hamilton I, Job D, Marshall I, Doubal FN, Wardlaw JM. Rationale and design of a longitudinal study of cerebral small vessel diseases, clinical and imaging outcomes in patients presenting with mild ischaemic stroke: Mild Stroke Study 3. Eur Stroke J 2020; 6:81-88. [PMID: 33817338 PMCID: PMC7995323 DOI: 10.1177/2396987320929617] [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: 02/25/2020] [Accepted: 04/14/2020] [Indexed: 12/21/2022] Open
Abstract
Background Cerebral small vessel disease is a major cause of dementia and stroke, visible on brain magnetic resonance imaging. Recent data suggest that small vessel disease lesions may be dynamic, damage extends into normal-appearing brain and microvascular dysfunctions include abnormal blood–brain barrier leakage, vasoreactivity and pulsatility, but much remains unknown regarding underlying pathophysiology, symptoms, clinical features and risk factors of small vessel disease. Patients and Methods: The Mild Stroke Study 3 is a prospective observational cohort study to identify risk factors for and clinical implications of small vessel disease progression and regression among up to 300 adults with non-disabling stroke. We perform detailed serial clinical, cognitive, lifestyle, physiological, retinal and brain magnetic resonance imaging assessments over one year; we assess cerebrovascular reactivity, blood flow, pulsatility and blood–brain barrier leakage on magnetic resonance imaging at baseline; we follow up to four years by post and phone. The study is registered ISRCTN 12113543. Summary Factors which influence direction and rate of change of small vessel disease lesions are poorly understood. We investigate the role of small vessel dysfunction using advanced serial neuroimaging in a deeply phenotyped cohort to increase understanding of the natural history of small vessel disease, identify those at highest risk of early disease progression or regression and uncover novel targets for small vessel disease prevention and therapy.
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Affiliation(s)
- Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Michael S Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | | | - Stewart Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Olivia Kl Hamilton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Rosalind Brown
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Gordon W Blair
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Will Hewins
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Emilie Sleight
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Tom MacGillivray
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Charlene Hamid
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Alasdair G Morgan
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Cameron Manning
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ellen Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Iona Hamilton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Dominic Job
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Biessels GJ, Nobili F, Teunissen CE, Simó R, Scheltens P. Understanding multifactorial brain changes in type 2 diabetes: a biomarker perspective. Lancet Neurol 2020; 19:699-710. [PMID: 32445622 DOI: 10.1016/s1474-4422(20)30139-3] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 03/20/2020] [Accepted: 04/08/2020] [Indexed: 12/14/2022]
Abstract
People with type 2 diabetes are at an increased risk of cognitive impairment and dementia (including Alzheimer's disease), as well as subtle forms of cognitive dysfunction. Current diabetes guidelines recommend screening for cognitive impairment in groups at high risk and providing guidance for diabetes management in patients with diabetes and cognitive impairment. Yet, no disease-modifying treatment is available and important questions remain about the mechanisms underlying diabetes-associated cognitive dysfunction. These mechanisms are likely to be multifactorial and different for subtle and more severe forms of diabetes-associated cognitive dysfunction. Over the past years, research on dementia, brain ageing, diabetes, and vascular disease has identified novel biomarkers of specific dementia aetiologies, brain parenchymal injury, and cerebral blood flow and metabolism. These markers shed light on the processes underlying diabetes-associated cognitive dysfunction, have clear applications in current research and increasingly in clinical diagnosis, and might ultimately guide targeted treatment.
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Affiliation(s)
- Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics, and Child and Mother Health, University of Genoa, Genoa, Italy; Clinical Neurology Unit, IRCSS Ospedale Policlinico San Martino, Genoa, Italy
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam, Netherlands
| | - Rafael Simó
- Diabetes and Metabolism Research Unit, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center Amsterdam, Amsterdam, Netherlands
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32
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Blair GW, Thrippleton MJ, Shi Y, Hamilton I, Stringer M, Chappell F, Dickie DA, Andrews P, Marshall I, Doubal FN, Wardlaw JM. Intracranial hemodynamic relationships in patients with cerebral small vessel disease. Neurology 2020; 94:e2258-e2269. [PMID: 32366534 PMCID: PMC7357294 DOI: 10.1212/wnl.0000000000009483] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 12/10/2019] [Indexed: 02/06/2023] Open
Abstract
Objective To investigate cerebrovascular reactivity (CVR), blood flow, vascular and CSF pulsatility, and their independent relationship with cerebral small vessel disease (SVD) features in patients with minor ischemic stroke and MRI evidence of SVD. Methods We recruited patients with minor ischemic stroke and assessed CVR using blood oxygen level–dependent MRI during a hypercapnic challenge, cerebral blood flow (CBF), vascular and CSF pulsatility using phase-contrast MRI, and structural magnetic resonance brain imaging to quantify white matter hyperintensities (WMHs) and perivascular spaces (PVSs). We used multiple regression to identify parameters associated with SVD features, controlling for patient characteristics. Results Fifty-three of 60 patients completed the study with a full data set (age 68.0% ± 8.8 years, 74% male, 75% hypertensive). After controlling for age, sex, and systolic blood pressure, lower white matter CVR was associated with higher WMH volume (−0.01%/mm Hg per log10 increase in WMH volume, p = 0.02), basal ganglia PVS (−0.01%/mm Hg per point increase in the PVS score, p = 0.02), and higher venous pulsatility (superior sagittal sinus −0.03%/mm Hg, p = 0.02, per unit increase in the pulsatility index) but not with CBF (p = 0.58). Lower foramen magnum CSF stroke volume was associated with worse white matter CVR (0.04%/mm Hg per mL increase in stroke volume, p = 0.04) and more severe basal ganglia PVS (p = 0.09). Conclusions Lower CVR, higher venous pulsatility, and lower foramen magnum CSF stroke volume indicate that dynamic vascular dysfunctions underpin PVS dysfunction and WMH development. Further exploration of microvascular dysfunction and CSF dynamics may uncover new mechanisms and intervention targets to reduce SVD lesion development, cognitive decline, and stroke.
