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Lecordier S, Manrique-Castano D, El Moghrabi Y, ElAli A. Neurovascular Alterations in Vascular Dementia: Emphasis on Risk Factors. Front Aging Neurosci 2021; 13:727590. [PMID: 34566627 PMCID: PMC8461067 DOI: 10.3389/fnagi.2021.727590] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 08/05/2021] [Indexed: 12/25/2022] Open
Abstract
Vascular dementia (VaD) constitutes the second most prevalent cause of dementia in the world after Alzheimer’s disease (AD). VaD regroups heterogeneous neurological conditions in which the decline of cognitive functions, including executive functions, is associated with structural and functional alterations in the cerebral vasculature. Among these cerebrovascular disorders, major stroke, and cerebral small vessel disease (cSVD) constitute the major risk factors for VaD. These conditions alter neurovascular functions leading to blood-brain barrier (BBB) deregulation, neurovascular coupling dysfunction, and inflammation. Accumulation of neurovascular impairments over time underlies the cognitive function decline associated with VaD. Furthermore, several vascular risk factors, such as hypertension, obesity, and diabetes have been shown to exacerbate neurovascular impairments and thus increase VaD prevalence. Importantly, air pollution constitutes an underestimated risk factor that triggers vascular dysfunction via inflammation and oxidative stress. The review summarizes the current knowledge related to the pathological mechanisms linking neurovascular impairments associated with stroke, cSVD, and vascular risk factors with a particular emphasis on air pollution, to VaD etiology and progression. Furthermore, the review discusses the major challenges to fully elucidate the pathobiology of VaD, as well as research directions to outline new therapeutic interventions.
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Affiliation(s)
- Sarah Lecordier
- Neuroscience Axis, Research Center of CHU de Québec-Université Laval, Québec City, QC, Canada.,Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec City, QC, Canada
| | - Daniel Manrique-Castano
- Neuroscience Axis, Research Center of CHU de Québec-Université Laval, Québec City, QC, Canada.,Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec City, QC, Canada
| | - Yara El Moghrabi
- Neuroscience Axis, Research Center of CHU de Québec-Université Laval, Québec City, QC, Canada.,Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec City, QC, Canada
| | - Ayman ElAli
- Neuroscience Axis, Research Center of CHU de Québec-Université Laval, Québec City, QC, Canada.,Department of Psychiatry and Neuroscience, Faculty of Medicine, Université Laval, Québec City, QC, Canada
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Hong H, Zhang R, Yu X, Jiaerken Y, Wang S, Luo X, Lou M, Huang P, Zhang M. Factors Associated With the Occurrence and Evolution of Recent Small Subcortical Infarcts (RSSIs) in Different Locations. Front Aging Neurosci 2020; 12:264. [PMID: 33005145 PMCID: PMC7479090 DOI: 10.3389/fnagi.2020.00264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 08/03/2020] [Indexed: 11/23/2022] Open
Abstract
Recent small subcortical infarcts (RSSIs) can occur in different brain regions. Distinct etiologies might be involved for RSSIs in different locations and could further affect RSSI cavitation and functional outcomes. In this study, we aim to analyze the baseline clinical and imaging characteristics associated with the occurrence and cavitation of RSSIs in different locations. We retrospectively include patients who presented with RSSIs from a database for cerebral small vessel disease. Detailed information, including demographic, clinical, laboratory, and radiological data, were collected. We identify baseline RSSIs on diffusion-weighted images and divide them into brainstem, subcortical white matter, and basal ganglia region groups. Cavitation is evaluated on follow-up T2 fluid-attenuated inversion recovery (FLAIR) images. Statistical analysis is performed to determine factors associated with the occurrence and cavitation of RSSIs in different locations. We find that patients with brainstem RSSIs have a higher proportion of diabetes (64.1%) compared to patients with subcortical white matter (27.3%, P < 0.001) and basal ganglia region RSSIs (35.2%, P = 0.006) and have higher levels of HbA1c (7.20%) compared to patients with subcortical white matter (6.10%, P = 0.001) and basal ganglia region RSSIs (6.20%, P = 0.003). In addition, patients with brainstem RSSIs have higher NIHSS scores than patients with subcortical white matter RSSIs (2 vs 0, P = 0.001). Patients with subcortical white matter RSSIs have higher a white matter hyperintensity (WMH) burden compared to patients with basal ganglia region RSSIs (21.64 cm3 vs 11.10 cm3, P = 0.004). Follow-up analysis demonstrates that basal ganglia region RSSIs are less likely to cavitate than subcortical white matter RSSIs (61.4% vs 83.6%, P = 0.010), and contacting with WMH is associated with the cavitation of subcortical white matter RSSIs (OR: 101.760, P = 0.003). Our study demonstrates that RSSIs in different locations are associated with different clinical and imaging characteristics. Furthermore, cavitation of RSSIs might be affected by local lesion features and the surrounding environment rather than general demographic and clinical factors.
