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Late-life depression (LLD) increases risk for dementia and brain pathology, but possibly this is only true for one or more symptom profiles of LLD. In 4354 participants (76±5 years; 58% female) from the Age, Gene/Environment Susceptibility (AGES)-Reykjavik Study, we identified five LLD symptom profiles, based on the Geriatric Depression Scale-15 (no LLD(57%); apathy(31%); apathy with emptiness(2%), mild LLD(8%) and severe LLD(2%)). Cox regression analyses showed that severe LLD, mild LLD and apathy increased risk of dementia up to 12 years, compared to no LLD. Additionally, hippocampal volume loss and white matter lesion increase, were assessed on 1.5 T MR images, at baseline and after 5 years follow-up. Only severe LLD showed increased WML volume over time, but not on hippocampal volume loss. WML increase over time mediated partially the relation between mild LLD and dementia but not for the other symptom profiles. It appears that hippocampal atrophy and LLD are independent predictors for dementia incidence, whereas for mild LLD the risk for dementia is partially mediated by WML changes.

White matter hyperintensity (WMH) shape has been associated with the severity of the underlying brain pathology, suggesting it is a potential neuroimaging marker of WMH impact on brain function.In 563 patients with vascular disease (58 +/- 10 years), we examined the relationship between WMH volume, shape, and cognitive functioning. WMH volume and shape were automatically determined on 1.5T brain MRI data. Standardized linear regression analyses estimated the association between WMH volume and shape (concavity index, solidity, convexity, fractal dimension, and eccentricity) and memory and executive functioning, adjusted for age, sex, educational level, and reading ability.Larger WMH volumes were associated with lower executive functioning Z-scores ( b (95%-CI):-0.09 (-0.17;-0.01)). Increased shape complexity of periventricular/confluent WMH associated with lower exec-utive functioning (concavity index + 1SD:-0.13 (-0.20;-0.06); solidity-1SD:-0.09 (-0.17;-0.02)) and lower memory function (fractal dimension + 1SD:-0.10 (-0.18;-0.02)). Of note, the association between concav-ity index and executive functioning was independent of WMH volume (-0.12 (-0.19;-0.04)). Our results suggest that WMH shape contains additional information about WMH burden, not other-wise captured by WMH volume.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Asymptomatic low-grade carotid artery stenosis (LGCS) is a common finding in patients with manifest arterial disease, however its relationship with brain MRI changes and cognitive decline is unclear. We included 902 patients (58 ± 10 years; 81% male) enrolled in the Second Manifestations of Arterial Disease – Magnetic Resonance (SMART-MR) study without a history of cerebrovascular disease. LGCS was defined as 1–49% stenosis on baseline carotid ultrasound, whereas no LGCS (reference category) was defined as absence of carotid plaque. Brain and white matter hyperintensity (WMH) volumes and cognitive function were measured at baseline and after 4 (n = 480) and 12 years (n = 222) of follow-up. Using linear mixed-effects models, we investigated associations of LGCS with progression of brain atrophy, WMH, and cognitive decline. LGCS was associated with greater progression of global brain atrophy (estimate −0.03; 95%CI, −0.06 to −0.01; p = 0.002), and a greater decline in executive functioning (estimate −0.02; 95%CI, −0.031 to −0.01; p

Introduction: It has been hypothesized that carotid artery stenosis (CAS) may lead to greater atrophy of subserved brain regions; however, prospective studies on the impact of CAS on progression of hemispheric brain atrophy are lacking. We examined the association between CAS and progression of hemispheric brain atrophy. Methods: We included 654 patients (57 ± 9 years) of the SMART-MR study, a prospective cohort study of patients with manifest arterial disease. Patients had baseline CAS duplex measurements and a 1.5T brain MRI at baseline and after 4 years of follow-up. Mean change in hemispheric brain volumes (% of intracranial volume [ICV]) was estimated between baseline and follow-up for left-sided and right-sided CAS across three degrees of stenosis (mild [≤29%], moderate [30–69%], and severe [≥70%]), adjusting for demographics, cerebrovascular risk factors, and brain infarcts. Results: Mean decrease in left and right hemispheric brain volumes was 1.15% ICV and 0.82% ICV, respectively, over 4 years of follow-up. Severe right-sided CAS, compared to mild CAS, was associated with a greater decrease in volume of the left hemisphere (B = −0.49% ICV, 95% CI: −0.86 to −0.13) and more profoundly of the right hemisphere (B = −0.90% ICV, 95% CI: −1.27 to −0.54). This pattern was independent of cerebrovascular risk factors, brain infarcts, and white matter hyperintensities on MRI, and was also observed when accounting for the presence of severe bilateral CAS. Increasing degrees of left-sided CAS, however, was not associated with greater volume loss of the left or right hemisphere. Conclusions: Our data indicate that severe (≥70%) CAS could represent a risk factor for greater ipsilateral brain volume loss, independent of cerebrovascular risk factors, brain infarcts, or white matter hyperintensities on MRI. Further longitudinal studies in other cohorts are warranted to confirm this novel finding.

