Total White Matter Hyperintensities Volume Research Articles

Genetic variants underlying the neuro‐anatomical signatures of hypertension measured on structural MRI

AbstractBackgroundHypertension (HTN) is associated with gray matter (GM) atrophy and increased white matter hyperintensity (WMH) burden, increasing their susceptibility to Alzheimer’s disease and related dementias. We developed a machine learning based model to quantify spatial patterns of abnormality recognizing HTN‐related brain changes (SPARE‐HTN) from structural magnetic resonance images (sMRI). We performed a genome wide association study (GWAS) to identify the genetic variants and associated biological traits that underlie the “expression” of HTN‐related brain changes, i.e., the individualized SPARE‐HTN index.MethodSPARE‐HTN model was trained on the large multi‐study iSTAGING dataset, with regional GM volumes from T1‐weighted images and lobar WMH volumes from T2‐weighted FLAIR images used as imaging features. GWAS was carried out in a subset of N = 7490 (46% Female, Age = 65.5±7 years) hypertensive participants from UK‐Biobank. A GWAS of SPARE‐HTN scores was run using linear regression with Plink, correcting for the top 40 genetic principal components, age, sex, and intracranial volume. Significant SNPs were identified and mapped to functional genes using the Functional Mapping and Annotation (FUMA) platform; and candidate SNPs were mapped to the GWAS catalog.ResultSPARE‐HTN was associated with regional atrophy most prominent in perisylvian and temporal cortex and increased WMH volumes, particularly in frontal white matter. SPARE‐HTN scores showed better discriminative power between normal and stage 1 participants (Cohen’s‐d effect size, d = 0.2) and stage 2 (d = 0.71) hypertensive participants when compared to total WMH volume (d = 0.04 and 0.38, respectively). GWAS identified N = 321 independently significant SNPs, of which a subset N = 46 candidate SNPs were mapped to 6 genes (ICA1L, CARF, WDR12, NBEAL1, KRT8P15, CYP20A1) in Chromosome 2 (Figure 2). These genes were previously reported to be associated with several cardiovascular conditions including coronary artery disease and stroke, and with increased WM damage on sMRI and diffusion MRI (Figure 3).ConclusionThe individualized imaging marker, SPARE‐HTN, was associated with genes relevant to HTN with traits including cardiovascular conditions and higher prevalence of WMH, and was more sensitive to HTN than total WMH volume. SPARE‐HTN is a useful tool to characterize HTN‐related brain changes and monitor treatment effects at an individual level.

Genetic variants underlying the neuro‐anatomical signatures of hypertension measured on structural MRI

AbstractBackgroundHypertension (HTN) is associated with gray matter (GM) atrophy and increased white matter hyperintensity (WMH) burden, increasing their susceptibility to Alzheimer’s disease and related dementias. We developed a machine learning based model to quantify spatial patterns of abnormality recognizing HTN‐related brain changes (SPARE‐HTN) from structural magnetic resonance images (sMRI). We performed a genome wide association study (GWAS) to identify the genetic variants and associated biological traits that underlie the “expression” of HTN‐related brain changes, i.e., the individualized SPARE‐HTN index.MethodSPARE‐HTN model was trained on the large multi‐study iSTAGING dataset, with regional GM volumes from T1‐weighted images and lobar WMH volumes from T2‐weighted FLAIR images used as imaging features. GWAS was carried out in a subset of N = 7490 (46% Female, Age = 65.5±7 years) hypertensive participants from UK‐Biobank. A GWAS of SPARE‐HTN scores was run using linear regression with Plink, correcting for the top 40 genetic principal components, age, sex, and intracranial volume. Significant SNPs were identified and mapped to functional genes using the Functional Mapping and Annotation (FUMA) platform; and candidate SNPs were mapped to the GWAS catalog.ResultSPARE‐HTN was associated with regional atrophy most prominent in perisylvian and temporal cortex and increased WMH volumes, particularly in frontal white matter. SPARE‐HTN scores showed better discriminative power between normal and stage 1 participants (Cohen’s‐d effect size, d = 0.2) and stage 2 (d = 0.71) hypertensive participants when compared to total WMH volume (d = 0.04 and 0.38, respectively). GWAS identified N = 321 independently significant SNPs, of which a subset N = 46 candidate SNPs were mapped to 6 genes (ICA1L, CARF, WDR12, NBEAL1, KRT8P15, CYP20A1) in Chromosome 2 (Figure 2). These genes were previously reported to be associated with several cardiovascular conditions including coronary artery disease and stroke, and with increased WM damage on sMRI and diffusion MRI (Figure 3).ConclusionThe individualized imaging marker, SPARE‐HTN, was associated with genes relevant to HTN with traits including cardiovascular conditions and higher prevalence of WMH, and was more sensitive to HTN than total WMH volume. SPARE‐HTN is a useful tool to characterize HTN‐related brain changes and monitor treatment effects at an individual level.