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Affiliation(s)
- Hui Hong
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Min Lou
- Department of Neurology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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Zhang X, Ge Y, Liang C, Wang Y. Cavitation of symptomatic acute single small subcortical infarctions. Neurol Sci 2020; 41:3705-3710. [PMID: 32518995 DOI: 10.1007/s10072-020-04509-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 05/30/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND AND PURPOSE To investigate cavitation of symptomatic acute single small subcortical infarctions (SSSI). METHODS Acute SSSI were diagnosed with magnetic resonance (MR) diffusion-weighted imaging (DWI) combined with apparent diffusion coefficient (ADC) sequence on follow-up MR imaging. Cavitation of the acute SSSI was comprehensively viewed on FLAIR, T2-, and T1-weighted sequences. RESULTS We enrolled 123 patients with acute SSSI. The follow-up median interval was 303 (125-390) days. The lesions of SSSI evolved into cavitation in 93 patients (75.6%), evolved into WMHs in nine patients (7.3%), and were no visible in 21 patients (17.1%). Cavitation was independently associated with larger infarct diameter on baseline DWI [odds ratio (OR), 1.250, 95% CI (1.078-1.451), P = 0.003], higher score of baseline old lacunar infarct [OR 3.44, 95% CI (1.49-7.91), P = 0.004], and lower rate of dyslipidemia [OR 0.30, 95% CI (0.10-0.76), P = 0.013]. CONCLUSION Cavitation occurred more in the setting of small vessel diseased brain and less in the SSSI of possible atherosclerotic etiology. This suggested that the etiology of infarct was associated with cavitation after acute SSSI.
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Affiliation(s)
- Xin Zhang
- Cerebrovascular Disease Center, Department of Neurology, People's Hospital, China Medical University, 33 Wenyi Road, Shenhe District, Shenyang, 110016, People's Republic of China.,China Medical University, 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, People's Republic of China
| | - Yonggui Ge
- Cerebrovascular Disease Center, Department of Neurology, People's Hospital, China Medical University, 33 Wenyi Road, Shenhe District, Shenyang, 110016, People's Republic of China.,Dalian Medical University, 9 Western Section, Lvshun South Street, Lvshunkou District, Dalian, 116044, People's Republic of China
| | - Caihong Liang
- Cerebrovascular Disease Center, Department of Neurology, People's Hospital, China Medical University, 33 Wenyi Road, Shenhe District, Shenyang, 110016, People's Republic of China.,China Medical University, 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, People's Republic of China
| | - Yujie Wang
- Cerebrovascular Disease Center, Department of Neurology, People's Hospital, China Medical University, 33 Wenyi Road, Shenhe District, Shenyang, 110016, People's Republic of China.
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Patwa J, Flora SJS. Heavy Metal-Induced Cerebral Small Vessel Disease: Insights into Molecular Mechanisms and Possible Reversal Strategies. Int J Mol Sci 2020; 21:ijms21113862. [PMID: 32485831 PMCID: PMC7313017 DOI: 10.3390/ijms21113862] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/24/2020] [Accepted: 05/25/2020] [Indexed: 12/11/2022] Open
Abstract
Heavy metals are considered a continuous threat to humanity, as they cannot be eradicated. Prolonged exposure to heavy metals/metalloids in humans has been associated with several health risks, including neurodegeneration, vascular dysfunction, metabolic disorders, cancer, etc. Small blood vessels are highly vulnerable to heavy metals as they are directly exposed to the blood circulatory system, which has comparatively higher concentration of heavy metals than other organs. Cerebral small vessel disease (CSVD) is an umbrella term used to describe various pathological processes that affect the cerebral small blood vessels and is accepted as a primary contributor in associated disorders, such as dementia, cognitive disabilities, mood disorder, and ischemic, as well as a hemorrhagic stroke. In this review, we discuss the possible implication of heavy metals/metalloid exposure in CSVD and its associated disorders based on in-vitro, preclinical, and clinical evidences. We briefly discuss the CSVD, prevalence, epidemiology, and risk factors for development such as genetic, traditional, and environmental factors. Toxic effects of specific heavy metal/metalloid intoxication (As, Cd, Pb, Hg, and Cu) in the small vessel associated endothelium and vascular dysfunction too have been reviewed. An attempt has been made to highlight the possible molecular mechanism involved in the pathophysiology, such as oxidative stress, inflammatory pathway, matrix metalloproteinases (MMPs) expression, and amyloid angiopathy in the CSVD and related disorders. Finally, we discussed the role of cellular antioxidant defense enzymes to neutralize the toxic effect, and also highlighted the potential reversal strategies to combat heavy metal-induced vascular changes. In conclusion, heavy metals in small vessels are strongly associated with the development as well as the progression of CSVD. Chelation therapy may be an effective strategy to reduce the toxic metal load and the associated complications.
