White matter hyperintensities are a prominent feature of autosomal dominant Alzheimer’s disease that emerge prior to dementia

Background To promote the development of effective therapies, there is an important need to characterize the full spectrum of neuropathological changes associated with Alzheimer’s disease. In line with this need, this study examined white matter abnormalities in individuals with early-onset autosomal dominant Alzheimer’s disease, in relation to age and symptom severity. Methods This is a cross-sectional analysis of data collected in members of a large kindred with a PSEN1 E280A mutation. Participants were recruited between September 2011 and July 2012 from the Colombian Alzheimer’s Prevention Initiative registry. The studied cohort comprised 50 participants aged between 20 and 55 years, including 20 cognitively unimpaired mutation carriers, 9 cognitively impaired mutation carriers, and 21 non-carriers. Participants completed an MRI, a lumbar puncture for cerebrospinal fluid collection, a florbetapir PET scan, and neurological and neuropsychological examinations. The volume of white matter hyperintensities (WMH) was compared between cognitively unimpaired carriers, cognitively impaired carriers, and non-carriers. Relationships between WMH, age, and cognitive performance were further examined in mutation carriers. Results The mean (SD) age of participants was 35.8 (9.6) years and 64% were women. Cardiovascular risk factors were uncommon and did not differ across groups. Cognitively impaired carriers [median, 6.37; interquartile range (IQR), 9.15] had an increased volume of WMH compared to both cognitively unimpaired carriers [median, 0.85; IQR, 0.79] and non-carriers [median, 1.07; IQR, 0.71]. In mutation carriers, the volume of WMH strongly correlated with cognition and age, with evidence for an accelerated rate of changes after the age of 43 years, 1 year earlier than the estimated median age of symptom onset. In multivariable regression models including cortical amyloid retention, superior parietal lobe cortical thickness, and cerebrospinal fluid phospho-tau, the volume of WMH was the only biomarker independently and significantly contributing to the total explained variance in cognitive performance. Conclusions The volume of WMH is increased among individuals with symptomatic autosomal-dominant Alzheimer’s disease, begins to increase prior to clinical symptom onset, and is an independent determinant of cognitive performance in this group. These findings suggest that WMH are a key component of autosomal-dominant Alzheimer’s disease that is closely related to the progression of clinical symptoms

White matter regions with low microstructure in young adults spatially coincide with white matter hyperintensities in older adults

Microstructural and macrostructural white matter damage occurs frequently with aging, is associated with negative health outcomes, and can be imaged non-invasively as fractional anisotropy (FA) and white matter hyperintensities (WMH), respectively. The extent to which diminished microstructure precedes or results from macrostructural white matter damage is poorly understood. This study evaluated the hypothesis that white matter areas with normatively lower microstructure in young adults are most susceptible to develop WMH in older adults. Forty-nine younger participants (age = 25.8 ± 2.8 years) underwent diffusion-weighted imaging (DWI), and 557 older participants (age = 73.9 ± 5.7 years) underwent DWI and T2-weighted magnetic resonance imaging (MRI). In older adults, WMH had a mostly periventricular distribution with higher frequency in frontal regions. We found lower FA in areas of frank WMH compared to normal-appearing white matter (NAWM) in older adults. Then, to determine if areas of normatively lower white matter microstructure spatially overlap with areas that frequently develop macrostructural damage in older age, we created a WMH frequency map in which each voxel represented the percentage of older adults with a WMH in that voxel. We found lower normative FA in young adults with regions frequently segmented as WMH in older adults. We conclude that low white matter microstructure is observed in areas of white matter macrostructural damage, but white matter microstructure is also normatively low (i.e., at ages 20–30) in regions with high WMH frequency, prior to white matter macrostructural damage

Relative contribution of white matter hyperintensity to amyloid and neurodegeneration in cognitive decline over time or clinical diagnoses in a diverse, community‐based cohort of older adults