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Affiliation(s)
- Gordon W Blair
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Michael J Thrippleton
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Yulu Shi
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Iona Hamilton
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Michael Stringer
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Francesca Chappell
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - David Alexander Dickie
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Peter Andrews
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Ian Marshall
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Fergus N Doubal
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- From the Brain Research Imaging Centre (G.W.B., M.J.T., Y.S., I.H., M.S., F.C., P.A., I.M., F.N.D., J.M.W.), Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom; UK Dementia Research Institute at The University of Edinburgh (G.W.B., M.J.T., Y.S., I.H., M.S., F.N.D., J.M.W.), Edinburgh Medical School, United Kingdom; Beijing Tiantan Hospital Affiliated to Capital Medical University (Y.S.), China; Institute of Cardiovascular and Medical Sciences (D.A.D.), University of Glasgow, United Kingdom; and Centre for Cognitive Ageing and Cognitive Epidemiology (J.M.W.), University of Edinburgh, United Kingdom.
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Liu P, Xu C, Lin Z, Sur S, Li Y, Yasar S, Rosenberg P, Albert M, Lu H. Cerebrovascular reactivity mapping using intermittent breath modulation. Neuroimage 2020; 215:116787. [PMID: 32278094 DOI: 10.1016/j.neuroimage.2020.116787] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 03/24/2020] [Accepted: 03/30/2020] [Indexed: 01/28/2023] Open
Abstract
Cerebrovascular reactivity (CVR), an index of brain vessel's dilatory capacity, is typically measured using hypercapnic gas inhalation or breath-holding as a vasoactive challenge. However, these methods require considerable subject cooperation and could be challenging in clinical studies. More recently, there have been attempts to use resting-state BOLD data to map CVR by utilizing spontaneous changes in breathing pattern. However, in subjects who have small fluctuations in their spontaneous breathing pattern, the CVR results could be noisy and unreliable. In this study, we aim to develop a new method for CVR mapping that does not require gas-inhalation yet provides substantially higher sensitivity than resting-state CVR mapping. This new method is largely based on resting-state scan, but introduces intermittent modulation of breathing pattern in the subject to enhance fluctuations in their end-tidal CO2 (EtCO2) level. Here we examined the comfort level, sensitivity, and accuracy of this method in two studies. First, in 8 healthy young subjects, we developed the intermittent breath-modulation method using two different modulation frequencies, 6 s per breath and 12 s per breath, respectively, and compared the results to three existing CVR methods, specifically hypercapnic gas inhalation, breath-holding, and resting-state. Our results showed that the comfort level of the 6-s breath-modulation method was significantly higher than breath-holding (p = 0.007) and CO2-inhalation (p = 0.015) methods, while not different from the resting-state, i.e. free breathing method (p = 0.52). When comparing the sensitivity of CVR methods, the breath-modulation methods revealed higher Z-statistics compared to the resting-state scan (p < 0.008) and was comparable to breath-holding results. Next, we tested the feasibility of breath-modulation CVR mapping (6 s per breath) in 21 cognitively normal elderly participants and compared quantitative CVR values to that obtained with the CO2-inhalation method. Whole-brain CVR was found to be 0.150 ± 0.055 and 0.154 ± 0.032 %ΔBOLD/mmHg for the breath-modulation and CO2-inhalation method, respectively, with a significant correlation between them (y = 0.97x, p = 0.007). CVR mapping with intermittent breath modulation may be a useful method that combines the advantages of resting-state and CO2-inhalation based approaches.
