Abstract
Objective:
Cerebral amyloid angiopathy (CAA) is a common age-related small vessel disease (SVD). Patients without intracerebral hemorrhage (ICH) typically present with transient focal neurologic episodes (TFNEs) or cognitive symptoms. We sought to determine if SVD lesion burden differed between patients with CAA first presenting with TFNEs vs cognitive symptoms.
Methods:
A total of 647 patients presenting either to a stroke department (n = 205) or an outpatient memory clinic (n = 442) were screened for eligibility. Patients meeting modified Boston criteria for probable CAA were included and markers of SVD were quantified, including cerebral microbleeds (CMBs), perivascular spaces, cortical superficial siderosis (cSS), and white matter hyperintensities (WMHs). Patients were classified according to presentation symptoms (TFNEs vs cognitive). Total CAA-SVD burden was assessed using a validated summary score. Individual neuroimaging markers and total SVD burden were compared between groups using univariable and multivariable models.
Results:
There were 261 patients with probable CAA included. After adjustment for confounders, patients first seen for TFNEs (n = 97) demonstrated a higher prevalence of cSS (p < 0.0001), higher WMH volumes (p = 0.03), and a trend toward higher CMB counts (p = 0.09). The total SVD summary score was higher in patients seen for TFNEs (adjusted odds ratio per additional score point 1.46, 95% confidence interval 1.16–1.84, p = 0.013).
Conclusions:
Patients with probable CAA without ICH first evaluated for TFNEs bear a higher burden of structural MRI SVD-related damage compared to those first seen for cognitive symptoms. This study sheds light on neuroimaging profile differences across clinical phenotypes of patients with CAA without ICH.
Sporadic cerebral amyloid angiopathy (CAA) is characterized by progressive deposition of β-amyloid in the walls of cortical and leptomeningeal small arteries, resulting in vessel dysfunction and brain parenchymal injury. CAA is common in older individuals and, when severe, can lead to devastating consequences including intracerebral hemorrhage (ICH) and dementia.1,2 While definite diagnosis relies on pathology, clinical and neuroimaging criteria (the Boston criteria) can reliably identify CAA in older patients with lobar hemorrhage.3,4 More recently, an updated version of these criteria has demonstrated that the presence of ≥2 lobar cerebral microbleeds (CMBs) in patients without large hemorrhage is specific for moderate to severe CAA pathology presence in older individuals seen in a hospital setting.5
This group of patients with probable CAA without ICH presents an opportunity to characterize and investigate the consequences of CAA-related small vessel disease (SVD) damage unambiguously from the destructive effect of large intracerebral bleeds. Distinguishing neuroimaging phenotypes among distinct presentations of CAA would add insight in our understanding of the disease pathophysiology and various clinical expressions.
Characteristic neuroimaging biomarkers of SVD are seen in CAA, including strictly lobar CMBs, enlarged centrum semiovale perivascular spaces (CSO-PVS), cortical superficial siderosis (cSS), and white matter hyperintensities (WMHs).4,6–8 However, it remains unclear how the burden of each of these lesions or the combination of them is related to the clinical presentation of the disease.
The 2 main outpatient settings through which patients with CAA without ICH come to medical attention are stroke services (where patients are commonly seen for transient focal neurologic episodes [TFNEs])9,10 and memory clinics (where patients are evaluated for cognitive symptoms or subjective cognitive complaints).11 It has been shown that patients with CAA first seen for acute neurologic symptoms often develop recurrent symptoms and are at high risk of developing subsequent ICH,12–14 while an association with higher risk of bleeding has not been described in memory clinic patients, who demonstrate cognitive decline over time.11
These data raise the question as to whether the overall microvasculopathic severity influences the type of presentation in patients with CAA without ICH. Better defining these differences may be important to distinguish potential disease phenotypes that may have different prognoses in terms of risk for future ICH and cognitive decline.