Background: The 2018 NIA‐AA Alzheimer’s disease (AD) research framework moves towards a multiple biomarker approach to explain AD development and progression more fully. This research framework has the flexibility to incorporate various biomarkers into a full or partial amyloid‐tau‐neurodegeneration (A/T/N) profile. The objective of this study was to determine the relative contribution of white matter hyperintensities (WMH) to amyloid and neurodegeneration on cognition in a diverse, community‐based cohort of older adults. Method: A subset of cognitively healthy participants (n=155; age=69‐99yrs; 65% women, 30%/44%/26% Non‐Hispanic White/Non‐Hispanic Black/Hispanic) from the Washington Heights‐Inwood Columbia Aging Project underwent baseline Florbetaben PET (amyloid SUVR), T1‐weighted (cortical thickness[mm]) and T2‐weighted FLAIR MRI (WMH volume[cm3]), as well as subsequent neuropsychological assessments and consensus diagnoses every 1.5 years (up to 6 visits). Linear mixed effects models were used to test for change over time in language, memory, executive function, and visuospatial ability, while cox proportional hazard models were used to test for risk of developing MCI or AD. Biomarkers of interest included amyloid, cortical thickness, and WMH, adjusted for demographics (sex/gender, race/ethnicity, education). Interactions between biomarkers and time (e.g., slope differences) were evaluated as significant below 0.1. Result: In A/N/V models, higher amyloid was associated with faster rates of decline in language (B [95%CI]: ‐0.08 [‐0.13, ‐0.02]), memory (‐0.13 [‐0.21, ‐0.05]), and visuospatial ability (‐0.05 [‐0.12, 0.01]), higher WMH was associated with faster rates of decline in executive function (‐0.05 [‐0.11, 0.009]) and visuospatial ability (‐0.02 [‐0.05, 0.005]), and lower cortical thickness was associated with lower executive function scores (1.6 [0.10, 3.0]). Individuals were more likely to develop MCI or AD with higher amyloid (Hazard Ratio=4.2, [1.1, 15.9]), but not with higher WMH (1.2 [0.83, 1.7]) or lower cortical thickness (0.03 [4E‐4, 2]). Conclusion: In this imaging subsample of older community‐dwelling adults, cognitive decline is differentially associated by domain with amyloid or vascular burden, while broader, multi‐domain cognitive impairment necessary for MCI or AD diagnoses is associated with amyloid, one of the hallmark AD pathologies. Results support the use of complementary information from biomarker profiles, including traditional AD, vascular, and neurodegenerative biomarkers, to investigate AD and related dementias

Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging

https://pubmed.ncbi.nlm.nih.gov/34662699/White matter hyperintensities (WMH) are areas of increased signal visualized on T2-weighted fluid attenuated inversion recovery (FLAIR) brain magnetic resonance imaging (MRI) sequences. They are typically attributed to small vessel cerebrovascular disease in the context of aging. Among older adults, WMH are associated with risk of cognitive decline and dementia, stroke, and various other health outcomes. There has been increasing interest in incorporating quantitative WMH measurement as outcomes in clinical trials, observational research, and clinical settings. Here, we present a novel, fully automated, unsupervised detection algorithm for WMH segmentation and quantification. The algorithm uses a robust preprocessing pipeline, including brain extraction and a sample-specific mask that incorporates spatial information for automatic false positive reduction, and a half Gaussian mixture model (HGMM). The method was evaluated in 24 participants with varying degrees of WMH (4.9-78.6 cm3) from a community-based study of aging and dementia with dice coefficient, sensitivity, specificity, correlation, and bias relative to the ground truth manual segmentation approach performed by two expert raters. Results were compared with those derived from commonly used available WMH segmentation packages, including SPM lesion probability algorithm (LPA), SPM lesion growing algorithm (LGA), and Brain Intensity AbNormality Classification Algorithm (BIANCA). The HGMM algorithm derived WMH values that had a dice score of 0.87, sensitivity of 0.89, and specificity of 0.99 compared to ground truth. White matter hyperintensity volumes derived with HGMM were strongly correlated with ground truth values (r = 0.97, p = 3.9e-16), with no observable bias (-1.1 [-2.6, 0.44], p-value = 0.16). Our novel algorithm uniquely uses a robust preprocessing pipeline and a half-Gaussian mixture model to segment WMH with high agreement with ground truth for large scale studies of brain aging