The Influence of White Matter Lesion Volume on Hippocampal Shape in Patients Along the Alzheimer’s Disease Continuum

AbstractBackgroundAlzheimer’s Disease (AD) is a progressive neurocognitive disorder with irreversible hippocampal atrophy and degradation of cognitive function. Hippocampal atrophy can be assessed by volume and shape changes on MRI, and hippocampal volume is a sensitive marker for AD diagnosis and progression; however, it does not reflect regional changes within the hippocampus. Interest in shape analysis of the hippocampus is growing, as it provides more detailed assessment of morphological changes that highlight regional atrophic differences. Cerebral small vessel disease (CSVD) burden quantified as white matter lesion volume from MRI is strongly associated with hippocampal volume loss in AD and mild cognitive impairment (MCI). Our goal was to examine relationships between hippocampal morphometric features and white matter hyperintensity (WMH) volume, a measure of CSVD burden, across the AD continuum.MethodWe analyzed baseline data from 186 participants from the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core cohort whose cognitive diagnosis was adjudicated by an expert panel in accordance with NIA‐AA guidelines (without reference to AD biomarkers). Participants ranged from cognitively normal (CN) (n = 62, 72±8y), to MCI (n = 62, 73±7y), and dementia (n = 62, 73±9y). We focused on the left hippocampus and used T1‐weighted images from 3T brain MRI to generate left hippocampal segmentations and total intracranial volume estimates. Total WMH volume was estimated from FLAIR images using the lesion segmentation toolbox for SPM, it was then normalized to intracranial volume and log transformed to address skewness. Hippocampal shape analysis was performed using SlicerSALT, and a multivariate linear model was implemented to relate WMH volume to hippocampal shape features while adjusting for diagnosis, age, sex, and years of education.ResultOn the superior aspect of the hippocampus, greater WMH volume was associated with more surface contraction of the anterior portions of the CA1, CA2, CA3 and subiculum as shown in Figure 1A. Similar effects were seen on the inferior aspect as shown in Figure 1B.ConclusionThese finding suggest that higher WMH volume is associated with selective hippocampal subfield degeneration in the anterior portions of the hippocampus which may be more vulnerable to CSVD buildup.

Graph Theory Analysis of Structural Connectivity in Limbic‐predominant Age‐related TDP‐43 Encephalopathy Neuropathological Change (LATE‐NC)

AbstractBackgroundThe anatomical distribution of limbic‐predominant age‐related TDP‐43 encephalopathy neuropathological change (LATE‐NC) typically involves the amygdala, hippocampus, and other subcortical, temporal and frontal lobe regions. But its impact on the structural integrity of this network of regions remains unknown. In this study, we tested the hypothesis that LATE‐NC is associated with abnormalities in graph theoretic measures of structural connectivity in the network of regions known to be involved in LATE‐NC.MethodThis study included 148 deceased older adults participating in Rush Memory and Aging Project and Religious Orders Study (Fig.1A). Ex‐vivo diffusion tensor imaging (DTI) scans were acquired on 3T scanners, followed by detailed neuropathologic examination by a board‐certified neuropathologist (Fig.1B). Fractional anisotropy (FA) maps derived from DTI scans were used to define region‐to‐region structural connectivity in a network of 19 regions known to be involved in LATE‐NC using graph theory‐based network measures (Fig.2). General linear models were used to investigate the association of global and local graph measures with LATE‐NC stages, controlling for other neuropathologies (Alzheimer’s disease, Lewy bodies, arteriolosclerosis, atherosclerosis, cerebral amyloid angiopathy, gross and microscopic infarcts), demographics (age at death, sex, education), total white matter hyperintensity volume, postmortem intervals and scanner variables. Statistical significance was set at p<0.05.ResultLinear regression revealed that greater LATE‐NC stage was associated with increased characteristic path length and with lower values of the remaining global network measures (p<0.05) (Fig.3A). LATE‐NC was also associated with lower local efficiency, increased path length, lower nodal strength, and lower clustering coefficient in 74%, 79%, 32%, and 63% of the nodes, respectively (p<0.05) (Fig.3B). Finally, LATE‐NC was associated with both greater (in 21% of nodes) and lower (in 16% of nodes) eigenvector centrality, and with both greater and lower betweenness centrality in 21% of nodes, respectively (p<0.05) (Fig.3B).ConclusionUsing graph theory and a hypothesis‐driven approach, we found significant degradation of structural integrity in white matter of the network of regions affected by LATE‐NC. These findings may shed light on the effects of LATE‐NC on brain connectivity, and in combination with other imaging and clinical information, may aid towards the development of tools for in‐vivo detection of this devastating neuropathology.