We therefore sought to determine whether SVD lesional burden and overall SVD severity differed between patients with CAA first presenting for TFNEs compared to those with cognitive symptoms or complaints, in order to investigate the influence of neuroimaging phenotype on clinical presentation and get further insights into CAA expanding imaging spectrum.
METHODS
Local institutional review board approval was obtained for prospective data collection and for retrospective medical record review and analysis.
Study population and group assignment.
We analyzed prospectively collected data from consecutive patients meeting modified Boston criteria for probable CAA in the absence of ICH3 admitted to a tertiary care medical center, the Massachusetts General Hospital.
A total of 647 patients with CMBs presenting through the stroke service (and enrolled in an ongoing prospective longitudinal cohort, as described previously,14,15 n = 205) as well as patients presenting to the memory clinic (and associated with the Massachusetts Alzheimer's Disease Research Center longitudinal study,16 n = 442) were assessed for eligibility between January 1994 and November 2015. MRIs were acquired at the discretion of the clinical team.
Patients with strictly deep microbleeds, mixed (deep and lobar) microbleeds, CAA-related inflammation, or previous cranial irradiation were excluded from this analysis. Patients were then recategorized according to their presenting symptoms: TFNEs vs cognitive symptoms. We aimed at distinguishing TFNEs from TIAs to include patients who presented with symptoms related to CAA pathology. We therefore only included patients with recurrent, stereotyped, and typically spreading focal episodes, or patients with less typical presentations but presence of acute sulcal convexity subarachnoid hemorrhage.
Clinical data.
Full medical history (including medication use) was obtained at presentation through in-person interview with patients or surrogates. Baseline neurologic examination was performed as part of standard of care and symptoms recorded prospectively.
Standard protocol approvals, registrations, and patient consents.
This study was performed in accordance with the guidelines and with approval of the institutional review boards at our institution.
Neuroimaging acquisition and analysis.
Images were obtained using a 1.5T MRI scanner and included whole brain T2-weighted, T2*-weighted gradient-recalled echo (echo time [TE] 750/50 ms, 5 mm slice thickness, 1 mm interslice gap), and fluid-attenuated inversion recovery (FLAIR; repetition time/TE 10,000/140 ms, inversion time 2,200 ms, 1 number of excitations, 5 mm slice thickness, 1 mm interslice gap). Neuroimaging markers of SVD severity were rated according to STRIVE consensus criteria.17
CMBs were defined on axial blood-sensitive MRI as punctate foci of hypointensity less than 10 mm in diameter, distinct from vascular flow voids and leptomeningeal hemosiderosis. Their presence and number were evaluated according to current consensus criteria18 and categorized according to the previously validated Microbleed Anatomical Rating Scale.19
Cortical superficial siderosis was defined as curvilinear hypointensities following the cortical surface, distinct from the vessels, and was assessed on axial blood-sensitive sequences according to a validated scale: absent, focal (restricted to ≤3 sulci), or disseminated (affecting 4 or more sulci).4
Enlarged PVS were assessed in line with STRIVE recommendations,17 rated on axial T2-weighted MRI, in the basal ganglia (BG) and CSO, using a validated 4-point visual rating scale (0 = no PVS, 1 = ≤10 PVS, 2 = 11–20 PVS, 3 = 21–40 PVS, and 4 = ≥40 PVS).20 We prespecified a dichotomized classification of EPVS degree as high (score >2) or low (score ≤2) in line with previous studies.21,22
WMH volumes were calculated on axial FLAIR sequences with a previously described semiautomated planimetric method23 using MRICron software.24 Periventricular and deep WMH were also classified using the 0–3 Fazekas scale.25 The anteroposterior ratio of WMH lesion distribution was computed using a validated approach.26 As previously shown26 using this method, a lower score reflects more posteriorly distributed WMH lesions.
Global atrophy was rated according to axial brain T1-weighted imaging according to a previously validated 0–3 scale,27 where 3 represents severe atrophy. We dichotomized patients into those with no or mild atrophy (0–1) and those with moderate to severe atrophy (2–3).
