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Aghetti A, Bouteloup V, Lebenberg J, Chupin M, Gourieux E, Mangin JF, Chêne G, Dufouil C, Jouvent E. Superficial white matter hyperintensities are associated with mild tissue alterations in vascular aging. Rev Neurol (Paris) 2025:S0035-3787(25)00501-6. [PMID: 40287332 DOI: 10.1016/j.neurol.2025.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Revised: 02/26/2025] [Accepted: 03/31/2025] [Indexed: 04/29/2025]
Abstract
In the elderly, white matter hyperintensities (WMH) are usually rated as periventricular or deep. However, recent data suggest that superficial WMH may be associated with distinct mechanisms and may be associated with milder underlying tissue alterations. We developed and validated a new grading scale to differentiate superficial WMH from other WMH (either periventricular or deep). We evaluated individuals with high loads of WMH from MEMENTO, a multicenter memory-clinic study, to evaluate the links between superficial WMH and 1) MRI markers of cerebral small vessel disease (number of lacunes and microbleeds and normalized brain volume); 2) cognitive outcomes including global evaluation with Mini Mental State Examination (MMSE). Our analytical sample included 208 participants. Participants with higher grades of superficial WMH had larger normalized brain volumes (82.1±1.3% vs 81.0±1.1%, P<0.001) and were more frequently women (85.0% vs 51.4%, P=0.01). In total contrast but as expected, participants with higher grades of other WMH were older (79.8±8.1 vs 75.5±6.2 years, P<0.001), had more often lacunes (41.7% vs 7.1%, P<0.001) and performed worse at the MMSE (26.8±2.0 vs 28.1±1.7, P=0.01). Our results support the hypothesis that superficial WMH are distinct from other WMH and probably correspond to mild tissue alterations.
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Affiliation(s)
- A Aghetti
- AP-HP, Lariboisière Hospital, Department of Neurology and FHU NeuroVasc, Université de Paris Cité, 75475 Paris, France; Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - V Bouteloup
- INSERM, Bordeaux Population Health Research Center, UMR 1219, University Bordeaux, ISPED, CIC 1401-EC, Univ Bordeaux, 33000 Bordeaux, France; CHU de Bordeaux, Pole de Santé Publique, 33000 Bordeaux, France
| | - J Lebenberg
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; AP-HP, Lariboisière Hospital, Translational Neurovascular Centre, FHU NeuroVasc, Université de Paris Cité, 75475 Paris, France
| | - M Chupin
- ICM, Sorbonne Université, CNRS, Paris, France; CATI Multicenter Neuroimaging Platform
| | - E Gourieux
- ICM, Sorbonne Université, CNRS, Paris, France; CATI Multicenter Neuroimaging Platform
| | - J-F Mangin
- CATI Multicenter Neuroimaging Platform; Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France
| | - G Chêne
- INSERM, Bordeaux Population Health Research Center, UMR 1219, University Bordeaux, ISPED, CIC 1401-EC, Univ Bordeaux, 33000 Bordeaux, France; CHU de Bordeaux, Pole de Santé Publique, 33000 Bordeaux, France
| | - C Dufouil
- INSERM, Bordeaux Population Health Research Center, UMR 1219, University Bordeaux, ISPED, CIC 1401-EC, Univ Bordeaux, 33000 Bordeaux, France; CHU de Bordeaux, Pole de Santé Publique, 33000 Bordeaux, France
| | - E Jouvent
- AP-HP, Lariboisière Hospital, Department of Neurology and FHU NeuroVasc, Université de Paris Cité, 75475 Paris, France; Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France; Université Paris-Cité, Paris, France.
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Beyer F, Tsuchida A, Soumaré A, Rajula HSR, Mishra A, Crivello F, Proust‐Lima C, Loeffler M, Tzourio C, Amouyel P, Villringer A, Scholz M, Jacqmin‐Gadda H, Joliot M, Witte AV, Dufouil C, Debette S. White matter hyperintensity spatial patterns: Risk factors and clinical correlates. Alzheimers Dement 2025; 21:e70053. [PMID: 40189793 PMCID: PMC11972985 DOI: 10.1002/alz.70053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 01/04/2025] [Accepted: 01/12/2025] [Indexed: 04/09/2025]
Abstract
INTRODUCTION White matter hyperintensities (WMHs), a major cerebral small vessel disease (cSVD) marker, may arise from different pathologies depending on their location. We explored clinical and genetic correlates of agnostically derived spatial WMH patterns in two longitudinal population-based cohorts (Three-City Study [3C]-Dijon, LIFE-Adult). METHODS We derived seven WMH spatial patterns using Bullseye segmentation in 2878 individuals aged 65+ and explored their associations with vascular and genetic risk factors, cognitive performance, dementia and stroke incidence. RESULTS WMHs in the frontoparietal and anterior periventricular region were associated with blood pressure traits, WMH genetic risk score (GRS), baseline and decline in general cognitive performance, incident all-cause dementia, and ischemic stroke. Juxtacortical-deep occipital WMHs were not associated with vascular risk factors and WMH GRS, but with incident all-cause dementia and intracerebral hemorrhage. DISCUSSION Accounting for WMH spatial distribution is key to deciphering mechanisms underlying cSVD subtypes, an essential step towards personalized therapeutic approaches. HIGHLIGHTS We studied spatial patterns of WMHs in 2878 participants. Blood pressure was associated with frontoparietal and anterior PV WMHs. Anterior PV WMHs predicted dementia and stroke risk. Juxtacortical-deep occipital WMH burden was not associated with blood pressure or WMH genetic risk. Juxtacortical-deep occipital WMH burden predicted dementia and intracerebral hemorrhage.
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Affiliation(s)
- Frauke Beyer
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
- Department of NeurologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Ami Tsuchida
- CEA, CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging GroupUniversity of BordeauxBordeauxFrance
| | - Aicha Soumaré
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
| | | | - Aniket Mishra
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
| | - Fabrice Crivello
- CEA, CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging GroupUniversity of BordeauxBordeauxFrance
| | - Cécile Proust‐Lima
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE)University of LeipzigLeipzigGermany
| | - Christophe Tzourio
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
- Department of Medical InformaticsBordeaux University HospitalBordeauxFrance
| | - Philippe Amouyel
- INSERM U1167University of Lille, Institut Pasteur de Lille, 1 Rue du Professeur CalmetteLilleFrance
| | - Arno Villringer
- Department of NeurologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- Clinic of Cognitive NeurologyUniversity Clinic LeipzigLeipzigGermany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE)University of LeipzigLeipzigGermany
| | - Hélène Jacqmin‐Gadda
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
| | - Marc Joliot
- CEA, CNRS, Institute of Neurodegenerative Diseases, UMR5293, Neurofunctional Imaging GroupUniversity of BordeauxBordeauxFrance
| | - A. Veronica Witte
- Department of NeurologyMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
- Clinic of Cognitive NeurologyUniversity Clinic LeipzigLeipzigGermany
- CRC 1052 “Obesity Mechanisms”, Subproject A1University of LeipzigLeipzigGermany
| | - Carole Dufouil
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, Inserm UMR1219University of BordeauxBordeauxFrance
- Department of Neurology, Institute for Neurodegenerative DiseasesBordeaux University HospitalBordeauxFrance
- Institut du Cerveau (ICM)Sorbonne UniversitéParisFrance
- Department of NeurologyPitiá‐Salpêtrière Hospital, Assistance Publique des Hôpitaux de ParisParisFrance
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Sin MK, Dage JL, Nho K, Dowling NM, Seyfried NT, Bennett DA, Levey AI, Ahmed A. Plasma Biomarkers for Cerebral Amyloid Angiopathy and Implications for Amyloid-Related Imaging Abnormalities: A Comprehensive Review. J Clin Med 2025; 14:1070. [PMID: 40004604 PMCID: PMC11856447 DOI: 10.3390/jcm14041070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 01/29/2025] [Accepted: 02/04/2025] [Indexed: 02/27/2025] Open
Abstract
Anti-amyloid therapies (AATs) are increasingly being recognized as promising treatment options for Alzheimer's disease (AD). Amyloid-related imaging abnormalities (ARIAs), small areas of edema and microbleeds in the brain presenting as abnormal signals in MRIs of the brain for patients with AD, are the most common side effects of AATs. While most ARIAs are asymptomatic, they can be associated with symptoms like nausea, headache, confusion, and gait instability and, less commonly, with more serious complications such as seizures and death. Cerebral amyloid angiopathy (CAA) has been found to be a major risk for ARIA development. The identification of sensitive and reliable non-invasive biomarkers for CAA has been an area of AD research over the years, but with the approval of AATs, this area has taken on a new urgency. This comprehensive review highlights several potential biomarkers, such as Aβ40, Aβ40/42, phosphorylated-tau217, neurofilament light chain, glial fibrillary acidic protein, secreted phosphoprotein 1, placental growth factor, triggering receptor expressed on myeloid cells 2, cluster of differentiation 163, proteomics, and microRNA. Identifying and staging CAA even before its consequences can be detected via neuroimaging are critical to allow clinicians to judiciously select appropriate candidates for AATs, stratify monitoring, properly manage therapeutic regimens for those experiencing symptomatic ARIAs, and optimize the treatment to achieve the best outcomes. Future studies can test potential plasma biomarkers in human beings and evaluate predictive values of individual markers for CAA severity.
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Affiliation(s)
- Mo-Kyung Sin
- College of Nursing, Seattle University, Seattle, WA 98122, USA
| | - Jeffrey L. Dage
- School of Medicine, Indiana University, Indianapolis, IN 46202, USA; (J.L.D.); (K.N.)
| | - Kwangsik Nho
- School of Medicine, Indiana University, Indianapolis, IN 46202, USA; (J.L.D.); (K.N.)
| | - N. Maritza Dowling
- School of Nursing, George Washington University, Washington, DC 20052, USA;
| | - Nicholas T. Seyfried
- Department of Biochemistry, School of Medicine, Emory University, Atlanta, GA 30329, USA;
| | | | - Allan I. Levey
- School of Medicine, Emory University, Atlanta, GA 30322, USA;
| | - Ali Ahmed
- Department of Medicine, Veterans Affairs Medical Center, Washington, DC 20422, USA;
- Department of Medicine, George Washington University, Washington, DC 20037, USA
- Department of Medicine, Georgetown University, Washington, DC 20057, USA
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Makkinejad N, Zanon Zotin MC, van den Brink H, Auger CA, vom Eigen KA, Iglesias JE, Greenberg SM, Perosa V, van Veluw SJ. Neuropathological Correlates of White Matter Hyperintensities in Cerebral Amyloid Angiopathy. J Am Heart Assoc 2024; 13:e035744. [PMID: 39526350 PMCID: PMC11681407 DOI: 10.1161/jaha.124.035744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 09/17/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND White matter hyperintensities (WMHs) are frequently observed on magnetic resonance imaging (MRI) in patients with cerebral amyloid angiopathy (CAA). The neuropathological substrates that underlie WMHs in CAA are unclear, and it remains largely unexplored whether the different WMH distribution patterns associated with CAA (posterior confluent and subcortical multispot) reflect alternative pathophysiological mechanisms. METHODS AND RESULTS We performed a combined in vivo MRI-ex vivo MRI-neuropathological study in patients with definite CAA. Formalin-fixed hemispheres from 19 patients with CAA, most of whom also had in vivo MRI available, underwent 3T MRI, followed by standard neuropathological examination of the hemispheres and targeted neuropathological assessment of WMH patterns. Ex vivo WMH volume was independently associated with CAA severity (P=0.046) but not with arteriolosclerosis (P=0.743). In targeted neuropathological examination, compared with normal-appearing white matter, posterior confluent WMHs were associated with activated microglia (P=0.043) and clasmatodendrosis (P=0.031), a form of astrocytic injury. Trends were found for an association with white matter rarefaction (P=0.074) and arteriolosclerosis (P=0.094). An exploratory descriptive analysis suggested that the histopathological correlates of WMH multispots were similar to those underlying posterior confluent WMHs. CONCLUSIONS This study confirmed that vascular amyloid β severity in the cortex is significantly associated with WMH volume in patients with definite CAA. The histopathological substrates of both posterior confluent and WMH multispots were comparable, suggesting overlapping pathophysiological mechanisms, although these exploratory observations require confirmation in larger studies.
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Affiliation(s)
- Nazanin Makkinejad
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
- Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical SchoolUniversity of São PauloRibeirão PretoSPBrazil
| | - Hilde van den Brink
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Corinne A. Auger
- Department of NeurologyMassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMAUSA
| | - Kali A. vom Eigen
- Department of NeurologyMassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMAUSA
| | - Juan Eugenio Iglesias
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMAUSA
- Computer Science and Artificial Intelligence Laboratory, MITCambridgeMAUSA
- Centre for Medical Image ComputingUniversity College LondonLondonUnited Kingdom
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Valentina Perosa
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Susanne J. van Veluw
- J. Philip Kistler Stroke Research Center, Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
- Department of NeurologyMassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical SchoolCharlestownMAUSA
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Bachmann D, Saake A, Studer S, Buchmann A, Rauen K, Gruber E, Michels L, Nitsch RM, Hock C, Gietl A, Treyer V. Hypertension and cerebral blood flow in the development of Alzheimer's disease. Alzheimers Dement 2024; 20:7729-7744. [PMID: 39254220 PMCID: PMC11567827 DOI: 10.1002/alz.14233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 09/11/2024]
Abstract
INTRODUCTION We investigated the interactive associations between amyloid and hypertension on the entorhinal cortex (EC) tau and atrophy and the role of cerebral blood flow (CBF) as a shared mechanism by which amyloid and hypertension contribute to EC tau and regional white matter hyperintensities (WMHs). METHODS We analyzed data from older adults without dementia participating in the Add-Tau study (NCT02958670, n = 138) or Alzheimer's Disease Neuroimaging Initiative (ADNI) (n = 523) who had available amyloid-positron emission tomography (PET), tau-PET, fluid-attenuated inversion recovery (FLAIR), and T1-weighted magnetic resonance imaging (MRI). A subsample in both cohorts had available arterial spin labeling (ASL) MRI (Add-Tau: n = 78; ADNI: n = 89). RESULTS The detrimental effects of hypertension on AD pathology and EC thickness were more pronounced in the Add-Tau cohort. Increased amyloid burden was associated with decreased occipital gray matter CBF in the ADNI cohort. In both cohorts, lower regional gray matter CBF was associated with higher EC tau and posterior WMH burden. DISCUSSION Reduced cerebral perfusion may be one common mechanism through which hypertension and amyloid are related to increased EC tau and WMH volume. HIGHLIGHTS Hypertension is associated with increased entorhinal cortex (EC) tau, particularly in the presence of amyloid. Decreased cortical cerebral blood flow (CBF) is associated with higher regional white matter hyperintensity volume. Increasing amyloid burden is associated with decreasing CBF in the occipital lobe. MTL CBF and amyloid are synergistically associated with EC tau.