Graph Theory Analysis of Structural Connectivity in Limbic‐predominant Age‐related TDP‐43 Encephalopathy Neuropathological Change (LATE‐NC)

AbstractBackgroundThe anatomical distribution of limbic‐predominant age‐related TDP‐43 encephalopathy neuropathological change (LATE‐NC) typically involves the amygdala, hippocampus, and other subcortical, temporal and frontal lobe regions. But its impact on the structural integrity of this network of regions remains unknown. In this study, we tested the hypothesis that LATE‐NC is associated with abnormalities in graph theoretic measures of structural connectivity in the network of regions known to be involved in LATE‐NC.MethodThis study included 148 deceased older adults participating in Rush Memory and Aging Project and Religious Orders Study (Fig.1A). Ex‐vivo diffusion tensor imaging (DTI) scans were acquired on 3T scanners, followed by detailed neuropathologic examination by a board‐certified neuropathologist (Fig.1B). Fractional anisotropy (FA) maps derived from DTI scans were used to define region‐to‐region structural connectivity in a network of 19 regions known to be involved in LATE‐NC using graph theory‐based network measures (Fig.2).General linear models were used to investigate the association of global and local graph measures with LATE‐NC stages, controlling for other neuropathologies (Alzheimer’s disease, Lewy bodies, arteriolosclerosis, atherosclerosis, cerebral amyloid angiopathy, gross and microscopic infarcts), demographics (age at death, sex, education), total white matter hyperintensity volume, postmortem intervals and scanner variables. Statistical significance was set at p<0.05.ResultLinear regression revealed that greater LATE‐NC stage was associated with increased characteristic path length and with lower values of the remaining global network measures (p<0.05) (Fig.3A). LATE‐NC was also associated with lower local efficiency, increased path length, lower nodal strength, and lower clustering coefficient in 74%, 79%, 32%, and 63% of the nodes, respectively (p<0.05) (Fig.3B). Finally, LATE‐NC was associated with both greater (in 21% of nodes) and lower (in 16% of nodes) eigenvector centrality, and with both greater and lower betweenness centrality in 21% of nodes, respectively (p<0.05) (Fig.3B).ConclusionUsing graph theory and a hypothesis‐driven approach, we found significant degradation of structural integrity in white matter of the network of regions affected by LATE‐NC. These findings may shed light on the effects of LATE‐NC on brain connectivity, and in combination with other imaging and clinical information, may aid towards the development of tools for in‐vivo detection of this devastating neuropathology.

Brain glutathione may be associated with white matter hyperintensities in patients with cardiovascular disease

AbstractBackgroundWhite matter hyperintensity (WMH) is a marker of age‐related cerebrovascular damage and is correlated with cognitive impairment; ischemia and inflammatory mechanisms have been proposed to be involved in its pathogenesis. These processes are associated with oxidative stress (OS), which may impair cellular function and affect antioxidant balance; however, the role of central antioxidant responses is still unclear.MethodPatients (age 55‐85) with ≥2 vascular risk factors or a previous vascular event were assessed at baseline for an exercise rehabilitation program. All participants completed the Montreal Cognitive Assessment (MoCA). Baseline WHM severity was determined using the standardized Canadian Dementia Imaging Protocol and semiautomatic protocols. Brain glutathione (GSH) at baseline was obtained in the anterior cingulate (AC) and occipital region (OC) using 1H magnetic resonance spectroscopy (MEscher–GArwood Point Resolved Spectroscopy). Spectroscopic analysis was completed using the Gannet toolkit (vers. 3.1) in Matlab (vers. 2020b).ResultOf 30 participants (mean age: 66.2 ± 7.42 SD; 80% male) currently enrolled, brain volumetric measurements were completed for 25 participants. Lower MoCA score was associated with greater total WMH volume, controlling for age (b[SE] = ‐0.017 [0.005], t(22) = ‐3.24, p = 0.004); this relationship remained significant when controlling for years of education separately (b[SE] = ‐0.016 [0.006], t(22) = ‐2.86, p = 0.01). Correcting for cerebrospinal fluid volume, lower AC‐GSH level was associated with higher deep WMH volume in the medial middle frontal (MMF) region of interest (b[SE] = ‐0.056 [0.023], t(23) = ‐2.38, p = 0.026), but not with MMF paraventricular WMH volume. After controlling for age, the model was no longer significant (F (2, 22) = 2.87, p = 0.078). No significant associations were found between OC‐GSH and occipital lobe WMH.ConclusionAs expected, total white matter hyperintensity volume was associated with poorer global cognition. In the medial middle frontal (MMF) region of interest, higher deep WMH was associated with lower GSH levels, suggesting altered brain antioxidant levels may be associated with the presence or formation of WMH. Recruitment is ongoing, and additional participants are needed to reinforce findings and to control for confounders in the analysis.

A multi‐center pooled analysis of individual imaging data of 14,876 non‐demented participants to create normative data for total and regional white matter hyperintensity volumes to support dementia diagnosis.