Lacunes were defined according to STRIVE criteria9 as round or ovoid fluid-filled cavities of between 3 and 15 mm in diameter and were classified as deep, subcortical, or pontine.
We subsequently constructed the total SVD summary score using the principal MRI markers of CAA (lobar CMBs, WMH according to Fazekas,25 CSO-PVS, and cSS) as previously validated.23 This yielded an ordinal score of total SVD burden (ranging from 0 to 6).
MRI analyses were performed and recorded blinded to all clinical information by 2 trained raters (A.C., G.B.) and consensus was obtained for each case.
As a complementary analysis, we compared the SVD burden of included patients to a cohort of 229 patients with lobar ICH meeting Boston criteria for probable CAA (described fully elsewhere).28
Statistics.
Patients were compared in univariate analyses, 2 independent sample t tests, Wilcoxon rank sum, Pearson χ2, and Fisher exact tests as appropriate.
Multivariable logistic regression analyses were performed to look for independent associations between each of the markers of small vessel disease severity (CMBs, cSS, WMH volumes, lacunes, enlarged PVS, and atrophy) with symptoms at presentation (neurologic vs cognitive), correcting for potential confounders. Stepwise backward variable elimination was subsequently used to generate a minimally adjusted model (p > 0.05).
A multivariable ordinal logistic regression model was then used to look for independent associations between the total SVD summary score23 and symptoms at presentation (neurologic vs cognitive) adjusting for age, sex, hypertension, diabetes mellitus, and hypercholesterolemia, predefined as the core vascular risk factors.
All tests of significance were 2-tailed. Statistical analyses were performed with JMP Pro 12 (SAS Institute Inc., Cary, NC) software; a p value of <0.05 was considered statistically significant.
This article was prepared in accordance with Strengthening the Reporting of Observational Studies in Epidemiology guidelines.29
RESULTS
A total of 261 patients with probable CAA were included in this analysis. Of these, 93 (35%) were first evaluated for TFNEs and 168 (65%) for cognitive symptoms (figure 1).
Figure 1. Flowchart of patient selection.
Other refers to patients excluded for being scanned for unrelated events or as part of a systematic and nonrelated protocol for a different disease (e.g., cancer extension, postcranial irradiation). Mixed refers to patients with lobar and deep cerebral microbleeds (CMBs). CAA = cerebral amyloid angiopathy; ICH = intracerebral hemorrhage.
Patients were comparable in terms of vascular risk factors, age at presentation, and sex. Patients seen for TFNEs were more likely to have atrial fibrillation or a history of transient neurologic symptoms (including TIAs), compared to patients with cognitive symptoms (19% vs 11%, p = 0.09 and 25% vs 5%, p < 0.001, respectively). Baseline characteristics are displayed in table 1.
Table 1.
Comparison of demographic and imaging characteristics between presenting symptoms

Patients first encountered for TFNEs demonstrated a higher prevalence of individual markers of SVD than those first seen for cognitive symptoms (table 2). Their baseline MRI notably demonstrated a higher prevalence of cSS (p < 0.0001), higher WMH volumes (p = 0.03), and marginally higher lobar microbleed counts (p = 0.09). The rate of lacunes and severe CSO or BG enlarged PVS were comparable.
Table 2.
Univariable comparisons of small vessel disease (SVD) severity markers according to presentation

In a multivariable logistic regression model after adjustment for age and sex, the presence of cSS was independently associated with higher odds of presenting for acute neurologic symptoms (odds ratio [OR] 2.3, 95% confidence interval [CI] 1.5–4.9, p = 0.003). Larger WMH volumes (per additional 10 mL, OR 1.1, 95% CI 1–1.24, p = 0.07) as well as higher counts of CMBs (per additional 5 CMBs, OR 1.1, 95% CI 1–1.06, p = 0.09) demonstrated strong trends toward significance (table 3).