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Abstract
Cerebral small vessel disease (CSVD) is composed of several diseases affecting the small arteries, arterioles, venules, and capillaries of the brain, and refers to several pathological processes and etiologies. Neuroimaging features of CSVD include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. The main clinical manifestations of CSVD include stroke, cognitive decline, dementia, psychiatric disorders, abnormal gait, and urinary incontinence. Currently, there are no specific preventive or therapeutic measures to improve this condition. In this review, we will discuss the pathophysiology, clinical aspects, neuroimaging, progress of research to treat and prevent CSVD and current treatment of this disease.
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Affiliation(s)
- Qian Li
- 1 Department of Pediatrics, The Third Affiliated Hospital & Field Surgery Institution, Army Medical University, Chongqing, China.,Both the authors contributed equally as co-authors
| | - Yang Yang
- 2 Department of Neurology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.,Both the authors contributed equally as co-authors
| | - Cesar Reis
- 3 Department of Physiology and Pharmacology, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Tao Tao
- 2 Department of Neurology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Wanwei Li
- 1 Department of Pediatrics, The Third Affiliated Hospital & Field Surgery Institution, Army Medical University, Chongqing, China
| | - Xiaogang Li
- 2 Department of Neurology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - John H Zhang
- 3 Department of Physiology and Pharmacology, Loma Linda University School of Medicine, Loma Linda, CA, USA.,4 Department of Anesthesiology, Loma Linda University School of Medicine, Loma Linda, CA, USA
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van Leijsen EMC, van Uden IWM, Ghafoorian M, Bergkamp MI, Lohner V, Kooijmans ECM, van der Holst HM, Tuladhar AM, Norris DG, van Dijk EJ, Rutten-Jacobs LCA, Platel B, Klijn CJM, de Leeuw FE. Nonlinear temporal dynamics of cerebral small vessel disease: The RUN DMC study. Neurology 2017; 89:1569-1577. [PMID: 28878046 PMCID: PMC5634663 DOI: 10.1212/wnl.0000000000004490] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 07/10/2017] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the temporal dynamics of cerebral small vessel disease (SVD) by 3 consecutive assessments over a period of 9 years, distinguishing progression from regression. METHODS Changes in SVD markers of 276 participants of the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Imaging Cohort (RUN DMC) cohort were assessed at 3 time points over 9 years. We assessed white matter hyperintensities (WMH) volume by semiautomatic segmentation and rated lacunes and microbleeds manually. We categorized baseline WMH severity as mild, moderate, or severe according to the modified Fazekas scale. We performed mixed-effects regression analysis including a quadratic term for increasing age. RESULTS Mean WMH progression over 9 years was 4.7 mL (0.54 mL/y; interquartile range 0.95-5.5 mL), 20.3% of patients had incident lacunes (2.3%/y), and 18.9% had incident microbleeds (2.2%/y). WMH volume declined in 9.4% of the participants during the first follow-up interval, but only for 1 participant (0.4%) throughout the whole follow-up. Lacunes disappeared in 3.6% and microbleeds in 5.7% of the participants. WMH progression accelerated over time: including a quadratic term for increasing age during follow-up significantly improved the model (p < 0.001). SVD progression was predominantly seen in participants with moderate to severe WMH at baseline compared to those with mild WMH (odds ratio [OR] 35.5, 95% confidence interval [CI] 15.8-80.0, p < 0.001 for WMH progression; OR 5.7, 95% CI 2.8-11.2, p < 0.001 for incident lacunes; and OR 2.9, 95% CI 1.4-5.9, p = 0.003 for incident microbleeds). CONCLUSIONS SVD progression is nonlinear, accelerating over time, and a highly dynamic process, with progression interrupted by reduction in some, in a population that on average shows progression.