Global cerebral hypoperfusion may be involved in the aetiology of brain atrophy; however, long-term longitudinal studies on this relationship are lacking. We examined whether reduced cerebral blood flow was associated with greater progression of brain atrophy. Data of 1165 patients (61 ± 10 years) from the SMART-MR study, a prospective cohort study of patients with arterial disease, were used of whom 689 participated after 4 years and 297 again after 12 years. Attrition was substantial. Total brain volume and total cerebral blood flow were obtained from magnetic resonance imaging scans and expressed as brain parenchymal fraction (BPF) and parenchymal cerebral blood flow (pCBF). Mean decrease in BPF per year was 0.22% total intracranial volume (95% CI: –0.23 to –0.21). Mean decrease in pCBF per year was 0.24 ml/min per 100 ml brain volume (95% CI: –0.29 to –0.20). Using linear mixed models, lower pCBF at baseline was associated with a greater decrease in BPF over time ( p = 0.01). Lower baseline BPF, however, was not associated with a greater decrease in pCBF ( p = 0.43). These findings indicate that reduced cerebral blood flow is associated with greater progression of brain atrophy and provide further support for a role of cerebral blood flow in the process of neurodegeneration.

ObjectiveTo determine whether white matter hyperintensity (WMH) markers on MRI are associated with long-term risk of mortality and ischemic stroke.MethodsWe included consecutive patients with manifest arterial disease enrolled in the Second Manifestations of Arterial Disease–Magnetic Resonance (SMART-MR) study. We obtained WMH markers (volume, type, and shape) from brain MRI scans performed at baseline using an automated algorithm. During follow-up, occurrence of death and ischemic stroke was recorded. Using Cox regression, we investigated associations of WMH markers with risk of mortality and ischemic stroke, adjusting for demographics, cardiovascular risk factors, and cerebrovascular disease.ResultsWe included 999 patients (59 ± 10 years; 79% male) with a median follow-up of 12.5 years (range 0.2–16.0 years). A greater periventricular or confluent WMH volume was independently associated with a greater risk of vascular death (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.13–1.47) for a 1-unit increase in natural log-transformed WMH volume and ischemic stroke (HR 1.53, 95% CI 1.26–1.86). A confluent WMH type was independently associated with a greater risk of vascular (HR 1.89, 95% CI 1.15-3.11) and nonvascular death (HR 1.65, 95% CI 1.01–2.73) and ischemic stroke (HR 2.83, 95% CI 1.36-5.87). A more irregular shape of periventricular or confluent WMH, as expressed by an increase in concavity index, was independently associated with a greater risk of vascular (HR 1.20, 95% CI 1.05–1.38 per SD increase) and nonvascular death (HR 1.21, 95% CI 1.03–1.42) and ischemic stroke (HR 1.28, 95% CI 1.05–1.55).ConclusionsWMH volume, type, and shape are associated with long-term risk of mortality and ischemic stroke in patients with manifest arterial disease.

We determined the occurrence and association of cortical cerebral microinfarcts (CMIs) at 7 T MRI with risk factors, neuroimaging markers of small and large vessel disease, and cognitive functioning. Within the Medea-7T study, a diverse cohort of older persons with normal cognition, patients with vascular disease, and memory clinic patients, we included 386 participants (68 ± 9 years) with available 7 T and 1.5 T/3T brain MRI, and risk factor and neuropsychological data. CMIs were found in 10% of participants and were associated with older age (RR = 1.79 per +10 years, 95%CI 1.28–2.50), history of stroke or TIA (RR = 4.03, 95%CI 2.18–7.43), cortical infarcts (RR = 5.28, 95%CI 2.91–9.55), lacunes (RR = 5.66, 95%CI 2.85–11.27), cerebellar infarcts (RR = 2.73, 95%CI 1.27–5.84) and decreased cerebral blood flow (RR = 1.35 per −100 ml/min, 95%CI 1.00–1.83), after adjustment for age and sex. Furthermore, participants with >2 CMIs had 0.5 SD (95%CI 0.05–0.91) lower global cognitive performance, compared to participants without CMIs. Our results indicate that CMIs on 7 T MRI are observed in vascular and memory clinic patients with similar frequency, and are associated with older age, history of stroke or TIA, other brain infarcts, and poorer global cognitive functioning.