Table 3.
Multivariable logistic regression model of small vessel disease (SVD) severity markers for presenting with transient focal neurologic episodes vs cognitive symptoms

Patients first presenting with TFNEs also had a higher total SVD summary score (mean ± SD; 3.5 ± 1.3 vs 2.9 ± 1.2; p < 0.001) and this remained significant in an ordinal logistic regression, adjusting for age vascular risk factors (adjusted OR per additional score point 1.46, 95% CI 1.16–1.84, p = 0.0013) (table 4).
Table 4.
Ordinal logistic regression for total small vessel disease burden score

Patients first presenting with TFNEs also demonstrated a more posterior distribution of WMH lesions compared to these presenting with cognitive symptoms (median 11 [interquartile range (IQR) 4–18] vs 13 [IQR 5–23], p = 0.054, lower values indicating more posterior distribution of WMH).
Patients with CAA without ICH demonstrated a higher total SVD burden than a cohort of 229 patients meeting Boston criteria for probable CAA in the context of an ICH (mean [IQR] total SVD score in ICH = 2 [1–3] vs 3 [2–4] in patients with cognitive symptoms and 3 [3–4] in those with TFNEs, both p < 0.001).28 This was almost entirely driven by a higher number of CMBs (1 [1–1] in ICH patients vs 5 [3–13] in patients with cognitive symptoms and 7 [3–30] in those with TFNEs, p = 0.001 and p < 0.001; see tables e-1 and e-2 and figure e-1 at Neurology.org for details).
DISCUSSION
We demonstrated that patients with probable CAA without symptomatic ICH first presenting with TFNEs bore a higher burden of quantifiable SVD-related damage compared to patients with probable CAA first evaluated for cognitive symptoms.
Our results suggest that the first clinical expression of CAA in patients without ICH corresponds to and predicts different degree of underlying SVD pathology. While the aim of this work was to identify disease phenotypes (for prognostic studies investigating the risk of future ICH and incident dementia in patients with CAA), our results may help to explore the main pathologic processes responsible for distinct clinical expression of CAA.
Patients first seen with TFNEs notably presented with a significantly higher burden of cSS and had a higher total SVD summary score. This suggests that these patients harbor more symptomatogenic hemorrhagic manifestation of the disease and more severe SVD pathology than those patients first seen for cognitive symptoms.
Recently, cSS has emerged as a key determinant of recurrent ICH risk in patients with CAA first presenting with hemorrhage30,31 and appears to be a strong neuroimaging indicator of CAA-related activity associated with a higher risk of bleeding.32 Being associated with transient focal neurologic episodes and linked to the occurrence of convexity subarachnoid bleeds,33 the higher prevalence of cSS in patients seen for TFNEs is somewhat expected.34 Nonetheless, this finding supports the hypothesis that clinical expression of the disease is related to the type of underlying SVD changes on MRI. It is possible that those first seen for TFNEs have a more focally active hemorrhagic disease phenotype. By contrast, those seen for cognitive symptoms may have a more progressive silent expression of the disease, or may be more frequently associated with neurodegenerative processes including Alzheimer disease.35
Interestingly, patients first seen for TFNEs demonstrated a significantly more posterior distribution of WMH lesions. The posterior distribution of WMH lesions has been described in patients with sporadic CAA without ICH26 but the influence of CAA subtype on WMH distribution had not been previously defined. The differences observed in this study strengthen the hypothesis that these subgroups may indeed represent different disease phenotypes: one being more acutely symptomatogenic leading to first presentation as TFNEs and the other more progressive and participating in/lowering the threshold for cognitive impairment.