AbstractBackgroundWhite matter hyperintensities (WMH) are a common manifestation of cerebral small vessel disease and a major cause of cognitive decline and dementia. Recent studies show that the cognitive impact of WMH depends on their location in strategic white matter regions. WMH are highly prevalent among asymptomatic individuals and increase with age. For dementia diagnosis, identifying patients with excessive total and regional (strategic) WMH therefore requires age‐ and sex specific norms, which are currently lacking. We aimed to obtain normative data for both total and regional WMH volumes in non‐demented community‐dwelling individuals.MethodWe harmonized individual person data from 15 cohorts, through the Meta VCI Map consortium (www.metavcimap.org). Cohorts were eligible for inclusion if participants were recruited from the population, underwent brain MRI (with availability of FLAIR and T1 sequences) and cognitive testing. Cohorts that recruited patients based on the presence of cognitive symptoms were not eligible for inclusion. Individuals fulfilling criteria for dementia were excluded. WMH were segmented and registered to the MNI‐152 template. WMH maps were used to calculate total WMH volume and regional WMH volumes in 20 pre‐specified white matter tracts. Normative data on WMH volumes were derived from observed values in 5‐years age bands and reported as cut‐off values for percentiles. All volumes are normalized WMH volumes (i.e. calculated on the MNI‐152 template).ResultWe analyzed 14,876 individuals with a mean age of 63.9 years (SD 11.9), 52% of whom were female. Median WMH volume was 2.0 mL (normalized, IQR 3.9) for the total sample. Median WMH volume increased with age, from 0.25 mL (<45 years) to 7.3 and 12.8 mL (>85 years) for men and women respectively. The table shows total WMH volume cut‐off values for percentiles, stratified for age and sex (cut‐off values for regional WMH volumes not shown due to abstract size constraints).ConclusionThis study provides age‐ and sex‐specific normative data on total and regional WMH volumes. This enables an individualized approach to interpreting total and regional WMH burden to support diagnosis in clinical practice.

Regional White Matter Hyperintensities are Associated with Diminished Blood Flow and Microstructure in Middle Age

AbstractBackgroundWhite matter hyperintensities (WMH) are areas of increased signal visualized on T2‐weighted FLAIR magnetic resonance imaging (MRI), thought to reflect macrostructural damage due to small vessel cerebrovascular disease. Previous work established an association of WMH severity, particularly in posterior regions, with risk and progression of AD in late onset and genetic forms of AD, suggesting a vascular component to disease pathogenesis and course. Examination of the emergence and correlates of cerebrovascular changes in middle age, a critical time when vascular risk appears to be most penetrant, can give insight into mechanisms linking vascular brain injury and risk for AD. In the current study, we examined the association of cerebral blood flow (CBF) and white matter microstructure with total and regional WMH volume in middle‐aged, community dwelling adults.MethodFour hundred and ninety‐two middle‐aged participants (55+/‐11 age = 28 ‐85 years) from the community‐based Offspring Study of Mechanisms for Racial Disparities in Alzheimer’s Disease received multi‐modal MRI scanning. Regional WMH volumes were derived with in‐house software that labeled clusters of voxels within a hyperintense intensity distribution. Pulsed arterial spin labeling (PASL) sequences were processed to quantify CBF. Fractional anisotropy (FA) maps were obtained from diffusion weighted data. Total and regional WMH volumes were used as predictors for whole brain voxel‐wise correlation analyses in separate models for CBF and FA.ResultThere were negative associations between WMH volume and CBF in frontal, parietal, and occipital regions. Higher white matter hyperintensity volume was associated with lower FA, particularly in the periventricular region.ConclusionWe found associations of increased WMH volume with diminished blood flow and white matter microstructure. Future studies are needed to explain the relationship between these changes and the risk of cognitive impairment in middle aged adults and risk for AD.

Cerebrovascular disease is associated with memory function in the Health and Aging in Africa Longitudinal Study of an INDEPTH community in rural South Africa

AbstractBackgroundHealth and Aging in Africa Longitudinal Study of an INDEPTH community in South Africa (HAALSI) is a sister study to the US‐based Health and Retirement Study. The purpose of HAALSI is to characterize the social, economic, biological, physical, and mental health factors in a population‐representative cohort of older adults in a rural community in Agincourt, South Africa. Beginning in 2020, as part of an Alzheimer’s disease and related disorders (ADRD) substudy, we conducted neuropsychological evaluations and structural magnetic resonance imaging (MRI) in a subset of HAALSI participants. Here, we report preliminary observations on the relationship of white matter hyperintensity (WMH) volume, a marker of small vessel cerebrovascular disease, and hippocampal volume, a marker of neurodegeneration, on memory function in a group of substudy participants.MethodNinety‐nine HAALSI ADRD participants with available MRI scans and neuropsychological outcomes at time of analysis (mean ± SD; age = 70.3 ± 10.9, 87% with no formal education or some primary education) were included in these analyses. Participants received research‐grade, harmonized 1.5T MRI scanning at a private hospital and were evaluated with a battery of neuropsychological tests. Using in‐house developed software and FreeSurfer, respectively, we derived total WMH volume and total hippocampal volume. We examined the association of these variables with memory function, operationalized as the delayed recall score of the Logical Memory Test, adapted for context.ResultAdjusting for education level, increased WMH volume was associated with poorer performance on the Logical Memory Test (standardized β = ‐0.21, p<0.05) but hippocampal volume was not (standardized β = 0.09, p = 0.41). Associations of these MRI markers with memory function did not interact with education level.ConclusionIn these preliminary analyses of older adults in a rural South African community, markers of small vessel cerebrovascular disease but not neurodegeneration are associated with poorer cognitive outcomes. Future work will examine the pathways that give rise to cognitive impairment and dementia in this rural South African population and track cognitive trajectories over time.