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Affiliation(s)
- Dario Bachmann
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- Department of Health Sciences and TechnologyETH ZürichZurichSwitzerland
| | - Antje Saake
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
| | - Sandro Studer
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
| | - Andreas Buchmann
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
| | - Katrin Rauen
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- Department of Geriatric PsychiatryPsychiatric Hospital ZurichZurichSwitzerland
- Neuroscience Center ZurichUniversity of ZurichZurichSwitzerland
| | - Esmeralda Gruber
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
| | - Lars Michels
- Department of NeuroradiologyClinical Neuroscience Center, University Hospital ZurichZurichSwitzerland
| | - Roger M. Nitsch
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- NeurimmuneZurichSwitzerland
| | - Christoph Hock
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- NeurimmuneZurichSwitzerland
| | - Anton Gietl
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- Department of Geriatric PsychiatryPsychiatric Hospital ZurichZurichSwitzerland
| | - Valerie Treyer
- Institute for Regenerative MedicineUniversity of ZurichZurichSwitzerland
- Department of Nuclear MedicineUniversity Hospital of Zurich, University of ZurichZurichSwitzerland
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Morcillo‐Nieto AO, Zsadanyi SE, Arriola‐Infante JE, Carmona‐Iragui M, Montal V, Pegueroles J, Aranha MR, Vaqué‐Alcázar L, Padilla C, Benejam B, Videla L, Barroeta I, Fernandez S, Altuna M, Giménez S, González‐Ortiz S, Bargalló N, Ribas L, Arranz J, Torres S, Iulita MF, Belbin O, Camacho V, Alcolea D, Lleó A, Fortea J, Bejanin A. Characterization of white matter hyperintensities in Down syndrome. Alzheimers Dement 2024; 20:6527-6541. [PMID: 39087352 PMCID: PMC11497714 DOI: 10.1002/alz.14146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/20/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024]
Abstract
INTRODUCTION In Down syndrome (DS), white matter hyperintensities (WMHs) are highly prevalent, yet their topography and association with sociodemographic data and Alzheimer's disease (AD) biomarkers remain largely unexplored. METHODS In 261 DS adults and 131 euploid controls, fluid-attenuated inversion recovery magnetic resonance imaging scans were segmented and WMHs were extracted in concentric white matter layers and lobar regions. We tested associations with AD clinical stages, sociodemographic data, cerebrospinal fluid (CSF) AD biomarkers, and gray matter (GM) volume. RESULTS In DS, total WMHs arose at age 43 and showed stronger associations with age than in controls. WMH volume increased along the AD continuum, particularly in periventricular regions, and frontal, parietal, and occipital lobes. Associations were found with CSF biomarkers and temporo-parietal GM volumes. DISCUSSION WMHs increase 10 years before AD symptom onset in DS and are closely linked with AD biomarkers and neurodegeneration. This suggests a direct connection to AD pathophysiology, independent of vascular risks. HIGHLIGHTS White matter hyperintensities (WMHs) increased 10 years before Alzheimer's disease symptom onset in Down syndrome (DS). WMHs were strongly associated in DS with the neurofilament light chain biomarker. WMHs were more associated in DS with gray matter volume in parieto-temporal areas.
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Aghamoosa S, Rbeiz KS, Horn O, Thorn KE, Benitez A. The memory binding test in a longitudinal study of cognitive aging and preclinical disease. Neuropsychology 2024; 38:570-588. [PMID: 38976381 PMCID: PMC11905987 DOI: 10.1037/neu0000952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024] Open
Abstract
OBJECTIVE The Memory Binding Test (MBT) shows promise in detecting early cognitive changes associated with Alzheimer's disease (AD). This study assesses the psychometric properties (i.e., construct and criterion validity, test-retest reliability) of the MBT and its sensitivity to incipient disease and incident cognitive impairment. METHOD One hundred forty-nine cognitively unimpaired adults ages 45-85 completed the MBT and neuropsychological tests at baseline; 132 returned for 2-year follow-up. Based on neuroradiological ratings of amyloid positron emission tomography and MRI markers at baseline, they were categorized as healthy (n = 94) or having preclinical disease (n = 55, either on the AD continuum or having non-AD pathologic change). Construct validity was assessed by the associations between MBT scores, demographics, and neuropsychological scores within the healthy group. Criterion validity was assessed by testing how MBT scores correlate with AD biomarkers, differ and discriminate between groups at baseline, and predict incident cognitive impairment. RESULTS MBT scores decreased with age and were strongly associated with memory and global cognition. MBT scores were largely not associated with amyloid, hippocampal volume, or AD signature cortical volume but related to white matter lesion volume in those with preclinical disease. The preclinical groups performed worse on MBT immediate free recall at baseline than the healthy group, but no scores predicted incident cognitive impairment at follow-up. Most scores demonstrated modest test-retest reliability. CONCLUSIONS This study demonstrates that the MBT has adequate construct validity in cognitively unimpaired adults, moderate sensitivity to preclinical disease cross-sectionally, and limited prognostic utility. Careful consideration of demographic influences on score interpretation remains necessary. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Stephanie Aghamoosa
- Department of Health Sciences and Research, College of Health Professions, Medical University of South Carolina
| | - Katrina S Rbeiz
- Department of Neurology, College of Medicine, Medical University of South Carolina
| | - Olivia Horn
- Department of Neurology, College of Medicine, Medical University of South Carolina
| | - Kathryn E Thorn
- Department of Neurology, College of Medicine, Medical University of South Carolina
| | - Andreana Benitez
- Department of Neurology, College of Medicine, Medical University of South Carolina
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Wang J, Wang Y, Cai X, Xia W, Zhu J. A Review: Visuospatial Dysfunction in Patients with the Cerebral Small Vessel Disease. Neuroscience 2024; 552:47-53. [PMID: 38880241 DOI: 10.1016/j.neuroscience.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/18/2024]
Abstract
Cerebral small vessel disease (CSVD) impairs visuospatial function, and this is one of the most obvious areas of cognitive impairment in CSVD. So, recognizing, monitoring, and treating visuospatial dysfunction are all important to the prognosis of CSVD. This review discussed the anatomical and pathological mechanisms, clinical recognition (scales, imaging, and biomarkers), and treatment of cognitive impairment especially visuospatial dysfunction in CSVD.
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Affiliation(s)
- Jiaxing Wang
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Youmeng Wang
- Department of Neurology, Fuyang People's Hospital, Fuyang, China
| | - Xiuying Cai
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wei Xia
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Suzhou, China.
| | - Juehua Zhu
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
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9
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Deasy L, Laurent-Chabalier S, Wacongne A, Parvu T, Mura T, Thouvenot E, Renard D. Diagnostic Accuracy of Posterior/Anterior Periventricular WMH Ratio to Differentiate CAA From Hypertensive Arteriopathy. Stroke 2024; 55:2086-2093. [PMID: 38920025 DOI: 10.1161/strokeaha.123.046379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/11/2024] [Indexed: 06/27/2024]
Abstract
BACKGROUND Periventricular white matter hyperintensities (PVWMHs) in cerebral amyloid angiopathy (CAA) have been reported posterior predominant using semiautomated segmentation method and logarithmic transformation. We aimed to compare PVWMH extent and posterior/anterior distribution between patients with CAA and patients with hypertensive arteriopathy with radiological tools available in daily practice. METHODS We retrospectively analyzed confluent PVWMH directly adjacent to lateral ventricles on axial FLAIR (fluid-attenuated inversion recovery) from 108 patients with CAA and 99 patients with hypertensive arteriopathy presenting with hemorrhage-related symptoms consecutively recruited in our stroke database (Nîmes University Hospital, France) between January 2015 and March 2022. For each of the left (L), right (R), anterior (A), and posterior (P) horns of lateral ventricles, the maximal distance between the outer PVWMH border and ventricle border was measured. The sum of anterior left PVWMH and anterior right PVWMH, and posterior left PVWMH and posterior right PVWMH resulted in anterior and posterior extent, respectively. RESULTS Compared with hypertensive arteriopathy, patients with CAA were older (median, 77 versus 71; P=0.0010) and less frequently male (46% versus 64%; P=0.012) and had less frequent hypertension (45% versus 63%; P=0.013) and more chronic hemorrhages (P<0.0001). CAA showed slightly more extensive anterior right PVWMH (median, 6.50 versus 5.90 mm; P=0.034), far more extensive (all P<0.0001) posterior left PVWMH (median, 13.95 versus 6.95 mm), posterior right PVWMH (median, 14.15 versus 5.45 mm), posterior (median, 27.95 versus 13.00 mm), and total (median, 39.60 versus 24.65 mm) PVWMH, and higher posterior/anterior ratios (median, 1.82 versus 1.01). Age-/sex-adjusted model predicting CAA incorporating total PVWMH extent and posterior/anterior ratios for the given score (-4.3683+0.0268×PVWMH-T+0.3749×posterior/anterior PVWMH ratio+0.0394×age+0.3046 when female) showed highest area under the curve (0.76 [0.70-0.83]), with a 72% [62.50-80.99] sensitivity and 76% [67.18-84.12] specificity. Values above the optimal threshold of 0.22 for the score showed a crude relative risk of 2.75 (2.26-2.37; P<0.0001). CONCLUSIONS Severe posterior PVWMH and high posterior/anterior PVWMH ratio assessed by radiological tools used in daily practice are associated with probable CAA versus hypertensive arteriopathy. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT05486897.
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Affiliation(s)
- Louise Deasy
- Department of Neurology (L.D., A.W., T.P., E.T., D.R.), CHU Nîmes, Université de Montpellier, France
| | - Sabine Laurent-Chabalier
- Department of Biostatistics, Clinical Epidemiology, Public Health, and Innovation in Methodology (S.L.-C., T.M.), CHU Nîmes, Université de Montpellier, France
| | - Anne Wacongne
- Department of Neurology (L.D., A.W., T.P., E.T., D.R.), CHU Nîmes, Université de Montpellier, France
| | - Teodora Parvu
- Department of Neurology (L.D., A.W., T.P., E.T., D.R.), CHU Nîmes, Université de Montpellier, France
| | - Thibault Mura
- Department of Biostatistics, Clinical Epidemiology, Public Health, and Innovation in Methodology (S.L.-C., T.M.), CHU Nîmes, Université de Montpellier, France
| | - Eric Thouvenot
- Department of Neurology (L.D., A.W., T.P., E.T., D.R.), CHU Nîmes, Université de Montpellier, France
- Institut de Génomique Fonctionnelle, Centre National de la Recherche Scientifique (CNRS) Unité Mixte de Recherche (UMR) 5203, Institut National de la Santé et de la Recherche Médicale (INSERM) 1191, Université de Montpellier, France (E.T.)
| | - Dimitri Renard
- Department of Neurology (L.D., A.W., T.P., E.T., D.R.), CHU Nîmes, Université de Montpellier, France
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10
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Anderson ME, Wind EJ, Robison LS. Exploring the neuroprotective role of physical activity in cerebral small vessel disease. Brain Res 2024; 1833:148884. [PMID: 38527712 PMCID: PMC12046637 DOI: 10.1016/j.brainres.2024.148884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Cerebral small vessel disease (cSVD) is a common neurological finding characterized by abnormalities of the small blood vessels in the brain. Previous research has established a strong connection between cSVD and stroke, as well as neurodegenerative disorders, notably Alzheimer's disease (AD) and other dementias. As the search for effective interventions continues, physical activity (PA) has emerged as a potential preventative and therapeutic avenue. This review synthesizes the human and animal literature on the influence of PA on cSVD, highlighting the importance of determining optimal exercise protocols, considering aspects such as intensity, duration, timing, and exercise type. Furthermore, the necessity of widening the age bracket in research samples is discussed, ensuring a holistic understanding of the interventions across varying pathological stages of the disease. The review also suggests the potential of exploring diverse biomarkers and risk profiles associated with clinically significant outcomes. Moreover, we review findings demonstrating the beneficial effects of PA in various rodent models of cSVD, which have uncovered numerous mechanisms of neuroprotection, including increases in neuroplasticity and integrity of the vasculature and white matter; decreases in inflammation, oxidative stress, and mitochondrial dysfunction; and alterations in amyloid processing and neurotransmitter signaling. In conclusion, this review highlights the potential of physical activity as a preventive strategy for addressing cSVD, offering insights into the need for refining exercise parameters, diversifying research populations, and exploring novel biomarkers, while shedding light on the intricate mechanisms through which exercise confers neuroprotection in both humans and animal models.
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Affiliation(s)
- Maria E Anderson
- Department of Psychology, Family, and Justice Studies, University of Saint Joseph, 1678 Asylum Ave, West Hartford, CT 06117, USA
| | - Eleanor J Wind
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA
| | - Lisa S Robison
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA.
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11
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Zhang J, Chen H, Wang J, Huang Q, Xu X, Wang W, Xu W, Guan Y, Liu J, Wardlaw JM, Deng Y, Xie F, Li B. Linking white matter hyperintensities to regional cortical thinning, amyloid deposition, and synaptic density loss in Alzheimer's disease. Alzheimers Dement 2024; 20:3931-3942. [PMID: 38648354 PMCID: PMC11180938 DOI: 10.1002/alz.13845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/16/2024] [Accepted: 03/21/2024] [Indexed: 04/25/2024]
Abstract
INTRODUCTION We investigated the association between white matter hyperintensities (WMH) and regional cortical thickness, amyloid and tau deposition, and synaptic density in the WMH-connected cortex using multimodal images. METHODS We included 107 participants (59 with Alzheimer's disease [AD]; 27 with mild cognitive impairment; 21 cognitively normal controls) with amyloid beta (Aβ) positivity on amyloid positron emission tomography (PET). The cortex connected to WMH was identified using probabilistic tractography. RESULTS We found that WMH connected to the cortex with more severe regional degeneration as measured by cortical thickness, Aβ and tau deposition, and synaptic vesicle glycoprotein 2 A (SV2A) density using 18F-SynVesT-1 PET. In addition, higher ratios of Aβ in the deep WMH-connected versus WMH-unconnected cortex were significantly related to lower cognitive scores. Last, the cortical thickness of WMH-connected cortex reduced more than WMH-unconnected cortex over 12 months. DISCUSSION Our results suggest that WMH may be associated with AD-intrinsic processes of degeneration, in addition to vascular mechanisms. HIGHLIGHTS We studied white matter hyperintensities (WMHs) and WMH-connected cortical changes. WMHs are associated with more severe regional cortical degeneration. Findings suggest WMHs may be associated with Alzheimer's disease-intrinsic processes of degeneration.