The higher burden of SVD in the patients first seen for TFNEs conversely suggests that these patients come to medical attention at a later stage of the disease. Focal symptoms would then be an indicator of advanced CAA disease in this population of patients without cognitive decline or subjective cognitive complaints. It may be that in patients with cognitive complaints, less severe CAA pathology is needed for clinical manifestations because of relative burden of particular SVD pathologies (e.g., microbleeds vs WMH), because of the topographic location of the SVD pathology,36 or because of the synergistic effect with concomitant neurodegenerative pathology leading to clinical manifestations despite less severe SVD pathology.37
Our findings from the subgroup of patients with cognitive complaints coupled with recent findings from a population-based cohort38 raise the question as to whether neuroimaging could be useful in identifying CAA prior to progression to more severe clinical manifestations. Results from this population-based study suggest that cognitively normal individuals with >4 CAA-related CMBs on MRI scan are at elevated risk to develop cognitive decline. Future studies investigating the risk of cognitive decline and dementia in patients with CAA without ICH are therefore needed.
In our study, the severity of global atrophy was comparable in patients with CAA with TFNEs and cognitive symptoms whereas WMH burden was higher in patients presenting with acute neurologic manifestations. Cortical atrophy has been shown to be a marker of both neurodegeneration39 and SVD-related damage.17,40,41 It could be hypothesized that SVD-related damage in patients seen for acute neurologic symptoms more strongly influences cortical atrophy41,42 whereas in patients with CAA presenting with cognitive symptoms both SVD pathology and neurodegenerative processes drive atrophy.35,43,44 Quantitative cortical atrophy measures coupled with in vivo molecular imaging of amyloid and tau deposition may shed further insight into this possibility.
It has previously been shown that patients with CAA free of ICH (microbleeds only) bear a different neuroimaging profile than those with intracerebral hemorrhage at baseline,14 and previous work has demonstrated that patients with CAA with ICH differ from microbleeds-only patients.44,45 Therefore, in this study, we chose to focus our analysis on the neuroimaging burden of patients free of ICH, further expanding the spectrum of CAA clinical imaging expression in this important and distinct subgroup. Nonetheless, in an ancillary analysis, we found that patients with probable CAA with ICH have lower total SVD burden compared to those without ICH, almost entirely driven by a lower number of CMBs, in line with previous reports.14
Our study has limitations. First, without pathologic confirmation, we were unable to assess the real proportion of our patients actually having true underlying CAA pathology. While recent evidence has shown that the neuroimaging-based Boston criteria used in this study are highly predictive of moderate to severe CAA even in outpatient memory settings,5 those modified criteria have not yet been externally validated.5 It has been shown that the Boston criteria performed less accurately in population-based studies as compared to those seen in a hospital setting due to low prevalence of the disease in the general population.5,46 It may be possible that CAA pathology is more truly prevalent in patients with TFNEs compared to patients first seen for cognitive symptoms, thus leading to a potential bias. It is also possible that a portion of patients with TFNEs also experienced subjective cognitive symptoms that we were unable to assess given the retrospective design of this study.
Although there are criteria to distinguish TFNE from TIA,10 it may not be possible to fully discriminate TIA patients with incidentally discovered CAA from those with TFNE symptoms due to CAA pathology.10 We aimed at minimizing this potential bias by including patients with typical TFNE symptoms or acute, nonaneurysmal, convexity subarachnoid hemorrhage.
We also acknowledge that the use of a visual scale to assess cortical atrophy is known to be less accurate and reproducible than quantitative methods. Finally, the generalizability of our findings is likely to be influenced by our screening method, at a single academic center with a potential for selection bias. Therefore, replication in an independent cohort is mandated. Future works focusing on longitudinal follow-up, cognitive profiling, and advanced neuroimaging characterization in this subcategory of patients with CAA without ICH are needed.
Patients with probable CAA without ICH first evaluated for neurologic symptoms have a higher burden of quantifiable SVD-related damage compared to those first seen for cognitive symptoms. This study demonstrates the significance of first clinical encounter in patients with CAA without previous ICH and provides further evidence for distinct CAA phenotypes.44 Further studies focusing on the relationship between SVD burden and risk of subsequent clinical events, including symptomatic ICH, cognitive decline, and incident dementia, as well as advanced neuroimaging and genetic characterization of this subcategory of patients are needed.