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Affiliation(s)
- Peiying Liu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Cuimei Xu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Zixuan Lin
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sandeepa Sur
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yang Li
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sevil Yasar
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Paul Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA
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Abner EL, Elahi FM, Jicha GA, Mustapic M, Al-Janabi O, Kramer JH, Kapogiannis D, Goetzl EJ. Endothelial-derived plasma exosome proteins in Alzheimer's disease angiopathy. FASEB J 2020; 34:5967-5974. [PMID: 32157747 PMCID: PMC7233139 DOI: 10.1096/fj.202000034r] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 02/27/2020] [Accepted: 02/28/2020] [Indexed: 12/30/2022]
Abstract
Small cerebral vascular disease (SCeVD) demonstrated by white matter hyperintensity (WMH) on MRI contributes to the development of dementia in Alzheimer's disease (AD), but it has not been possible to correlate onset, severity, or protein components of SCeVD with characteristics of WMH in living patients. Plasma endothelial-derived exosomes (EDEs) were enriched by two-step immunoabsorption from four groups of participants with no clinical evidence of cerebrovascular disease: cognitively normal (CN) without WMH (CN without SCeVD, n = 20), CN with SCeVD (n = 22), preclinical AD (pAD) + mild cognitive impairment (MCI) without SCeVD (pAD/MCI without SCeVD, n = 22), and pAD/MCI with SCeVD (n = 16) for ELISA quantification of cargo proteins. Exosome marker CD81-normalized EDE levels of the cerebrovascular-selective biomarkers large neutral amino acid transporter 1 (LAT-1), glucose transporter type 1 (Glut-1), and permeability-glycoprotein (p-GP, ABCB1) were similarly significantly higher in the CN with SCeVD and pAD/MCI with SCeVD groups than their corresponding control groups without SCeVD. CD81-normalized EDE levels of Aβ40 and Aβ42 were significantly higher in the pAD/MCI with SCeVD group but not in the CN with SCeVD group relative to controls without SCeVD. Levels of normal cellular prion protein (PrPc), a receptor for amyloid peptides, and phospho-181T-tau were higher in both CN and pAD/MCI with SCeVD groups than in the corresponding controls. High EDE levels of Aβ40, Aβ42, and phospho-181T-tau in patients with WMH suggesting SCeVD appear at the pre-clinical or MCI stage of AD and therapeutic lowering of neurotoxic peptide levels may delay progression of AD angiopathy.
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Affiliation(s)
- Erin L. Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - Fanny M. Elahi
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Gregory A. Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Maja Mustapic
- Cellular and Molecular Neurosciences Section, Laboratory of Neurosciences, National Institute on Aging, Baltimore, MD, USA
| | - Omar Al-Janabi
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Joel H. Kramer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Dimitrios Kapogiannis
- Cellular and Molecular Neurosciences Section, Laboratory of Neurosciences, National Institute on Aging, Baltimore, MD, USA
| | - Edward J. Goetzl
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Campus for Jewish Living, San Francisco, CA, USA
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Smith EE, Biessels GJ, De Guio F, de Leeuw FE, Duchesne S, Düring M, Frayne R, Ikram MA, Jouvent E, MacIntosh BJ, Thrippleton MJ, Vernooij MW, Adams H, Backes WH, Ballerini L, Black SE, Chen C, Corriveau R, DeCarli C, Greenberg SM, Gurol ME, Ingrisch M, Job D, Lam BY, Launer LJ, Linn J, McCreary CR, Mok VC, Pantoni L, Pike GB, Ramirez J, Reijmer YD, Romero JR, Ropele S, Rost NS, Sachdev PS, Scott CJ, Seshadri S, Sharma M, Sourbron S, Steketee RM, Swartz RH, van Oostenbrugge R, van Osch M, van Rooden S, Viswanathan A, Werring D, Dichgans M, Wardlaw JM. Harmonizing brain magnetic resonance imaging methods for vascular contributions to neurodegeneration. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:191-204. [PMID: 30859119 PMCID: PMC6396326 DOI: 10.1016/j.dadm.2019.01.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Many consequences of cerebrovascular disease are identifiable by magnetic resonance imaging (MRI), but variation in methods limits multicenter studies and pooling of data. The European Union Joint Program on Neurodegenerative Diseases (EU JPND) funded the HARmoNizing Brain Imaging MEthodS for VaScular Contributions to Neurodegeneration (HARNESS) initiative, with a focus on cerebral small vessel disease. METHODS Surveys, teleconferences, and an in-person workshop were used to identify gaps in knowledge and to develop tools for harmonizing imaging and analysis. RESULTS A framework for neuroimaging biomarker development was developed based on validating repeatability and reproducibility, biological principles, and feasibility of implementation. The status of current MRI biomarkers was reviewed. A website was created at www.harness-neuroimaging.org with acquisition protocols, a software database, rating scales and case report forms, and a deidentified MRI repository. CONCLUSIONS The HARNESS initiative provides resources to reduce variability in measurement in MRI studies of cerebral small vessel disease.