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Affiliation(s)
- Junfang Zhang
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
- Clinical Neuroscience CenterRuijin Hospital LuWan BranchShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Haijuan Chen
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
- Clinical Neuroscience CenterRuijin Hospital LuWan BranchShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jie Wang
- PET CenterHuashan HospitalFudan UniversityShanghaiChina
| | - Qi Huang
- PET CenterHuashan HospitalFudan UniversityShanghaiChina
| | - Xiaomeng Xu
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Wenjing Wang
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Wei Xu
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yihui Guan
- PET CenterHuashan HospitalFudan UniversityShanghaiChina
| | - Jun Liu
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Joanna M Wardlaw
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- UK Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Yulei Deng
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
- Clinical Neuroscience CenterRuijin Hospital LuWan BranchShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Fang Xie
- PET CenterHuashan HospitalFudan UniversityShanghaiChina
| | - Binyin Li
- Department of Neurology & Institute of NeurologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghaiChina
- Clinical Neuroscience CenterRuijin Hospital LuWan BranchShanghai Jiao Tong University School of MedicineShanghaiChina
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12
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Xhima K, Ottoy J, Gibson E, Zukotynski K, Scott C, Feliciano GJ, Adamo S, Kuo PH, Borrie MJ, Chertkow H, Frayne R, Laforce R, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Sossi V, Thiel A, Soucy J, Tardif J, Goubran M, Black SE, Ramirez J. Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology. Alzheimers Dement 2024; 20:3687-3695. [PMID: 38574400 PMCID: PMC11095424 DOI: 10.1002/alz.13791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/22/2024] [Accepted: 02/09/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION Cerebral small vessel disease (SVD) and amyloid beta (Aβ) pathology frequently co-exist. The impact of concurrent pathology on the pattern of hippocampal atrophy, a key substrate of memory impacted early and extensively in dementia, remains poorly understood. METHODS In a unique cohort of mixed Alzheimer's disease and moderate-severe SVD, we examined whether total and regional neuroimaging measures of SVD, white matter hyperintensities (WMH), and Aβ, as assessed by 18F-AV45 positron emission tomography, exert additive or synergistic effects on hippocampal volume and shape. RESULTS Frontal WMH, occipital WMH, and Aβ were independently associated with smaller hippocampal volume. Frontal WMH had a spatially distinct impact on hippocampal shape relative to Aβ. In contrast, hippocampal shape alterations associated with occipital WMH spatially overlapped with Aβ-vulnerable subregions. DISCUSSION Hippocampal degeneration is differentially sensitive to SVD and Aβ pathology. The pattern of hippocampal atrophy could serve as a disease-specific biomarker, and thus guide clinical diagnosis and individualized treatment strategies for mixed dementia.
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Affiliation(s)
- Kristiana Xhima
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Julie Ottoy
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Erin Gibson
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Katherine Zukotynski
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Departments of Medicine and RadiologyMcMaster UniversityHamiltonOntarioCanada
- Department of Medical ImagingSchulich School of Medicine and Dentistry, Western UniversityLondonOntarioCanada
| | - Christopher Scott
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Ginelle J. Feliciano
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Sabrina Adamo
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
| | - Phillip H. Kuo
- Departments of Medical Imaging, Medicine, Biomedical EngineeringUniversity of ArizonaTucsonArizonaUSA
| | - Michael J. Borrie
- Schulich School of Medicine and DentistryWestern UniversityLondonOntarioCanada
| | - Howard Chertkow
- Rotman Research InstituteBaycrest Health SciencesTorontoOntarioCanada
| | - Richard Frayne
- Departments of Radiology and Clinical NeuroscienceHotchkiss Brain Institute, University of CalgaryCalgaryAlbertaCanada
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences NeurologiquesUniversité Laval, Quebec CityQuebecCanada
| | - Michael D. Noseworthy
- Departments of Medicine and RadiologyMcMaster UniversityHamiltonOntarioCanada
- Department of Electrical and Computer EngineeringMcMaster UniversityHamiltonOntarioCanada
| | - Frank S. Prato
- Schulich School of Medicine and DentistryWestern UniversityLondonOntarioCanada
| | | | - Eric E. Smith
- Department of Clinical Neurosciences and Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Vesna Sossi
- Physics and Astronomy Department and DM Center for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Alexander Thiel
- Department of Neurology and NeurosurgeryMcGill UniversityMontrealQuebecCanada
| | - Jean‐Paul Soucy
- Montreal Neurological InstituteMcGill UniversityMontrealQuebecCanada
| | | | - Maged Goubran
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
- Physical Sciences Platform, Sunnybrook Research InstituteUniversity of TorontoTorontoOntarioCanada
| | - Sandra E. Black
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
- Division of NeurologyDepartment of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Joel Ramirez
- Dr. Sandra E. Black Centre for Brain Resilience and RecoveryLC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of TorontoTorontoOntarioCanada
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Biesbroek JM, Coenen M, DeCarli C, Fletcher EM, Maillard PM, Barkhof F, Barnes J, Benke T, Chen CPLH, Dal‐Bianco P, Dewenter A, Duering M, Enzinger C, Ewers M, Exalto LG, Franzmeier N, Hilal S, Hofer E, Koek HL, Maier AB, McCreary CR, Papma JM, Paterson RW, Pijnenburg YAL, Rubinski A, Schmidt R, Schott JM, Slattery CF, Smith EE, Sudre CH, Steketee RME, Teunissen CE, van den Berg E, van der Flier WM, Venketasubramanian N, Venkatraghavan V, Vernooij MW, Wolters FJ, Xin X, Kuijf HJ, Biessels GJ. Amyloid pathology and vascular risk are associated with distinct patterns of cerebral white matter hyperintensities: A multicenter study in 3132 memory clinic patients. Alzheimers Dement 2024; 20:2980-2989. [PMID: 38477469 PMCID: PMC11032573 DOI: 10.1002/alz.13765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION White matter hyperintensities (WMH) are associated with key dementia etiologies, in particular arteriolosclerosis and amyloid pathology. We aimed to identify WMH locations associated with vascular risk or cerebral amyloid-β1-42 (Aβ42)-positive status. METHODS Individual patient data (n = 3,132; mean age 71.5 ± 9 years; 49.3% female) from 11 memory clinic cohorts were harmonized. WMH volumes in 28 regions were related to a vascular risk compound score (VRCS) and Aß42 status (based on cerebrospinal fluid or amyloid positron emission tomography), correcting for age, sex, study site, and total WMH volume. RESULTS VRCS was associated with WMH in anterior/superior corona radiata (B = 0.034/0.038, p < 0.001), external capsule (B = 0.052, p < 0.001), and middle cerebellar peduncle (B = 0.067, p < 0.001), and Aß42-positive status with WMH in posterior thalamic radiation (B = 0.097, p < 0.001) and splenium (B = 0.103, p < 0.001). DISCUSSION Vascular risk factors and Aß42 pathology have distinct signature WMH patterns. This regional vulnerability may incite future studies into how arteriolosclerosis and Aß42 pathology affect the brain's white matter. HIGHLIGHTS Key dementia etiologies may be associated with specific patterns of white matter hyperintensities (WMH). We related WMH locations to vascular risk and cerebral Aβ42 status in 11 memory clinic cohorts. Aβ42 positive status was associated with posterior WMH in splenium and posterior thalamic radiation. Vascular risk was associated with anterior and infratentorial WMH. Amyloid pathology and vascular risk have distinct signature WMH patterns.
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14
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da Silva SP, de Castro CCM, Rabelo LN, Engelberth RC, Fernández-Calvo B, Fiuza FP. Neuropathological and sociodemographic factors associated with the cortical amyloid load in aging and Alzheimer's disease. GeroScience 2024; 46:621-643. [PMID: 37870702 PMCID: PMC10828279 DOI: 10.1007/s11357-023-00982-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/10/2023] [Indexed: 10/24/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of dementia and is characterized by a progressive decline in cognitive abilities. A pathological hallmark of AD is a region-specific accumulation of the amyloid-beta protein (Aβ). Here, we explored the association between regional Aβ deposition, sociodemographic, and local biochemical factors. We quantified the Aβ burden in postmortem cortical samples from parietal (PCx) and temporal (TCx) regions of 27 cognitively unimpaired (CU) and 15 AD donors, aged 78-100 + years. Histological images of Aβ immunohistochemistry and local concentrations of pathological and inflammatory proteins were obtained at the "Aging, Dementia and TBI Study" open database. We used the area fraction fractionator stereological methodology to quantify the Aβ burden in the gray and white matter within each cortical region. We found higher Aβ burdens in the TCx of AD octogenarians compared to CU ones. We also found higher Aβ loads in the PCx of AD nonagenarians than in AD octogenarians. Moreover, AD women exhibited increased Aβ deposition compared to CU women. Interestingly, we observed a negative correlation between education years and Aβ burden in the white matter of both cortices in CU samples. In AD brains, the Aβ40, Aβ42, and pTau181 isoforms of Aβ and Tau proteins were positively correlated with the Aβ burden. Additionally, in the TCx of AD donors, the proinflammatory cytokine TNFα showed a positive correlation with the Aβ load. These novel findings contribute to understanding the interplay between sociodemographic characteristics, local inflammatory signaling, and the development of AD-related pathology in the cerebral cortex.
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Affiliation(s)
- Sayonara P da Silva
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, RN, 59280-000, Brazil
| | - Carla C M de Castro
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, RN, 59280-000, Brazil
| | - Lívia N Rabelo
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, RN, 59280-000, Brazil
- Laboratory of Neurochemical Studies, Department of Physiology and Behavior, Biosciences Center, Federal University of Rio Grande Do Norte, Natal, Brazil
| | - Rovena C Engelberth
- Laboratory of Neurochemical Studies, Department of Physiology and Behavior, Biosciences Center, Federal University of Rio Grande Do Norte, Natal, Brazil
| | - Bernardino Fernández-Calvo
- Department of Psychology, University of Córdoba, Córdoba, Spain
- Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Reina Sofia University Hospital, Córdoba, Spain
- Department of Psychology, Federal University of Paraíba, João Pessoa, Brazil
| | - Felipe P Fiuza
- Graduate Program in Neuroengineering, Edmond and Lily Safra International Institute of Neuroscience, Santos Dumont Institute, Macaíba, RN, 59280-000, Brazil.
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15
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Sánchez‐Moreno B, Zhang L, Mateo G, Moldenhauer F, Brudfors M, Ashburner J, Nachev P, de Asúa DR, Strange BA. Voxel-based dysconnectomic brain morphometry with computed tomography in Down syndrome. Ann Clin Transl Neurol 2024; 11:143-155. [PMID: 38158639 PMCID: PMC10791030 DOI: 10.1002/acn3.51940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/23/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) is a major health concern for aging adults with Down syndrome (DS), but conventional diagnostic techniques are less reliable in those with severe baseline disability. Likewise, acquisition of magnetic resonance imaging to evaluate cerebral atrophy is not straightforward, as prolonged scanning times are less tolerated in this population. Computed tomography (CT) scans can be obtained faster, but poor contrast resolution limits its function for morphometric analysis. We implemented an automated analysis of CT scans to characterize differences across dementia stages in a cross-sectional study of an adult DS cohort. METHODS CT scans of 98 individuals were analyzed using an automatic algorithm. Voxel-based correlations with clinical dementia stages and AD plasma biomarkers (phosphorylated tau-181 and neurofilament light chain) were identified, and their dysconnectomic patterns delineated. RESULTS Dementia severity was negatively correlated with gray (GM) and white matter (WM) volumes in temporal lobe regions, including parahippocampal gyri. Dysconnectome analysis revealed an association between WM loss and temporal lobe GM volume reduction. AD biomarkers were negatively associated with GM volume in hippocampal and cingulate gyri. INTERPRETATION Our automated algorithm and novel dysconnectomic analysis of CT scans successfully described brain morphometric differences related to AD in adults with DS, providing a new avenue for neuroimaging analysis in populations for whom magnetic resonance imaging is difficult to obtain.
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Affiliation(s)
- Beatriz Sánchez‐Moreno
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Linda Zhang
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
| | - Gloria Mateo
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Fernando Moldenhauer
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Mikael Brudfors
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - John Ashburner
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - Parashkev Nachev
- High‐Dimensional Neurology GroupUniversity College London Queen Square Institute of NeurologyLondonUK
| | - Diego Real de Asúa
- Adult Down Syndrome Unit, Department of Internal MedicineHospital Universitario de La PrincesaMadridSpain
| | - Bryan A. Strange
- Alzheimer Disease Research UnitCIEN Foundation, Queen Sofia Foundation Alzheimer CentreMadridSpain
- Laboratory for Clinical NeuroscienceCTB, Universidad Politécnica de MadridMadridSpain
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16
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Wheeler KV, Irimia A, Braskie MN. Using Neuroimaging to Study Cerebral Amyloid Angiopathy and Its Relationship to Alzheimer's Disease. J Alzheimers Dis 2024; 97:1479-1502. [PMID: 38306032 DOI: 10.3233/jad-230553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Cerebral amyloid angiopathy (CAA) is characterized by amyloid-β aggregation in the media and adventitia of the leptomeningeal and cortical blood vessels. CAA is one of the strongest vascular contributors to Alzheimer's disease (AD). It frequently co-occurs in AD patients, but the relationship between CAA and AD is incompletely understood. CAA may drive AD risk through damage to the neurovascular unit and accelerate parenchymal amyloid and tau deposition. Conversely, early AD may also drive CAA through cerebrovascular remodeling that impairs blood vessels from clearing amyloid-β. Sole reliance on autopsy examination to study CAA limits researchers' ability to investigate CAA's natural disease course and the effect of CAA on cognitive decline. Neuroimaging allows for in vivo assessment of brain function and structure and can be leveraged to investigate CAA staging and explore its associations with AD. In this review, we will discuss neuroimaging modalities that can be used to investigate markers associated with CAA that may impact AD vulnerability including hemorrhages and microbleeds, blood-brain barrier permeability disruption, reduced cerebral blood flow, amyloid and tau accumulation, white matter tract disruption, reduced cerebrovascular reactivity, and lowered brain glucose metabolism. We present possible areas for research inquiry to advance biomarker discovery and improve diagnostics.
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Affiliation(s)
- Koral V Wheeler
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina Del Rey, CA, USA
| | - Andrei Irimia
- Ethel Percy Andrus Gerontology Center, USC Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Biomedical Engineering, Corwin D. Denney Research Center, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Meredith N Braskie
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina Del Rey, CA, USA
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17
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Sin MK, Zamrini E, Ahmed A, Nho K, Hajjar I. Anti-Amyloid Therapy, AD, and ARIA: Untangling the Role of CAA. J Clin Med 2023; 12:6792. [PMID: 37959255 PMCID: PMC10647766 DOI: 10.3390/jcm12216792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/22/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Anti-amyloid therapies (AATs), such as anti-amyloid monoclonal antibodies, are emerging treatments for people with early Alzheimer's disease (AD). AATs target amyloid β plaques in the brain. Amyloid-related imaging abnormalities (ARIA), abnormal signals seen on magnetic resonance imaging (MRI) of the brain in patients with AD, may occur spontaneously but occur more frequently as side effects of AATs. Cerebral amyloid angiopathy (CAA) is a major risk factor for ARIA. Amyloid β plays a key role in the pathogenesis of AD and of CAA. Amyloid β accumulation in the brain parenchyma as plaques is a pathological hallmark of AD, whereas amyloid β accumulation in cerebral vessels leads to CAA. A better understanding of the pathophysiology of ARIA is necessary for early detection of those at highest risk. This could lead to improved risk stratification and the ultimate reduction of symptomatic ARIA. Histopathological confirmation of CAA by brain biopsy or autopsy is the gold standard but is not clinically feasible. MRI is an available in vivo tool for detecting CAA. Cerebrospinal fluid amyloid β level testing and amyloid PET imaging are available but do not offer specificity for CAA vs amyloid plaques in AD. Thus, developing and testing biomarkers as reliable and sensitive screening tools for the presence and severity of CAA is a priority to minimize ARIA complications.