Association of brain arterial diameters with demographic and anatomical factors in a multi-national pooled analysis of cohort studies

Background and purpose: Brain arterial diameters are markers of cerebrovascular disease. Demographic and anatomical factors may influence arterial diameters. We hypothesize that age, sex, height, total cranial volume (TCV), and persistent fetal posterior cerebral artery (fPCA) correlate with brain arterial diameters across populations. Methods: Participants had a time-of-flight MRA from nine international cohorts. Arterial diameters of the cavernous internal carotid arteries (ICA), middle cerebral arteries (MCA), and basilar artery (BA) were measured using LAVA software. Regression models assessed the association between exposures and brain arterial diameters. Results: We included 6,518 participants (mean age: 70 ± 9 years; 41% men). Unilateral fPCA was present in 13.2% and bilateral in 3.2%. Larger ICA, MCA, and BA diameters correlated with older age (Weighted average [WA] per 10 years: 0.18 mm, 0.11 mm, and 0.12 mm), male sex (WA: 0.24 mm, 0.13 mm, and 0.21 mm), and TCV (WA: for one TCV standard deviation: 0.24 mm, 0.29 mm, and 0.18 mm). Unilateral and bilateral fPCAs showed a positive correlation with ICA diameters (WA: 0.39 mm and 0.73 mm) and negative correlation with BA diameters (WA: -0.88 mm and -1.73 mm). Regression models including age, sex, TCV, and fPCA explained on average 15%, 13%, and 25% of the ICA, MCA, and BA diameter interindividual variation, respectively. Using height instead of TCV as a surrogate of head size decreased the R-squared by 3% on average. Conclusion: Brain arterial diameters correlated with age, sex, TCV, and fPCA. These factors should be considered when defining abnormal diameter cutoffs across populations

Regional white matter hyperintensities predict Alzheimer’s‐like neurodegeneration

BackgroundSmall vessel cerebrovascular disease, best visualized as white matter hyperintensities (WMH) on T2‐weighted MRI scanning, is associated with cognitive decline and increases risk for clinical Alzheimer’s disease (AD), particularly when it is distributed in posterior brain regions. There is much debate, however, about whether cerebrovascular disease represents a comorbidity or whether it is more fundamental to the pathogenesis of AD. The purpose of this study was to examine whether regional WMH volume predicts neurodegeneration, operationally‐defined as longitudinal decline in cortical thickness, among community‐dwelling older adults.MethodTwo hundred thirty‐eight participants(73.18+5.23 years old, 60% women, 35% APOE‐ε4 carriers, 30% non‐Hispanic White/32% Hispanic/38% Black, 14% with MCI) from the Washington Heights Inwood Columbia Aging Project (WHICAP) received high‐resolution structural 3T MRI scans at baseline and 4.09+1.57 years later. Regional WMH volume was derived with in house developed software and the FreeSurfer (v6.0) longitudinal processing stream was used to calculate change in cortical thickness. Using QDEC, we examined the relationship of total and regional WMH volume with annualized rate of decline in cortical thickness (symmetrized across the two visits) with vertex‐wise general linear models adjusted for age, sex, and APOE status. We additionally adjusted for a baseline marker of AD‐related atrophy (entorhinal cortex thickness).ResultBaseline total WMH volume predicted widespread cortical atrophy in a pattern consistent with AD‐associated atrophy, which included parahippocampal, temporal, and parietal regions. When examined regionally, the effects were most prominent for parietal lobe WMH, which predicted entorhinal cortex atrophy predominantly. Adjusting for baseline entorhinal cortical thickness did not alter the findings. In stratified analyses, the effects were strongest among Hispanic and Black participants compared with White participants, and similar across APOE groups.ConclusionWhite matter hyperintensity volume, especially in the parietal lobes, predicts Alzheimer’s‐like neurodegeneration, suggesting that small vessel cerebrovascular disease contributes to the ‘N’ aspect of the ‘A/T/N’ pathogenic models of AD. The results were independent of and stronger than baseline atrophy measures, suggesting that WMH are not simply a result of neurodegeneration. These effects may manifest differently across racial/ethnic groups, with small vessel cerebrovascular disease playing a more prominent role in future neurodegeneration among racial/ethnic minorities.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163839/1/alz044776.pd