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Affiliation(s)
- Eric E. Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - François De Guio
- Department of Neurology, Lariboisière Hospital, University Paris Diderot, Paris, France
| | - Frank Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Simon Duchesne
- CERVO Research Center, Quebec Mental Health Institute, Québec, Canada
- Radiology Department, Université Laval, Québec, Canada
| | - Marco Düring
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Richard Frayne
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
- Seaman Family MR Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Eric Jouvent
- Department of Neurology, Lariboisière Hospital, University Paris Diderot, Paris, France
| | - Bradley J. MacIntosh
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Walter H. Backes
- Department of Radiology & Nuclear Medicine, School for Mental Health & Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Lucia Ballerini
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Sandra E. Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Christopher Chen
- Memory Aging and Cognition Centre, Department of Pharmacology, National University of Singapore, Singapore
| | - Rod Corriveau
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - M. Edip Gurol
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Michael Ingrisch
- Department of Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Dominic Job
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Bonnie Y.K. Lam
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Lenore J. Launer
- National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer Linn
- Institute of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Cheryl R. McCreary
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Seaman Family MR Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Vincent C.T. Mok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Leonardo Pantoni
- Luigi Sacco Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - G. Bruce Pike
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Alberta, Canada
| | - Joel Ramirez
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Yael D. Reijmer
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands
| | - Jose Rafael Romero
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Natalia S. Rost
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Christopher J.M. Scott
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Department of Medical Biophysics, Sunnybrook Research Institute, University of Toronto, Ontario, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Mukul Sharma
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Medicine (Neurology) McMaster University, Hamilton, Ontario, Canada
| | - Steven Sourbron
- Imaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Rebecca M.E. Steketee
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Richard H. Swartz
- Department of Medicine (Neurology), University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Robert van Oostenbrugge
- Department of Neurology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Matthias van Osch
- C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Stroke Service and Memory Disorders Unit, Massachusetts General Hospital, Boston, MA, USA
| | - David Werring
- University College London Queen Square institute of Neurology, London, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität LMU, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
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Jendzjowsky NG, Steinback CD, Herman RJ, Tsai WH, Costello FE, Wilson RJA. Functional-Optical Coherence Tomography: A Non-invasive Approach to Assess the Sympathetic Nervous System and Intrinsic Vascular Regulation. Front Physiol 2019; 10:1146. [PMID: 31572206 PMCID: PMC6751282 DOI: 10.3389/fphys.2019.01146] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 08/22/2019] [Indexed: 11/13/2022] Open
Abstract
Sympathetic nervous system dysregulation and vascular impairment in neuronal tissue beds are hallmarks of prominent cardiorespiratory diseases. However, an accurate and convenient method of assessing SNA and local vascular regulation is lacking, hindering routine clinical and research assessments. To address this, we investigated whether spectral domain optical coherence tomography (OCT), that allows investigation of retina and choroid vascular responsiveness, reflects sympathetic activity in order to develop a quick, easy and non-invasive sympathetic index. Here, we compare choroid and retina vascular perfusion density (VPD) acquired with OCT and heart rate variability (HRV) to microneurography. We recruited 6 healthy males (26 ± 3 years) and 5 healthy females (23 ± 1 year) and instrumented them for respiratory parameters, ECG, blood pressure and muscle sympathetic nerve microneurography. Choroid VPD decreases with the cold pressor test, inhaled hypoxia and breath-hold, and increases with hyperoxia and hyperpnea suggesting that sympathetic activity dominates choroid responses. In contrast, retina VPD was unaffected by the cold pressor test, increased with hypoxia and breath hold and decreases with hyperoxia and hyperpnea, suggesting metabolic vascular regulation dominates the retina. With regards to integrated muscle sympathetic nerve activity, HRV had low predictive power whereas choroid VPD was strongly (inversely) correlated with integrated muscle sympathetic nerve activity (R = -0.76; p < 0.0001). These data suggest that Functional-OCT may provide a novel approach to assess sympathetic activity and intrinsic vascular responsiveness (i.e., autoregulation). Given that sympathetic nervous system activity is the main determinant of autonomic function, sympathetic excitation is associated with severe cardiovascular/cardiorespiratory diseases and autoregulation is critical for brain health, we suggest that the use of our new Functional-OCT technique will be of broad interest to clinicians and researchers.
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Affiliation(s)
- Nicholas G Jendzjowsky
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Craig D Steinback
- Program for Pregnancy and Postpartum Health, Physical Activity and Diabetes Laboratory, Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Robert J Herman
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Willis H Tsai
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Fiona E Costello
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neuroscience, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Richard J A Wilson
- Department of Physiology and Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Schreiber S, Wilisch-Neumann A, Schreiber F, Assmann A, Scheumann V, Perosa V, Jandke S, Mawrin C, Carare RO, Werring DJ. Invited Review: The spectrum of age-related small vessel diseases: potential overlap and interactions of amyloid and nonamyloid vasculopathies. Neuropathol Appl Neurobiol 2019; 46:219-239. [PMID: 31386773 DOI: 10.1111/nan.12576] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 07/10/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022]
Abstract
Deep perforator arteriopathy (DPA) and cerebral amyloid angiopathy (CAA) are the commonest known cerebral small vessel diseases (CSVD), which cause ischaemic stroke, intracebral haemorrhage (ICH) and vascular cognitive impairment (VCI). While thus far mainly considered as separate entities, we here propose that DPA and CAA share similarities, overlap and interact, so that 'pure' DPA or CAA are extremes along a continuum of age-related small vessel pathologies. We suggest blood-brain barrier (BBB) breakdown, endothelial damage and impaired perivascular β-amyloid (Aβ) drainage are hallmark common mechanisms connecting DPA and CAA. We also suggest a need for new biomarkers (e.g. high-resolution imaging) to deepen understanding of the complex relationships between DPA and CAA.