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Affiliation(s)
- Mo-Kyung Sin
- College of Nursing, Seattle University, Seattle, WA 98122, USA
| | | | - Ali Ahmed
- VA Medical Center, Washington, DC 20242, USA;
| | - Kwangsik Nho
- School of Medicine, Indianna University, Indianapolis, IN 46202, USA;
| | - Ihab Hajjar
- School of Medicine, University of Texas Southwestern, Dallas, TX 75390, USA;
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18
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Matsuda K, Shinohara M, Ii Y, Tabei KI, Ueda Y, Nakamura N, Hirata Y, Ishikawa H, Matsuyama H, Matsuura K, Satoh M, Maeda M, Momosaki R, Tomimoto H, Shindo A. Magnetic resonance imaging and neuropsychological findings for predicting of cognitive deterioration in memory clinic patients. Front Aging Neurosci 2023; 15:1155122. [PMID: 37600513 PMCID: PMC10435295 DOI: 10.3389/fnagi.2023.1155122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/29/2023] [Indexed: 08/22/2023] Open
Abstract
Objective The severity of cerebral small vessel disease (SVD) on magnetic resonance imaging (MRI) has been assessed using hypertensive arteriopathy SVD and cerebral amyloid angiopathy (CAA)-SVD scores. In addition, we reported the modified CAA-SVD score including cortical microinfarcts and posterior dominant white matter hyperintensity. Each SVD score has been associated with cognitive function, but the longitudinal changes remain unclear. Therefore, this study prospectively examined the prognostic value of each SVD score, imaging findings of cerebral SVD, and neuropsychological assessment. Methods This study included 29 patients diagnosed with mild cognitive impairment or mild dementia at memory clinic in our hospital, who underwent clinical dementia rating (CDR) and brain MRI (3D-fluid attenuated inversion recovery, 3D-double inversion recovery, and susceptibility-weighted imaging) at baseline and 1 year later. Each SVD score and neuropsychological tests including the Mini-Mental State Examination, Japanese Raven's Colored Progressive Matrices, Trail Making Test -A/-B, and the Rivermead Behavioral Memory Test were evaluated at baseline and 1 year later. Results Twenty patients had unchanged CDR (group A), while nine patients had worsened CDR (group B) after 1 year. At baseline, there was no significant difference in each SVD score; after 1 year, group B had significantly increased CAA-SVD and modified CAA-SVD scores. Group B also showed a significantly higher number of lobar microbleeds than group A at baseline. Furthermore, group B had significantly longer Japanese Raven's Colored Progressive Matrices and Trail Making test-A times at baseline. After 1 year, group B had significantly lower Mini-Mental State Examination, Japanese Raven's Colored Progressive Matrices, and Rivermead Behavioral Memory Test scores and significantly fewer word fluency (letters). Conclusion Patients with worsened CDR 1 year after had a higher number of lobar microbleeds and prolonged psychomotor speed at baseline. These findings may become predictors of cognitive deterioration in patients who visit memory clinics.
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Affiliation(s)
- Kana Matsuda
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Tsu, Japan
| | - Masaki Shinohara
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Ken-ichi Tabei
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Yukito Ueda
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Naoko Nakamura
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Yoshinori Hirata
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hirofumi Matsuyama
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Keita Matsuura
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Masayuki Satoh
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Ryo Momosaki
- Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Akihiro Shindo
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Tsu, Japan
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
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19
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Inoue Y, Shue F, Bu G, Kanekiyo T. Pathophysiology and probable etiology of cerebral small vessel disease in vascular dementia and Alzheimer's disease. Mol Neurodegener 2023; 18:46. [PMID: 37434208 PMCID: PMC10334598 DOI: 10.1186/s13024-023-00640-5] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/13/2023] Open
Abstract
Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. Severe VCID includes post-stroke dementia, subcortical ischemic vascular dementia, multi-infarct dementia, and mixed dementia. While VCID is acknowledged as the second most common form of dementia after Alzheimer's disease (AD) accounting for 20% of dementia cases, VCID and AD frequently coexist. In VCID, cerebral small vessel disease (cSVD) often affects arterioles, capillaries, and venules, where arteriolosclerosis and cerebral amyloid angiopathy (CAA) are major pathologies. White matter hyperintensities, recent small subcortical infarcts, lacunes of presumed vascular origin, enlarged perivascular space, microbleeds, and brain atrophy are neuroimaging hallmarks of cSVD. The current primary approach to cSVD treatment is to control vascular risk factors such as hypertension, dyslipidemia, diabetes, and smoking. However, causal therapeutic strategies have not been established partly due to the heterogeneous pathogenesis of cSVD. In this review, we summarize the pathophysiology of cSVD and discuss the probable etiological pathways by focusing on hypoperfusion/hypoxia, blood-brain barriers (BBB) dysregulation, brain fluid drainage disturbances, and vascular inflammation to define potential diagnostic and therapeutic targets for cSVD.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Francis Shue
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
| | - Guojun Bu
- SciNeuro Pharmaceuticals, Rockville, MD 20850 USA
| | - Takahisa Kanekiyo
- Department of Neuroscience, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224 USA
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20
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Jolink WMT, van Veluw SJ, Zwanenburg JJM, Rozemuller AJM, van Hecke W, Frosch MP, Bacskai BJ, Rinkel GJE, Greenberg SM, Klijn CJM. Histopathology of Cerebral Microinfarcts and Microbleeds in Spontaneous Intracerebral Hemorrhage. Transl Stroke Res 2023; 14:174-184. [PMID: 35384634 PMCID: PMC9995541 DOI: 10.1007/s12975-022-01016-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 03/21/2022] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
In patients with spontaneous intracerebral hemorrhage caused by different vasculopathies, cerebral microinfarcts have the same aspect on MRI and the same applies to cerebral microbleeds. It is unclear what pathological changes underlie these cerebral microinfarcts and cerebral microbleeds. In the current study, we explored the histopathological substrate of these lesions by investigating the brain tissue of 20 patients (median age at death 77 years) who died from ICH (9 lobar, 11 non-lobar) with a combination of post-mortem 7-T MRI and histopathological analysis. We identified 132 CMIs and 204 CMBs in 15 patients on MRI, with higher numbers of CMIs in lobar ICH patients and similar numbers of CMBs. On histopathology, CMIs and CMBs were in lobar ICH more often located in the superficial than in the deep layers of the cortex, and in non-lobar ICH more often in the deeper layers. We found a tendency towards more severe CAA scores in lobar ICH patients. Other histopathological characteristics were comparable between lobar and non-lobar ICH patients. Although CMIs and CMBs were found in different segments of the cortex in lobar ICH compared to non-lobar ICH patients, otherwise similar histopathological features of cortical CMIs and CMBs distant from the ICH suggest shared pathophysiological mechanisms in lobar and non-lobar ICH caused by different vasculopathies.
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Affiliation(s)
- Wilmar M T Jolink
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
- Department of Neurology, Isala Hospital, Zwolle, The Netherlands.
| | - Susanne J van Veluw
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jaco J M Zwanenburg
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wim van Hecke
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Matthew P Frosch
- Neuropathology Service, C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brian J Bacskai
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Gabriël J E Rinkel
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - Steven M Greenberg
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Catharina J M Klijn
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, G03.129, PO Box 85500, 3508 GA, Utrecht, The Netherlands
- Department of Neurology, Donders Institute for Brain,Cognition and Behaviour, Centre for Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
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21
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Piredda GF, Caneschi S, Hilbert T, Bonanno G, Joseph A, Egger K, Peter J, Klöppel S, Jehli E, Grieder M, Slotboom J, Seiffge D, Goeldlin M, Hoepner R, Willems T, Vulliemoz S, Seeck M, Venkategowda PB, Corredor Jerez RA, Maréchal B, Thiran JP, Wiest R, Kober T, Radojewski P. Submillimeter T 1 atlas for subject-specific abnormality detection at 7T. Magn Reson Med 2023; 89:1601-1616. [PMID: 36478417 DOI: 10.1002/mrm.29540] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/14/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE Studies at 3T have shown that T1 relaxometry enables characterization of brain tissues at the single-subject level by comparing individual physical properties to a normative atlas. In this work, an atlas of normative T1 values at 7T is introduced with 0.6 mm isotropic resolution and its clinical potential is explored in comparison to 3T. METHODS T1 maps were acquired in two separate healthy cohorts scanned at 3T and 7T. Using transfer learning, a template-based brain segmentation algorithm was adapted to ultra-high field imaging data. After segmenting brain tissues, volumes were normalized into a common space, and an atlas of normative T1 values was established by modeling the T1 inter-subject variability. A method for single-subject comparisons restricted to white matter and subcortical structures was developed by computing Z-scores. The comparison was applied to eight patients scanned at both field strengths for proof of concept. RESULTS The proposed method for morphometry delivered segmentation masks without statistically significant differences from those derived with the original pipeline at 3T and achieved accurate segmentation at 7T. The established normative atlas allowed characterizing tissue alterations in single-subject comparisons at 7T, and showed greater anatomical details compared with 3T results. CONCLUSION A high-resolution quantitative atlas with an adapted pipeline was introduced and validated. Several case studies on different clinical conditions showed the feasibility, potential and limitations of high-resolution single-subject comparisons based on quantitative MRI atlases. This method in conjunction with 7T higher resolution broadens the range of potential applications of quantitative MRI in clinical practice.
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Affiliation(s)
- Gian Franco Piredda
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland.,CIBM-AIT, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Samuele Caneschi
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tom Hilbert
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Gabriele Bonanno
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland.,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Arun Joseph
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland.,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Karl Egger
- Department of Neuroradiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jessica Peter
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Elisabeth Jehli
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.,Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland
| | - Matthias Grieder
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - David Seiffge
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Martina Goeldlin
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Tom Willems
- Institute of Psychology, University of Bern, Bern, Switzerland
| | - Serge Vulliemoz
- EEG and Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Margitta Seeck
- EEG and Epilepsy Unit, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | | | - Ricardo A Corredor Jerez
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jean-Philippe Thiran
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Roland Wiest
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.,Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Piotr Radojewski
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.,Support Center for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
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22
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Shinohara M, Matsuda K, Ii Y, Tabei KI, Nakamura N, Hirata Y, Ishikawa H, Matsuyama H, Matsuura K, Maeda M, Tomimoto H, Shindo A. Association between behavioral and psychological symptoms and cerebral small vessel disease MRI findings in memory clinic patients. Front Aging Neurosci 2023; 15:1143834. [PMID: 37032819 PMCID: PMC10079999 DOI: 10.3389/fnagi.2023.1143834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/08/2023] [Indexed: 04/11/2023] Open
Abstract
Objectives Cerebral small vessel disease (SVD) is commonly observed among elderly individuals with cognitive impairment and has been recognized as a vascular contributor to dementia and behavioral and psychological symptoms (BPS), however, the relationship between BPS and SVD burden remains unclear. Methods We prospectively recruited 42 patients with mild cognitive impairment (MCI) or mild dementia from the memory clinic in our hospital, who were assigned to either a clinical dementia rating (CDR) of 0.5 or 1.0, respectively. The presence of BPS was determined through interviews with caregivers. The patients underwent brain MRI and three types of SVD scores, total, cerebral amyloid angiopathy (CAA), and modified CAA, were assigned. Patients were also evaluated through various neuropsychological assessments. Results The CDR was significantly higher in patients with BPS (p = 0.001). The use of antihypertensive agents was significantly higher in patients without BPS (p = 0.038). The time taken to complete trail making test set-A was also significantly longer in patients with BPS (p = 0.037). There was no significant difference in total SVD and CAA-SVD score (p = 0.745, and 0.096) and the modified CAA-SVD score was significantly higher in patients with BPS (p = 0.046). In addition, the number of total CMBs and lobar CMBs was significantly higher in patients with BPS (p = 0.001 and 0.001). Receiver operating characteristic curves for BPS showed that for modified CAA-SVD, a cutoff score of 3.5 showed 46.7% sensitivity and 81.5% specificity. Meanwhile, for the total number of cerebral microbleeds (CMBs), a cut-off score of 2.5 showed 80.0% sensitivity and 77.8% specificity and for the number of lobar CMBs, a cut-off score of 2.5 showed 73.3% sensitivity and 77.8% specificity. Conclusion Overall, patients with BPS showed worse CDRs, reduced psychomotor speed, higher modified CAA-SVD scores, larger numbers of total and lobar CMBs. We propose that severe modified CAA scores and higher numbers of total and lobar CMBs are potential risk factors for BPS in patients with mild dementia or MCI. Therefore, by preventing these MRI lesions, the risk of BPS may be mitigated.
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Affiliation(s)
- Masaki Shinohara
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Kana Matsuda
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Tsu, Japan
| | - Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Ken-ichi Tabei
- School of Industrial Technology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, Japan
| | - Naoko Nakamura
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Yoshinori Hirata
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hirofumi Matsuyama
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Keita Matsuura
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, Tsu, Japan
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Tsu, Japan
- *Correspondence: Akihiro Shindo,
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23
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Zanon Zotin MC, Schoemaker D, Raposo N, Perosa V, Bretzner M, Sveikata L, Li Q, van Veluw SJ, Horn MJ, Etherton MR, Charidimou A, Gurol ME, Greenberg SM, Duering M, dos Santos AC, Pontes-Neto OM, Viswanathan A. Peak width of skeletonized mean diffusivity in cerebral amyloid angiopathy: Spatial signature, cognitive, and neuroimaging associations. Front Neurosci 2022; 16:1051038. [PMID: 36440281 PMCID: PMC9693722 DOI: 10.3389/fnins.2022.1051038] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Purpose Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). Materials and methods We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. Results PSMD was comparable in probable-CAA (median 4.06 × 10–4 mm2/s) and cSVD (4.07 × 10–4 mm2/s) patients, but higher than in non-cSVD (3.30 × 10–4 mm2/s; p < 0.001) subjects. Occipital-frontal PSMD gradients were higher in probable-CAA patients, and we observed a significant interaction between diagnosis and region on PSMD values [F(2, 87) = 3.887, p = 0.024]. PSMD was mainly associated with white matter hyperintensity volume, whereas MD and FA were also associated with other markers, especially with the burden of perivascular spaces. PSMD correlated with worse executive function (β = −0.581, p < 0.001) and processing speed (β = −0.463, p = 0.003), explaining more variance than other MRI markers. MD and FA were not associated with performance in any cognitive domain. Conclusion PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD’s spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.
