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MRI progression of cerebral small vessel disease and cognitive decline in patients with hypertension. J Hypertens 2017; 35:1263-1270. [PMID: 28169884 DOI: 10.1097/hjh.0000000000001294] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Hypertension is associated with cognitive deficits, probably because it is a major risk factor for the development of white matter hyperintensities (WMH), lacunes, and cerebral microbleeds, which are MRI markers of cerebral small vessel disease. Studies into associations between presence or progression of these MRI markers and cognitive decline in hypertensive patients are rare. We investigated the association of baseline presence and progression of MRI markers of cerebral small vessel disease with cognitive decline over 4 years in patients with hypertension. METHODS In this longitudinal study, hypertensive patients underwent neuropsychological assessments and brain MRI at baseline and after 4 years. Presence and progression of periventricular and subcortical WMH, lacunes, and cerebral microbleeds were visually rated. RESULTS In total, 128 hypertensive patients (90 patients with essential hypertension and 38 hypertensive lacunar stroke patients), mean age: 58.6 ± 12.2 years, were included. Progression of periventricular WMH was associated with cognitive decline in simple regression analysis (P = 0.001) and in multivariable analysis with correction for baseline WMH presence and potential confounders (P = 0.004). In this multivariable analysis, R of progression of periventricular WMH was 5.6%, whereas R of baseline presence of periventricular WMH was 0.6%. We did not find significant associations between baseline presence or progression of the other MRI markers and cognitive decline. CONCLUSION In patients with hypertension, progression of periventricular WMH over 4 years is associated with cognitive decline, whereas we could not show an association between baseline periventricular WMH and cognitive decline. These results emphasize the importance of preventing progression of WMH in hypertensive patients.
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Executive Function Declines in the First 6 Months After a Transient Ischemic Attack or Transient Neurological Attack. Stroke 2017; 48:3323-3328. [DOI: 10.1161/strokeaha.117.018298] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 09/30/2017] [Accepted: 10/04/2017] [Indexed: 11/16/2022]
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Staszewski J, Piusińska-Macoch R, Brodacki B, Skrobowska E, Stępień A. Association between hemostatic markers, serum lipid fractions and progression of cerebral small vessel disease: A 2-year follow-up study. Neurol Neurochir Pol 2017; 52:54-63. [PMID: 29173807 DOI: 10.1016/j.pjnns.2017.11.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/31/2017] [Accepted: 11/02/2017] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Little is known if hemostatic markers and serum lipid fractions can predict further radiological progression beyond vascular risk factors in cerebral small vessel disease (SVD). We investigated whether they are associated with SVD radiological progression and if they are related to different SVD clinical manifestations. METHODS A single-center, prospective, cohort study with 2 years of radiological follow-up was performed in consecutive patients with different SVD manifestations. The study group consisted of 123 patients: 49 with lacunar stroke (LS), 48 with vascular dementia (VaD) and 26 with vascular parkinsonism (VaP). We assessed SVD progression by a visual SVD scale. We determined the relationship between serum or plasma concentrations of tissue factor (TF), thrombomodulin, beta-thromboglobulin (BTG), fibrinogen, D-dimer and total cholesterol, HDL-C, LDL-C, triglycerides and SVD progression by logistic regression analysis. RESULTS 34.9% patients had SVD radiological progression: 43% had isolated WMLs progression, 23.2% had new lacunes, 34.8% had both WMLs progression and new lacunes. Fibrinogen [OR 1.02 (95% CI 1.006-1.011] was significantly associated with risk of new lacunes or WMLs progression regardless of the clinical SVD manifestation. While low HDL [OR 0.96 (0.93-1)] and TF [OR 1.07 (0.99-1.1)] were marginally associated with new lacunes, BTG [OR 1.005 (0.99-1.01)] was associated with WMLs progression. CONCLUSION We found a relationship between fibrinogen and risk of radiological progression of SVD regardless of the clinical SVD manifestation. In addition, lower HDL and increased TF predicted development of new lacunes, and higher BTG was associated with risk of WMLs progression.
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Affiliation(s)
- Jacek Staszewski
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland.
| | | | - Bogdan Brodacki
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
| | - Ewa Skrobowska
- Department of Radiology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
| | - Adam Stępień
- Clinic of Neurology, Military Institute of Medicine, Szaserow 128, Warsaw 04-141, Poland
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Wardlaw JM, Chappell FM, Valdés Hernández MDC, Makin SDJ, Staals J, Shuler K, Thrippleton MJ, Armitage PA, Muñoz-Maniega S, Heye AK, Sakka E, Dennis MS. White matter hyperintensity reduction and outcomes after minor stroke. Neurology 2017; 89:1003-1010. [PMID: 28794252 PMCID: PMC5589793 DOI: 10.1212/wnl.0000000000004328] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 05/11/2017] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE To assess factors associated with white matter hyperintensity (WMH) change in a large cohort after observing obvious WMH shrinkage 1 year after minor stroke in several participants in a longitudinal study. METHODS We recruited participants with minor ischemic stroke and performed clinical assessments and brain MRI. At 1 year, we assessed recurrent cerebrovascular events and dependency and repeated the MRI. We assessed change in WMH volume from baseline to 1 year (normalized to percent intracranial volume [ICV]) and associations with baseline variables, clinical outcomes, and imaging parameters using multivariable analysis of covariance, model of changes, and multinomial logistic regression. RESULTS Among 190 participants (mean age 65.3 years, range 34.3-96.9 years, 112 [59%] male), WMH decreased in 71 participants by 1 year. At baseline, participants whose WMH decreased had similar WMH volumes but higher blood pressure (p = 0.0064) compared with participants whose WMH increased. At 1 year, participants with WMH decrease (expressed as percent ICV) had larger reductions in blood pressure (β = 0.0053, 95% confidence interval [CI] 0.00099-0.0097 fewer WMH per 1-mm Hg decrease, p = 0.017) and in mean diffusivity in normal-appearing white matter (β = 0.075, 95% CI 0.0025-0.15 fewer WMH per 1-unit mean diffusivity decrease, p = 0.043) than participants with WMH increase; those with WMH increase experienced more recurrent cerebrovascular events (32%, vs 16% with WMH decrease, β = 0.27, 95% CI 0.047-0.50 more WMH per event, p = 0.018). CONCLUSIONS Some WMH may regress after minor stroke, with potentially better clinical and brain tissue outcomes. The role of risk factor control requires verification. Interstitial fluid alterations may account for some WMH reversibility, offering potential intervention targets.
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Affiliation(s)
- Joanna M Wardlaw
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK.
| | - Francesca M Chappell
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Maria Del Carmen Valdés Hernández
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Stephen D J Makin
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Julie Staals
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Kirsten Shuler
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Michael J Thrippleton
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Paul A Armitage
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Susana Muñoz-Maniega
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Anna K Heye
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Eleni Sakka
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
| | - Martin S Dennis
- From the Centre for Clinical Brain Sciences (J.M.W., F.M.C., M.d.C.V.H., K.S., M.J.T., S.M.-M., A.K.H., E.S., M.S.D.), UK Dementia Research Institute at the University of Edinburgh (J.M.W.), Centre for Cognitive Aging and Cognitive Epidemiology (J.M.W., M.d.C.V.H., S.M.-M.), University of Edinburgh; Institute of Cardiovascular and Medical Sciences (S.D.J.M.), University of Glasgow, UK; Department of Neurology and Cardiovascular Research Institute Maastricht (J.S.), Maastricht University Medical Centre, the Netherlands; and Academic Unit of Radiology (P.A.A.), Department of Cardiovascular Science, University of Sheffield, UK
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Disease progression and regression in sporadic small vessel disease-insights from neuroimaging. Clin Sci (Lond) 2017; 131:1191-1206. [PMID: 28566448 DOI: 10.1042/cs20160384] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [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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Metric to quantify white matter damage on brain magnetic resonance images. Neuroradiology 2017; 59:951-962. [PMID: 28815362 PMCID: PMC5596039 DOI: 10.1007/s00234-017-1892-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 07/21/2017] [Indexed: 11/27/2022]
Abstract
Purpose Quantitative assessment of white matter hyperintensities (WMH) on structural Magnetic Resonance Imaging (MRI) is challenging. It is important to harmonise results from different software tools considering not only the volume but also the signal intensity. Here we propose and evaluate a metric of white matter (WM) damage that addresses this need. Methods We obtained WMH and normal-appearing white matter (NAWM) volumes from brain structural MRI from community dwelling older individuals and stroke patients enrolled in three different studies, using two automatic methods followed by manual editing by two to four observers blind to each other. We calculated the average intensity values on brain structural fluid-attenuation inversion recovery (FLAIR) MRI for the NAWM and WMH. The white matter damage metric is calculated as the proportion of WMH in brain tissue weighted by the relative image contrast of the WMH-to-NAWM. The new metric was evaluated using tissue microstructure parameters and visual ratings of small vessel disease burden and WMH: Fazekas score for WMH burden and Prins scale for WMH change. Results The correlation between the WM damage metric and the visual rating scores (Spearman ρ > =0.74, p < 0.0001) was slightly stronger than between the latter and WMH volumes (Spearman ρ > =0.72, p < 0.0001). The repeatability of the WM damage metric was better than WM volume (average median difference between measurements 3.26% (IQR 2.76%) and 5.88% (IQR 5.32%) respectively). The follow-up WM damage was highly related to total Prins score even when adjusted for baseline WM damage (ANCOVA, p < 0.0001), which was not always the case for WMH volume, as total Prins was highly associated with the change in the intense WMH volume (p = 0.0079, increase of 4.42 ml per unit change in total Prins, 95%CI [1.17 7.67]), but not with the change in less-intense, subtle WMH, which determined the volumetric change. Conclusion The new metric is practical and simple to calculate. It is robust to variations in image processing methods and scanning protocols, and sensitive to subtle and severe white matter damage. Electronic supplementary material The online version of this article (doi:10.1007/s00234-017-1892-1) contains supplementary material, which is available to authorized users.
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Dunet V, Deverdun J, Charroud C, Le Bars E, Molino F, Menjot de Champfleur S, Maury F, Charif M, Ayrignac X, Labauge P, Castelnovo G, Pinna F, Bonafe A, Geny C, Menjot de Champfleur N. MRI volumetric morphometry in vascular parkinsonism. J Neurol 2017; 264:1511-1519. [PMID: 28669119 DOI: 10.1007/s00415-017-8561-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 06/27/2017] [Accepted: 06/27/2017] [Indexed: 12/01/2022]
Abstract
Vascular parkinsonism is a difficult clinical differential diagnosis in elderly subjects. We aimed at identifying morphometric markers in the brain of elderly patients with vascular parkinsonism (VP) compared with age-matched patients with Parkinson's disease (PD) and healthy controls. In this multicenter prospective study, 46 patients (80 ± 5 years old; male 32) with parkinsonism (32 PD and 14 VP) and 29 controls (mean age 78 ± 3 years; male 21) underwent brain MRI on a 3-T scanner including T1 MPRAGE and FLAIR sequences. Volumetric morphometry was obtained using Morphobox software and compared between patients and controls. Receiver operating characteristics curve analysis with computation of area under the curve (AUC) was used to compare diagnostic values. Caudate nucleus and white matter hyperintense lesions (WMHL) volumes appeared significantly higher in patients with VP. Normalized caudate volume of at least 0.67% and normalized WMHL of at least 1.11% identified patients with VP from patients with PD and controls with similar performances (p > 0.25). Caudate nucleus and WMHL volumes were positively correlated (ρ = 0.74, p < 0.0001), suggesting vascular disease related remodelling in elderly subjects. Caudate nucleus and WMHL MRI volumes might be used as additional markers to help identify patients with VP in the initial workup of elderly subjects with parkinsonian symptoms.