Supplementary Material
GLOSSARY
- BG
basal ganglia
- CAA
cerebral amyloid angiopathy
- CI
confidence interval
- CMB
cerebral microbleed
- CSO
centrum semiovale
- cSS
cortical superficial siderosis
- FLAIR
fluid-attenuated inversion recovery
- ICH
intracerebral hemorrhage
- IQR
interquartile range
- OR
odds ratio
- PVS
perivascular spaces
- SVD
small vessel disease
- TE
echo time
- TFNE
transient focal neurologic episode
- WMH
white matter hyperintensity
Footnotes
Supplemental data at Neurology.org
Editorial, page 820
AUTHOR CONTRIBUTIONS
Conception and design of the study: G.B., A.C., M.P., A.V. Acquisition and analysis of data: G.B., A.C., M.J.J., L.X., D.R., P.F., M.P., A.A., M.E.M., K.M.S., J.R., S.M.G., M.E.G., A.V. Data management: A.A., K.M.S. Drafting a substantial portion of the manuscript or figures: G.B., A.C., A.V., S.M.G. Critical revisions: A.C., M.J.J., L.X., D.R., P.F., M.P., A.A., M.E.M., J.R., S.M.G., M.E.G. Funding: J.R., S.M.G., M.E.G., A.V.
STUDY FUNDING
This work was supported by NIH grants R01-AG026484 (S.M. Greenberg) and K23-NS083711 (M.E. Gurol). Gregoire Boulouis was supported by a J. William Fulbright Scholarship and a Monahan Foundation Biomedical Research Grant. This study is not industry sponsored.
DISCLOSURE
The authors report no disclosures relevant to the manuscript. Go to Neurology.org for full disclosures.
REFERENCES
- 1.Biffi A, Greenberg SM. Cerebral amyloid angiopathy: a systematic review. J Clin Neurol Seoul Korea 2011;7:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Moulin S, Labreuche J, Bombois S, et al. Dementia risk after spontaneous intracerebral haemorrhage: a prospective cohort study. Lancet Neurol 2016;15:820–829. [DOI] [PubMed] [Google Scholar]
- 3.Knudsen KA, Rosand J, Karluk D, Greenberg SM. Clinical diagnosis of cerebral amyloid angiopathy: validation of the Boston criteria. Neurology 2001;56:537–539. [DOI] [PubMed] [Google Scholar]
- 4.Linn J, Halpin A, Demaerel P, et al. Prevalence of superficial siderosis in patients with cerebral amyloid angiopathy. Neurology 2010;74:1346–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Martinez-Ramirez S, Romero JR, Shoamanesh A, et al. Diagnostic value of lobar microbleeds in individuals without intracerebral hemorrhage. Alzheimers Dement 2015;11:1480–1488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Gurol ME, Viswanathan A, Gidicsin C, et al. Cerebral amyloid angiopathy burden associated with Leukoaraiosis: a PET/MRI study. Ann Neurol 2013;73:529–536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Charidimou A, Meegahage R, Fox Z, et al. Enlarged perivascular spaces as a marker of underlying arteriopathy in intracerebral haemorrhage: a multicentre MRI cohort study. J Neurol Neurosurg Psychiatry 2013;84:624–629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Dierksen GA, Skehan ME, Khan MA, et al. Spatial relation between microbleeds and amyloid deposits in amyloid angiopathy. Ann Neurol 2010;68:545–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Charidimou A, Baron JC, Werring DJ. Cerebral amyloid angiopathy and transient focal neurological episodes. Cerebrovasc Dis 2013;36:245–246. [DOI] [PubMed] [Google Scholar]
- 10.Ni J, Auriel E, Jindal J, et al. The characteristics of superficial siderosis and convexity subarachnoid hemorrhage and clinical relevance in Suspected cerebral amyloid angiopathy. Cerebrovasc Dis 2015;39:278–286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li X, Davidsdottir S, Reijmer YD, et al. Cognitive profile and its association with neuroimaging markers of non-demented cerebral amyloid angiopathy patients in a stroke unit. J Alzheimer's Dis 2016;52:171–178. [DOI] [PubMed] [Google Scholar]