Total and posterior cerebral blood flow is associated with white matter hyperintensity volume and Alzheimer’s‐like patterns of brain atrophy in older adults

AbstractBackgroundSmall vessel cerebrovascular disease, often visualized as white matter hyperintensities (WMH) on T2‐weighted MRI scans, contributes to risk, progression, and, possibly, pathogenesis of Alzheimer’s disease (AD). When considered in the context of previous neuroimaging biomarker work in AD, WMH appear to colocalize with other markers of disease risk and progression, including metabolic changes, atrophy, and tau pathology, in areas perfused by the posterior circulation. In the current study, we used a novel MR‐based method, termed phase contrast, to quantitate total cerebral blood flow in anterior and posterior circulations and test its relationship with WMH volume and an AD‐like pattern of brain atrophy in older, community‐dwelling adults.MethodTwo hundred forty‐five older adult participants (77±5.6 mean±SD age, 66% women, 42% Latinx, 30% Black, and 28% White individuals) in the Washington Heights Inwood Columbia Aging Project (WHICAP) received T1‐weighted, T2‐weighted (FLAIR), and phase contrast MR imaging. 2D phase contrast imaging can be used to quantify absolute blood flow rates with cross‐sectional velocity‐encoding of major vasculature leading into the brain. Blood flow rates in the anterior circulation (carotid arteries) and posterior circulation (vertebral arteries) were derived with Medis QFlow 4.0. WMH volume and cortical thickness in AD‐signature regions were derived with in‐house software and FreeSurfer v6.0, respectively. Separate general linear models tested the association of total, anterior, and posterior blood flow rates with WMH volumes and AD‐signature cortical thickness.ResultLower total cerebral blood flow was associated with increased total WMH volume (β = ‐0.14, p<0.05, 95%CI [‐1.37E‐2, ‐7.32E‐4]), an effect that was stronger for posterior flow (β_posterior = ‐0.17, 95%CI [‐3.7E‐2, 2.5E3], β_anterior = ‐0.11, 95%CI [‐1.9E‐2, 5.4E3]). Lower posterior blood flow specifically was associated with lower AD‐signature cortical thickness, but only in older participants (age interaction term: β = ‐3.14, p<0.01, 95%CI [‐2.0E‐4, ‐3.5E‐5]).ConclusionLower total cerebral blood flow, particularly in the posterior circulation, is associated with increased WMH volume and decreased cortical thickness, two neuroimaging markers that are implicated in risk and progression of AD. Future work that examines whether or how diminished total cerebral blood flow accounts for the colocalization of AD biomarkers across modalities will provide insight into the vascular contributions to AD.

5 Vascular Depression in Older Black Adults: White Matter Hyperintensities, Cognition, and Gait Speed

Objective:brain white matter integrity as a result of vascular burden is associated with a form of late-life depression, known as vascular depression (VaDep). Black older adults may be particularly vulnerable to developing VaDep due to a higher prevalence of vascular conditions compared to White older adults. The current study examined whether clinical and imaging markers of vascular burden predicted depressive symptoms in an older Black sample. Based on the literature in primarily White samples, we expected greater clinical vascular burden and white matter hyperintensity (WMH) volume to predict greater depressive symptoms both cross-sectionally and over 4-year follow-up. We additionally hypothesized that participants with operationally-defined VaDep would have worse cognitive performance and slower gait speed compared to those without VaDep. Exploratory analyses examined race (Black vs. White) as an additional predictor.Participants and Methods:This study used publicly available data from 113 Black older adults who were followed for four years in the Healthy Brain Project (a substudy of the Health, Aging, and Body Composition Study). Clinical vascular burden was defined as the number of vascular conditions (e.g., hypertension, diabetes, stroke); total WMH volume and WMH volume in the uncinate fasciculus, superior longitudinal fasciculus, and cingulum were considered imaging markers of vascular burden. Clinical and imaging-defined vascular burden were used to predict baseline depressive symptoms and average depressive symptoms over follow-up as measured by the Center for Epidemiologic Studies Depression Scale (CES-D). We then formed groups based on cutoffs for vascular burden (two or more conditions) and depressive symptoms (upper tertile of CES-D scores) to compare cognitive (Digit Symbol Substitution Test and 15-Item Executive Interview) and gait speed performance at baseline and changes over four years in VaDep, non-vascular depression, vascular only, and healthy groups. Exploratory analyses included 179 White older adults from the Healthy Brain Project dataset to examine race differences.Results:Total WMH volume and WMH volume in the uncinate fasciculus predicted higher depressive symptoms both cross-sectionally and longitudinally. However, no similar pattern emerged when using clinically-defined vascular burden as the predictor. The VaDep group had the slowest processing speed but the trajectory of decline over time did not differ between groups. The non-vascular depression group’s executive performance improved over time while performance by the other groups remained stable. Both VaDep and non-vascular depression groups’ gait speed declined over time. There was a stronger association between depression and uncinate fasciculus WMH in Black compared to White individuals, and the Black VaDep group had the slowest baseline processing speed of all groups.Conclusions:This research supports the validity of the VaDep framework in Black older adults by showing the impact of WMH, particularly in the uncinate fasciculus, on depressive symptoms and identifying cognitive risks associated with VaDep in this population. Moreover, results suggest WMH may confer a greater risk for depression in Black compared to White older adults, and that VaDep disproportionately impacts processing speed in Black older adults. This work addresses an important gap in the VaDep literature by examining a group that has historically been underserved.