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Affiliation(s)
- Vincent Dunet
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France. .,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France. .,Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
| | - Jeremy Deverdun
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Laboratoire Charles Coulomb, CNRS, UMR 5221, Montpellier University, Montpellier, France.,Intrasense, Montpellier, France
| | - Celine Charroud
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Neuropsychiatry: Epidemiological and Clinical Research, INSERM U1061-Montpellier University, La Colombiere Hospital, Montpellier, France.,INSERM U1198-Montpellier University, Montpellier, France
| | - Emmanuelle Le Bars
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France
| | - Francois Molino
- Laboratoire Charles Coulomb, CNRS, UMR 5221, Montpellier University, Montpellier, France.,Institut de Genomique Fonctionnelle, UMNR 5203-INSERM U661-Montpellier University, Montpellier, France
| | | | - Florence Maury
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Mahmoud Charif
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Xavier Ayrignac
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Pierre Labauge
- Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | | | - Frederic Pinna
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Department of Neurology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Alain Bonafe
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France
| | - Christian Geny
- Clinique du Parc, Service d'imagerie, Castenau-le-Lez, France.,EuroMov, 700 Avenue du Pic Saint Loup, 34090, Montpellier, France.,Movement to Health (M2H), Montpellier University, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Department of Neuroradiology, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.,I2FH, Institut d'Imagerie Fonctionnelle Humaine, Hôpital Gui de Chauliac, CHRU de Montpellier, Montpellier, France.,Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", U1051, Institut of Neurosciences of Montpellier, Saint Eloi Hospital, Montpellier, France.,Department of Medical Imaging, Caremeau University Hospital Center, Nimes, France
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Lane CA, Parker TD, Cash DM, Macpherson K, Donnachie E, Murray-Smith H, Barnes A, Barker S, Beasley DG, Bras J, Brown D, Burgos N, Byford M, Jorge Cardoso M, Carvalho A, Collins J, De Vita E, Dickson JC, Epie N, Espak M, Henley SMD, Hoskote C, Hutel M, Klimova J, Malone IB, Markiewicz P, Melbourne A, Modat M, Schrag A, Shah S, Sharma N, Sudre CH, Thomas DL, Wong A, Zhang H, Hardy J, Zetterberg H, Ourselin S, Crutch SJ, Kuh D, Richards M, Fox NC, Schott JM. Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development. BMC Neurol 2017; 17:75. [PMID: 28420323 PMCID: PMC5395844 DOI: 10.1186/s12883-017-0846-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 03/21/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Increasing age is the biggest risk factor for dementia, of which Alzheimer's disease is the commonest cause. The pathological changes underpinning Alzheimer's disease are thought to develop at least a decade prior to the onset of symptoms. Molecular positron emission tomography and multi-modal magnetic resonance imaging allow key pathological processes underpinning cognitive impairment - including β-amyloid depostion, vascular disease, network breakdown and atrophy - to be assessed repeatedly and non-invasively. This enables potential determinants of dementia to be delineated earlier, and therefore opens a pre-symptomatic window where intervention may prevent the onset of cognitive symptoms. METHODS/DESIGN This paper outlines the clinical, cognitive and imaging protocol of "Insight 46", a neuroscience sub-study of the MRC National Survey of Health and Development. This is one of the oldest British birth cohort studies and has followed 5362 individuals since their birth in England, Scotland and Wales during one week in March 1946. These individuals have been tracked in 24 waves of data collection incorporating a wide range of health and functional measures, including repeat measures of cognitive function. Now aged 71 years, a small fraction have overt dementia, but estimates suggest that ~1/3 of individuals in this age group may be in the preclinical stages of Alzheimer's disease. Insight 46 is recruiting 500 study members selected at random from those who attended a clinical visit at 60-64 years and on whom relevant lifecourse data are available. We describe the sub-study design and protocol which involves a prospective two time-point (0, 24 month) data collection covering clinical, neuropsychological, β-amyloid positron emission tomography and magnetic resonance imaging, biomarker and genetic information. Data collection started in 2015 (age 69) and aims to be completed in 2019 (age 73). DISCUSSION Through the integration of data on the socioeconomic environment and on physical, psychological and cognitive function from 0 to 69 years, coupled with genetics, structural and molecular imaging, and intensive cognitive and neurological phenotyping, Insight 46 aims to identify lifetime factors which influence brain health and cognitive ageing, with particular focus on Alzheimer's disease and cerebrovascular disease. This will provide an evidence base for the rational design of disease-modifying trials.
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Affiliation(s)
- Christopher A. Lane
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Thomas D. Parker
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Dave M. Cash
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Kirsty Macpherson
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Elizabeth Donnachie
- Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK
| | - Heidi Murray-Smith
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Suzie Barker
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Daniel G. Beasley
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Jose Bras
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
- Department of Medical Sciences and Institute of Biomedicine - iBiMED, University of Aveiro, Aveiro, Portugal
| | - David Brown
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Ninon Burgos
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | | | - M. Jorge Cardoso
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Ana Carvalho
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Jessica Collins
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Enrico De Vita
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - John C. Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Norah Epie
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Miklos Espak
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Susie M. D. Henley
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Chandrashekar Hoskote
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Michael Hutel
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Jana Klimova
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Ian B. Malone
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Pawel Markiewicz
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Andrew Melbourne
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Marc Modat
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Anette Schrag
- Department of Clinical Neuroscience, Institute of Neurology, University College London, London, UK
| | - Sachit Shah
- Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Nikhil Sharma
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
- National Hospital for Neurology and Neurosurgery, London, UK
| | - Carole H. Sudre
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - David L. Thomas
- Leonard Wolfson Experimental Neurology Centre, Institute of Neurology, University College London, London, UK
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - John Hardy
- Reta Lila Weston Research Laboratories, Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Sebastian J. Crutch
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Diana Kuh
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | | | - Nick C. Fox
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Jonathan M. Schott
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
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Longitudinal segmentation of age-related white matter hyperintensities. Med Image Anal 2017; 38:50-64. [PMID: 28282640 DOI: 10.1016/j.media.2017.02.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 02/13/2017] [Accepted: 02/15/2017] [Indexed: 01/18/2023]
Abstract
Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created allowing for the comparison between the longitudinal and the cross-sectional version in various situations of lesion load progression. Finally, applied to clinical data, the proposed framework demonstrates an increased robustness compared to available cross-sectional methods and findings are aligned with previously reported clinical patterns.
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60
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Fiford CM, Manning EN, Bartlett JW, Cash DM, Malone IB, Ridgway GR, Lehmann M, Leung KK, Sudre CH, Ourselin S, Biessels GJ, Carmichael OT, Fox NC, Cardoso MJ, Barnes J. White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus 2017; 27:249-262. [PMID: 27933676 PMCID: PMC5324634 DOI: 10.1002/hipo.22690] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 11/30/2016] [Indexed: 01/18/2023]
Abstract
This study investigates relationships between white matter hyperintensity (WMH) volume, cerebrospinal fluid (CSF) Alzheimer's disease (AD) pathology markers, and brain and hippocampal volume loss. Subjects included 198 controls, 345 mild cognitive impairment (MCI), and 154 AD subjects with serial volumetric 1.5‐T MRI. CSF Aβ42 and total tau were measured (n = 353). Brain and hippocampal loss were quantified from serial MRI using the boundary shift integral (BSI). Multiple linear regression models assessed the relationships between WMHs and hippocampal and brain atrophy rates. Models were refitted adjusting for (a) concurrent brain/hippocampal atrophy rates and (b) CSF Aβ42 and tau in subjects with CSF data. WMH burden was positively associated with hippocampal atrophy rate in controls (P = 0.002) and MCI subjects (P = 0.03), and with brain atrophy rate in controls (P = 0.03). The associations with hippocampal atrophy rate remained following adjustment for concurrent brain atrophy rate in controls and MCIs, and for CSF biomarkers in controls (P = 0.007). These novel results suggest that vascular damage alongside AD pathology is associated with disproportionately greater hippocampal atrophy in nondemented older adults. © 2016 The Authors Hippocampus Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Cassidy M Fiford
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Emily N Manning
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | | | - David M Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom.,Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Ian B Malone
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Gerard R Ridgway
- Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, United Kingdom.,Wellcome Trust Centre for Neuroimaging, London, United Kingdom
| | - Manja Lehmann
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Kelvin K Leung
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Carole H Sudre
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom.,Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Sebastien Ourselin
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom.,Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus University Medical Center Utrecht, The Netherlands
| | | | - Nick C Fox
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - M Jorge Cardoso
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom.,Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Josephine Barnes
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
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Park M, Moon WJ. Structural MR Imaging in the Diagnosis of Alzheimer's Disease and Other Neurodegenerative Dementia: Current Imaging Approach and Future Perspectives. Korean J Radiol 2016; 17:827-845. [PMID: 27833399 PMCID: PMC5102911 DOI: 10.3348/kjr.2016.17.6.827] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 06/26/2016] [Indexed: 11/29/2022] Open
Abstract
With the rise of aging population, clinical concern and research attention has shifted towards neuroimaging of dementia. The advent of 3T, magnetic resonance imaging (MRI) has permitted the anatomical imaging of neurodegenerative disease, specifically dementia, with improved resolution. Furthermore, more powerful techniques such as diffusion tensor imaging, quantitative susceptibility mapping, and magnetic transfer imaging have successfully emerged for the detection of micro-structural abnormalities. In the present review article, we provide a brief overview of Alzheimer's disease and explore recent neuroimaging developments in the field of dementia with an emphasis on structural MR imaging in order to propose a simple and easily applicable systematic approach to the imaging diagnosis of dementia.
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Affiliation(s)
- Mina Park
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea
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62
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Duan D, Shen L, Li C, Cui C, Shu T, Zheng J. Memory impairment in occipital periventricular hyperintensity patients is associated with reduced functional responses in the insula and Heschl's gyrus. Int J Neurosci 2016; 127:493-500. [PMID: 27323873 DOI: 10.1080/00207454.2016.1198345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVES The aim of this study was to investigate the cognitive impairments of occipital periventricular hyperintensity (OPVH) patients and their brain-wide functional alterations in large scale. METHODS The Mini-Mental State Examination (MMSE) was performed in 15 OPVH patients and 12 age-matched healthy controls to distinguish the cognitive impairment features of OPVH. Functional magnetic resonance imaging (fMRI) was applied with a delayed digital match memory task to identify the brain-wide functional alterations in OPVH patients. RESULTS The two groups were not statistically different in terms of demographic or cardiovascular risk factors. The OPVH group had significantly lower scores in global cognitive abilities, immediate memory and delayed memory as determined by the MMSE (p < 0.05). The fMRI results demonstrated that the insula, precentral gyrus and Heschl's gyrus of the OPVH group had decreased activation compared to the control group (p < 0.005, uncorrected). Multivariate analysis also showed that OPVH was negatively correlated with reduced activation in the insula, precentral gyrus and Heschl's gyrus (p < 0.005). CONCLUSION OPVH affects the immediate and delayed memory. These changes are accompanied with decreased functional responses in the insula and Heschl's gyrus.