Neurodegenerative and neurovascular diseases lead to heterogeneous brain abnormalities. A combined analysis of these abnormalities by phenotypes of the brain might give a more accurate representation of the underlying aetiology. We aimed to identify different MRI phenotypes of the brain and assessed the risk of future stroke and mortality within these subgroups. In 1003 patients (59 ± 10 years) from the Second Manifestations of ARTerial disease-Magnetic Resonance (SMART-MR) study, different quantitative 1.5T brain MRI markers were used in a hierarchical clustering analysis to identify 11 distinct subgroups with a different distribution in brain MRI markers and cardiovascular risk factors, and a different risk of stroke (Cox regression: from no increased risk compared to the reference group with relatively few brain abnormalities to HR = 10.34; 95% CI 3.80↔28.12 for the multi-burden subgroup) and mortality (from no increased risk compared to the reference group to HR = 4.00; 95% CI 2.50↔6.40 for the multi-burden subgroup). In conclusion, within a group of patients with manifest arterial disease, we showed that different MRI phenotypes of the brain can be identified and that these were associated with different risks of future stroke and mortality. These MRI phenotypes can possibly classify individual patients and assess their risk of future stroke and mortality.

Lacunes and white matter hyperintensities (WMHs) are features of cerebral small vessel disease (CSVD) that are associated with poor functional outcomes. However, how the two are related remains unclear. In this study, we examined the association between lacunes and several WMH features in patients with a history of vascular disease. A total of 999 patients (mean age 59 ± 10 years) with a 1.5 T brain magnetic resonance imaging (MRI) scan were included from the SMART-MR study. Lacunes were scored visually and WMH features (volume, subtype and shape) were automatically determined. Analyses consisted of linear and Poisson regression adjusted for age, sex, and total intracranial volume (ICV). Patients with lacunes (n = 188; 19%) had greater total (B = 1.03, 95% CI: 0.86 to 1.21), periventricular/confluent (B = 1.08, 95% CI: 0.89 to 1.27), and deep (B = 0.71, 95% CI: 0.44 to 0.97) natural log-transformed WMH volumes than patients without lacunes. Patients with lacunes had an increased risk of confluent type WMHs (RR = 2.41, 95% CI: 1.98 to 2.92) and deep WMHs (RR = 1.41, 95% CI: 1.22 to 1.62) and had a more irregular shape of confluent WMHs than patients without lacunes, independent of total WMH volume. In conclusion, we found that lacunes on MRI were associated with WMH features that correspond to more severe small vessel changes, mortality, and poor functional outcomes.

Background and Purpose— Cerebral small-vessel disease and cerebral blood flow (CBF) are interrelated. However, the direction of the relationship is unknown, and longitudinal studies are scarce. We investigated the longitudinal relationship between CBF and white matter hyperintensities (WMHs) and lacunes, as representatives of cerebral small-vessel disease, in patients with manifest arterial disease. Methods— Within the Second Manifestations of Arterial Disease-Magnetic Resonance (SMART-MR) study, 1.5T brain magnetic resonance imaging, including an MR angiography, was obtained at baseline and after on ≈3.9 years of follow-up in 575 patients with manifest arterial disease (mean age, 57±10 years). Longitudinal associations of WMHs and lacunes with parenchymal CBF (pCBF; per 100-mL brain volume) were estimated using regression analyses, adjusted for age, sex, follow-up time, and baseline brain measures. Results— Baseline pCBF was not associated with progression of WMHs and lacunes over time. However, periventricular and deep WMHs at baseline were associated with decline in pCBF; mean (95% confidence interval) decline in pCBF per % intracranial volume increase in periventricular and deep WMH volume was −0.70 (−1.40 to −0.00) and −1.01 (−1.64 to −0.38) mL/min per 100-mL brain volume, respectively. These associations were partly explained by cardiovascular risk factors but remained significant for deep WMHs (mean decline [95% confidence interval] in pCBF per % intracranial volume increase in deep WMH volume was −0.92 [−1.56 to −0.28] mL/min per 100-mL brain volume). Lacunes were not associated with change in pCBF. Conclusions— In patients with manifest arterial disease, baseline periventricular and deep WMH volumes were associated with decline in pCBF over time, but baseline pCBF was not associated with progression of WMHs and lacunes over time.