White matter hyperintensities mediate the association of nocturnal blood pressure with cognition

Objective To test the hypotheses that hypertension and nocturnal blood pressure are related to white matter hyperintensity (WMH) volume, an MRI marker of small vessel cerebrovascular disease, and that WMHburden statistically mediates the association of hypertension and dipping status with memory functioning, we examined the relationship of hypertension and dipping status on WMH volume and neuropsychological test scores in middle-aged and older adults. Methods Participants from the community-based Maracaibo Aging Study received ambulatory 24-hour blood pressure monitoring, structural MRI, and neuropsychological assessment. Four hundred thirty-five participants (mean ± SD age 59 ± 13 years, 71% women) with available ambulatory blood pressure, MRI, and neuropsychological data were included in the analyses. Ambulatory blood pressure was used to define hypertension and dipping status (i.e., dipper, nondipper, and reverse dipper based on night/day blood pressure ratio1, respectively). Outcome measures included regional WMH and memory functioning derived from a neuropsychological test battery. Results The majority of the participants (59%) were hypertensive. Ten percent were reverse dippers, and 40% were nondippers. Reverse dipping in the presence of hypertension was associated with particularly elevated periventricular WMH volume (F2,423 = 3.78, p = 0.024) and with lowered memory scores (F2,423 = 3.911, p = 0.021). Periventricular WMH volume mediated the effect of dipping status and hypertension on memory (β = −4.1, 95% confidence interval −8.7 to −0.2, p \u3c 0.05). Conclusion Reverse dipping in the presence of hypertension is associated with small vessel cerebrovascular disease, which, in turn, mediates memory functioning. These results point toward reverse dipping as a marker of poor nocturnal blood pressure control, particularly among hypertensive individuals, with potentially pernicious effects on cerebrovascular health and associated cognitive function

Thigh-length compression stockings and DVT after stroke

Controversy exists as to whether neoadjuvant chemotherapy improves survival in patients with invasive bladder cancer, despite randomised controlled trials of more than 3000 patients. We undertook a systematic review and meta-analysis to assess the effect of such treatment on survival in patients with this disease

Alzheimer‐Related Cerebrovascular Disease in Down Syndrome

ObjectiveAdults with Down syndrome (DS) develop Alzheimer disease (AD) pathology by their 5th decade. Compared with the general population, traditional vascular risks in adults with DS are rare, allowing examination of cerebrovascular disease in this population and insight into its role in AD without the confound of vascular risk factors. We examined in vivo magnetic resonance imaging (MRI)-based biomarkers of cerebrovascular pathology in adults with DS, and determined their cross-sectional relationship with age, beta-amyloid pathology, and mild cognitive impairment or clinical AD diagnostic status.MethodsParticipants from the Biomarkers of Alzheimer's Disease in Down Syndrome study (n = 138, 50 ± 7 years, 39% women) with MRI data and a subset (n = 90) with amyloid positron emission tomography (PET) were included. We derived MRI-based biomarkers of cerebrovascular pathology, including white matter hyperintensities (WMH), infarcts, cerebral microbleeds, and enlarged perivascular spaces (PVS), as well as PET-based biomarkers of amyloid burden. Participants were characterized as cognitively stable (CS), mild cognitive impairment-DS (MCI-DS), possible AD dementia, or definite AD dementia based on in-depth assessments of cognition, function, and health status.ResultsThere were detectable WMH, enlarged PVS, infarcts, and microbleeds as early as the 5th decade of life. There was a monotonic increase in WMH volume, enlarged PVS, and presence of infarcts across diagnostic groups (CS < MCI-DS < possible AD dementia < definite AD dementia). Higher amyloid burden was associated with a higher likelihood of an infarct.InterpretationThe findings highlight the prevalence of cerebrovascular disease in adults with DS and add to a growing body of evidence that implicates cerebrovascular disease as a core feature of AD and not simply a comorbidity. ANN NEUROL 2020;88:1165-1177