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Affiliation(s)
- Dazhi Duan
- a Department of Neurology, Xinqiao Hospital , Third Military Medical University , Chongqing , China
| | - Lin Shen
- a Department of Neurology, Xinqiao Hospital , Third Military Medical University , Chongqing , China
| | - Congyang Li
- b Department of Neurology , Chengdu Military General Hospital , Chengdu , China
| | - Chun Cui
- c Department of Radiology, Xinqiao Hospital , Third Military Medical University , Chongqing , China
| | - Tongsheng Shu
- c Department of Radiology, Xinqiao Hospital , Third Military Medical University , Chongqing , China
| | - Jian Zheng
- a Department of Neurology, Xinqiao Hospital , Third Military Medical University , Chongqing , China
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van Overbeek EC, Staals J, Knottnerus ILH, ten Cate H, van Oostenbrugge RJ. Plasma tPA-Activity and Progression of Cerebral White Matter Hyperintensities in Lacunar Stroke Patients. PLoS One 2016; 11:e0150740. [PMID: 26942412 PMCID: PMC4778794 DOI: 10.1371/journal.pone.0150740] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 02/18/2016] [Indexed: 11/18/2022] Open
Abstract
Introduction Tissue plasminogen activator (tPA)-activity and plasminogen activator inhibitor type 1 (PAI-1) antigen are considered to be haemostasis-related markers of endothelial activation and relate to presence of cerebral white matter hyperintensities (WMH) as was earlier shown in a cross-sectional study. We investigated whether tPA-activity and PAI-1 levels are associated with WMH progression in a longitudinal study. Methods In 127 first-ever lacunar stroke patients in whom baseline brain MRI and plasma levels of tPA-activity and PAI-1-antigen were available, we obtained a 2-year follow-up MRI. We assessed WMH progression by a visual WMH change scale. We determined the relationship between levels of tPA-activity and PAI-1 and WMH progression, by logistic regression analysis. Results Plasma tPA-activity was associated with periventricular WMH progression (OR 2.36, 95% CI 1.01–5.49, with correction for age and sex and baseline presence of WMH), but not with deep or any (periventricular and/or deep) WMH progression. PAI-1 levels were lower in patients with WMH progression, but these results were not significant. Conclusion We found a relationship between plasma tPA-activity and progression of periventricular WMH. More research is needed to determine whether there is a (direct) role of tPA in the development and progression of WMH.
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Affiliation(s)
- Ellen C. van Overbeek
- Department of Neurology, Maastricht University Medical Centre (MUMC), Maastricht, the Netherlands
- * E-mail:
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Centre (MUMC), Maastricht, the Netherlands
- Cardiovascular Research Institute Maastricht, MUMC, Maastricht, the Netherlands
| | | | - Hugo ten Cate
- Cardiovascular Research Institute Maastricht, MUMC, Maastricht, the Netherlands
- Department of Internal Medicine, MUMC, Maastricht, the Netherlands
| | - Robert J. van Oostenbrugge
- Department of Neurology, Maastricht University Medical Centre (MUMC), Maastricht, the Netherlands
- Cardiovascular Research Institute Maastricht, MUMC, Maastricht, the Netherlands
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Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review. Neuroinformatics 2016; 13:261-76. [PMID: 25649877 PMCID: PMC4468799 DOI: 10.1007/s12021-015-9260-y] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly subjects and patients with several neurological and vascular disorders. A truly reliable and fully automated method for quantitative assessment of WMH on magnetic resonance imaging (MRI) has not yet been identified. In this paper, we review and compare the large number of automated approaches proposed for segmentation of WMH in the elderly and in patients with vascular risk factors. We conclude that, in order to avoid artifacts and exclude the several sources of bias that may influence the analysis, an optimal method should comprise a careful preprocessing of the images, be based on multimodal, complementary data, take into account spatial information about the lesions and correct for false positives. All these features should not exclude computational leanness and adaptability to available data.
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65
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Lee HJ, Hung SC, Hsu TR, Ko SC, Chui-Mei T, Huang CC, Niu DM, Lin CP. Brain MR Imaging Findings of Cardiac-Type Fabry Disease with an IVS4+919G>A Mutation. AJNR Am J Neuroradiol 2016; 37:1044-9. [PMID: 26869469 DOI: 10.3174/ajnr.a4677] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 11/29/2015] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE A high incidence of cardiac-type Fabry disease with an α-galactosidase A mutation, IVS4 + 919 G>A, has been identified in the Taiwanese population. The neurologic manifestation has not been understood in this specific cardiac variant. This study aimed to investigate the typical imaging features of classic Fabry disease in patients with IVS4 Fabry disease. MATERIALS AND METHODS Twenty-six patients with IVS4-type Fabry disease (20 men and 6 women; age range, 43-71 years; median age, 61 years) and 26 age- and sex-matched healthy controls (age range, 44-68 years; median age, 60 years) were analyzed for white matter hyperintensities, the pulvinar sign, and basilar artery diameter. The volumes of white matter hyperintensities were calculated by comparison with an in-house data base of 276 controls. RESULTS Infarctions were found in 9 patients with IVS4 Fabry disease (35%) and in none of the healthy controls (P = .001). A pulvinar sign was found in 8 patients with IVS4 Fabry disease (30%) and in none of the healthy controls (P = .002). No significant difference was found in Fazekas scale scores for white matter hyperintensities; however, white matter hyperintensity volume in the deep white matter was higher in patients with IVS4 Fabry disease than in those from the healthy control data base (P = .004). CONCLUSIONS Along with its involvement of the cardiac system, IVS4-type Fabry disease has features similar to those of classic Fabry disease and a higher frequency of deep white matter hyperintensities and a higher incidence of infarctions and pulvinar signs than in healthy controls.
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Affiliation(s)
- H-J Lee
- From the Departments of Radiology (H.-J.L., S.-C.H., T.C.-M.) School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.)
| | - S-C Hung
- From the Departments of Radiology (H.-J.L., S.-C.H., T.C.-M.) School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.) Department of Biomedical Imaging and Radiological Sciences (S.-C.H., C.-C.H., C.-P.L.), National Yang-Ming University, Taipei, Taiwan
| | - T-R Hsu
- Pediatrics (T.-R.H., D.-M.N.) School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.)
| | - S-C Ko
- Taiwan Health-Tech Imaging Center (S.-C.K.), Taipei Veterans General Hospital, Taipei, Taiwan School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.)
| | - T Chui-Mei
- From the Departments of Radiology (H.-J.L., S.-C.H., T.C.-M.) School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.)
| | - C-C Huang
- School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.) Department of Biomedical Imaging and Radiological Sciences (S.-C.H., C.-C.H., C.-P.L.), National Yang-Ming University, Taipei, Taiwan
| | - D-M Niu
- Pediatrics (T.-R.H., D.-M.N.) School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.)
| | - C-P Lin
- School of Medicine (H.-J.L., S.-C.H., T.-R.H., S.-C.K., T.C.-M., C.-C.H., D.-M.N., C.-P.L.) Department of Biomedical Imaging and Radiological Sciences (S.-C.H., C.-C.H., C.-P.L.), National Yang-Ming University, Taipei, Taiwan.
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Conforti R, de Cristofaro M, Cristofano A, Brogna B, Sardaro A, Tedeschi G, Cirillo S, Di Costanzo A. Brain MRI abnormalities in the adult form of myotonic dystrophy type 1: A longitudinal case series study. Neuroradiol J 2016; 29:36-45. [PMID: 26755488 DOI: 10.1177/1971400915621325] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
This study aimed to verify whether brain abnormalities, previously described in patients with myotonic dystrophy type 1 (DM1) by magnetic resonance imaging (MRI), progressed over time and, if so, to characterize their progression. Thirteen DM1 patients, who had at least two MRI examinations, were retrospectively evaluated and included in the study. The mean duration (± standard deviation) of follow-up was 13.4 (±3.8) years, over a range of 7-20 years. White matter lesions (WMLs) were rated by semi-quantitative method, the signal intensity of white matter poster-superior to trigones (WMPST) by reference to standard images and brain atrophy by ventricular/brain ratio (VBR). At the end of MRI follow-up, the scores relative to lobar, temporal and periventricular WMLs, to WMPST signal intensity and to VBR were significantly increased compared to baseline, and MRI changes were more evident in some families than in others. No correlation was found between the MRI changes and age, onset, disease duration, muscular involvement, CTG repetition and follow-up duration. These results demonstrated that white matter involvement and brain atrophy were progressive in DM1 and suggested that progression rate varied from patient to patient, regardless of age, disease duration and genetic defect.
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Affiliation(s)
- Renata Conforti
- Institute for Diagnosis and Care "Hermitage Capodimonte", Italy; Department of Clinical and Experimental Medicine, Second University of Naples, Italy
| | | | - Adriana Cristofano
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Italy
| | - Barbara Brogna
- Institute for Diagnosis and Care "Hermitage Capodimonte", Italy; Department of Clinical and Experimental Medicine, Second University of Naples, Italy
| | - Angela Sardaro
- Institute for Diagnosis and Care "Hermitage Capodimonte", Italy; Department of Clinical and Experimental Medicine, Second University of Naples, Italy
| | | | - Sossio Cirillo
- Institute for Diagnosis and Care "Hermitage Capodimonte", Italy; Department of Clinical and Experimental Medicine, Second University of Naples, Italy
| | - Alfonso Di Costanzo
- Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, Italy
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Abstract
This chapter focuses on one of the most common types of neurologic disorders: altered walking. Walking impairment often reflects disease of the neurologic structures mediating gait, balance or, most often, both. These structures are distributed along the neuraxis. For this reason, this chapter is introduced by a brief description of the neurobiologic underpinning of walking, stressing information that is critical for imaging, namely, the anatomic representation of gait and balance mechanisms. This background is essential not only in order to direct the relevant imaging tools to the regions more likely to be affected but also to interpret correctly imaging findings that may not be related to the walking deficit object of clinical study. The chapter closes with a discussion on how to image some of the most frequent etiologies causing gait or balance impairment. However, it focuses on syndromes not already discussed in other chapters of this volume, such as Parkinson's disease and other movement disorders, already discussed in Chapter 48, or cerebellar ataxia, in Chapter 23, in the previous volume. As regards vascular disease, the spastic hemiplegia most characteristic of brain disease needs little discussion, while the less well-understood effects of microvascular disease are extensively reviewed here, together with the imaging approach.
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Affiliation(s)
- Joseph C Masdeu
- Department of Neurology, Houston Methodist Hospital, Houston, TX, USA.
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68
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Population imaging in neuroepidemiology. Neuroepidemiology 2016. [DOI: 10.1016/b978-0-12-802973-2.00005-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] Open
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Schmidt R, Seiler S, Loitfelder M. Longitudinal change of small-vessel disease-related brain abnormalities. J Cereb Blood Flow Metab 2016; 36:26-39. [PMID: 25899293 PMCID: PMC4758559 DOI: 10.1038/jcbfm.2015.72] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 03/16/2015] [Indexed: 12/31/2022]
Abstract
Knowledge about the longitudinal change of cerebral small-vessel disease–related magnetic resonance imaging abnormalities increases our pathophysiologic understanding of cerebral microangiopathy. The change of specific lesion types may also serve as secondary surrogate endpoint in clinical trials. A surrogate endpoint needs to progress fast enough to allow monitoring of treatment effects within a reasonable time period, and change of the brain abnormality needs to be correlated with clinical change. Confluent white matter lesions show fast progression and correlations with cognitive decline. Thus, the change of confluent white matter lesions may be used as a surrogate marker in proof-of-concept trials with small patient numbers needed to show treatment effects on lesion progression. Nonetheless if the expected change in cognitive performance resulting from treatment effects on lesion progression is used as outcome, the sample size needed to show small to moderate treatment effects becomes very large. Lacunes may also fulfill the prerequisites of a surrogate marker, but in the general population the incidence of lacunes over short observational periods is small. For other small-vessel disease–related brain abnormalities including microbleeds and microstructural changes in normal-appearing white matter longitudinal change and correlations with clinical decline is not yet fully determined.