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Affiliation(s)
- S Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany.,Center for behavioral brain sciences (CBBS), Magdeburg, Germany
| | - A Wilisch-Neumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - F Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - A Assmann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - V Scheumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - V Perosa
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - S Jandke
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - C Mawrin
- Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany
| | - R O Carare
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - D J Werring
- Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, The National Hospital for Neurology and Neurosurgery, London, UK
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Wardlaw JM, Smith C, Dichgans M. Small vessel disease: mechanisms and clinical implications. Lancet Neurol 2019; 18:684-696. [DOI: 10.1016/s1474-4422(19)30079-1] [Citation(s) in RCA: 500] [Impact Index Per Article: 100.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 02/01/2019] [Accepted: 02/07/2019] [Indexed: 02/06/2023]
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Atwi S, Shao H, Crane DE, da Costa L, Aviv RI, Mikulis DJ, Black SE, MacIntosh BJ. BOLD-based cerebrovascular reactivity vascular transfer function isolates amplitude and timing responses to better characterize cerebral small vessel disease. NMR IN BIOMEDICINE 2019; 32:e4064. [PMID: 30693582 DOI: 10.1002/nbm.4064] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 12/03/2018] [Accepted: 12/18/2018] [Indexed: 06/09/2023]
Abstract
Cerebrovascular reactivity (CVR) is a dynamic measure of the cerebral blood vessel response to vasoactive stimulus. Conventional CVR measures amplitude changes in the blood-oxygenation-level-dependent (BOLD) signal per unit change in end-tidal CO2 (PET CO2 ), effectively discarding potential timing information. This study proposes a deconvolution procedure to characterize CVR responses based on a vascular transfer function (VTF) that separates amplitude and timing CVR effects. We implemented the CVR-VTF to primarily evaluate normal-appearing white matter (WM) responses in those with a range of small vessel disease. Comparisons between simulations of PET CO2 input models revealed that boxcar and ramp hypercapnia paradigms had the lowest relative deconvolution error. We used a T2 * BOLD-MRI sequence on a 3 T MRI scanner, with a boxcar delivery model of CO2 , to test the CVR-VTF approach in 18 healthy adults and three white matter hyperintensity (WMH) groups: 20 adults with moderate WMH, 12 adults with severe WMH, and 10 adults with genetic WMH (CADASIL). A subset of participants performed a second CVR session at a one-year follow-up. Conventional CVR, area under the curve of VTF (VTF-AUC), and VTF time-to-peak (VTF-TTP) were assessed in WM and grey matter (GM) at baseline and one-year follow-up. WMH groups had lower WM VTF-AUC compared with the healthy group (p < 0.0001), whereas GM CVR did not differ between groups (p > 0.1). WM VTF-TTP of the healthy group was less than that in the moderate WMH group (p = 0.016). Baseline VTF-AUC was lower than follow-up VTF-AUC in WM (p = 0.013) and GM (p = 0.026). The intraclass correlation for VTF-AUC in WM was 0.39 and coefficient of repeatability was 0.08 [%BOLD/mm Hg]. This study assessed CVR timing and amplitude information without applying model assumptions to the CVR response; this approach may be useful in the development of robust clinical biomarkers of CSVD.
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Affiliation(s)
- Sarah Atwi
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Han Shao
- Division of Engineering Science, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada
| | - David E Crane
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Leodante da Costa
- Division of Neurosurgery, Department of Surgery, Sunnybrook Hospital, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Richard I Aviv
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - David J Mikulis
- Division of Neuroradiology, Joint Department of Medical Imaging, University Health Network, Toronto, Canada
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Sandra E Black
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
- Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
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Juttukonda MR, Donahue MJ. Neuroimaging of vascular reserve in patients with cerebrovascular diseases. Neuroimage 2019; 187:192-208. [PMID: 29031532 PMCID: PMC5897191 DOI: 10.1016/j.neuroimage.2017.10.015] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/01/2017] [Accepted: 10/07/2017] [Indexed: 12/21/2022] Open
Abstract
Cerebrovascular reactivity, defined broadly as the ability of brain parenchyma to adjust cerebral blood flow in response to altered metabolic demand or a vasoactive stimulus, is being measured with increasing frequency and may have a use for portending new or recurrent stroke risk in patients with cerebrovascular disease. The purpose of this review is to outline (i) the physiological basis of variations in cerebrovascular reactivity, (ii) available approaches for measuring cerebrovascular reactivity in research and clinical settings, and (iii) clinically-relevant cerebrovascular reactivity findings in the context of patients with cerebrovascular disease, including atherosclerotic arterial steno-occlusion, non-atherosclerotic arterial steno-occlusion, anemia, and aging. Literature references summarizing safety considerations for these procedures and future directions for standardizing protocols and post-processing procedures across centers are presented in the specific context of major unmet needs in the setting of cerebrovascular disease.