29 Vascular Burden Mediates the Relationship Between ADHD and Cognition in Older Adults

Objective:Accumulating evidence from case-control and population studies suggests attention-deficit/hyperactivity disorder (ADHD) confers a 2- to 5-fold risk of all-cause dementia later in life. Here, we investigate vascular burden as a potential mediator of this relationship, because vascular integrity is well known to be compromised in ADHD (due to chronic obesity, diabetes, and hypertension) and is also a robust risk factor for neurodegeneration (due to reduced cerebral blood flow). We use brain white matter hyperintensities (WMH) as a measure of vascular burden.Participants and Methods:Thirty-nine adults aged 48-81 years with clinical ADHD, and 37 matched controls, completed neuropsychological testing and 1.5 T structural neuroimaging. None had stroke. Cognitive tests were demographically-adjusted to Z scores using regression-based norms generated from the control group, and averaged across tests within domains of short- and long-term verbal memory (forward digit span, California Verbal Learning Test, Logical Memory), visual memory (Visual Recognition, Rey Complex Figure), processing speed (coding, trails A, Stroop word-reading and color-naming), language (Boston Naming Test, semantic fluency), visuoconstruction (clock drawing, Rey Complex Figure copy), and executive function (backward digit span, trails B, phonemic fluency, Stroop inhibition, Wisconsin Card Sorting Test). Total WMH volumes (i.e., combined periventricular and deep) within subcortical, temporal, frontal, parietal, and occipital regions were individually divided by regional volumes to produce a proportion of each region representing WMH, then log-transformed to correct for skew. Age-corrected linear regression quantified total effects of ADHD on cognition; when these were significant, mediation models quantified the direct effects of ADHD on WMH volumes and the direct effect of WMH volumes on cognition. Sobel’s test estimated indirect effects of ADHD on cognition via WMH.Results:Group had a significant total effect on Processing Speed (ß=-1.154, p<.001) and on Executive Functioning (ß=-0.587, p=.004), where ADHD participants had lower composite scores (M=-1.10, SD=1.76 and M=-0.54, SD=1.14 respectively) than controls (M=0.02, SD=0.74; M=0.00, SD=0.49). Only frontal-lobe WMH had direct effects on Processing Speed (ß=-0.315, p=.012) and Executive Functioning (ß=-0.273, p<.001). The direct effect of ADHD on frontal WMH was significant (ß=-0.734, p=.016), and Sobel’s tests supported an indirect effect of ADHD on Executive Functioning (z=2.079, p=.038) but not Processing Speed (z=1.785, p=.074) via WMH. Because the effect of ADHD on WMH was negative (i.e., fewer WMH in ADHD) despite worse cognition than controls, we tested the a posteriori hypothesis that WMH burden may be relatively more deleterious for ADHD than controls. We found considerably stronger negative correlations between total WMH volumes and Processing Speed (r=-.423, p=.009) and Executive Functioning (r=-.528, p<.001) in the ADHD group than in controls (r=-.231, p=.175 and r=-.162, p=.346, respectively), even though total whole-brain proportion of WMH (M=0.15%, SD=0.27; Mann-Whitney l/=430.0, p=.002) and frontal-lobe proportion of WMH volumes (M=0.33%, SD=0.51; Mann-Whitney U=464.0, p=.007) were lower in ADHD than in controls (M=0.29%, SD=0.42 and M=0.66%, SD=0.88, respectively).Conclusions:WMH burden contributes significantly to the relationship between ADHD and cognition, but ADHD remains an independent contributor to worse processing speed and executive functioning in older adults. Vascular burden may have relatively more deleterious effects on cognition in ADHD, potentially due to decades of accumulated allostatic load, whereas healthy controls can accumulate greater amounts of WMH before cognition is impacted.