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Affiliation(s)
- Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stephan Seiler
- Department of Neurology, Medical University of Graz, Graz, Austria
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Valdés Hernández MDC, Armitage PA, Thrippleton MJ, Chappell F, Sandeman E, Muñoz Maniega S, Shuler K, Wardlaw JM. Rationale, design and methodology of the image analysis protocol for studies of patients with cerebral small vessel disease and mild stroke. Brain Behav 2015; 5:e00415. [PMID: 26807340 PMCID: PMC4714639 DOI: 10.1002/brb3.415] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 10/16/2015] [Indexed: 01/25/2023] Open
Abstract
RATIONALE Cerebral small vessel disease (SVD) is common in ageing and patients with dementia and stroke. Its manifestations on magnetic resonance imaging (MRI) include white matter hyperintensities, lacunes, microbleeds, perivascular spaces, small subcortical infarcts, and brain atrophy. Many studies focus only on one of these manifestations. A protocol for the differential assessment of all these features is, therefore, needed. AIMS To identify ways of quantifying imaging markers in research of patients with SVD and operationalize the recommendations from the STandards for ReportIng Vascular changes on nEuroimaging guidelines. Here, we report the rationale, design, and methodology of a brain image analysis protocol based on our experience from observational longitudinal studies of patients with nondisabling stroke. DESIGN The MRI analysis protocol is designed to provide quantitative and qualitative measures of disease evolution including: acute and old stroke lesions, lacunes, tissue loss due to stroke, perivascular spaces, microbleeds, macrohemorrhages, iron deposition in basal ganglia, substantia nigra and brain stem, brain atrophy, and white matter hyperintensities, with the latter separated into intense and less intense. Quantitative measures of tissue integrity such as diffusion fractional anisotropy, mean diffusivity, and the longitudinal relaxation time are assessed in regions of interest manually placed in anatomically and functionally relevant locations, and in others derived from feature extraction pipelines and tissue segmentation methods. Morphological changes that relate to cognitive deficits after stroke, analyzed through shape models of subcortical structures, complete the multiparametric image analysis protocol. OUTCOMES Final outcomes include guidance for identifying ways to minimize bias and confounds in the assessment of SVD and stroke imaging biomarkers. It is intended that this information will inform the design of studies to examine the underlying pathophysiology of SVD and stroke, and to provide reliable, quantitative outcomes in trials of new therapies and preventative strategies.
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Affiliation(s)
| | - Paul A Armitage
- Department of Cardiovascular Sciences University of Sheffield Sheffield UK
| | - Michael J Thrippleton
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Francesca Chappell
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Elaine Sandeman
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Susana Muñoz Maniega
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Kirsten Shuler
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
| | - Joanna M Wardlaw
- Department of Neuroimaging Sciences Centre for Clinical Brain Sciences University of Edinburgh Edinburgh UK
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Adams HHH, Hilal S, Schwingenschuh P, Wittfeld K, van der Lee SJ, DeCarli C, Vernooij MW, Katschnig-Winter P, Habes M, Chen C, Seshadri S, van Duijn CM, Ikram MK, Grabe HJ, Schmidt R, Ikram MA. A priori collaboration in population imaging: The Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2015; 1:513-20. [PMID: 27239529 PMCID: PMC4879491 DOI: 10.1016/j.dadm.2015.10.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Introduction Virchow-Robin spaces (VRS), or perivascular spaces, are compartments of interstitial fluid enclosing cerebral blood vessels and are potential imaging markers of various underlying brain pathologies. Despite a growing interest in the study of enlarged VRS, the heterogeneity in rating and quantification methods combined with small sample sizes have so far hampered advancement in the field. Methods The Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement (UNIVRSE) consortium was established with primary aims to harmonize rating and analysis (www.uconsortium.org). The UNIVRSE consortium brings together 13 (sub)cohorts from five countries, totaling 16,000 subjects and over 25,000 scans. Eight different magnetic resonance imaging protocols were used in the consortium. Results VRS rating was harmonized using a validated protocol that was developed by the two founding members, with high reliability independent of scanner type, rater experience, or concomitant brain pathology. Initial analyses revealed risk factors for enlarged VRS including increased age, sex, high blood pressure, brain infarcts, and white matter lesions, but this varied by brain region. Discussion Early collaborative efforts between cohort studies with respect to data harmonization and joint analyses can advance the field of population (neuro)imaging. The UNIVRSE consortium will focus efforts on other potential correlates of enlarged VRS, including genetics, cognition, stroke, and dementia.
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Affiliation(s)
- Hieab H H Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Saima Hilal
- Department of Ophthalmology, National University of Singapore, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore
| | | | - Katharina Wittfeld
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/ Greifswald, Greifswald, Germany
| | - Sven J van der Lee
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Charles DeCarli
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Mohamad Habes
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Chen
- Memory Aging and Cognition Center, National University Health System, Singapore
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Framingham Heart Study, Framingham, MA, USA
| | - Cornelia M van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - M Kamran Ikram
- Department of Ophthalmology, National University of Singapore, Singapore; Memory Aging and Cognition Center, National University Health System, Singapore
| | - Hans J Grabe
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/ Greifswald, Greifswald, Germany; Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands; Department of Radiology, Erasmus MC, Rotterdam, The Netherlands; Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
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Fellgiebel A, Gartenschläger M, Wildberger K, Scheurich A, Desnick RJ, Sims K. Enzyme replacement therapy stabilized white matter lesion progression in Fabry disease. Cerebrovasc Dis 2015; 38:448-56. [PMID: 25502511 DOI: 10.1159/000369293] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Accepted: 10/21/2014] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The central nervous system manifestations in Fabry disease (FD) include progressive white matter lesions (WMLs) and stroke. Due to progressive microvascular involvement, men and women with FD over 35 years of age develop WMLs. Moreover, the prevalence of stroke has been estimated to be 12 times higher in FD compared with the general population. Enzyme replacement therapy (ERT) is available and has shown beneficial effects on renal, cardiac, and peripheral nerve function in FD, but the ERT effect on the progression of WMLs, or the reduction in cerebrovascular events, remains unknown. METHODS The WML burden and the effect of agalsidase beta 1 mg/kg biweekly on WML progression were assessed longitudinally in a Phase 4 agalsidase-beta placebo-controlled analysis of untreated and treated FD patients with mild-to-moderate renal involvement (serum creatinine measurements of ≥1.2 mg/dl and <3.0 mg/dl). The primary end point was the difference in the number of patients with increased WML burden between the agalsidase beta and placebo groups at the end of treatment. The diameters of the WMLs were determined manually using axial flow-attenuated-inversion-recovery-weighted magnetic resonance imaging (MRI) scans taken at baseline and follow-up. RESULTS MRI scans from 41 FD patients (mean age 43.9, age range 20-68, 3 females; n=25 on ERT, n=16 on placebo) were analyzed. WML burden was present in 63% of patients at baseline, increased over a mean of 27 months (range 12-33 months) follow-up, and correlated with left ventricular hypertrophy (LVPW). Patients with previous or recent strokes (n=11, 39-68 years) showed an increase in the number of WMLs (p=0.005). A greater proportion of younger patients (≤50 years) on ERT (n=18) had stable WML burden compared with younger patients in the placebo group (n=13): 44% (8 of 18) versus 31% (4 of 13), p=0.014. The number needed to treat was 8. CONCLUSIONS This FD patient cohort, with mild-to-moderate renal involvement, had a significant WML burden and high inter-individual variability associated with the degree of LVPW but not the degree of kidney dysfunction. These advanced patients with increased LVPW and stroke evidence may have had a higher cerebrovascular risk. The WML burden in patients on ERT was more likely to remain stable, compared with patients on placebo. Thus, ERT may reduce the progression of vascular disease, even in advanced FD patients, suggesting that early treatment may stabilize WML progression and stroke risk.
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Affiliation(s)
- Andreas Fellgiebel
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany
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73
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Loos CMJ, Klarenbeek P, van Oostenbrugge RJ, Staals J. Association between Perivascular Spaces and Progression of White Matter Hyperintensities in Lacunar Stroke Patients. PLoS One 2015; 10:e0137323. [PMID: 26352265 PMCID: PMC4564273 DOI: 10.1371/journal.pone.0137323] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 08/16/2015] [Indexed: 12/11/2022] Open
Abstract
Objectives Perivascular spaces are associated with MRI markers of cerebral small vessel disease, including white matter hyperintensities. Although perivascular spaces are considered to be an early MRI marker of cerebral small vessel disease, it is unknown whether they are associated with further progression of MRI markers, especially white matter hyperintensities. We determined the association between perivascular spaces and progression of white matter hyperintensities after 2-year follow-up in lacunar stroke patients. Methods In 118 lacunar stroke patients we obtained brain MRI and 24-hour ambulatory blood pressure measurements at baseline, and a follow-up brain MRI 2 years later. We visually graded perivascular spaces and white matter hyperintensities at baseline. Progression of white matter hyperintensities was assessed using a visual white matter hyperintensity change scale. Associations with white matter hyperintensity progression were tested with binary logistic regression analysis. Results Extensive basal ganglia perivascular spaces were associated with progression of white matter hyperintensities (OR 4.29; 95% CI: 1.28–14.32; p<0.05), after adjustment for age, gender, 24-hour blood pressure and vascular risk factors. This association lost significance after additional adjustment for baseline white matter hyperintensities. Centrum semiovale perivascular spaces were not associated with progression of white matter hyperintensities. Conclusions Our study shows that extensive basal ganglia perivascular spaces are associated with progression of white matter hyperintensities in cerebral small vessel disease. However, this association was not independent of baseline white matter hyperintensities. Therefore, presence of white matter hyperintensities at baseline remains an important determinant of further progression of white matter hyperintensities in cerebral small vessel disease.
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Affiliation(s)
- Caroline M. J. Loos
- Department of Neurology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, The Netherlands
- * E-mail:
| | - Pim Klarenbeek
- Department of Neurology, Zuyderland Hospital, Heerlen, The Netherlands
| | - Robert J. van Oostenbrugge
- Department of Neurology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, The Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Centre and Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, The Netherlands
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Del Bene A, Ciolli L, Borgheresi L, Poggesi A, Inzitari D, Pantoni L. Is type 2 diabetes related to leukoaraiosis? an updated review. Acta Neurol Scand 2015; 132:147-55. [PMID: 25772411 DOI: 10.1111/ane.12398] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2015] [Indexed: 02/04/2023]
Abstract
A significantly increased interest has been dedicated to the study of the effects of diabetes mellitus (DM) on the brain. DM is associated with an increased risk of stroke and cognitive decline. In patients with DM, neuroimaging discloses with high-frequency structural changes, such as cerebral atrophy, infarcts and white matter lesions, also called leukoaraiosis (LA), an expression of small vessel disease. A previous review showed a relation between DM and both cerebral atrophy and lacunar infarcts, while the question about the relation between DM and LA remained unanswered. In this review, we provide an update on data on this last association. In the reviewed studies, we examined the presence of DM, other disease characteristics, such as duration and complications, and laboratory markers of the disease such as blood glycated hemoglobin (HbA1c), insulin resistance, insulin concentrations and their association with LA. About 40% of the reviewed studies reported a statistically significant association between DM and LA. Long-standing DM and a poor glycemic control were associated with severe LA. Studies using innovative MRI techniques, such as diffusion tensor imaging (DTI), reported a significant association between microstructural white matter alterations and DM. This review highlights more firmly than previously reported the existence of a relation between DM and both presence and severity of LA. These results are possibly due to more sensitive and advanced imaging techniques recently used to study the extent of LA. However, because of the heterogeneous methodology used in the reviewed studies, a definitive conclusion cannot be drawn.
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Affiliation(s)
- A. Del Bene
- NEUROFARBA Department; Neuroscience Section; University of Florence; Florence Italy
| | - L. Ciolli
- NEUROFARBA Department; Neuroscience Section; University of Florence; Florence Italy
| | - L. Borgheresi
- NEUROFARBA Department; Neuroscience Section; University of Florence; Florence Italy
| | - A. Poggesi
- NEUROFARBA Department; Neuroscience Section; University of Florence; Florence Italy
| | - D. Inzitari
- NEUROFARBA Department; Neuroscience Section; University of Florence; Florence Italy
| | - L. Pantoni
- Stroke Unit and Neurology; Azienda Ospedaliero Universitaria Careggi; Florence Italy
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Wardlaw JM, Valdés Hernández MC, Muñoz-Maniega S. What are white matter hyperintensities made of? Relevance to vascular cognitive impairment. J Am Heart Assoc 2015; 4:001140. [PMID: 26104658 PMCID: PMC4599520 DOI: 10.1161/jaha.114.001140] [Citation(s) in RCA: 521] [Impact Index Per Article: 57.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Joanna M Wardlaw
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
| | - Maria C Valdés Hernández
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
| | - Susana Muñoz-Maniega
- Division of Neuroimaging Sciences and Brain Research Imaging Centre, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (J.M.W., M.C.V.H., S.M.M.)