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Affiliation(s)
- Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- *Correspondence: Maria Clara Zanon Zotin, ,
| | - Dorothee Schoemaker
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Nicolas Raposo
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | | | - Martin Bretzner
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- University of Lille, Inserm, CHU Lille, U1172 - LilNCog (JPARC) - Lille Neurosciences & Cognition, Lille, France
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Qi Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Susanne J. van Veluw
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mitchell J. Horn
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mark R. Etherton
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Andreas Charidimou
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Neurology, Boston University School of Medicine, Boston University Medical Center, Boston, MA, United States
| | - M. Edip Gurol
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Steven M. Greenberg
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Marco Duering
- Department of Biomedical Engineering, Medical Imaging Analysis Center (MIAC), University of Basel, Basel, Switzerland
| | - Antonio Carlos dos Santos
- Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Octavio M. Pontes-Neto
- Department of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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24
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Keuss SE, Coath W, Nicholas JM, Poole T, Barnes J, Cash DM, Lane CA, Parker TD, Keshavan A, Buchanan SM, Wagen AZ, Storey M, Harris M, Malone IB, Sudre CH, Lu K, James SN, Street R, Thomas DL, Dickson JC, Murray-Smith H, Wong A, Freiberger T, Crutch S, Richards M, Fox NC, Schott JM. Associations of β-Amyloid and Vascular Burden With Rates of Neurodegeneration in Cognitively Normal Members of the 1946 British Birth Cohort. Neurology 2022; 99:e129-e141. [PMID: 35410910 PMCID: PMC9280996 DOI: 10.1212/wnl.0000000000200524] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 03/01/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The goals of this work were to quantify the independent and interactive associations of β-amyloid (Aβ) and white matter hyperintensity volume (WMHV), a marker of presumed cerebrovascular disease (CVD), with rates of neurodegeneration and to examine the contributions of APOE ε4 and vascular risk measured at different stages of adulthood in cognitively normal members of the 1946 British Birth Cohort. METHODS Participants underwent brain MRI and florbetapir-Aβ PET as part of Insight 46, an observational population-based study. Changes in whole-brain, ventricular, and hippocampal volume were directly measured from baseline and repeat volumetric T1 MRI with the boundary shift integral. Linear regression was used to test associations with baseline Aβ deposition, baseline WMHV, APOE ε4, and office-based Framingham Heart Study Cardiovascular Risk Score (FHS-CVS) and systolic blood pressure (BP) at ages 36, 53, and 69 years. RESULTS Three hundred forty-six cognitively normal participants (mean [SD] age at baseline scan 70.5 [0.6] years; 48% female) had high-quality T1 MRI data from both time points (mean [SD] scan interval 2.4 [0.2] years). Being Aβ positive at baseline was associated with 0.87-mL/y faster whole-brain atrophy (95% CI 0.03, 1.72), 0.39-mL/y greater ventricular expansion (95% CI 0.16, 0.64), and 0.016-mL/y faster hippocampal atrophy (95% CI 0.004, 0.027), while each 10-mL additional WMHV at baseline was associated with 1.07-mL/y faster whole-brain atrophy (95% CI 0.47, 1.67), 0.31-mL/y greater ventricular expansion (95% CI 0.13, 0.60), and 0.014-mL/y faster hippocampal atrophy (95% CI 0.006, 0.022). These contributions were independent, and there was no evidence that Aβ and WMHV interacted in their effects. There were no independent associations of APOE ε4 with rates of neurodegeneration after adjustment for Aβ status and WMHV, no clear relationships between FHS-CVS or systolic BP and rates of neurodegeneration when assessed across the whole sample, and no evidence that FHS-CVS or systolic BP acted synergistically with Aβ. DISCUSSION Aβ and presumed CVD have distinct and additive effects on rates of neurodegeneration in cognitively normal elderly. These findings have implications for the use of MRI measures as biomarkers of neurodegeneration and emphasize the importance of risk management and early intervention targeting both pathways.
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Affiliation(s)
- Sarah E Keuss
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - William Coath
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jennifer M Nicholas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Teresa Poole
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Josephine Barnes
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David M Cash
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Christopher A Lane
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Thomas D Parker
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ashvini Keshavan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah M Buchanan
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Aaron Z Wagen
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Mathew Storey
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Matthew Harris
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Ian B Malone
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Carole H Sudre
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Kirsty Lu
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sarah-Naomi James
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Rebecca Street
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - David L Thomas
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - John C Dickson
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Heidi Murray-Smith
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Andrew Wong
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Tamar Freiberger
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Sebastian Crutch
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Marcus Richards
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Nick C Fox
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK
| | - Jonathan M Schott
- From the Dementia Research Centre (S.E.K., W.C., J.M.N., T.P., J.B., D.M.C., C.A.L., A.K. S.M.B., A.Z.W., M.S., M.H., I.B.M., C.H.S., K.L., R.S., H.M.-S, T.F., S.C., N.C.F., J.M.S.), Dementia Research Institute (D.M.C., N.C.F.), Leonard Wolfson Experimental Neurology Centre (D.L.T.), and Department of Brain Repair and Neurorehabilitation (D.L.T.), UCL Queen Square Institute of Neurology; Department of Medical Statistics (J.M.N., T.P.), London School of Hygiene and Tropical Medicine; 4. Department of Medicine (T.D.P.), Division of Brain Sciences, Imperial College London; MRC Unit for Lifelong Health and Ageing at UCL (C.H.S., S.-N.J., A.W., M.R.); Centre for Medical Image Computing (C.H.S.), University College London; School of Biomedical Engineering & Imaging Sciences (C.H.S.), King's College London; and Institute of Nuclear Medicine (J.C.D.), University College London Hospitals, UK.
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25
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Lorenzini L, Ansems LT, Lopes Alves I, Ingala S, Vállez García D, Tomassen J, Sudre C, Salvadó G, Shekari M, Operto G, Brugulat-Serrat A, Sánchez-Benavides G, ten Kate M, Tijms B, Wink AM, Mutsaerts HJMM, den Braber A, Visser PJ, van Berckel BNM, Gispert JD, Barkhof F, Collij LE. Regional associations of white matter hyperintensities and early cortical amyloid pathology. Brain Commun 2022; 4:fcac150. [PMID: 35783557 PMCID: PMC9246276 DOI: 10.1093/braincomms/fcac150] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/11/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer's disease. While spatial distribution of both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer's disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language). While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal-precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory. In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and -independent manifestations of WMH-amyloid regional association that might be related to distinct primary pathophysiology.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Loes T Ansems
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Silvia Ingala
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - David Vállez García
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jori Tomassen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Carole Sudre
- Centre for Medical Image Computing (CMIC), Departments of Medical Physics & Biomedical Engineering and Computer Science, University College London, UK
- MRC Unit for Lifelong Health and Ageing - University CollegeLondon, UK
- School of Biomedical Engineering, King’s College LondonUK
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Gregory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
- Atlantic Fellow for Equity in Brain Health at the University of California San Francisco, SanFrancisco, California, USA
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Mara ten Kate
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Henk J M M Mutsaerts
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department. of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Amsterdam, Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Bart N M van Berckel
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales Y Nanomedicina, Madrid, Spain
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Lyduine E Collij
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
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26
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Vemuri P, Decarli CS, Duering M. Imaging Markers of Vascular Brain Health: Quantification, Clinical Implications, and Future Directions. Stroke 2022; 53:416-426. [PMID: 35000423 PMCID: PMC8830603 DOI: 10.1161/strokeaha.120.032611] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Cerebrovascular disease (CVD) manifests through a broad spectrum of mechanisms that negatively impact brain and cognitive health. Oftentimes, CVD changes (excluding acute stroke) are insufficiently considered in aging and dementia studies which can lead to an incomplete picture of the etiologies contributing to the burden of cognitive impairment. Our goal with this focused review is 3-fold. First, we provide a research update on the current magnetic resonance imaging methods that can measure CVD lesions as well as early CVD-related brain injury specifically related to small vessel disease. Second, we discuss the clinical implications and relevance of these CVD imaging markers for cognitive decline, incident dementia, and disease progression in Alzheimer disease, and Alzheimer-related dementias. Finally, we present our perspective on the outlook and challenges that remain in the field. With the increased research interest in this area, we believe that reliable CVD imaging biomarkers for aging and dementia studies are on the horizon.
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Affiliation(s)
| | - Charles S. Decarli
- Departments of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, California, USA
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany
- Medical Image Analysis Center (MIAC AG) and qbig, Department of Biomedical Engineering, University of Basel, Switzerland
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27
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Shoamanesh A, Akoudad S, Himali JJ, Beiser AS, DeCarli C, Seshadri S, Ikram MA, Romero JR, Vernooij MW. Cortical superficial siderosis in the general population: The Framingham Heart and Rotterdam studies. Int J Stroke 2021; 16:798-808. [PMID: 33478376 PMCID: PMC9822782 DOI: 10.1177/1747493020984559] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVE We aimed to characterize cortical superficial siderosis, its determinants and sequel, in community-dwelling older adults. METHODS The sample consisted of Framingham (n = 1724; 2000-2009) and Rotterdam (n = 4325; 2005-2013) study participants who underwent brain MRI. In pooled individual-level analysis, we compared baseline characteristics in patients with cortical superficial siderosis to two reference groups: (i) persons without hemorrhagic MRI markers of cerebral amyloid angiopathy (no cortical superficial siderosis and no microbleeds) and (ii) those with presumed cerebral amyloid angiopathy based on the presence of strictly lobar microbleeds but without cortical superficial siderosis. RESULTS Among a total of 6049 participants, 4846 did not have any microbleeds or cortical superficial siderosis (80%), 401 had deep/mixed microbleeds (6.6%), 776 had strictly lobar microbleeds without cortical superficial siderosis (12.8%) and 26 had cortical superficial siderosis with/without microbleeds (0.43%). In comparison to participants without microbleeds or cortical superficial siderosis and to those with strictly lobar microbleeds but without cortical superficial siderosis, participants with cortical superficial siderosis were older (OR 1.09 per year, 95% CI 1.05, 1.14; p < 0.001 and 1.04, 95% CI 1.00, 1.09; p = 0.058, respectively), had overrepresentation of the APOE ɛ4 allele (5.19, 2.04, 13.25; p = 0.001 and 3.47, 1.35, 8.92; p = 0.01), and greater prevalence of intracerebral hemorrhage (72.57, 9.12, 577.49; p < 0.001 and 81.49, 3.40, >999.99; p = 0.006). During a mean follow-up of 5.6 years, 42.4% participants with cortical superficial siderosis had a stroke (five intracerebral hemorrhage, two ischemic strokes and four undetermined strokes), 19.2% had transient neurological deficits and 3.8% developed incident dementia. CONCLUSION Our study adds supporting evidence to the association between cortical superficial siderosis and cerebral amyloid angiopathy within the general population. Community-dwelling persons with cortical superficial siderosis may be at high risk for intracerebral hemorrhage and future neurological events.
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Affiliation(s)
- Ashkan Shoamanesh
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada,Boston University School of Medicine, Boston, MA, USA
| | | | - Jayandra J. Himali
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Alexa S. Beiser
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Boston University School of Public Health, Boston, MA, USA
| | - Charles DeCarli
- Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, MA, USA,The Framingham Heart Study, Framingham, MA, USA,Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | | | - Jose R Romero
- Boston University School of Medicine, Boston, MA, USA
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Cedres N, Diaz-Galvan P, Diaz-Flores L, Muehlboeck JS, Molina Y, Barroso J, Westman E, Ferreira D. The interplay between gray matter and white matter neurodegeneration in subjective cognitive decline. Aging (Albany NY) 2021; 13:19963-19977. [PMID: 34433132 PMCID: PMC8436909 DOI: 10.18632/aging.203467] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 08/14/2021] [Indexed: 01/10/2023]
Abstract
Aims: To investigate the interplay between gray matter (GM) and white matter (WM) neurodegeneration in subjective cognitive decline (SCD), including thickness across the whole cortical mantle, hippocampal volume, and integrity across the whole WM. Methods: We included 225 cognitively unimpaired individuals from a community-based cohort. Subjective cognitive complaints were assessed through 9 questions covering amnestic and non-amnestic cognitive domains. In our cohort, 123 individuals endorsed from one to six subjective cognitive complaints (i.e. they fulfilled the diagnostic criteria for SCD), while 102 individuals reported zero complaints. GM neurodegeneration was assessed through measures of cortical thickness across the whole mantle and hippocampal volume. WM neurodegeneration was assessed through measures of mean diffusivity (MD) across the whole WM skeleton. Mediation analysis and multiple linear regression were conducted to investigate the interplay between the measures of GM and WM neurodegeneration. Results: A higher number of complaints was associated with reduced hippocampal volume, cortical thinning in several frontal and temporal areas and the insula, and higher MD across the WM skeleton, with a tendency to spare the occipital lobe. SCD-related cortical thinning and increased MD were associated with each other and jointly contributed to complaints, but the contribution of cortical thinning to the number of complaints was stronger. Conclusions: Neurodegeneration processes affecting the GM and WM seem to be associated with each other in SCD and include brain areas other than those typically targeted by Alzheimer’s disease. Our findings suggest that SCD may be a sensitive behavioral marker of heterogeneous brain pathologies in individuals recruited from the community.
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Affiliation(s)
- Nira Cedres
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Psychology, Sensory Cognitive Interaction Laboratory (SCI-lab), Stockholm University, Stockholm, Sweden
| | - Patricia Diaz-Galvan
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden
| | - Yaiza Molina
- Faculty of Health Sciences, University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, Spain
| | - José Barroso
- Faculty of Psychology, University of La Laguna, La Laguna, Tenerife, Spain
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.,Faculty of Psychology, University of La Laguna, La Laguna, Tenerife, Spain
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29
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Park M, Baik K, Lee YG, Kang SW, Jung JH, Jeong SH, Lee PH, Sohn YH, Ye BS. Implication of Small Vessel Disease MRI Markers in Alzheimer's Disease and Lewy Body Disease. J Alzheimers Dis 2021; 83:545-556. [PMID: 34366356 DOI: 10.3233/jad-210669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Small vessel disease (SVD) magnetic resonance imaging (MRI) markers including deep and periventricular white matter hyperintensities (PWMH), lacunes, and microbleeds are frequently observed in Alzheimer's disease (AD) and Lewy body disease (LBD), but their implication has not been clearly elucidated. OBJECTIVE To investigate the implication of SVD MRI markers in cognitively impaired patients with AD and/or LBD. METHODS We consecutively recruited 57 patients with pure AD-related cognitive impairment (ADCI), 49 with pure LBD-related cognitive impairment (LBCI), 45 with mixed ADCI/LBCI, and 34 controls. All participants underwent neuropsychological tests, brain MRI, and amyloid positron emission tomography. SVD MRI markers including the severity of deep and PWMH and the number of lacunes and microbleeds were visually rated. The relationships among vascular risk factors, SVD MRI markers, ADCI, LBCI, and cognitive scores were investigated after controlling for appropriate covariates. RESULTS LBCI was associated with more severe PWMH, which was conversely associated with an increased risk of LBCI independently of vascular risk factors and ADCI. PWMH was associated with attention and visuospatial dysfunction independently of vascular risk factors, ADCI, and LBCI. Both ADCI and LBCI were associated with more lobar microbleeds, but not with deep microbleeds. CONCLUSION Our findings suggest that PWMH could reflect degenerative process related with LBD, and both AD and LBD independently increase lobar microbleeds.