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Affiliation(s)
- Meher R Juttukonda
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Manus J Donahue
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, USA.
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41
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Farhat NS, Theiss R, Santini T, Ibrahim TS, Aizenstein HJ. Neuroimaging of Small Vessel Disease in Late-Life Depression. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1192:95-115. [PMID: 31705491 PMCID: PMC6939470 DOI: 10.1007/978-981-32-9721-0_5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cerebral small vessel disease is associated with late-life depression, cognitive impairment, executive dysfunction, distress, and loss of life for older adults. Late-life depression is becoming a substantial public health burden, and a considerable number of older adults presenting to primary care have significant clinical depression. Even though white matter hyperintensities are linked with small vessel disease, white matter hyperintensities are nonspecific to small vessel disease and can co-occur with other brain diseases. Advanced neuroimaging techniques at the ultrahigh field magnetic resonance imaging are enabling improved characterization, identification of cerebral small vessel disease and are elucidating some of the mechanisms that associate small vessel disease with late-life depression.
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Affiliation(s)
- Nadim S Farhat
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert Theiss
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tales Santini
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Tamer S Ibrahim
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Radiology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Howard J Aizenstein
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
- Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA.
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42
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Shaaban CE, Jorgensen DR, Gianaros PJ, Mettenburg J, Rosano C. Cerebrovascular disease: Neuroimaging of cerebral small vessel disease. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:225-255. [DOI: 10.1016/bs.pmbts.2019.07.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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43
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Cao R, Li J, Zhang C, Zuo Z, Hu S. Photoacoustic microscopy of obesity-induced cerebrovascular alterations. Neuroimage 2018; 188:369-379. [PMID: 30553918 DOI: 10.1016/j.neuroimage.2018.12.027] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 12/05/2018] [Accepted: 12/12/2018] [Indexed: 12/14/2022] Open
Abstract
Cerebral small vessel disease has been linked to cognitive, psychiatric and physical disabilities, especially in the elderly. However, the underlying pathophysiology remains incompletely understood, largely due to the limited accessibility of these small vessels in the live brain. Here, we report an intravital imaging and analysis platform for high-resolution, quantitative and comprehensive characterization of pathological alterations in the mouse cerebral microvasculature. By exploiting multi-parametric photoacoustic microscopy (PAM), microvascular structure, blood perfusion, oxygenation and flow were imaged in the awake brain. With the aid of vessel segmentation, these structural and functional parameters were extracted at the single-microvessel level, from which vascular density, tortuosity, wall shear stress, resistance and associated cerebral oxygen extraction fraction and metabolism were also quantified. With the use of vasodilatory stimulus, multifaceted cerebrovascular reactivity (CVR) was characterized in vivo. By extending the classic Evans blue assay to in vivo, permeability of the blood-brain barrier (BBB) was dynamically evaluated. The utility of this enabling technique was examined by studying cerebrovascular alterations in an established mouse model of high-fat diet-induced obesity. Our results revealed increased vascular density, reduced arterial flow, enhanced oxygen extraction, impaired BBB integrity, and increased multifaceted CVR in the obese brain. Interestingly, the 'counterintuitive' increase of CVR was supported by the elevated active endothelial nitric oxide synthase in the obese mouse. Providing comprehensive and quantitative insights into cerebral microvessels and their responses under pathological conditions, this technique opens a new door to mechanistic studies of the cerebral small vessel disease and its implications in neurodegeneration and stroke.
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Affiliation(s)
- Rui Cao
- Department of Biomedical Engineering, University of Virginia, Charlottesville, USA
| | - Jun Li
- Department of Anesthesiology, University of Virginia, Charlottesville, USA
| | - Chenchu Zhang
- Department of Biomedical Engineering, University of Virginia, Charlottesville, USA
| | - Zhiyi Zuo
- Department of Anesthesiology, University of Virginia, Charlottesville, USA.
| | - Song Hu
- Department of Biomedical Engineering, University of Virginia, Charlottesville, USA.