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Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: an update. Nat Rev Neurol 2015; 11:157-65. [DOI: 10.1038/nrneurol.2015.10] [Citation(s) in RCA: 602] [Impact Index Per Article: 66.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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Bjerke M, Jonsson M, Nordlund A, Eckerström C, Blennow K, Zetterberg H, Pantoni L, Inzitari D, Schmidt R, Wallin A. Cerebrovascular Biomarker Profile Is Related to White Matter Disease and Ventricular Dilation in a LADIS Substudy. Dement Geriatr Cogn Dis Extra 2014; 4:385-94. [PMID: 25493088 PMCID: PMC4255994 DOI: 10.1159/000366119] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Small vessel disease (SVD) represents a common often progressive condition in elderly people contributing to cognitive disability. The relationship between cerebrospinal fluid (CSF) biomarkers and imaging correlates of SVD was investigated, and the findings were hypothesized to be associated with a neuropsychological profile of SVD. METHODS CSF SVD-related biomarkers [neurofilament light (NF-L), myelin basic protein (MBP), soluble amyloid precursor protein-β (sAPPβ), matrix metalloproteinases (MMPs), and tissue inhibitor of metalloproteinase (TIMP)] were analysed in 46 non-demented elderly with imaging findings of SVD. We assessed the relationship between the CSF biomarkers and white matter hyperintensity (WMH) volume, diffusion-weighted imaging and atrophy as well as their association with neuropsychological profiles. RESULTS The WMH volume correlated with ventricular dilation, which was associated with executive function and speed and attention. Increased WMH and ventricular dilation were related to increased CSF levels of TIMP-1, NF-L and MBP and to decreased sAPPβ. A positive correlation was found between the CSF biomarker MMP-9 and WMH progression. CONCLUSIONS The link between progressive WMH and MMP-9 suggests an involvement of the enzyme in white matter degeneration. CSF TIMP-1, NF-L, MBP and sAPPβ may function as biological markers of white matter damage.
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Affiliation(s)
- Maria Bjerke
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Michael Jonsson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Arto Nordlund
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Carl Eckerström
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- UCL Institute of Neurology, London, UK
| | - Leonardo Pantoni
- Department of Neurological and Psychiatric Sciences, University of Florence, Florence, Italy
| | - Domenico Inzitari
- Department of Neurological and Psychiatric Sciences, University of Florence, Florence, Italy
| | - Reinhold Schmidt
- Department of Clinical Neurogeriatrics, Medical University of Graz, Graz, Austria
| | - Anders Wallin
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
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Setting a gold standard for quantification of leukoaraiosis burden in patients with ischemic stroke: the Atherosclerosis Risk in Communities Study. J Neurosci Methods 2014; 221:196-201. [PMID: 24459720 DOI: 10.1016/j.jneumeth.2013.10.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BACKGROUND Accurate and reliable measurement of leukoaraiosis, or MR-detected white, matter hyper-intensity (WMH) burden in subjects with acute ischemic stroke (AIS) is important for, ongoing research studies and future models of risk and outcome prediction, but the presence of a, cerebral infarct may complicate measurement. We sought to assess accuracy of a volumetric method, designed to measure WMH in AIS subjects as compared to the previously validated protocol. NEW METHOD We randomly selected and equally sampled 120 brain scans from the Atherosclerosis, Risk in Communities (ARIC) MRI Study individuals within designated mild, moderate, and severe, tertiles of WMH volume (WMHV). T2 FLAIR axial images were analyzed using the AIS WMH volumetric, protocol and compared with the ARIC (gold standard) method. Pearson correlation coefficients, linear, concordance correlation coefficient, and Blant–Altman procedures were used to assess measurement, agreements between the two procedures. RESULTS Median WMHV determined by using the ARIC method was 7.8 cm3 (IQR 5.7–13.55) vs. 3.54 cm3, (IQR 2.1–7.2) using the AIS WMH method. There was good correlation between the two measurements, (r = 0.52, 0.67, and 0.9 for tertiles 1, 2, and 3 respectively) (p < 0.001). COMPARISON WITH EXISTING METHOD The AIS WMH protocol was specific for leukoaraiosis in ischemic, stroke, but it appeared to underestimate WMHV compared to the gold standard method. CONCLUSIONS Estimates of MR-detectable WMH burden using a volumetric protocol designed for, analysis of clinical scans correlate strongly with gold standard measurements. These findings will, facilitate future studies of WMH in normal aging and in patients with stroke and other cerebrovascular, disease.
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Bryan RN, Bilello M, Davatzikos C, Lazar RM, Murray A, Horowitz K, Lovato J, Miller ME, Williamson J, Launer LJ. Effect of diabetes on brain structure: the action to control cardiovascular risk in diabetes MR imaging baseline data. Radiology 2014; 272:210-6. [PMID: 24779562 PMCID: PMC4263658 DOI: 10.1148/radiol.14131494] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To investigate the association of characteristics of type 2 diabetes mellitus (duration and biochemical severity of diabetes) to brain structure measured on magnetic resonance (MR) images, specifically testing whether more severity in metrics of diabetes is inversely correlated with brain volumes and positively correlated with ischemic lesion volumes. MATERIALS AND METHODS This study protocol was approved by the institutional review board of each center and participants provided written informed consent. Baseline severity of diabetes was evaluated by testing fasting plasma glucose levels, hemoglobin A1c levels, and duration of diabetes. MR imaging was performed with fluid-attenuated inversion recovery, proton-density, T2-weighted, and T1-weighted sequences, which were postprocessed with an automated computer algorithm that classified brain tissue as gray or white matter and as normal or ischemic. Separate linear regression models adjusted for potential confounding factors were used to investigate the relationship of the diabetes measures to MR imaging outcomes in 614 participants (mean age, 62 years; mean duration of type 2 diabetes mellitus, 9.9 years). RESULTS The mean volumes of total gray matter (463.9 cm(3)) and total white matter (463.6 cm(3)) were similar. The mean volume of abnormal tissue was 2.5 cm(3), mostly in the white matter (81% white matter, 5% gray matter, 14% deep gray and white matter). Longer duration of diabetes and higher fasting plasma glucose level were associated with lower normal (β = -0.431 and -0.053, respectively; P < .01) and total gray matter volumes (β = -0.428 and -0.053, respectively; P < .01). Fasting plasma glucose was also inversely correlated with ischemic lesion volume (β = -0.006; P < .04). Hemoglobin A1c level was not associated with any MR imaging measure. CONCLUSION Longer duration of diabetes is associated with brain volume loss, particularly in the gray matter, possibly reflecting direct neurologic insult; biochemical measures of glycemia were less consistently related to MR imaging changes. Contrary to common clinical belief, in this sample of patients with type 2 diabetes mellitus, there was no association of diabetes characteristics with small vessel ischemic disease in the brain.
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Affiliation(s)
- R. Nick Bryan
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Michel Bilello
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Christos Davatzikos
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Ronald M. Lazar
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Anne Murray
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Karen Horowitz
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - James Lovato
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Michael E. Miller
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Jeff Williamson
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
| | - Lenore J. Launer
- From the Department of Radiology, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (R.N.B., M.B., C.D.); Department of Radiology, Columbia University, New York, NY (R.M.L.); Department of Radiology, Hennepin County Medical Center, Minneapolis, Minn (A.M.); Department of Radiology, Case Western Reserve University, Cleveland, Ohio (K.H.); Department of Radiology, Wake Forest University, Winston-Salem, NC (J.L., M.E.M., J.W.); and National Institute on Aging, Bethesda, Md (L.J.L.)
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Greenberg SM, Al-Shahi Salman R, Biessels GJ, van Buchem M, Cordonnier C, Lee JM, Montaner J, Schneider JA, Smith EE, Vernooij M, Werring DJ. Outcome markers for clinical trials in cerebral amyloid angiopathy. Lancet Neurol 2014; 13:419-28. [PMID: 24581702 PMCID: PMC4085787 DOI: 10.1016/s1474-4422(14)70003-1] [Citation(s) in RCA: 112] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Efforts are underway for early-phase trials of candidate treatments for cerebral amyloid angiopathy, an untreatable cause of haemorrhagic stroke and vascular cognitive impairment. A major barrier to these trials is the absence of consensus on measurement of treatment effectiveness. A range of potential outcome markers for cerebral amyloid angiopathy can be measured against the ideal criteria of being clinically meaningful, closely representative of biological progression, efficient for small or short trials, reliably measurable, and cost effective. In practice, outcomes tend either to have high clinical salience but low statistical efficiency, and thus more applicability for late-phase studies, or greater statistical efficiency but more limited clinical meaning. The most statistically efficient markers might be those that are potentially reversible with treatment, although their clinical significance remains unproven. Many of the candidate outcomes for cerebral amyloid angiopathy trials are probably applicable also to other small-vessel brain diseases.
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Affiliation(s)
- Steven M Greenberg
- Stroke Research Center, Massachusetts General Hospital, Boston, MA, USA.
| | - Rustam Al-Shahi Salman
- Division of Clinical Neurosciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Geert Jan Biessels
- Brain Centre Rudolf Magnus, University Medical Center of Utrecht, Utrecht, Netherlands
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Charlotte Cordonnier
- Department of Neurology, Universite Lille Nord de France EA 1046, Lille University Hospital, Lille, France
| | - Jin-Moo Lee
- Department of Neurology, Department of Radiology, and Department of Biomedical Engineering, Washington University School of Medicine, St Louis, MO, USA
| | - Joan Montaner
- Department of Neurology, Vall d'Hebron University Hospital and Research Institute, Autonomus University of Barcelona, Barcelona, Spain
| | - Julie A Schneider
- Department of Pathology and Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Meike Vernooij
- Department of Radiology and Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
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White matter disease as a biomarker for long-term cerebrovascular disease and dementia. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2014; 16:292. [PMID: 24496967 DOI: 10.1007/s11936-013-0292-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OPINION STATEMENT White matter disease is commonly detected on brain MRI of aging individuals as white matter hyperintensities (WMH), or 'leukoaraiosis." Over the years, it has become increasingly clear that the presence and extent of WMH is a radiographic marker of small cerebral vessel disease and an important predictor of the lifelong risk of stroke, cognitive impairment, and functional disability. A number of large population-based studies have outlined the significance of WMH as a biomarker for long-term cerebrovascular disease and dementia. In this review, we describe the conceptual framework and methodology that support this association and link the existing knowledge to future lines of investigation in the field.
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Iorio M, Spalletta G, Chiapponi C, Luccichenti G, Cacciari C, Orfei MD, Caltagirone C, Piras F. White matter hyperintensities segmentation: a new semi-automated method. Front Aging Neurosci 2013; 5:76. [PMID: 24339815 PMCID: PMC3857525 DOI: 10.3389/fnagi.2013.00076] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Accepted: 10/30/2013] [Indexed: 11/13/2022] Open
Abstract
White matter hyperintensities (WMH) are brain areas of increased signal on T2-weighted or fluid-attenuated inverse recovery magnetic resonance imaging (MRI) scans. In this study we present a new semi-automated method to measure WMH load that is based on the segmentation of the intensity histogram of fluid-attenuated inversion recovery images. Thirty patients with mild cognitive impairment with variable WMH load were enrolled. The semi-automated WMH segmentation included removal of non-brain tissue, spatial normalization, removal of cerebellum and brain stem, spatial filtering, thresholding to segment probable WMH, manual editing for correction of false positives and negatives, generation of WMH map, and volumetric estimation of the WMH load. Accuracy was quantitatively evaluated by comparing semi-automated and manual WMH segmentations performed by two independent raters. Differences between the two procedures were assessed using Student’s t-tests and similarity was evaluated using linear regression model and Dice similarity coefficient (DSC). The volumes of the manual and semi-automated segmentations did not statistically differ (t-value = -1.79, DF = 29, p = 0.839 for rater 1; t-value = 1.113, DF = 29, p = 0.2749 for rater 2), were highly correlated [R2 = 0.921, F(1,29) = 155.54, p < 0.0001 for rater 1; R2 = 0.935, F(1,29) = 402.709, p < 0.0001 for rater 2] and showed a very strong spatial similarity (mean DSC = 0.78, for rater 1 and 0.77 for rater 2). In conclusion, our semi-automated method to measure the load of WMH is highly reliable and could represent a good tool that could be easily implemented in routinely neuroimaging analyses to map clinical consequences of WMH.