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Affiliation(s)
- Mincheol Park
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyoungwon Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Ho Jung
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seong Ho Jeong
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
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30
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Garnier-Crussard A, Bougacha S, Wirth M, Dautricourt S, Sherif S, Landeau B, Gonneaud J, De Flores R, de la Sayette V, Vivien D, Krolak-Salmon P, Chételat G. White matter hyperintensity topography in Alzheimer's disease and links to cognition. Alzheimers Dement 2021; 18:422-433. [PMID: 34322985 PMCID: PMC9292254 DOI: 10.1002/alz.12410] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 01/18/2023]
Abstract
Introduction White matter hyperintensities (WMH) are often described in Alzheimer's disease (AD), but their topography and specific relationships with cognition remain unclear. Methods Regional WMH were estimated in 54 cognitively impaired amyloid beta–positive AD (Aβpos‐AD), compared to 40 cognitively unimpaired amyloid beta–negative older controls (Aβneg‐controls) matched for vascular risk factors. The cross‐sectional association between regional WMH volume and cognition was assessed within each group, controlling for cerebral amyloid burden, global cortical atrophy, and hippocampal atrophy. Results WMH volume was larger in Aβpos‐AD compared to Aβneg‐controls in all regions, with the greatest changes in the splenium of the corpus callosum (S‐CC). In Aβpos‐AD patients, larger total and regional WMH volume, especially in the S‐CC, was strongly associated with decreased cognition. Discussion WMH specifically contribute to lower cognition in AD, independently from amyloid deposition and atrophy. This study emphasizes the clinical relevance of WMH in AD, especially posterior WMH, and most notably S‐CC WMH.
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Affiliation(s)
- Antoine Garnier-Crussard
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France
| | - Salma Bougacha
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Sophie Dautricourt
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Neurology, CHU de Caen, Caen, France
| | - Siya Sherif
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Brigitte Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Robin De Flores
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Vincent de la Sayette
- Department of Neurology, CHU de Caen, Caen, France.,Normandie Univ, UNICAEN, PSL Université, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, NIMH, Caen, France
| | - Denis Vivien
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Clinical Research, CHU de Caen, Caen, France
| | - Pierre Krolak-Salmon
- Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France.,Neuroscience Research Centre of Lyon, INSERM 1048, CNRS 5292, Lyon, France
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
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31
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Su Y, Fu J, Zhang Y, Xu J, Dong Q, Cheng X. Visuospatial dysfunction is associated with posterior distribution of white matter damage in non-demented cerebral amyloid angiopathy. Eur J Neurol 2021; 28:3113-3120. [PMID: 34157199 DOI: 10.1111/ene.14993] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/16/2021] [Accepted: 06/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral amyloid angiopathy (CAA) is a well-recognized contributor to cognitive decline in the elderly. The posterior cortical predilection of CAA pathology would cause visuospatial dysfunction, which is still underexplored. We aimed to investigate whether the visuospatial dysfunction in CAA is associated with the posterior distribution of small vessel disease (SVD) imaging markers. METHODS We recruited 60 non-demented CAA cases from a Chinese prospective cohort and 30 cases with non-CAA SVD as controls. We used the Visual Object and Space Perception (VOSP) battery to evaluate visuospatial abilities, and multivariable regression models to assess their associations with SVD imaging markers. RESULTS There was visuospatial dysfunction, especially visual object perception impairment, in CAA compared to controls (Z-score of VOSP: -0.11 ± 0.66 vs. 0.22 ± 0.54, p = 0.023). The VOSP score in CAA was independently related to the fronto-occipital gradient of white matter hyperintensity volumes (coefficient = 0.03, 95% confidence interval [CI] = 0.003-0.05, p = 0.030) and mean fractional anisotropy values on diffusion tensor imaging (coefficient = 4.72, 95% CI = 0.97-8.48, p = 0.015), but not the severity of global SVD imaging markers or the gradient of lobar cerebral microbleeds with adjustments for age and global cognition score. CONCLUSIONS This finding suggests that the damage of posterior white matter rather than global disease severity may be a major contributor to visuospatial dysfunction in CAA.
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Affiliation(s)
- Ya Su
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiayu Fu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanrong Zhang
- Department of Nursing, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiajie Xu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Kozberg MG, Perosa V, Gurol ME, van Veluw SJ. A practical approach to the management of cerebral amyloid angiopathy. Int J Stroke 2021; 16:356-369. [PMID: 33252026 PMCID: PMC9097498 DOI: 10.1177/1747493020974464] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Cerebral amyloid angiopathy is a common small vessel disease in the elderly involving vascular amyloid-β deposition. Cerebral amyloid angiopathy is one of the leading causes of intracerebral hemorrhage and a significant contributor to age-related cognitive decline. The awareness of a diagnosis of cerebral amyloid angiopathy is important in clinical practice as it impacts decisions to use lifelong anticoagulation or nonpharmacological alternatives to anticoagulation such as left atrial appendage closure in patients who have concurrent atrial fibrillation, another common condition in older adults. This review summarizes the latest literature regarding the management of patients with sporadic cerebral amyloid angiopathy, including diagnostic criteria, imaging biomarkers for cerebral amyloid angiopathy severity, and management strategies to decrease intracerebral hemorrhage risk. In a minority of patients, the presence of cerebral amyloid angiopathy triggers an autoimmune inflammatory reaction, referred to as cerebral amyloid angiopathy-related inflammation, which is often responsive to immunosuppressive treatment in the acute phase. Diagnosis and management of cerebral amyloid angiopathy-related inflammation will be presented separately. While there are currently no effective therapeutics available to cure or halt the progression of cerebral amyloid angiopathy, we discuss emerging avenues for potential future interventions.
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Affiliation(s)
- Mariel G Kozberg
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Valentina Perosa
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - M Edip Gurol
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
| | - Susanne J van Veluw
- MassGeneral Institute for Neurodegenerative Disease, 2348Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology, 2348Massachusetts General Hospital, Harvard Medical School, Boston, MA,USA
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Pålhaugen L, Sudre CH, Tecelao S, Nakling A, Almdahl IS, Kalheim LF, Cardoso MJ, Johnsen SH, Rongve A, Aarsland D, Bjørnerud A, Selnes P, Fladby T. Brain amyloid and vascular risk are related to distinct white matter hyperintensity patterns. J Cereb Blood Flow Metab 2021; 41:1162-1174. [PMID: 32955960 PMCID: PMC8054718 DOI: 10.1177/0271678x20957604] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
White matter hyperintensities (WMHs) are associated with vascular risk and Alzheimer's disease. In this study, we examined relations between WMH load and distribution, amyloid pathology and vascular risk in 339 controls and cases with either subjective (SCD) or mild cognitive impairment (MCI). Regional deep (DWMH) and periventricular (PWMH) WMH loads were determined using an automated algorithm. We stratified on Aβ1-42 pathology (Aβ+/-) and analyzed group differences, as well as associations with Framingham Risk Score for cardiovascular disease (FRS-CVD) and age. Occipital PWMH (p = 0.001) and occipital DWMH (p = 0.003) loads were increased in SCD-Aβ+ compared with Aβ- controls. In MCI-Aβ+ compared with Aβ- controls, there were differences in global WMH (p = 0.003), as well as occipital DWMH (p = 0.001) and temporal DWMH (p = 0.002) loads. FRS-CVD was associated with frontal PWMHs (p = 0.003) and frontal DWMHs (p = 0.005), after adjusting for age. There were associations between global and all regional WMH loads and age. In summary, posterior WMH loads were increased in SCD-Aβ+ and MCI-Aβ+ cases, whereas frontal WMHs were associated with vascular risk. The differences in WMH topography support the use of regional WMH load as an early-stage marker of etiology.
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Affiliation(s)
- Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK.,Department of Medical Physics, University College London, London, UK
| | - Sandra Tecelao
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | | | - Ina S Almdahl
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Geriatric Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Lisa F Kalheim
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - M Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK.,Department of Medical Physics, University College London, London, UK
| | - Stein H Johnsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway.,Department of Clinical Medicine, Brain and Circulation Research Group, UiT The Arctic University of Norway, Tromsø, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Haugesund Hospital, Haugesund, Norway.,Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Dag Aarsland
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Center for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Atle Bjørnerud
- Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway.,Department of Physics, University of Oslo, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Inoue Y, Ando Y, Misumi Y, Ueda M. Current Management and Therapeutic Strategies for Cerebral Amyloid Angiopathy. Int J Mol Sci 2021; 22:ijms22083869. [PMID: 33918041 PMCID: PMC8068954 DOI: 10.3390/ijms22083869] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/01/2021] [Accepted: 04/01/2021] [Indexed: 12/18/2022] Open
Abstract
Cerebral amyloid angiopathy (CAA) is characterized by accumulation of amyloid β (Aβ) in walls of leptomeningeal vessels and cortical capillaries in the brain. The loss of integrity of these vessels caused by cerebrovascular Aβ deposits results in fragile vessels and lobar intracerebral hemorrhages. CAA also manifests with progressive cognitive impairment or transient focal neurological symptoms. Although development of therapeutics for CAA is urgently needed, the pathogenesis of CAA remains to be fully elucidated. In this review, we summarize the epidemiology, pathology, clinical and radiological features, and perspectives for future research directions in CAA therapeutics. Recent advances in mass spectrometric methodology combined with vascular isolation techniques have aided understanding of the cerebrovascular proteome. In this paper, we describe several potential key CAA-associated molecules that have been identified by proteomic analyses (apolipoprotein E, clusterin, SRPX1 (sushi repeat-containing protein X-linked 1), TIMP3 (tissue inhibitor of metalloproteinases 3), and HTRA1 (HtrA serine peptidase 1)), and their pivotal roles in Aβ cytotoxicity, Aβ fibril formation, and vessel wall remodeling. Understanding the interactions between cerebrovascular Aβ deposits and molecules that accumulate with Aβ may lead to discovery of effective CAA therapeutics and to the identification of biomarkers for early diagnosis.
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Affiliation(s)
- Yasuteru Inoue
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
- Correspondence: ; Tel.: +81-96-373-5893; Fax: +81-96-373-5895
| | - Yukio Ando
- Department of Amyloidosis Research, Nagasaki International University, Sasebo 859-3298, Japan;
| | - Yohei Misumi
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
| | - Mitsuharu Ueda
- Department of Neurology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (Y.M.); (M.U.)
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Sagnier S, Catheline G, Munsch F, Bigourdan A, Poli M, Debruxelles S, Renou P, Olindo S, Rouanet F, Dousset V, Tourdias T, Sibon I. Severity of Small Vessel Disease Biomarkers Reduces the Magnitude of Cognitive Recovery after Ischemic Stroke. Cerebrovasc Dis 2021; 50:456-463. [PMID: 33827075 DOI: 10.1159/000513916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 12/16/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE The objective of this study was to evaluate the impact of radiological biomarkers suggestive of cerebral small vessel disease (SVD) on the evolution of cognitive performances after an ischemic stroke (IS). METHODS We studied patients with a supratentorial IS recruited consecutively to a prospective monocentric longitudinal study. A cognitive assessment was performed at baseline, 3 months, and 1 year and was based on a Montreal Cognitive Assessment, an Isaacs set test of verbal fluency (IST), and a Zazzo's cancellation task (ZCT) for the evaluation of attentional functions and processing speed. The following cerebral SVD biomarkers were detected on a 3-T brain MRI performed at baseline: white matter hyperintensities (WMHs), deep and lobar microbleeds, enlarged perivascular spaces in basal ganglia and centrum semiovale, previous small deep infarcts, and cortical superficial siderosis (cSS). Generalized linear mixed models were used to evaluate the relationship between these biomarkers and changes in cognitive performances. RESULTS A total of 199 patients (65 ± 13 years, 68% male) were analyzed. Overall, the cognitive performances improved, more significantly in the first 3 months. Severe WMH was identified in 34% of the patients, and focal cSS in 3.5%. Patients with severe WMH and focal cSS had overall worse cognitive performances. Those with severe WMH had less improvement over time for IST (β = -0.16, p = 0.02) and the number of errors to ZCT (β = 0.19, p = 0.02), while those with focal cSS had less improvement over time for ZCT completion time (β = 0.14, p = 0.01) and number of errors (β = 0.17, p = 0.008), regardless of IS volume and location, gray matter volume, demographic confounders, and clinical and cardiovascular risk factors. CONCLUSION The severity of SVD biomarkers, encompassing WMH and cSS, seems to reduce the magnitude of cognitive recovery after an IS. The detection of such SVD biomarkers early after stroke might help to identify patients with a cognitive vulnerability and a higher risk of poststroke cognitive impairment.
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Affiliation(s)
- Sharmila Sagnier
- UMR 5287 CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France.,CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | - Gwenaëlle Catheline
- UMR 5287 CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France
| | - Fanny Munsch
- Beth Israel Deaconess Medical Center, Harvard University, Boston, Massachusetts, USA
| | | | - Mathilde Poli
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | - Pauline Renou
- CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
| | | | | | - Vincent Dousset
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Neuroimagerie Diagnostique et Thérapeutique, Bordeaux, France
| | - Thomas Tourdias
- INSERM-U1215, Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Neuroimagerie Diagnostique et Thérapeutique, Bordeaux, France
| | - Igor Sibon
- UMR 5287 CNRS, Université de Bordeaux, EPHE PSL Research University, Bordeaux, France.,CHU de Bordeaux, Unité Neuro-Vasculaire, Bordeaux, France
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Zanon Zotin MC, Sveikata L, Viswanathan A, Yilmaz P. Cerebral small vessel disease and vascular cognitive impairment: from diagnosis to management. Curr Opin Neurol 2021; 34:246-257. [PMID: 33630769 PMCID: PMC7984766 DOI: 10.1097/wco.0000000000000913] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW We present recent developments in the field of small vessel disease (SVD)-related vascular cognitive impairment, including pathological mechanisms, updated diagnostic criteria, cognitive profile, neuroimaging markers and risk factors. We further address available management and therapeutic strategies. RECENT FINDINGS Vascular and neurodegenerative pathologies often co-occur and share similar risk factors. The updated consensus criteria aim to standardize vascular cognitive impairment (VCI) diagnosis, relying strongly on cognitive profile and MRI findings. Aggressive blood pressure control and multidomain lifestyle interventions are associated with decreased risk of cognitive impairment, but disease-modifying treatments are still lacking. Recent research has led to a better understanding of mechanisms leading to SVD-related cognitive decline, such as blood-brain barrier dysfunction, reduced cerebrovascular reactivity and impaired perivascular clearance. SUMMARY SVD is the leading cause of VCI and is associated with substantial morbidity. Tackling cardiovascular risk factors is currently the most effective approach to prevent cognitive decline in the elderly. Advanced imaging techniques provide tools for early diagnosis and may play an important role as surrogate markers for cognitive endpoints in clinical trials. Designing and testing disease-modifying interventions for VCI remains a key priority in healthcare.