- 12.Raposo N, Viguier A, Cuvinciuc V, et al. Cortical subarachnoid haemorrhage in the elderly: a recurrent event probably related to cerebral amyloid angiopathy. Eur J Neurol 2011;18:597–603. [DOI] [PubMed] [Google Scholar]
- 13.Calviere L, Cuvinciuc V, Raposo N, et al. Acute convexity subarachnoid hemorrhage related to cerebral amyloid angiopathy: clinicoradiological features and outcome. J Stroke Cerebrovasc Dis 2016;25:1009–1016. [DOI] [PubMed] [Google Scholar]
- 14.Van Etten ES, Auriel E, Haley KE, et al. Incidence of symptomatic hemorrhage in patients with lobar microbleeds. Stroke 2014;45:2280–2285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Auriel E, Gurol ME, Ayres A, et al. Characteristic distributions of intracerebral hemorrhage-associated diffusion-weighted lesions. Neurology 2012;79:2335–2341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hyman BT, Growdon JH, Albers MW, et al. Massachusetts Alzheimer's disease research center: progress and challenges. Alzheimers Dement 2015;11:1241–1245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wardlaw JM, Smith EE, Biessels GJ, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol 2013;12:822–838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Greenberg SM, Vernooij MW, Cordonnier C, et al. Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 2009;8:165–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gregoire SM, Chaudhary UJ, Brown MM, et al. The Microbleed Anatomical Rating Scale (MARS): reliability of a tool to map brain microbleeds. Neurology 2009;73:1759–1766. [DOI] [PubMed] [Google Scholar]
- 20.Charidimou A, Jaunmuktane Z, Baron JC, et al. White matter perivascular spaces: an MRI marker in pathology-proven cerebral amyloid angiopathy? Neurology 2014;82:57–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Zhu YC, Tzourio C, Soumaré A, Mazoyer B, Dufouil C, Chabriat H. Severity of dilated Virchow-Robin spaces is associated with age, blood pressure, and MRI markers of small vessel disease: a population-based study. Stroke 2010;41:2483–2490. [DOI] [PubMed] [Google Scholar]
- 22.Martinez-Ramirez S, Pontes-Neto OM, Dumas AP, et al. Topography of dilated perivascular spaces in subjects from a memory clinic cohort. Neurology 2013;80:1551–1556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Charidimou A, Martinez-Ramirez S, Reijmer Y, et al. Total MRI small vessel disease burden in cerebral amyloid angiopathy: a concept validation imaging-pathological study. JAMA Neurol 2016;73:994–1001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Rorden C, Karnath HO, Bonilha L. Improving lesion-symptom mapping. J Cogn Neurosci 2007;19:1081–1088. [DOI] [PubMed] [Google Scholar]
- 25.Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. Am J Roentgenol 1987;149:351–356. [DOI] [PubMed] [Google Scholar]
- 26.Thanprasertsuk S, Martinez-Ramirez S, Pontes-Neto OM, et al. Posterior white matter disease distribution as a predictor of amyloid angiopathy. Neurology 2014;83:794–800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pasquier F, Leys D, Weerts JGE, Mourner-Vehier F, Barkhof F, Scheltens P. Inter-and intraobserver reproducibility of cerebral atrophy assessment on MRI scans with hemispheric infarcts. Eur Neurol 1996;36:268–272. [DOI] [PubMed] [Google Scholar]
- 28.Charidimou A, Boulouis G, Haley K, et al. White matter hyperintensity patterns in cerebral amyloid angiopathy and hypertensive arteriopathy. Neurology 2016;86:505–511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 2007;370:1453–1457. [DOI] [PubMed] [Google Scholar]