44 Can Clinical Trial data Inform our Understanding of the role of Depressive Symptoms in Alzheimer's Disease?

Objective:Neuropsychiatric symptoms concerning mood are common in Alzheimer's disease (AD), but it is unclear if they are etiologically related to AD pathophysiology or due to factors considered to be non-pathogenic, such as small vessel cerebrovascular disease. New generation clinical trials for AD often enroll participants with evidence of AD pathophysiology, indexed by amyloid PET scanning, but who are cognitively asymptomatic. We used screening data from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) study to examine the extent to which depressive symptoms are associated with amyloid pathophysiology and small vessel cerebrovascular disease, in the form of white matter hyperintensities (WMH).Participants and Methods:The A4 study randomizes cognitively healthy older adults with evidence of amyloid pathophysiology on PET scanning. We used screening data, which included amyloid status (positive, negative) by visual read, amyloid PET standard uptake value ratio (SUVR) in cortical regions, and MRI data acquired in a subset (n=1,197, mean age 71.6 +/- 4.8 years, 57% women) to quantitate total WMH volume. Depressive symptoms were evaluated with the 15-item Geriatric Depression Scale, which we used both as a continuous variable and to define 'depressed' and 'non-depressed' groups, based on a cut score of > 5. We examined whether 1) depressive symptoms and proportion of depressed individuals differed between amyloid positive and negative groups, 2) there is a relationship between amyloid SUVR and depressive symptoms that differs as a function of amyloid positivity status, and 3) there is a relationship between WMH volume and depressive symptoms that differs as a function of amyloid positivity status.Results:Although depressive symptom severity did not differ between groups (t=0.14, p=0.88), a greater proportion of individuals were classified as depressed in the amyloid negative group than the amyloid positive group (3.5% vs. 1.9%, X2=4.60, p=0.032). Increased amyloid SUVR was associated with increased GDS scores among amyloid positive individuals (r=0.117, p=0.002) but not among amyloid negative individuals (r=0.006, p=0.68, Positivity Status x SUVR interaction on GDS: ß=0.817, p=0.029). Increased WMH was associated with higher GDS scores (ß=0.105, p=0.017) but not differentially in amyloid positive and negative participants (Positivity Status x WMH interaction on GDS: ß=-0.010, p=0.243).Conclusions:These analyses have several implications. First, individuals who are screened to participate in a clinical trial but do not have evidence of amyloidosis may be misattributing concerns about underlying AD pathophysiology to depressive symptoms. Second, the severity of AD pathophysiology, indexed by amyloid PET SUVR, may drive a small increase in depressive symptomatology among individuals over visual diagnostic thresholds. Third, small vessel cerebrovascular changes are additionally associated with depressive symptoms but in a manner that is independent of AD pathophysiology. Overall, depressive symptoms and depression are likely multiply determined among prospective clinical trial participants for preclinical AD.

Ambient Air Pollution Exposure and Cerebral White Matter Hyperintensities in Older Adults: A Cross-Sectional Analysis in the Three-City Montpellier Study.

Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive health, and this could be related to the effect of air pollution on vascular health. We aim to evaluate the association between air pollution exposure and a magnetic resonance imaging (MRI) marker of cerebral vascular burden, white matter hyperintensities (WMH). This cross-sectional analysis used data from the French Three-City Montpellier study. Randomly selected participants 65-80 years of age underwent an MRI examination to estimate their total and regional cerebral WMH volumes. Exposure to fine particulate matter (), nitrogen dioxide (), and black carbon (BC) at the participants' residential address during the 5 years before the MRI examination was estimated with land use regression models. Multinomial and binomial logistic regression assessed the associations between exposure to each of the three pollutants and categories of total and lobar WMH volumes. Participants' () median age at MRI was 70.7 years [interquartile range (IQR): 6.1], and 52% () were women. Median exposure to air pollution over the 5 years before MRI acquisition was 24.3 (IQR: 1.7) for , 48.9 (14.6) for , and 2.66 (0.60) for BC. We found no significant association between exposure to the three air pollutants and total WMH volume. We found that exposure was significantly associated with higher risk of temporal lobe WMH burden [odds ratio (OR) for an (95% confidence interval: 1.41, 2.36) for the second volume tercile, 2.04 (1.59, 2.61) for the third volume tercile, reference: first volume tercile]. Associations for other regional WMH volumes were inconsistent. In this population-based study in older adults, exposure was associated with increased risk of high WMH volume in the temporal lobe, strengthening the evidence on adverse effect on the brain. Further studies looking at different markers of cerebrovascular damage are still needed to document the potential vascular effects of air pollution. https://doi.org/10.1289/EHP12231.

Is coronary artery calcium an independent risk factor for white matter hyperintensity?

BackgroundCardiovascular diseases have been considered the primary cause of disability and death worldwide. Coronary artery calcium (CAC) is an important indicator of the severity of coronary atherosclerosis. This study is aimed to investigate the relationship between CAC and white matter hyperintensity (WMH) in the context of diagnostic utility.MethodsA retrospective analysis was conducted on 342 patients with a diagnosis of WMH on magnetic resonance images (MRI) who also underwent chest computed tomography (CT) scans. WMH volumes were automatically measured using a lesion prediction algorithm. Subjects were divided into four groups based on the CAC score obtained from chest CT scans. A multilevel mixed-effects linear regression model considering conventional vascular risk factors assessed the association between total WMH volume and CAC score.ResultsOverall, participants with coronary artery calcium (CAC score > 0) had larger WMH volumes than those without calcium (CAC score = 0), and WMH volumes were statistically different between the four CAC score groups, with increasing CAC scores, the volume of WMH significantly increased. In the linear regression model 1 of the high CAC score group, for every 1% increase in CAC score, the WMH volume increases by 2.96%. After including other covariates in model 2 and model 3, the β coefficient in the high CAC group remains higher than in the low and medium CAC score groups.ConclusionIn elderly adults, the presence and severity of CAC is related to an increase in WMH volume. Our findings suggest an association between two different vascular bed diseases in addition to traditional vascular risk factors, possibly indicating a comorbid mechanism.

White matter hyperintensities: a possible link between sarcopenia and cognitive impairment in patients with mild to moderate Alzheimer's disease.