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Affiliation(s)
- Maria Clara Zanon Zotin
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Center for Imaging Sciences and Medical Physics. Department of Medical Imaging, Hematology and Clinical Oncology. Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Anand Viswanathan
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Pinar Yilmaz
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
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Matsuda K, Shindo A, Ii Y, Tabei KI, Ueda Y, Ishikawa H, Matsuura K, Yoshimaru K, Taniguchi A, Kato N, Satoh M, Maeda M, Tomimoto H. Investigation of hypertensive arteriopathy-related and cerebral amyloid angiopathy-related small vessel disease scores in patients from a memory clinic: a prospective single-centre study. BMJ Open 2021. [PMCID: PMC8039265 DOI: 10.1136/bmjopen-2020-042550] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Objective The severity of cerebral small vessel disease (SVD) is assessed through neuroimaging findings, including hypertensive arteriopathy (HA)-SVD and cerebral amyloid angiopathy (CAA)-SVD. HA-SVD and CAA-SVD have been collectively estimated as total scores: the HA-SVD and CAA-SVD scores, respectively. Previous reports suggest that HA-SVD scores are associated with cognitive function; however, the relationship between CAA-SVD scores and cognitive function remains unclear. Therefore, we examined the association between CAA-SVD scores and cognitive function. Furthermore, we developed a modified CAA-SVD score considering cortical microinfarcts and posterior dominant white matter hyperintensities, which are imaging findings of CAA, and examined the association between these scores and cognitive function in the same patient group. Design Prospective study. Setting Single centre study from a memory clinic. Participants Subjects were diagnosed with mild cognitive impairment (MCI) or mild dementia in our memory clinic between February 2017 and July 2019 and underwent clinical dementia rating scale and brain MRI assessment. A total of 42 patients (aged 75.3±9.12 years) were registered prospectively. Primary and secondary outcome measures We evaluated intellectual function, memory, frontal lobe function and constructional ability. Furthermore, the relationship between each score and cognitive function was examined. Results The CAA-SVD score showed significant associations with cognitive function (R2=0.63, p=0.016), but the HA-SVD score did not (R2=0.41, p=0.35). The modified CAA-SVD score was also significantly associated with cognitive function (R2=0.65, p=0.008). Conclusion Cognitive function is associated with the CAA-SVD score, and more efficiently with the modified CAA-SVD score, in memory clinic patients. Although we have not validated the weighting of the modified CAA-SVD score, these scores can be a predictor of cognitive deterioration in patients with MCI and mild dementia.
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Affiliation(s)
- Kana Matsuda
- Rehabilitation, Mie University Hospital, Tsu, Japan
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Akihiro Shindo
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
- Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Yuichiro Ii
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Ken-ichi Tabei
- Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Yukito Ueda
- Rehabilitation, Mie University Hospital, Tsu, Japan
| | - Hidehiro Ishikawa
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Keita Matsuura
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Kimiko Yoshimaru
- Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Akira Taniguchi
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Natsuko Kato
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
| | - Masayuki Satoh
- Department of Dementia and Neuropsychology, Advanced Institute of Industrial Technology, Tokyo Metropolitan University, Shinagawa-Ku, Tokyo, Japan
| | - Masayuki Maeda
- Neuroradiology, Mie University School of Medicine, Tsu, Japan
| | - Hidekazu Tomimoto
- Neurology, Mie University Graduate School of Medicine Faculty of Medicine, Tsu, Japan
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Zhang SC, Jia JJ, Zhao HL, Zhou B, Wang W, Lu XH, Wang H, Wang ZF, Wu WP. Early MRI imaging and follow-up study in cerebral amyloid angiopathy. Open Med (Wars) 2021; 16:257-263. [PMID: 33623821 PMCID: PMC7885301 DOI: 10.1515/med-2021-0212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/30/2020] [Accepted: 01/04/2021] [Indexed: 11/27/2022] Open
Abstract
Aim To study the imaging features of leukoaraiosis (LA) and hemorrhage in cerebral amyloid angiopathy (CAA) patients. Methods The earliest MRI images of probable CAA patients and non-CAA patients were collected. The characteristics of LA in the two groups were analyzed. Cerebral micro bleeding (CMB), superficial siderosis (SS), and intracranial hemorrhage (ICH) were recorded in the follow-up study. The space relationship between CMB or SS and ICH was assessed. Results We found that 10/21 (47.6%) patients had occipital prominent LA and 14/21 (66.7%) patients had subcortical punctate LA before the ICH, which was higher than that of the ones in the control group (p = 0.015 and 0.038, respectively). The recurrence rate of ICH was 100% (3/3) in patients with diffuse SS and 36.4% (4/11) in patients without. The recurrence rate of ICH was 60% (3/5) in patients with multiple-lobe CMBs and 44.4% (4/9) in those without. The location of the ICH and CMB was inconsistent. ICH occurred in the ipsilateral cerebral hemisphere of SS in three patients with diffuse SS. Conclusion LA, diffuse SS, and multiple-lobe CMBs are important imaging characteristics of CAA, which may help make early diagnosis and predict the recurrence of ICH.
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Affiliation(s)
- Shan-Chun Zhang
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Jian-Jun Jia
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Heng-Li Zhao
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Bo Zhou
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Wei Wang
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Xiang-Hui Lu
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Hao Wang
- Geriatric Cardiological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Zhen-Fu Wang
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
| | - Wei-Ping Wu
- Geriatric Neurological Department of the Second Medical Centre and National Clinical Research Center of Geriatric Disease, Chinese People's Liberation Army General Hospital, Beijing, 100853, China
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Abrahamson EE, Stehouwer JS, Vazquez AL, Huang GF, Mason NS, Lopresti BJ, Klunk WE, Mathis CA, Ikonomovic MD. Development of a PET radioligand selective for cerebral amyloid angiopathy. Nucl Med Biol 2021; 92:85-96. [PMID: 32471773 PMCID: PMC8788879 DOI: 10.1016/j.nucmedbio.2020.05.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 05/02/2020] [Accepted: 05/05/2020] [Indexed: 01/23/2023]
Abstract
INTRODUCTION Positron emission tomography (PET) using radiolabeled amyloid-binding compounds has advanced the field of Alzheimer's disease (AD) by enabling detection and longitudinal tracking of fibrillar amyloid-β (Aβ) deposits in living people. However, this technique cannot distinguish between Aβ deposits in brain parenchyma (amyloid plaques) from those in blood vessels (cerebral amyloid angiopathy, CAA). Development of a PET radioligand capable of selectively detecting CAA would help clarify its contribution to global brain amyloidosis and clinical symptoms in AD and would help to characterize side-effects of anti-Aβ immunotherapies in AD patients, such as CAA. METHODS A candidate CAA-selective compound (1) from a panel of analogues of the amyloid-binding dye Congo red was synthesized. The binding affinity to Aβ fibrils and lipophilicity of compound 1 were determined and selectivity for CAA versus parenchymal plaque deposits was assessed ex-vivo and in-vivo in transgenic APP/PS1 mice and in postmortem human brain affected with AD pathology. RESULTS Compound 1 displays characteristics of Aβ binding dyes, such as thioflavin-S, in that it labels both parenchymal Aβ plaques and CAA when applied to histological sections from both a transgenic APP/PS1 mouse model of Aβ amyloidosis and AD brain. Thus, compound 1 lacks molecular selectivity to distinguish Aβ deposits in CAA from those in plaques. However, when administered to living APP/PS1 mice intravenously, compound 1 preferentially labels CAA when assessed using in-vivo two-photon microscopy and ex-vivo histology and autoradiography. CONCLUSION We hypothesize that selectivity of compound 1 for CAA is attributable to its limited penetration of the blood-brain barrier due to the highly polar nature of the carboxylate moiety, thereby limiting access to parenchymal plaques and promoting selective in-vivo labeling of Aβ deposits in the vascular wall (i.e., "delivery selectivity").
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Affiliation(s)
- Eric E Abrahamson
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | | | - Alberto L Vazquez
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Guo-Feng Huang
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - N Scott Mason
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Brian J Lopresti
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - William E Klunk
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chester A Mathis
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Milos D Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA.
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40
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Damien C, Cisse F, Ligot N, Toure ML, Konaté M, Barry SD, Saw M, Naeije G. Insights in the pathophysiology of haemorrhagic strokes in a sub-Sahara African country, an epidemiological and MRI study. Trop Med Int Health 2020; 26:166-172. [PMID: 33159424 DOI: 10.1111/tmi.13512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Intra-cerebral Haemorrhage (ICH) seems more prevalent in sub-Saharan Africa (SSA) than in High-Income Countries (HIC) with poorer clinical outcome. Higher impact of hypertension and/or amyloid angiopathy could account for this disproportion. Here, we sought to (i) retrospectively compare ICH clinical and imaging patterns in Belgium and Guinea and in a subsequent cohort (ii) prospectively compare brain MRI characteristics to seek evidence for a different proportion of amyloid angiopathy patterns. METHODS Ninety one consecutive patients admitted for spontaneous ICH at Brussels Erasme-ULB Hospital and at Conakry Ignace Deen-UGANC were retrospectively compared in terms of ICH volume estimated with the ABC/2 method, clinical characteristics and modified ranking (mRS) score at 30 days. mRS was dichotomised as good outcomes (≤3) and poor outcomes (>3). A prospective cohort of 30 consecutive patients with ICH admitted at CHU Conakry Ignace Deen-UGANC was prospectively included to undergo brain MRI. Results of the Guinean MRI were compared to 30 patients randomly selected from Brussels' initial cohort. Paired Student's t-test and Mann-Whitney u-test were used for group comparisons. RESULTS Age of ICH onset was higher in Belgium (68 ± 17 years vs. 56 ± 14 years, P < 0.01) while ICH volume and 30-day mortality rate were higher in Guinea (20 ml vs. 11 ml, P < 0.01 and mortality 33% vs. 10 %, P < 0.01). ICH burden in survivors in Conakry and Brussels showed respectively good outcomes in 56.7% and 60.4% (P = 0.09) and poor outcomes in 10.3% vs. 29.6% (P < 0.001). MRI analysis of the prospective cohort failed to disclose significant differences regarding brain MRI characteristics. CONCLUSIONS Intra-cerebral Haemorrhage affected patients 15 years younger in Guinea with larger haematoma volumes and higher mortality than in Belgium. MRI findings did not show more prevalent amyloid angiopathy pathology suggesting that better primary prevention of hypertension could positively impact ICH epidemiology in Guinea.
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Affiliation(s)
- C Damien
- Department of Neurology, CUB Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - F Cisse
- Department of Neurology, CHU Ignace Deen, Université Gamal Abdel Nasser Conakry, Conakry, Guinea
| | - N Ligot
- Department of Neurology, CUB Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - M L Toure
- Department of Neurology, CHU Ignace Deen, Université Gamal Abdel Nasser Conakry, Conakry, Guinea
| | - M Konaté
- Department of Neurology, CHU Ignace Deen, Université Gamal Abdel Nasser Conakry, Conakry, Guinea
| | - S D Barry
- Department of Neurology, CHU Ignace Deen, Université Gamal Abdel Nasser Conakry, Conakry, Guinea
| | - M Saw
- Centre de Diagnostic Caisse Nationale de Sécurité Sociale, Conakry, Guinea
| | - G Naeije
- Department of Neurology, CUB Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
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Angiopatia amiloide cerebrale sporadica. Neurologia 2020. [DOI: 10.1016/s1634-7072(20)44005-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Fotiadis P, Reijmer YD, Van Veluw SJ, Martinez-Ramirez S, Karahanoglu FI, Gokcal E, Schwab KM, Goldstein JN, Rosand J, Viswanathan A, Greenberg SM, Gurol ME. White matter atrophy in cerebral amyloid angiopathy. Neurology 2020; 95:e554-e562. [PMID: 32611644 DOI: 10.1212/wnl.0000000000010017] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 01/10/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We postulated that cerebral amyloid angiopathy (CAA) is associated with white matter atrophy (WMA) and that WMA can be related to cognitive changes in CAA. METHODS White matter volume expressed as percent of intracranial volume (pWMV) of prospectively enrolled patients without dementia diagnosed with probable CAA was compared to age-matched healthy controls (HC) and patients with Alzheimer disease (AD). Cognitive scores were also sought to understand the potential effects of WMA on cognitive function. RESULTS Patients with CAA (n = 72) had significantly lower pWMV (27.97% ± 2.63) when compared to age-matched HC (n = 72; mean difference [MD], 2.38%; p < 0.0001) and patients with AD (n = 72; MD, 1.57%; p < 0.0001). Differences were most pronounced in the posterior occipital regions in both comparisons. When comparisons were restricted to groups of patients with CAA but no intracerebral hemorrhage (n = 32) or hypertension (n = 32), and age-matched HC and AD, the significant differences were unaltered. Within the CAA cohort, higher age, lobar microbleed counts, and presence of hypertension were associated with lower pWMV (p = 0.0007, p = 0.031, and p = 0.003, respectively). All associations remained independent in multivariable analyses. Within the CAA cohort, higher pWMV independently correlated with better scores of executive function. CONCLUSIONS Patients with CAA show WMA when compared to age-matched HC and patients with AD. WMA independently correlates with the number of lobar microbleeds, a marker of CAA severity. Consistent spatial patterns of WMA especially in posterior regions might be related to CAA. The association between WMA and measures of executive function suggests that WMA might represent an important mediator of CAA-related neurologic dysfunction.
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Affiliation(s)
- Panagiotis Fotiadis
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Yael D Reijmer
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Susanne J Van Veluw
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sergi Martinez-Ramirez
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Fikret Isik Karahanoglu
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Elif Gokcal
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Kristin M Schwab
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | - Joshua N Goldstein
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Jonathan Rosand
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Anand Viswanathan
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Steven M Greenberg
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - M Edip Gurol
- From the Hemorrhagic Stroke Research Program, Stroke Research Center, Department of Neurology (P.F., Y.D.R., S.J.V.V., S.M.-R., F.I.K., E.G., K.M.S., A.V., S.M.G., M.E.G.), and Division of Neurocritical Care and Emergency Neurology (J.N.G., J.R.), Massachusetts General Hospital, Harvard Medical School, Boston, MA.