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Affiliation(s)
- Mariangela Iorio
- Neuropsychiatry Laboratory, Department of Clinical and Behavioral Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation Rome, Italy
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83
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van Overbeek EC, Staals J, van Oostenbrugge RJ. Vitamin B12 and progression of white matter lesions. A 2-year follow-up study in first-ever lacunar stroke patients. PLoS One 2013; 8:e78100. [PMID: 24155983 PMCID: PMC3796459 DOI: 10.1371/journal.pone.0078100] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Accepted: 09/06/2013] [Indexed: 11/28/2022] Open
Abstract
In cross-sectional studies periventricular white matter lesions (WML) were related to low plasma levels of vitamin B12. Whether low vitamin B12 levels are also related to progression of WML is still unknown. We studied baseline vitamin B12 levels and its association with progression of WML over 2 years of follow-up in first-ever lacunar stroke patients. In 107 first-ever lacunar stroke patients in whom baseline brain MRI and vitamin B12 status were available, we obtained a follow-up brain MRI after 2 years. We assessed progression of periventricular WML (pWML) and deep WML (dWML) using a visual WML change scale. We studied the relationship between baseline levels of plasma vitamin B12 and progression of WML after 2 years of follow-up by binary logistic regression analyses. Vitamin B12 deficiency was more frequent in patients with progression of pWML compared to those without progression (41.9% and 19.7% respectively, p = 0.02). Corrected for sex and age, progression of pWML was associated with lower baseline levels of vitamin B12 (OR 1.42 per 50 unit decrease, 95% CI 1.00-1.92). Vitamin B12 levels were not associated with progression of dWML. In conclusion progression of pWML after 2 years of follow-up relates to low levels of vitamin B12 at baseline in first-ever lacunar stroke patients. Whether this population could benefit from vitamin B12 supplementation is unknown and requires further investigation.
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Affiliation(s)
- Ellen C. van Overbeek
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- * E-mail:
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Robert J. van Oostenbrugge
- Department of Neurology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
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84
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Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, Black SE, Brayne C, Breteler M, Chabriat H, DeCarli C, de Leeuw FE, Doubal F, Duering M, Fox NC, Greenberg S, Hachinski V, Kilimann I, Mok V, Oostenbrugge RV, Pantoni L, Speck O, Stephan BCM, Teipel S, Viswanathan A, Werring D, Chen C, Smith C, van Buchem M, Norrving B, Gorelick PB, Dichgans M. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013; 12:822-38. [PMID: 23867200 PMCID: PMC3714437 DOI: 10.1016/s1474-4422(13)70124-8] [Citation(s) in RCA: 3670] [Impact Index Per Article: 333.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Cerebral small vessel disease (SVD) is a common accompaniment of ageing. Features seen on neuroimaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. SVD can present as a stroke or cognitive decline, or can have few or no symptoms. SVD frequently coexists with neurodegenerative disease, and can exacerbate cognitive deficits, physical disabilities, and other symptoms of neurodegeneration. Terminology and definitions for imaging the features of SVD vary widely, which is also true for protocols for image acquisition and image analysis. This lack of consistency hampers progress in identifying the contribution of SVD to the pathophysiology and clinical features of common neurodegenerative diseases. We are an international working group from the Centres of Excellence in Neurodegeneration. We completed a structured process to develop definitions and imaging standards for markers and consequences of SVD. We aimed to achieve the following: first, to provide a common advisory about terms and definitions for features visible on MRI; second, to suggest minimum standards for image acquisition and analysis; third, to agree on standards for scientific reporting of changes related to SVD on neuroimaging; and fourth, to review emerging imaging methods for detection and quantification of preclinical manifestations of SVD. Our findings and recommendations apply to research studies, and can be used in the clinical setting to standardise image interpretation, acquisition, and reporting. This Position Paper summarises the main outcomes of this international effort to provide the STandards for ReportIng Vascular changes on nEuroimaging (STRIVE).
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Affiliation(s)
- Joanna M Wardlaw
- Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Correspondence to: Prof Joanna M Wardlaw, Division of Neuroimaging Sciences, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Eric E Smith
- Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary and Seaman Family MR Research Centre, Calgary, AL, Canada
| | - Geert J Biessels
- Department of Neurology, Rudolf Magnus Institute of Neuroscience, UMC Utrecht, Utrecht, Netherlands
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Richard Frayne
- Departments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary and Seaman Family MR Research Centre, Calgary, AL, Canada
| | - Richard I Lindley
- University of Sydney and George Institute for Global Health, Westmead Hospital, University of Sydney, Sydney, NSW, Australia
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, Netherlands
| | - Oscar R Benavente
- Department of Medicine, Division of Neurology, Brain Research Centre, University of British Columbia, Vancouver, BC, Canada
| | | | - Carol Brayne
- Cambridge Institute of Public Health, School of Clinical Medicine, Cambridge, UK
| | | | - Hugues Chabriat
- Service de Neurologie, Hopital Lariboisiere, INSERM, Université Denis Diderot, Paris, France
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Sacramento, CA, USA
| | - Frank-Erik de Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Fergus Doubal
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
| | - Nick C Fox
- Department of Neurodegeneration, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Steven Greenberg
- Massachusetts General Hospital, Stroke Research Center, Boston, MA, USA
| | - Vladimir Hachinski
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE) Rostock and Greifswald, Rostock, Germany
| | - Vincent Mok
- Division of Neurology, Department of Medicine and Therapeutics, Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Robert van Oostenbrugge
- Department of Neurology, School of Mental Health and Neuroscience, and Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | - Leonardo Pantoni
- Azienda Universitario Ospedaliera Careggi, Department of Neuroscience, Pharmacology and Child's Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Faculty for Natural Sciences, Institute for Experimental Physics, Otto-von-Guericke UniversityMagdeburg, Magdeburg, Germany
| | | | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) Rostock and Greifswald, Rostock, Germany
| | - Anand Viswanathan
- Massachusetts General Hospital, Stroke Research Center, Boston, MA, USA
| | - David Werring
- Stroke Research Group, Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, UK
| | - Christopher Chen
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Colin Smith
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Mark van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Bo Norrving
- Department of Clinical Sciences, Section of Neurology, Skåne University Hospital, Lund, Sweden
| | - Philip B Gorelick
- Saint Mary's Health Care, Hauenstein Neuroscience Center, Grand Rapids, MI, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Prof M Dichgans, Institute for Stroke and Dementia Research, Klinikum der Universität, Munich, Germany
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85
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Yamano S, Horii M, Takami T, Sakuma M, Morimoto T, Okada S, Taoka T, Kichikawa K, Sasamura H, Itoh H, Furuya Y, Ueno S, Imamura T, Sugiyama S, Ogawa H, Saito Y. Comparison between angiotensin-converting enzyme inhibitors and angiotensin receptor blockers on the risk of stroke recurrence and longitudinal progression of white matter lesions and silent brain infarcts on MRI (CEREBRAL study): rationale, design, and methodology. Int J Stroke 2013; 10:452-6. [PMID: 23834197 DOI: 10.1111/ijs.12085] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2012] [Accepted: 10/31/2012] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Patients with a history of ischemic stroke are known to develop new ischemic stroke. While asymptomatic, the presence and progression of silent brain infarcts and white matter lesions on magnetic resonance imaging are associated with an increased risk of future strokes. Both angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers are recommended for the primary and secondary prevention of stroke, but there are no direct comparisons of angiotensin-converting enzyme inhibitors versus angiotensin II receptor blockers regarding their cerebroprotective effects, including their effect on asymptomatic cerebral lesions detected by magnetic resonance imaging. METHODS Elderly (65 years or older) patients with essential hypertension who underwent cerebral magnetic resonance imaging and were found to have any cerebral ischemic lesions, such as cerebral infarction, silent brain infarct, or white matter lesion, were enrolled in this CEREBRAL study. Patients who agreed to participate were enrolled in the randomized controlled trial portion. Patients who did not agree to participate in the randomized controlled trial were enrolled in the cohort study portion. After two-years of angiotensin-converting enzyme inhibitor or angiotensin II receptor blockers treatment, follow-up magnetic resonance imaging examination will be performed. The primary end-point is the composite of (1) occurrence of a fatal or nonfatal cerebrovascular event or (2) progression of cerebrovascular lesions as evaluated by magnetic resonance imaging, including white matter lesions or silent brain infarcts. After enrollment, cognitive function was evaluated, if possible, using the Mini-Mental State Examination. CONCLUSIONS Our study will clarify whether angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers are more effective for preventing primary and recurrence of ischemic stroke, including the progression of asymptomatic cerebral lesions on magnetic resonance imaging, in elderly hypertensive patients.
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Affiliation(s)
- Shigeru Yamano
- First Department of Internal Medicine, Nara Medical University, Kashihara, Japan; Department of Internal Medicine, Nara Prefectural General Rehabilitation Center, Shiki, Japan
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86
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Abstract
PURPOSE OF REVIEW Alzheimer's disease has long been primarily considered a disease of gray matter. However, convergent evidence has suggested that white matter abnormalities are also important components of Alzheimer's disease. We undertook a review of the recent findings of Alzheimer's disease related white matter aberrations identified in patients with Alzheimer's disease and using in-vitro and in-vivo models, and discuss the potential causes of white matter damage in Alzheimer's disease. In doing so, we aim to provide a renewed insight into white matter changes in Alzheimer's disease and related dementias. RECENT FINDINGS Neuroimaging studies have found that patients with preclinical Alzheimer's disease have widespread white matter abnormalities at a stage similar to those reported in Alzheimer's disease, whereas gray matter structures were relatively intact. In addition, demyelination of the white matter is reported to occur prior to the presence of amyloid-β plaques and neurofibrillary tangles in the presymptomatic stages of Alzheimer's disease. Furthermore, in a mouse model of Alzheimer's disease, axonal disease due to impaired axonal transport was shown to precede and drive downstream production and aggregation of amyloid β peptides. SUMMARY White matter abnormalities not only represent an early neuropathological event in Alzheimer's disease but may also play an important role in the pathogenesis and diagnosis of Alzheimer's disease.
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87
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Jonsson M, Zetterberg H, Rolstad S, Edman A, Gouw AA, Bjerke M, Lind K, Blennow K, Pantoni L, Inzitari D, Wallin A. Low cerebrospinal fluid sulfatide predicts progression of white matter lesions: The LADIS study. Dement Geriatr Cogn Disord 2013; 34:61-7. [PMID: 22922641 DOI: 10.1159/000341576] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/18/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Demyelination and axonal degeneration are the hallmarks of established white matter lesions (WML). The neurochemistry of ongoing WML is only partially known. We explored cerebrospinal fluid (CSF) substances as markers of brain tissue damage in relation to progression of WML rated on magnetic resonance imaging. METHODS CSF from elderly individuals with WML was analyzed for amyloid markers, total τ, hyperphosphorylated τ, neurofilament protein light subunit, sulfatide and CSF/serum-albumin ratio. After 3 years, a follow-up magnetic resonance imaging was performed. Progression of WML was rated using the Rotterdam Progression Scale (RPS). RESULTS 37 subjects (age 73.6 ± 4.6 years) were included. Subjects with more pronounced progression (RPS > 2; n = 15) had lower mean sulfatide concentration at baseline as compared to subjects with no or minimal progression (RPS 0-2; n = 22) according to univariate analyses (p = 0.009). Sulfatide was the only biomarker that predicted the RPS score according to regression analysis, explaining 18.9% of the total variance (r = 0.38, p = 0.015). CONCLUSION The correlation of CSF sulfatide levels and RPS scores may reflect a remyelination response to the demyelination process associated with WML. Furthermore, the results strengthen the notion that WML pathology is different from that of Alzheimer's disease.