- 30.Linn J, Wollenweber FA, Lummel N, et al. Superficial siderosis is a warning sign for future intracranial hemorrhage. J Neurol 2013;260:176–181. [DOI] [PubMed] [Google Scholar]
- 31.Charidimou A, Peeters AP, Jager R, et al. Cortical superficial siderosis and intracerebral hemorrhage risk in cerebral amyloid angiopathy. Neurology 2013;81:1666–1673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Charidimou A, Linn J, Vernooij MW, et al. Cortical superficial siderosis: detection and clinical significance in cerebral amyloid angiopathy and related conditions. Brain J Neurol 2015;138:2126–2139. [DOI] [PubMed] [Google Scholar]
- 33.Charidimou A. Elderly and forgetful with transient neurological spells: a story of two amyloids? J Neurol Sci 2015;351:1–2. [DOI] [PubMed] [Google Scholar]
- 34.Charidimou A, Ni J, Martinez-Ramirez S, et al. Cortical superficial siderosis in memory clinic patients: further evidence for underlying cerebral amyloid angiopathy. Cerebrovasc Dis 2016;41:156–162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Boyle PA, Yu L, Nag S, et al. Cerebral amyloid angiopathy and cognitive outcomes in community-based older persons. Neurology 2016;85:1930–1936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zekry D, Duyckaerts C, Belmin J, Geoffre C, Moulias R, Hauw JJ. Cerebral amyloid angiopathy in the elderly: vessel walls changes and relationship with dementia. Acta Neuropathol 2003;106:367–373. [DOI] [PubMed] [Google Scholar]
- 37.Snowdon DA, Greiner LH, Mortimer JA, Riley KP, Greiner PA, Markesbery WR. Brain infarction and the clinical expression of Alzheimer disease: The Nun Study. JAMA 1997;277:813–817. [PubMed] [Google Scholar]
- 38.Akoudad S, Wolters FJ, Viswanathan A, et al. Association of cerebral microbleeds with cognitive decline and dementia. JAMA Neurol 2016;73:934–943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Erten-Lyons D, Dodge HH, Woltjer R, et al. Neuropathologic basis of age-associated brain atrophy. JAMA Neurol 2013;70:616–622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Jouvent E, Mangin JF, Porcher R, et al. Cortical changes in cerebral small vessel diseases: a 3D MRI study of cortical morphology in CADASIL. Brain 2008;131:2201–2208. [DOI] [PubMed] [Google Scholar]
- 41.Duering M, Righart R, Csanadi E, et al. Incident subcortical infarcts induce focal thinning in connected cortical regions. Neurology 2012;79:2025–2028. [DOI] [PubMed] [Google Scholar]
- 42.Fotiadis P, van Rooden S, Van Der Grond J, et al. Cortical atrophy in patients with cerebral amyloid angiopathy: a case-control study. Lancet Neurol 2016;15:811–819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Allen N, Robinson AC, Snowden J, Davidson YS, Mann DMA. Patterns of cerebral amyloid angiopathy define histopathological phenotypes in Alzheimer's disease. Neuropathol Appl Neurobiol 2014;40:136–148. [DOI] [PubMed] [Google Scholar]
- 44.Charidimou A, Martinez-Ramirez S, Shoamanesh A, et al. Cerebral amyloid angiopathy with and without hemorrhage evidence for different disease phenotypes. Neurology 2015;84:1206–1212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Greenberg S, Nandigam R, Delgado P, et al. Microbleeds versus macrobleeds: evidence for distinct entities. Stroke J 2009;40:2382–2386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Poels MMF, Ikram MA, van der Lugt A, et al. Incidence of cerebral microbleeds in the general population: the Rotterdam Scan Study. Stroke J 2011;42:656–661. [DOI] [PubMed] [Google Scholar]
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