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44
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Effects of vasodilating medications on cerebral haemodynamics in health and disease: systematic review and meta-analysis. J Hypertens 2018; 37:1119-1125. [PMID: 30540658 PMCID: PMC6513078 DOI: 10.1097/hjh.0000000000002033] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Objectives: Vasodilating antihypertensives prevent stroke and potentially cerebral small vessel disease but their effects on cerebrovascular haemodynamics beyond blood pressure lowering are unclear. Methods: We searched PubMed, Medline, Embase, Cinahl, Psychinfo, Health Business Elite and Health Management Information Consortium for randomized studies of vasodilating medications, compared to no treatment or nonvasodilators, that reported effects on cerebral blood flow (CBF), mean blood flow velocity (MFV) or cerebrovascular reactivity. Absolute and standardized mean differences (SMD) were combined by inverse-variance weighted fixed or random-effects meta-analysis stratified by study design, population characteristics and vasodilator class. Results: In 35 studies reporting 57 comparisons, there was a reduction in SBP (−4.13 mmHg, −7.55 to −0.71, P = 0.018) but no change in MFV (ΔMFV 1.11, confidence interval −0.93 to 3.14, P = 0.29, 23 comparisons). MFV increased in patients with underlying conditions (3.41, 0.24 to 6.57, P = 0.04) but not in healthy study participants (−1.27, −5.18 to 2.64, P = 0.68), with no differences by vasodilating drug class. Cerebral pulsatility index was reduced across all studies (Δ pulsatility index −0.04, −0.07 to −0.02, P = 0.001; Δ pulsatility index -SMD −0.32, −0.47 to −0.16, P < 0.001), except in studies reporting responses to single drug doses (Δ pulsatility index 0.00, −0.09 to −0.08, P = 0.93). Despite evidence of reporting and publication bias, there was an apparent consistent reduction in CBF with vasodilators (CBF-SMD −0.24, −0.46 to −0.02, P = 0.03) with a significant increase in cerebrovascular reactivity-SMD (0.48, 0.13–0.83, P = 0.007). Conclusions: Despite reducing SBP, vasodilators did not significantly impair absolute CBF but improved cerebrovascular pulsatility and reactivity, suggesting therapeutic potential in preventing stroke and cerebral small vessel disease.
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Yuan J, Feng L, Hu W, Zhang Y. Use of Multimodal Magnetic Resonance Imaging Techniques to Explore Cognitive Impairment in Leukoaraiosis. Med Sci Monit 2018; 24:8910-8915. [PMID: 30531675 PMCID: PMC6296345 DOI: 10.12659/msm.912153] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Leukoaraiosis, also referred to as white-matter hyperintensities (WMHs) or age-related white matter changes, is the most frequently seen lesion on brain magnetic resonance images (MRI) in the elderly. LA is a subject of intense research interest, and is correlated with stroke, cognitive impairment or dementia, disturbances, affective disorders, and poor prognoses. Rapid advances in neuroimaging have enabled greater understanding of LA associated with aging-related cognitive decline or dementia. Recently, the techniques of multimodal MRI, such as structural MRI (sMRI), resting-state functional MRI (rs-MRI), cerebrovascular reactivity (CVR), diffusion tensor imaging (DTI), magnetic resonance spectroscopy (MRS), and dynamic contrast-enhanced MRI (DCE-MRI), have been used to explore the underlying mechanism of cognitive impairment in patients with LA. These multimodal MRI techniques may provide further insights into the structural and functional changes of LA with cognitive dysfunction.
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Affiliation(s)
- Junliang Yuan
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China (mainland)
| | - Li Feng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (mainland)
| | - Wenli Hu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China (mainland)
| | - Yumei Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University; China National Clinical Research Center for Neurological Diseases; Center of Stroke, Beijing Institute for Brain Disorders; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China (mainland)
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46
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New insights into cerebral small vessel disease and vascular cognitive impairment from MRI. Curr Opin Neurol 2018; 31:36-43. [PMID: 29084064 DOI: 10.1097/wco.0000000000000513] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW We review recent MRI research that addresses two important challenges in cerebral small vessel disease (SVD) research: early diagnosis, and linking SVD with cognitive impairment. First, we review studies of MRI measurements of blood flow and blood-brain barrier integrity. Second, we review MRI studies identifying neuroimaging correlates of SVD-related cognitive dysfunction, focusing on brain connectivity and white matter microarchitecture. This research is placed in context through discussion of recent recommendations for management of incidentally discovered SVD, and neuroimaging biomarker use in clinical trials. RECENT FINDINGS Cerebral perfusion, cerebrovascular reactivity (CVR), blood-brain barrier permeability, and white matter microarchitecture are measurable using MRI, and are altered in SVD. Lower cerebral blood flow predicts a higher future risk for dementia, whereas decreased CVR occurs at early stages of SVD and is associated with future white matter hyperintensity growth. Two new approaches to analyzing diffusion tensor imaging (DTI) data in SVD patients have emerged: graph theory-based analysis of networks of DTI connectivity between cortical nodes, and analysis of histograms of mean diffusivity of the hemispheric white matter. SUMMARY New, advanced quantitative neuroimaging techniques are not ready for routine radiological practice but are already being employed as monitoring biomarkers in the newest generation of trials for SVD.
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47
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Wardlaw JM. William M. Feinberg Award for Excellence in Clinical Stroke: Small Vessel Disease; a Big Problem, But Fixable. Stroke 2018; 49:1770-1775. [PMID: 29895535 DOI: 10.1161/strokeaha.118.021184] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 05/01/2018] [Accepted: 05/15/2018] [Indexed: 11/16/2022]
Affiliation(s)
- Joanna M Wardlaw
- From the Division of Neuroimaging Science, Centre for Clinical Brain Science, Edinburgh Imaging and UK Dementia Research Institute at the University of Edinburgh.