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Affiliation(s)
- Michael Jonsson
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Sweden.
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88
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Paavilainen T, Lepomäki V, Saunavaara J, Borra R, Nuutila P, Kantola I, Parkkola R. Diffusion tensor imaging and brain volumetry in Fabry disease patients. Neuroradiology 2013; 55:551-8. [PMID: 23292181 DOI: 10.1007/s00234-012-1131-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2012] [Accepted: 12/12/2012] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Fabry disease is a rare lysosomal storage disorder leading to cellular accumulation of globotriaosylceramide, especially in blood vessels. It is associated with severe early onset cerebrovascular disease and kidney and heart failure. The purpose of this study was to reveal possible disturbances in white matter integrity in Fabry disease patients using voxelwise diffusion-tensor imaging (DTI) analysis. METHODS Twelve Fabry disease patients, along with 13 healthy controls, underwent DTI and structural MRI. Voxel-based analysis of the DTI data was performed to assess possible differences in DTI parameters between Fabry disease patients and healthy controls. A selective region of interest analysis was performed for healthy volunteers and Fabry disease patients having a mild burden of T2-hyperintense lesions. We also measured normalised brain tissue volumes and performed a voxel-based volume analysis for grey matter. RESULTS Voxel-based analysis of DTI data showed areas of significantly reduced fractional anisotropy and increased mean diffusivity in patients with Fabry disease. Eight patients had a mild burden of white matter lesions on their T2 scans. Region of interest analysis on areas showing reduced fractional anisotropy in voxelwise analysis also revealed reduced fractional anisotropy values in this patient group compared to eight healthy volunteers. The brain volume analyses did not reveal significant differences between the Fabry disease patients and the controls. CONCLUSION These findings suggest a microstructural damage in brain white matter of Fabry disease patients, which can be revealed before excessive white matter lesions load is visible on conventional MR scans.
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Affiliation(s)
- Teemu Paavilainen
- Medical Imaging Centre of Southwest Finland, Turku University Hospital, PO Box 52, 20521 Turku, Finland.
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89
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90
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Wardlaw JM, Doubal FN, Valdes-Hernandez M, Wang X, Chappell FM, Shuler K, Armitage PA, Carpenter TC, Dennis MS. Blood-brain barrier permeability and long-term clinical and imaging outcomes in cerebral small vessel disease. Stroke 2012; 44:525-7. [PMID: 23233386 DOI: 10.1161/strokeaha.112.669994] [Citation(s) in RCA: 122] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE Increased blood-brain barrier (BBB) permeability occurs in cerebral small vessel disease. It is not known if BBB changes predate progression of small vessel disease. METHODS We followed-up patients with nondisabling lacunar or cortical stroke and BBB permeability magnetic resonance imaging after their original stroke. Approximately 3 years later, we assessed functional outcome (Oxford Handicap Score, poor outcome defined as 3-6), recurrent neurological events, and white matter hyperintensity (WMH) progression on magnetic resonance imaging. RESULTS Among 70 patients with mean age of 68 (SD ± 11) years, median time to clinical follow-up was 39 months (interquartile range, 30-45) and median Oxford Handicap Score was 2 (interquartile range, 1-3); poor functional outcome was associated with higher baseline WMH score (P<0.001) and increased basal ganglia BBB permeability (P=0.046). Among 48 patients with follow-up magnetic resonance imaging, WMH progression at follow-up was associated with baseline WMH (ANCOVA P<0.0001) and age (ANCOVA P=0.032). CONCLUSIONS Further long-term studies to evaluate the role of BBB dysfunction in progression of small vessel disease are required in studies that are large enough to account for key prognostic influences such as baseline WMH and age.
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Affiliation(s)
- Joanna M Wardlaw
- Brain Research Imaging Center, Division of Clinical Neurosciences, University of Edinburgh, Edinburgh, United Kingdom.
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91
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Poggesi A, Gouw A, van der Flier W, Pracucci G, Chabriat H, Erkinjuntti T, Fazekas F, Ferro JM, Hennerici M, Langhorne P, O'Brien JT, Visser MC, Wahlund LO, Waldemar G, Wallin A, Scheltens P, Inzitari D, Pantoni L. Cerebral white matter changes are associated with abnormalities on neurological examination in non-disabled elderly: the LADIS study. J Neurol 2012. [PMID: 23180181 DOI: 10.1007/s00415-012-6748-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Cerebral white matter changes (WMC) are associated with motor, cognitive, mood, urinary disturbances, and disability, but little is known about the prevalence of neurological signs in patients with these brain lesions. We assessed the presence and occurrence of neurological abnormalities over a 3-year period and their possible associations with WMC in a cohort of initially non-disabled elderly subjects. Data from the multicenter Leukoaraiosis And DISability study were used. A standard neurological examination was performed at baseline and at each of the annual follow-up visits. A standard MRI scan was performed at baseline and after 3-years. WMC severity was graded as mild, moderate, or severe on the Fazekas scale, while the Rotterdam scale was used to assess progression. Infarcts and their occurrence were also assessed. Six hundred and thirty-nine non-disabled subjects were enrolled (mean age 74.1 ± 5.0, M/F: 288/351). Severe WMC at baseline were associated with gait and stance abnormalities, upper motor signs, and fingertap slowing. This effect was independent of age, sex, lacunar and non-lacunar infarcts. The occurrence of stance abnormalities, upper motor signs, primitive reflexes and fingertap slowing during the 3-year follow-up period was associated with both baseline WMC load and their progression. The occurrence of the same abnormalities plus extrapyramidal and primitive reflexes was associated with incident lacunar infarcts. In our cohort of non-disabled elders, severe WMC were associated with the presence and the occurrence of neurological signs, independently of other vascular brain lesions, confirming that these lesions have clinical relevance.
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Affiliation(s)
- Anna Poggesi
- Department of Neurological and Psychiatric Sciences, University of Florence, Largo Brambilla 3, 50134 Florence, Italy
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Cyarto EV, Lautenschlager NT, Desmond PM, Ames D, Szoeke C, Salvado O, Sharman MJ, Ellis KA, Phal PM, Masters CL, Rowe CC, Martins RN, Cox KL. Protocol for a randomized controlled trial evaluating the effect of physical activity on delaying the progression of white matter changes on MRI in older adults with memory complaints and mild cognitive impairment: the AIBL Active trial. BMC Psychiatry 2012; 12:167. [PMID: 23050829 PMCID: PMC3534144 DOI: 10.1186/1471-244x-12-167] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2012] [Accepted: 09/28/2012] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Older adults free of dementia but with subjective memory complaints (SMC) or mild cognitive impairment (MCI) are considered at increased risk of cognitive decline. Vascular risk factors (VRF), including hypertension, heart disease, smoking, hypercholesterolemia and lack of physical activity (PA) have been identified as modifiable risk factors contributing to cognitive decline, and white matter hyperintensities (WMH) are associated with VRF, SMC and cognitive impairment. Findings from a growing number of clinical trials with older adults are providing strong evidence for the benefits of physical activity for maintaining cognitive function, but few studies are investigating these benefits in high-risk populations. The aim of AIBL Active is to determine whether a 24-month physical activity program can delay the progression of white matter changes on magnetic resonance imaging (MRI). METHODS/DESIGN This single-blind randomized controlled trial (RCT) is offered to 156 participants, aged 60 and older, in the Melbourne arm of the Australian Imaging Biomarkers and Lifestyle Flagship Study of Aging (AIBL). Participants must have SMC with or without MCI and at least one VRF. The PA intervention is a modification of the intervention previously trialed in older adults with SMC and MCI (Fitness for the Ageing Brain Study). It comprises 24 months of moderate, home-based PA (150 minutes per week) and a behavioral intervention package. The primary outcome measure will be change in WMH after 24 months on MRI. Cognition, quality of life, functional fitness, level of physical activity, plasma biomarkers for cerebrovascular disease and amyloid positron emission tomography (PET) imaging comprise secondary measures. DISCUSSION Currently, there is no effective pharmacological treatment available to delay cognitive decline and dementia in older adults at risk. Should our findings show that physical activity can slow down the progression of WMH, this RCT would provide an important proof of concept. Since imbedded in AIBL this RCT will also be able to investigate the interaction between vascular and Alzheimer's disease pathologies. TRIAL REGISTRATION Australia New Zealand Clinical Trials Registry ACTRN12611000612910.
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Affiliation(s)
| | - Nicola T Lautenschlager
- Department of Psychiatry, Academic Unit for Psychiatry of Old Age, St. Vincent’s Health, The University of Melbourne, Melbourne, Australia,School of Psychiatry and Clinical Neurosciences and Western Australia Centre for Health & Ageing, University of Western Australia, Perth, Australia
| | - Patricia M Desmond
- Department of Radiology, Royal Melbourne Hospital and The University of Melbourne, Melbourne, Australia
| | - David Ames
- National Ageing Research Institute, Melbourne, Australia,Department of Psychiatry, Academic Unit for Psychiatry of Old Age, St. Vincent’s Health, The University of Melbourne, Melbourne, Australia
| | - Cassandra Szoeke
- National Ageing Research Institute, Melbourne, Australia,Commonwealth Scientific and Industrial Research Organisation (CSIRO) Preventative Health Flagship, Melbourne, Australia
| | - Olivier Salvado
- CSIRO Preventative Health Flagship ICT, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Matthew J Sharman
- School of Exercise and Health Sciences, Edith Cowan University, Perth, Australia
| | - Kathryn A Ellis
- National Ageing Research Institute, Melbourne, Australia,Department of Psychiatry, Academic Unit for Psychiatry of Old Age, St. Vincent’s Health, The University of Melbourne, Melbourne, Australia,Mental Health Research Institute, The University of Melbourne, Melbourne, Australia
| | - Pramit M Phal
- Department of Radiology, Royal Melbourne Hospital and The University of Melbourne, Melbourne, Australia
| | - Colin L Masters
- Mental Health Research Institute, The University of Melbourne, Melbourne, Australia,Centre for Neuroscience, The University of Melbourne, Melbourne, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Hospital, Melbourne, Australia
| | - Ralph N Martins
- School of Medical Sciences, Edith Cowan University, Perth, Australia
| | - Kay L Cox
- School of Medicine and Pharmacology, University of Western Australia, Perth, Australia
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Weber R, Weimar C, Blatchford J, Hermansson K, Wanke I, Möller-Hartmann C, Gizewski ER, Forsting M, Demchuk AM, Sacco RL, Saver JL, Warach S, Diener HC, Diehl A. Telmisartan on Top of Antihypertensive Treatment Does Not Prevent Progression of Cerebral White Matter Lesions in the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) MRI Substudy. Stroke 2012; 43:2336-42. [DOI: 10.1161/strokeaha.111.648576] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Ralph Weber
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Christian Weimar
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Jon Blatchford
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Karin Hermansson
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Isabel Wanke
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Claudia Möller-Hartmann
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Elke R. Gizewski
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Michael Forsting
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Andrew M. Demchuk
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Ralph L. Sacco
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Jeffrey L. Saver
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Steven Warach
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Hans-Christoph Diener
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
| | - Anke Diehl
- From the Departments of Neurology (R.W., C.W., H.C.D.) and Neuroradiology (I.W., C.M.-H., E.R.G., M.F., A.D.), University of Duisburg-Essen, Essen, Germany; Boehringer Ingelheim–Ltd, Bracknell, UK (J.B.); Boehringer Ingelheim AB, Stockholm, Sweden (K.H.); Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada (A.M.D.); Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL (R.L.S.); Los Angeles Stroke Center, University of California, Los
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94
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Multispectral MRI segmentation of age related white matter changes using a cascade of support vector machines. J Neurol Sci 2012; 322:211-6. [PMID: 22921728 DOI: 10.1016/j.jns.2012.07.064] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2012] [Revised: 07/23/2012] [Accepted: 07/26/2012] [Indexed: 11/23/2022]
Abstract
White matter changes (WMC) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMC labor intensive and prone to subjective bias. We present a fast, fully automated method for WMC segmentation using a cascade of reduced support vector machines (SVMs) with active learning. Data of 102 subjects was used in this study. Two MRI sequences (T1-weighted and FLAIR) and masks of manually outlined WMC from each subject were used for the image analysis. The segmentation framework comprises pre-processing, classification (training and core segmentation) and post-processing. After pre-processing, the model was trained on two subjects and tested on the remaining 100 subjects. The effectiveness and robustness of the classification was assessed using the receiver operating curve technique. The cascade of SVMs segmentation framework outputted accurate results with high sensitivity (90%) and specificity (99.5%) values, with the manually outlined WMC as reference. An algorithm for the segmentation of WMC is proposed. This is a completely competitive and fast automatic segmentation framework, capable of using different input sequences, without changes or restrictions of the image analysis algorithm.