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Affiliation(s)
- Esther M C van Leijsen
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Ingeborg W M van Uden
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Mohsen Ghafoorian
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Mayra I Bergkamp
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Valerie Lohner
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Eline C M Kooijmans
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Helena M van der Holst
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Anil M Tuladhar
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - David G Norris
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Ewoud J van Dijk
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Loes C A Rutten-Jacobs
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Bram Platel
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Catharina J M Klijn
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany
| | - Frank-Erik de Leeuw
- From the Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroscience, Department of Neurology (E.M.C.v.L., I.W.M.v.U., M.I.B., V.L., E.C.M.K., H.M.v.d.H., A.M.T., E.J.v.D., C.J.M.K., F.-E.d.L.), and Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine (M.G., B.P.), Radboud University Medical Centre; Institute for Computing and Information Sciences (M.G.) and Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging (D.G.N.), Radboud University, Nijmegen, the Netherlands; Department of Clinical Neurosciences, Neurology Unit (L.C.A.R.-J.), University of Cambridge, UK; and Erwin L. Hahn Institute for Magnetic Resonance Imaging (D.G.N.), University of Duisburg-Essen, Essen, Germany.
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van Leijsen EMC, de Leeuw FE, Tuladhar AM. Disease progression and regression in sporadic small vessel disease-insights from neuroimaging. Clin Sci (Lond) 2017; 131:1191-206. [PMID: 28566448 DOI: 10.1042/CS20160384] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/17/2023]
Abstract
Cerebral small vessel disease (SVD) is considered the most important vascular contributor to the development of dementia. Comprehensive characterization of the time course of disease progression will result in better understanding of aetiology and clinical consequences of SVD. SVD progression has been studied extensively over the years, usually describing change in SVD markers over time using neuroimaging at two time points. As a consequence, SVD is usually seen as a rather linear, continuously progressive process. This assumption of continuous progression of SVD markers was recently challenged by several studies that showed regression of SVD markers. Here, we provide a review on disease progression in sporadic SVD, thereby taking into account both progression and regression of SVD markers with emphasis on white matter hyperintensities (WMH), lacunes and microbleeds. We will elaborate on temporal dynamics of SVD progression and discuss the view of SVD progression as a dynamic process, rather than the traditional view of SVD as a continuous progressive process, that might better fit evidence from longitudinal neuroimaging studies. We will discuss possible mechanisms and clinical implications of a dynamic time course of SVD, with both progression and regression of SVD markers.
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Gesierich B, Duchesnay E, Jouvent E, Chabriat H, Schmidt R, Mangin JF, Duering M, Dichgans M. Features and Determinants of Lacune Shape: Relationship With Fiber Tracts and Perforating Arteries. Stroke 2016; 47:1258-64. [PMID: 27048698 DOI: 10.1161/strokeaha.116.012779] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 03/04/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Lacunes are a major manifestation of cerebral small vessel disease. Although still debated, the morphological features of lacunes may offer mechanistic insights. We systematically analyzed the shape of incident lacunes in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, a genetically defined small vessel disease. METHODS A total of 88 incident lacunes from 57 patients were segmented from 3-dimensional T1 magnetic resonance images and 3 dimensionally reconstructed. Anatomic location, diameter, volume, surface area, and compactness of lacunes were assessed. The shape was analyzed using a size, orientation, and position invariant spectral shape descriptor. We further investigated the relationship with perforating arteries and fiber tracts. RESULTS Lacunes were most abundant in the centrum semiovale and the basal ganglia. Diameter, volume, and surface area of lacunes in the basal ganglia and centrum semiovale were larger than in other brain regions. The spectral shape descriptor revealed a continuum of shapes with no evidence for distinct classes of lacunes. Shapes varied mostly in elongation and planarity. The main axis and plane of lacunes were found to align with the orientation of perforating arteries but not with fiber tracts. CONCLUSIONS Elongation and planarity are the primary shape principles of lacunes. Their main axis and plane align with perforating arteries. Our findings add to current concepts on the mechanisms of lacunes.
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Affiliation(s)
- Benno Gesierich
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Edouard Duchesnay
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Eric Jouvent
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Hugues Chabriat
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Reinhold Schmidt
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Jean-Francois Mangin
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Marco Duering
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans)
| | - Martin Dichgans
- From the Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität (LMU), Munich, Germany (B.G., M. Duering, M. Dichgans); Neurospin, CEA Saclay, Paris, France (E.D., J.-F.M.); Department of Neurology, DHU NeuroVasc, Hopital Lariboisiere, APHP, Paris, France (E.J., H.C.); Department of Neurology, Medical University of Graz, Austria (R.S.); Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M. Dichgans); and German Center for Neurodegenerative Diseases (DZNE), Munich, Germany (M. Dichgans).
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