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48
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Usachev DY, Lukshin VA, Shmigel'skiy AV, Akhmedov AD, Sosnin AD, Kozlova KA. [Creation of extracranial-intracranial microvascular anastomosis under regional anesthesia (a case report and a review of the literature)]. ZHURNAL VOPROSY NEĬROKHIRURGII IMENI N. N. BURDENKO 2018; 81:88-95. [PMID: 28524130 DOI: 10.17116/neiro201781288-94] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The article describes a case of successful surgical treatment of an 81-year-old male patient with symptomatic occlusion of the internal carotid artery that led to severe impairment of cerebral hemodynamics and was accompanied by severe gait and equilibrium disorders. Given the patient's age and his positive medical history, he underwent surgery for the creation of an extracranial-intracranial microvascular anastomosis under regional anesthesia, with spontaneous breathing and a baseline level of consciousness being maintained. In the postoperative period, the patient achieved a marked clinical effect in the form of complete regression of syncopal conditions and gait disorders associated with recovery of cerebral perfusion in the right MCA territory. The article discusses the indications for surgical treatment and the technical details of surgery for the creation of an extracranial-intracranial microvascular anastomosis under regional anesthesia.
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Affiliation(s)
- D Yu Usachev
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - V A Lukshin
- Burdenko Neurosurgical Institute, Moscow, Russia
| | | | - A D Akhmedov
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - A D Sosnin
- Burdenko Neurosurgical Institute, Moscow, Russia
| | - K A Kozlova
- Burdenko Neurosurgical Institute, Moscow, Russia
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49
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Lang B, Kindy MS, Kozel FA, Schultz SK, Taheri S. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis 2018; 62:39-60. [DOI: 10.3233/jad-170733] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Brittany Lang
- Clinical Psychology Program, University of South Florida, Tampa, FL, USA
| | - Mark S. Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- James A. Haley VA Medical Center, Tampa, FL, USA
| | - F. Andrew Kozel
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Susan K. Schultz
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Saeid Taheri
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- Byrd Alzheimer’s Institute, Tampa, FL, USA
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50
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Pauls MMH, Moynihan B, Barrick TR, Kruuse C, Madigan JB, Hainsworth AH, Isaacs JD. The effect of phosphodiesterase-5 inhibitors on cerebral blood flow in humans: A systematic review. J Cereb Blood Flow Metab 2018; 38:189-203. [PMID: 29256324 PMCID: PMC5951021 DOI: 10.1177/0271678x17747177] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 10/17/2017] [Accepted: 10/20/2017] [Indexed: 11/29/2022]
Abstract
Agents that augment cerebral blood flow (CBF) could be potential treatments for vascular cognitive impairment. Phosphodiesterase-5 inhibitors are vasodilating drugs established in the treatment of erectile dysfunction (ED) and pulmonary hypertension. We reviewed published data on the effects of phosphodiesterase-5 inhibitors on CBF in adult humans. A systematic review according to PRISMA guidelines was performed. Embase, Medline and Cochrane Library Trials databases were searched. Sixteen studies with 353 participants in total were retrieved. Studies included healthy volunteers and patients with migraine, ED, type 2 diabetes, stroke, pulmonary hypertension, Becker muscular dystrophy and subarachnoid haemorrhage. Most studies used middle cerebral artery flow velocity to estimate CBF. Few studies employed direct measurements of tissue perfusion. Resting CBF velocity was unaffected by phosphodiesterase-5 inhibitors, but cerebrovascular regulation was improved in ED, pulmonary hypertension, diabetes, Becker's and a group of healthy volunteers. This evidence suggests that phosphodiesterase-5 inhibitors improve responsiveness of the cerebral vasculature, particularly in disease states associated with an impaired endothelial dilatory response. This supports the potential therapeutic use of phosphodiesterase-5 inhibitors in vascular cognitive impairment where CBF is reduced. Further studies with better resolution of deep CBF are warranted. The review is registered on the PROSPERO database (registration number CRD42016029668).
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Affiliation(s)
- Mathilde MH Pauls
- Molecular and Clinical Sciences Research
Institute, St George's University of London, London, UK
- Department of Neurology, St George's
University Hospitals NHS Foundation Trust, London, UK
| | - Barry Moynihan
- Department of Neurology, St George's
University Hospitals NHS Foundation Trust, London, UK
- Department of Geriatric and Stroke
Medicine, Beaumont Hospital, Dublin, Ireland
| | - Thomas R Barrick
- Molecular and Clinical Sciences Research
Institute, St George's University of London, London, UK
| | - Christina Kruuse
- Department of Neurology, Neurovascular
Research Unit, Herlev Gentofte Hospital and University of Copenhagen, Denmark
| | - Jeremy B Madigan
- Department of Neuroradiology, St
George's University Hospitals NHS Foundation Trust, London, UK
| | - Atticus H Hainsworth
- Molecular and Clinical Sciences Research
Institute, St George's University of London, London, UK
- Department of Neurology, St George's
University Hospitals NHS Foundation Trust, London, UK
| | - Jeremy D Isaacs
- Molecular and Clinical Sciences Research
Institute, St George's University of London, London, UK
- Department of Neurology, St George's
University Hospitals NHS Foundation Trust, London, UK
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