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An APP mutation family exhibiting white matter hyperintensities and cortical calcification in East China. Neurol Sci 2020; 41:2921-2928. [DOI: 10.1007/s10072-020-04342-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 03/13/2020] [Indexed: 02/07/2023]
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Pongpitakmetha T, Fotiadis P, Pasi M, Boulouis G, Xiong L, Warren AD, Schwab KM, Rosand J, Gurol ME, Greenberg SM, Viswanathan A, Charidimou A. Cortical superficial siderosis progression in cerebral amyloid angiopathy: Prospective MRI study. Neurology 2020; 94:e1853-e1865. [PMID: 32284360 DOI: 10.1212/wnl.0000000000009321] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 11/26/2019] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To investigate the prevalence, predictors, and clinical relevance of cortical superficial siderosis (cSS) progression in cerebral amyloid angiopathy (CAA). METHODS Consecutive patients with symptomatic CAA meeting Boston criteria in a prospective cohort underwent baseline and follow-up MRI within 1 year. cSS progression was evaluated on an ordinal scale and categorized into mild (score 1-2 = cSS extension within an already present cSS focus or appearance of 1 new cSS focus) and severe progression (score 3-4 = appearance of ≥2 new cSS foci). Binominal and ordinal multivariable logistic regression were used to determine cSS progression predictors. We investigated future lobar intracerebral hemorrhage (ICH) risk in survival analysis models. RESULTS We included 79 patients with CAA (mean age, 69.2 years), 56 (71%) with lobar ICH at baseline. cSS progression was detected in 23 (29%) patients: 15 (19%) patients had mild and 8 (10%) severe progression. In binominal multivariable logistic regression, ICH presence (odds ratio [OR], 7.54; 95% confidence interval [CI], 1.75-53.52; p = 0.016) and baseline cSS (OR, 10.41; 95% CI, 2.84-52.83; p = 0.001) were independent predictors of cSS progression. In similar models, presence of disseminated (but not focal) cSS at baseline (OR, 5.58; 95% CI, 1.81-19.41; p = 0.004) was an independent predictor of cSS progression. Results were similar in ordinal multivariable logistic regression models. In multivariable Cox regression analysis, severe cSS progression was independently associated with increased future ICH risk (HR, 5.90; 95% CI, 1.30-26.68; p = 0.021). CONCLUSIONS cSS evolution on MRI is common in patients with symptomatic CAA and might be a potential biomarker for assessing disease severity and future ICH risk. External validation of these findings is warranted.
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Affiliation(s)
- Thanakit Pongpitakmetha
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Panagiotis Fotiadis
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Marco Pasi
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Gregoire Boulouis
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Li Xiong
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Andrew D Warren
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Kristin M Schwab
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Jonathan Rosand
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - M Edip Gurol
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Steven M Greenberg
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Anand Viswanathan
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand
| | - Andreas Charidimou
- From the Hemorrhagic Stroke Research Program, J. Philip Kistler Stroke Research Center, Department of Neurology (T.P., P.F., M.P., G.B., L.X., A.D.W., K.M.S., J.R., M.E.G., S.M.G., A.V., A.C.), and Division of Neurocritical Care and Emergency Neurology (J.R.), Massachusetts General Hospital, and MIND Informatics, Massachusetts General Hospital Biomedical Informatics Core (J.R.), Harvard Medical School, Boston; and Department of Pharmacology, Faculty of Medicine (T.P.), Chulalongkorn University, Bangkok, Thailand.
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Ii Y, Ishikawa H, Matsuyama H, Shindo A, Matsuura K, Yoshimaru K, Satoh M, Taniguchi A, Matsuda K, Umino M, Maeda M, Tomimoto H. Hypertensive Arteriopathy and Cerebral Amyloid Angiopathy in Patients with Cognitive Decline and Mixed Cerebral Microbleeds. J Alzheimers Dis 2020; 78:1765-1774. [PMID: 33185609 PMCID: PMC11062589 DOI: 10.3233/jad-200992] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Hypertensive arteriopathy (HA) and cerebral amyloid angiopathy (CAA) may contribute to the development of mixed cerebral microbleeds (CMBs). Recently, the total small vessel disease (SVD) scores for HA and CAA were proposed, which are determined by a combination of MRI markers to reflect overall severity of these microangiopathies. OBJECTIVE We investigated whether or not total HA-SVD and CAA-SVD scores could be used to predict overlap of HA and CAA in patients with mixed CMBs. METHODS Fifty-three subjects with mixed CMBs were retrospectively analyzed. MRI markers (CMBs, lacunes, perivascular space, white matter hyperintensity [WMH] and cortical superficial siderosis [cSS]) were assessed. The HA-SVD score and CAA-SVD score were obtained for each subject. Anterior or posterior WMH was also assessed using the age-related white matter changes scale. RESULTS The two scores were positively correlated (ρ= 0.449, p < 0.001). The prevalence of lobar dominant CMB distribution (p < 0.001) and lacunes in the centrum semiovale (p < 0.001) and the severity of WMH in the parieto-occipital lobes (p = 0.004) were significantly higher in the high CAA-SVD score group. cSS was found in four patients with high CAA-SVD score who showed lobar-dominant CMB distribution and severe posterior WMH. CONCLUSION Mixed CMBs are mainly due to HA. Assessing both two scores may predict the overlap of HA and CAA in individuals with mixed CMBs. Patients with a high CAA-SVD score may have some degree of advanced CAA, especially when lobar predominant CMBs, severe posterior WMH, lobar lacunes, or cSS are observed.
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Affiliation(s)
- Yuichiro Ii
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hidehiro Ishikawa
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hirofumi Matsuyama
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Akihiro Shindo
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Keita Matsuura
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Kimiko Yoshimaru
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Mie, Japan
| | - Masayuki Satoh
- Department of Dementia Prevention and Therapeutics, Mie University Graduate School of Medicine, Mie, Japan
| | - Akira Taniguchi
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Kana Matsuda
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
| | - Maki Umino
- Department of Radiology, Mie University Graduate School of Medicine, Mie, Japan
| | - Masayuki Maeda
- Department of Neuroradiology, Mie University Graduate School of Medicine, Mie, Japan
| | - Hidekazu Tomimoto
- Department of Neurology, Mie University Graduate School of Medicine, Mie, Japan
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Weaver NA, Doeven T, Barkhof F, Biesbroek JM, Groeneveld ON, Kuijf HJ, Prins ND, Scheltens P, Teunissen CE, van der Flier WM, Biessels GJ. Cerebral amyloid burden is associated with white matter hyperintensity location in specific posterior white matter regions. Neurobiol Aging 2019; 84:225-234. [DOI: 10.1016/j.neurobiolaging.2019.08.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 08/02/2019] [Accepted: 08/03/2019] [Indexed: 11/24/2022]
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Gurol ME, Biessels GJ, Polimeni JR. Advanced Neuroimaging to Unravel Mechanisms of Cerebral Small Vessel Diseases. Stroke 2019; 51:29-37. [PMID: 31752614 DOI: 10.1161/strokeaha.119.024149] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- M Edip Gurol
- From the Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston (M.E.G.)
| | - Geert J Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, the Netherlands (G.J.B.)
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown (J.R.P.).,Department of Radiology, Harvard Medical School, Boston, MA (J.R.P.).,Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA (J.P.R.)
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Al-Janabi OM, Brown CA, Bahrani AA, Abner EL, Barber JM, Gold BT, Goldstein LB, Murphy RR, Nelson PT, Johnson NF, Shaw LM, Smith CD, Trojanowski JQ, Wilcock DM, Jicha GA. Distinct White Matter Changes Associated with Cerebrospinal Fluid Amyloid-β1-42 and Hypertension. J Alzheimers Dis 2019; 66:1095-1104. [PMID: 30400099 DOI: 10.3233/jad-180663] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) pathology and hypertension (HTN) are risk factors for development of white matter (WM) alterations and might be independently associated with these alterations in older adults. OBJECTIVE To evaluate the independent and synergistic effects of HTN and AD pathology on WM alterations. METHODS Clinical measures of cerebrovascular disease risk were collected from 62 participants in University of Kentucky Alzheimer's Disease Center studies who also had cerebrospinal fluid (CSF) sampling and MRI brain scans. CSF Aβ1-42 levels were measured as a marker of AD, and fluid-attenuated inversion recovery imaging and diffusion tensor imaging were obtained to assess WM macro- and microstructural properties. Linear regression analyses were used to assess the relationships among WM alterations, cerebrovascular disease risk, and AD pathology. Voxelwise analyses were performed to examine spatial patterns of WM alteration associated with each pathology. RESULTS HTN and CSF Aβ1-42 levels were each associated with white matter hyperintensities (WMH). Also, CSF Aβ1-42 levels were associated with alterations in normal appearing white matter fractional anisotropy (NAWM-FA), whereas HTN was marginally associated with alterations in NAWM-FA. Linear regression analyses demonstrated significant main effects of HTN and CSF Aβ1-42 on WMH volume, but no significant HTN×CSF Aβ1-42 interaction. Furthermore, voxelwise analyses showed unique patterns of WM alteration associated with hypertension and CSF Aβ1-42. CONCLUSION Associations of HTN and lower CSF Aβ1-42 with WM alteration were statistically and spatially distinct, suggesting independent rather than synergistic effects. Considering such spatial distributions may improve diagnostic accuracy to address each underlying pathology.
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Affiliation(s)
- Omar M Al-Janabi
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Behavioral Science, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Christopher A Brown
- Departments of Neuroscience, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Ahmed A Bahrani
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Biomedical Engineering, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Epidemiology and Biostatistics, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Justin M Barber
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Brian T Gold
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Neuroscience, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Larry B Goldstein
- Departments of Neurology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Ronan R Murphy
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Neurology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Pathology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Nathan F Johnson
- Departments of Rehabilitation Science, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Charles D Smith
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Neurology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - John Q Trojanowski
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Physiology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Behavioral Science, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA.,Departments of Neurology, University of Kentucky Colleges of Medicine, Public Health, Health Sciences and Engineering Lexington, KY, USA
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Chou KH, Wang PN, Peng LN, Liu LK, Lee WJ, Chen LK, Lin CP, Chung CP. Location-Specific Association Between Cerebral Microbleeds and Arterial Pulsatility. Front Neurol 2019; 10:1012. [PMID: 31620078 PMCID: PMC6759828 DOI: 10.3389/fneur.2019.01012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 09/04/2019] [Indexed: 11/20/2022] Open
Abstract
Objective: Increased arterial pulsatility index (API), usually representative of distal vascular resistance, have been linked to cerebral small vessel disease. However, their relationship with cerebral microbleeds (CMBs) is less well-studied. The present study aimed to evaluate the relationship between CMBs and API. Methods: We cross-sectionally evaluated participants from a non-clinical stroke, non-demented community-based population. APIs of cervical internal carotid and vertebral arteries were measured by ultrasonography. CMBs were assessed by susceptibility-weighted-imaging on 3T magnetic resonance imaging (MRI). Subjects were classified according to CMB locations: deep/infratentorial (DI) or strictly lobar (SL) CMB groups. DI-CMB group also included subjects with simultaneous lobar CMBs. Results: Of the 681 subjects [62.2 (8.4) years, 43.5% men] included, CMBs were found in 92 (13.5%) subjects: 57 (8.4%) with DI-CMB and 35 (5.1%) with SL-CMB. The results showed that CMB location influenced their association with API. DI-CMB was significantly associated with elevated API of internal carotid arteries (β = 0.031; 95% confidence interval = 0.002–0.059; P = 0.03), while SL-CMB was significantly associated with elevated API of vertebral arteries (β = 0.050; 95% confidence interval = 0.006–0.094; P = 0.025) in multivariate analyses adjusting for age, sex, cardiovascular risk factors, white matter hyperintensities (WMH), and lacunes. Conclusion: Our study again emphasizes (1) the association between API and cerebral small vessel disease and (2) the pathogenic differences between DI- and SL-CMBs. Our results lead to the postulation that in the presence of CMBs without clinical dysfunction yet, insidious small vascular disorders might already occur with corresponding topography.
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Affiliation(s)
- Kun-Hsien Chou
- Institute of Neuroscience, National Yang Ming University, Taipei, Taiwan.,Brain Research Center, National Yang Ming University, Taipei, Taiwan
| | - Pei-Ning Wang
- Brain Research Center, National Yang Ming University, Taipei, Taiwan.,Department of Neurology in School of Medicine, National Yang Ming University, Taipei, Taiwan.,Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Ning Peng
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Li-Kuo Liu
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Wei-Ju Lee
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Taipei, Taiwan
| | - Liang-Kung Chen
- Aging and Health Research Center, National Yang Ming University, Taipei, Taiwan.,Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming University, Taipei, Taiwan.,Brain Research Center, National Yang Ming University, Taipei, Taiwan
| | - Chih-Ping Chung
- Department of Neurology in School of Medicine, National Yang Ming University, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
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50
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Chantran Y, Capron J, Alamowitch S, Aucouturier P. Anti-Aβ Antibodies and Cerebral Amyloid Angiopathy Complications. Front Immunol 2019; 10:1534. [PMID: 31333665 PMCID: PMC6620823 DOI: 10.3389/fimmu.2019.01534] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 06/19/2019] [Indexed: 11/13/2022] Open
Abstract
Cerebral amyloid angiopathy (CAA) corresponds to the deposition of amyloid material in the cerebral vasculature, leading to structural modifications of blood vessel walls. The most frequent form of sporadic CAA involves fibrillar β-amyloid peptide (Aβ) deposits, mainly the 40 amino acid form (Aβ1-40), which are commonly found in the elderly with or without Alzheimer's disease. Sporadic CAA usually remains clinically silent. However, in some cases, acute complications either hemorrhagic or inflammatory can occur. Similar complications occurred after active or passive immunization against Aβ in experimental animal models exhibiting CAA, and in subjects with Alzheimer's disease during clinical trials. The triggering of these adverse events by active immunization and monoclonal antibody administration in CAA-bearing individuals suggests that analogous mechanisms could be involved during spontaneous CAA complications, drawing particular attention to the role of anti-Aβ antibodies. However, antibodies that react with several monomeric and aggregated forms of Aβ spontaneously occur in virtually all human individuals, hence being part of the "natural antibody" repertoire. Natural antibodies are usually described as having low-affinity and high cross-reactivity toward microbial components and autoantigens. Although frequently of the IgM class, they also belong to IgG and IgA isotypes. They likely display homeostatic functions and protective roles in aging. Until recently, the peculiar properties of these natural antibodies have hindered proper analysis of the Aβ-reactive antibody repertoire and the study of their implication in CAA complications. Herein, we review and comment the evidences of an auto-immune nature of spontaneous CAA complications, and discuss implications for forthcoming research and clinical practice.
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Affiliation(s)
- Yannick Chantran
- Sorbonne Université, Inserm, UMRS 938, Hôpital St-Antoine, AP-HP, Paris, France.,Département d'Immunologie Biologique, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Jean Capron
- Sorbonne Université, Inserm, UMRS 938, Hôpital St-Antoine, AP-HP, Paris, France.,Département de Neurologie, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Sonia Alamowitch
- Sorbonne Université, Inserm, UMRS 938, Hôpital St-Antoine, AP-HP, Paris, France.,Département de Neurologie, Hôpital Saint-Antoine, AP-HP, Paris, France
| | - Pierre Aucouturier
- Sorbonne Université, Inserm, UMRS 938, Hôpital St-Antoine, AP-HP, Paris, France.,Département d'Immunologie Biologique, Hôpital Saint-Antoine, AP-HP, Paris, France
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