Brain atrophy is a strong predictor for cognitive decline and dementia, and these are, in turn, associated with increased mortality in the general population. Patients with cardiovascular disease have more brain atrophy and a higher morbidity and mortality. We investigated if brain volumes on magnetic resonance imaging were associated with the risk of cardiovascular events and mortality in patients with manifest arterial disease (n = 1215; mean age 58 years). Automated brain segmentation was used to quantify intracranial volume, and volumes of total brain, sulcal cerebrospinal fluid, and ventricles. After a median follow-up of 8.3 years, 184 patients died, 49 patients had an ischemic stroke, and 100 patients had an ischemic cardiac complication. Smaller relative brain volumes increased the risk of all-cause death (hazard ratio [HR] per standard deviation decrease in total brain volume: 1.58, 95% confidence interval [95% CI]: 1.33-1.88), vascular death (HR 1.69, 95% CI: 1.35-2.13), and ischemic stroke (HR 1.96, 95% CI: 1.43-2.69), independent of cardiovascular risk factors. These results suggest that brain volumes are an important determinant of poor outcome in patients with high cardiovascular risk.

Objective: To examine the cross-sectional and prospective associations between arterial stiffness and structural brain changes within the Second Manifestations of Arterial Disease–Magnetic Resonance (SMART-MR) study, a prospective cohort study among patients with manifest arterial disease. Methods: Distension measurements of the common carotid arteries and a brain MRI were performed in 526 patients (mean age 59 ± 10 years). After a mean follow-up of 4.1 years (range 3.6–5.8), brain MRI was repeated in 308 patients. Brain segmentation was used to quantify total brain volume, cortical gray matter volume, ventricular volume, and white matter lesion (WML) volume (relative to intracranial volume). Infarcts were rated visually. Results: Cross-sectional multivariable regression analyses showed that 1 SD decrease in carotid distension, indicating increased arterial stiffness, was associated with smaller relative total brain and cortical gray matter volumes (B = −0.24%, 95% confidence interval [CI] −0.44 to −0.04%, and B = −0.47%, 95% CI −0.75 to −0.19%), with larger WML volume (B = 0.09%, 95% CI −0.01 to 0.19%), and with higher risk of having nonlacunar (cortical or large subcortical) brain infarcts (relative risk = 1.44, 95% CI 1.14 to 1.81). However, our prospective findings showed that carotid distension was not significantly associated with progression of brain atrophy, WML volume, or brain infarcts. Conclusion: In this population of patients with manifest arterial disease, stiffening of the carotid arteries was cross-sectionally associated with more brain atrophy, WML volume, and nonlacunar infarcts, but did not lead to changes in brain volumes or infarcts after 4 years.

Aims It has been suggested that in patients with type 2 diabetes mellitus (T2DM), brain atrophy is most pronounced in the hippocampus, but this has not been investigated systematically. The present pooled analysis of three studies examined if hippocampal atrophy is more prominent than global brain atrophy in patients with T2DM relative to controls. Methods Data were derived from a cohort study of patients with vascular disease (SMART-Medea (T2DM = 120; no T2DM = 502)), and from two case–control studies (UDES1 (T2DM = 61; controls = 30) and UDES2 (T2DM = 54; controls = 53)). In SMART-Medea and UDES1, hippocampal volume was obtained by manual tracing on 1.5 Tesla (T) MRI scans. Total brain and intracranial volume (ICV) were determined by an automated segmentation method. In UDES2, hippocampal and total brain volume were determined by FreeSurfer and ICV by manual segmentation on 3 T MRI scans. Results The pooled analyses, adjusted for age and sex, showed a significant negative relation between T2DM and total brain-to-ICV ratio (standardized mean difference = − 1.24%, 95% CI: − 1.63; − 0.86), but not between T2DM and hippocampal-to-ICV ratio (0.00%, 95% CI: − 0.01; 0.00) or between T2DM and hippocampal-to-total brain volume ratio (0.01%, 95% CI: − 0.01; 0.02). In patients with T2DM no associations were found between brain volume measures and HbA1c or memory. Conclusion Patients with T2DM had greater brain atrophy but not hippocampal atrophy, compared to controls. These findings do not support specific vulnerability of the hippocampus in patients with T2DM.