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95
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Schmidt R, Berghold A, Jokinen H, Gouw AA, van der Flier WM, Barkhof F, Scheltens P, Petrovic K, Madureira S, Verdelho A, Ferro JM, Waldemar G, Wallin A, Wahlund LO, Poggesi A, Pantoni L, Inzitari D, Fazekas F, Erkinjuntti T. White matter lesion progression in LADIS: frequency, clinical effects, and sample size calculations. Stroke 2012; 43:2643-7. [PMID: 22879094 DOI: 10.1161/strokeaha.112.662593] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE White matter lesion (WML) progression has been advocated as a surrogate marker in intervention trials on cerebral small vessel disease. We assessed the rate of visually rated WML progression, studied correlations between lesion progression and cognition, and estimated sample sizes for clinical trials with pure WML progression vs combined WML progression-cognitive outcomes. METHODS Those 394 participants of the Leukoaraiosis and Disability Study (LADIS) study with magnetic resonance imaging scanning at baseline and 3-year follow-up were analyzed. WML progression rating relied on the modified Rotterdam Progression Scale. The Vascular Dementia Assessment Scale global score and a composite score of specific executive function tests assessed longitudinal change in cognition. Sample size calculations were based on the assumption that treatment reduces WML progression by 1 grade on the Rotterdam Progression Scale. RESULTS WML progression related to deterioration in cognitive functioning. This relationship was less pronounced in subjects with early confluent and confluent lesions. Consequently, studies in which the outcome is cognitive change resulting from treatment effects on lesion progression will need between 1809 subjects per treatment arm when using executive tests and up to 18 853 subjects when using the Vascular Dementia Assessment Scale score. Studies having WML progression as the sole outcome will need only 58 or 70 individuals per treatment arm. CONCLUSIONS WML progression is an interesting outcome for proof-of-concept studies in cerebral small vessel disease. If cognitive outcome measures are added to protocols, then sample size estimates increase substantially. Our data support the use of an executive test battery rather than the Vascular Dementia Assessment Scale as the primary cognitive outcome measure.
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Affiliation(s)
- Reinhold Schmidt
- Department of Neurology, Statistics and Documentation Medical University Graz, Austria.
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96
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Wang Y, Catindig JA, Hilal S, Soon HW, Ting E, Wong TY, Venketasubramanian N, Chen C, Qiu A. Multi-stage segmentation of white matter hyperintensity, cortical and lacunar infarcts. Neuroimage 2012; 60:2379-88. [DOI: 10.1016/j.neuroimage.2012.02.034] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2011] [Revised: 02/13/2012] [Accepted: 02/15/2012] [Indexed: 01/18/2023] Open
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97
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Zhang B, Zhang JG, Zhao H, Zhang X, Li M, Qian L, Wang K, Tian CS, Guo WH, Cao QY, Zhou ZY, Yu H, Li C, Xu J, Cao W, Zhu B, Xu Y. Evaluation of apparent diffusion coefficient mappings in amnestic mild cognitive impairment using an image analysis software brain search. Acta Radiol 2011; 52:1147-54. [PMID: 21969707 DOI: 10.1258/ar.2011.100430] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND The apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) can quantify alterations in water diffusivity resulting from microscopic structural changes from amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD). PURPOSE To investigate the ADC value for aMCI and AD using Brain Search (BS) software based on anatomical volumes of interest (AVOI). MATERIAL AND METHODS In total, 174 aged people were screened, and 25 patients with AD, 26 patients with aMCI, and 18 normal controls (NCs) were recruited. DWI was performed at 1.5 T with a fluid-attenuated inversion recovery (FLAIR), and the independent ADC mapping was generated after imaging acquisition. Ninety regional parcellations were adopted in a Brain Search (BS) based on the automated anatomic labeling atlas. The gray scale intensities (water diffusivity) from the collected ADC mappings were analyzed with BS. The mean value of each anatomical brain region was compared among aMCI, AD, and NC. The statistically significant (P < 0.05) group differences are displayed in color. RESULTS During the pathological process of AD, the changes of water diffusivity appeared first in the left hippocampus, then gradually progressed to the bilateral sides and eventually displayed right lateralization. The ADC values from aMCI were obviously elevated compared to the values from the NC group in the left limbic cortex. Between the AD and NC groups, the significantly different brain areas included the bilateral hippocampus, the Cingulum_Mid, the ParaHippocampal_R, and the Temporal and Frontal lobes. There was a negative correlation between the ADC values and the scores from MMSE, MoCA, the Digit test, Raven's IQ, and WAIS IQ. Additionally, the ADC values were positively correlated with the scores from CDR, ADL, and ADAS-Cog. CONCLUSION The water diffusivity for aMCI and AD displays asymmetric anatomical lateralization. The water diffusivity alterations can be analyzed and visualized with our newly designed analytic imaging software, BS, which can be used as a good reference for examining and diagnosing aMCI and AD patients.
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Affiliation(s)
- Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Jian-ge Zhang
- Department of Biomedical Engineering, Shanghai Jiao-tong University School of Medicine
| | - Hui Zhao
- Department of Neurology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Xin Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Ming Li
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Lai Qian
- Department of Neurology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Kun Wang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Chuan-shuai Tian
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Wan-hua Guo
- Department of PET, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Qiu-yun Cao
- Department of Psychology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Zheng-yang Zhou
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Haiping Yu
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Chen Li
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Jun Xu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University
| | - Wangsen Cao
- The Jiangsu Key Laboratory for Molecular Technology, Nanjing University School of Medicine, Nanjing
| | - Bin Zhu
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
| | - Yun Xu
- Department of Neurology, The Affiliated Drum Tower Hospital of Nanjing University Medical School
- The Jiangsu Key Laboratory for Molecular Medicine, Nanjing, China
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Imamine R, Kawamura T, Umemura T, Umegaki H, Kawano N, Hotta M, Kouchi Y, Hatsuda S, Watarai A, Kanai A, Nakashima E, Sano T, Sakakibara T, Nakamura J, Hotta N. Does cerebral small vessel disease predict future decline of cognitive function in elderly people with type 2 diabetes? Diabetes Res Clin Pract 2011; 94:91-9. [PMID: 21742401 DOI: 10.1016/j.diabres.2011.06.014] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2011] [Revised: 06/07/2011] [Accepted: 06/13/2011] [Indexed: 01/21/2023]
Abstract
AIMS We conducted a 3-year longitudinal study concerning an association between cognitive function and cerebral small vessel disease (SVD) seen on magnetic resonance imaging (MRI) in elderly type 2 diabetic patients. METHODS Four cognitive function tests--MMSE, word recall, Digit Symbol Substitution (DSS), and Stroop Color Word (Stroop)--were performed in 67 diabetic patients twice in 2006 and 2009. SVD was diagnosed as silent brain infarct (SBI) and white matter lesions (WMLs) according to MRI. RESULTS Number of SBI was significantly correlated with a decline in DSS and Stroop tests, while WMLs grade was only associated with it in DSS tests after adjustment for age, gender, education years, the presence of hypertension and dyslipidemia, and smoking. Severity of SVD at baseline was stronger associated with cognitive function after the 3-year follow-up than at baseline. WMLs progression was associated with more rapid decline of DSS tests compared to a group without progression. CONCLUSIONS SVD seen on MRI is a good marker for predicting future cognitive decline, and monitoring of treatment through the use of such markers is expected to maintain a good quality of life for elderly diabetic patients.
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Affiliation(s)
- Rui Imamine
- Department of Diabetes and Endocrine Internal Medicine, Chubu Rosai Hospital, Nagoya, Japan
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99
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Pavlović AM, Pekmezović T, Zidverc-Trajković J, Jovanović Z, Mijajlovic M, Pavlović D, Tomić G, Sternić N. What are the differences between younger and older patients with symptomatic small vessel disease? Clin Neurol Neurosurg 2011; 113:762-7. [PMID: 21890262 DOI: 10.1016/j.clineuro.2011.08.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2010] [Revised: 07/25/2011] [Accepted: 08/09/2011] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Although typically linked to aging, small vessel disease (SVD) is also observed in younger adult patients, with common vascular risk factors (RF). We aimed to investigate features of SVD occurrence at an early adult age. PATIENTS AND METHODS Vascular RF, functional and cognitive status and severity of lesions on MRI expressed as total score on Age-Related White Matter Changes (ARWMC) scale were analyzed in 200 consecutive patients with cerebral SVD admitted to a tertiary neurological hospital. Variables were compared between younger (35-55 years) and older (>56 years) patients. RESULTS In this study, 63 (31.5%) of patients were 55 years or younger. Both age groups had comparable RF profiles, but smoking emerged as an independent predictor for SVD at a younger age (OR 2.9; 95% CI 1.5-5.5; p=0.002). Younger patients had better functional (OR 1.8; 95% CI 1.3-2.5; p=0.0001) and cognitive (χ(2) 13.94; p=0.0009) status compared to older patients. However, two thirds of younger patients had some degree of cognitive deficit. Total score on ARWMC scale was lower in younger patients (mean 12.3 in younger versus 15.2 in older, OR 1.11; 95% CI 1.0-1.18; p=0.001). There was a strong correlation in both groups between functional score, cognitive status and ARWMC score (p<0.0001). CONCLUSION In our dataset, younger patients with SVD shared common vascular RF with older patients. In the group aged ≤55, better functional and cognitive status and less severe MRI changes were noted. However, a substantial number of younger SVD patients presenting with TIA or ischemic stroke had various deficits.
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Affiliation(s)
- Aleksandra M Pavlović
- Clinic for Neurology, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
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100
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Xiong YY, Mok V. Age-related white matter changes. J Aging Res 2011; 2011:617927. [PMID: 21876810 PMCID: PMC3163144 DOI: 10.4061/2011/617927] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2011] [Revised: 06/28/2011] [Accepted: 06/28/2011] [Indexed: 11/20/2022] Open
Abstract
Age-related white matter changes (WMC) are considered manifestation of arteriolosclerotic small vessel disease and are related to age and vascular risk factors. Most recent studies have shown that WMC are associated with a host of poor outcomes, including cognitive impairment, dementia, urinary incontinence, gait disturbances, depression, and increased risk of stroke and death. Although the clinical relevance of WMC has been extensively studied, to date, only very few clinical trials have evaluated potential symptomatic or preventive treatments for WMC. In this paper, we reviewed the current understanding in the pathophysiology, epidemiology, clinical importance, chemical biomarkers, and treatments of age-related WMC.
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Affiliation(s)
- Yun Yun Xiong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Shatin 999077, Hong Kong
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