Alzheimer's disease (AD) has been reported to be associated with sarcopenia. White matter hyperintensities (WMH) are common in AD patients. However, the effect of WMH on sarcopenia in AD remains unclear. We hence aimed to investigate the possible association between regional WMH volumes and sarcopenic parameters in AD. 57 mild to moderate AD patients and 22 normal controls (NC) were enrolled. Sarcopenic parameters were assessed, including appendicular skeletal mass index (ASMI), grip strength, 5-times sit-to-stand (5-STS) time, and gait speed. The volumes of periventricular hyperintensities (PVH) and deep white matter hyperintensities (DWMH) were quantified using 3D-slicer software. AD subjects exhibited a lower ASMI, a slower gait speed, an increased 5-STS time, and larger volumes of PVH and DWMH than those in the NC group. In AD subjects, total WMH and PVH volumes were related to cognitive impairment, particularly executive function decline. Moreover, total WMH volume and PVH volume were negatively correlated with gait speed across various clinical stages of AD. Multiple linear regression analysis showed that PVH volume was independently associated with 5-STS time and gait speed, whereas DWMH volume was only independently associated with gait speed. WMH volume was associated with cognitive decline and various sarcopenic parameters. It thereby suggested that WMH may serve as the connection between sarcopenia and cognitive dysfunction in AD. Further studies are needed to confirm these findings and to determine whether sarcopenia interventions reduce WMH volume and improve cognitive function in AD.

How white matter hyperintensities impacts Alzheimer’s disease and frontotemporal dementia across underrepresented Latin American samples

AbstractBackgroundWhite matter hyperintensities (WMH) are frequently observed on MRI scans of older people. Usually interpreted as a sign of cerebrovascular disease (CVD), they are also associated with increased risk of cognitive impairment and dementia. While WMH and CVD are highly prevalent in Alzheimer’s disease (AD), this has been less studied in behavioral variant frontotemporal dementia (bvFTD), letting alone their study in underrepresented populations with increased CVD. Here, we investigated WMH in AD and bvFTD patients in Latin America (Argentina, Chile and Colombia), a region with high prevalence of CVD. We analyzed total volume and regional distribution of WMH and its association with cognitive impairment and brain lacunes, a marker of CVD.MethodA total of 66 patients (43 AD, 23 bvFTD) and 66 controls (CN) from the ReDLat consortium underwent high‐resolution brain MRI and neuropsychological examination. WMH were extracted from Flair images using automated segmentation algorithms to perform analyses of total volume and spatial distribution. Brain lacunes were visually quantified from T1 and Flair images. Group differences in total and regional WMH volume and associations with different cognitive domains, age, and brain lacunes were examined.ResultTotal and regional WMH volumes were significant larger in AD patients compared to CN and to bvFTD. No differences were found between CN and bvFTD. Only in AD, regional WMH load correlated with worse performance in a particular executive functioning task. No differences were found in the proportion of lacunes among groups nor in the total load of WMH of subjects with or without lacunes. In CN and AD, but not FTD, there was a positive correlation between total WMH volume and age, with a differential topographic distribution with a selective involvement of the bilateral cingulum‐hippocampus bundle in AD.ConclusionEnhanced WMH was observed in AD but not in FTD. WMH loading in specific brain regions contribute to domain‐specific cognitive deficits in AD. WMH could be partially independent of vascular pathology (it was unrelated to brain lacunes) suggesting a specific neurodegenerative origin in AD. The typical earlier onset of brain abnormalities in FTD could mask the age‐related increase in WMH.

White matter hyperintensities in strategic tracts for cognitive impairment: A multicenter lesion‐symptom mapping study in 3525 memory clinic patients

AbstractBackgroundWhite matter hyperintensities (WMH) due to small vessel disease (SVD) are associated with dementia risk. Previous studies suggest that the cognitive impact of WMH depends on location. However, these studies were potentially limited by moderate brain lesion coverage. We aimed to identify strategic WMH locations for cognitive impairment in memory clinic patients by performing a large‐scaled multicenter study providing unprecedented lesion coverage.MethodIndividual patient neuropsychological and MRI data from eleven memory clinic cohorts were harmonized. Voxel based lesion symptom mapping‐ (VLSM) and region of interest (ROI) based analyses were performed to identify strategic WMH locations for four cognitive domains (attention and executive functioning, information processing speed, verbal memory, and language). A strategic WMH score was calculated based on quartiles of WMH volumes in the strategic white matter tracts and was related to cognition using Lasso regression, accounting for multicollinearity, and multivariable linear mixed models.ResultThe combined sample consisted of 3525 patients (age: 71.6 ± 9.0 years; 49.9% female) (Table 1). The WMH prevalence maps are shown in Figure 1. In the merged study sample, 63.0% of the supratentorial white matter was affected by WMH in ≥5 patients and could be included in the VLSM analysis. In the VLSM analysis, statistically significant voxels were found for each of the four cognitive domains, after correction for total WMH volume and multiple testing. These voxels were mostly located in the left and right anterior thalamic radiation and the forceps major. Independent ROI based analysis confirmed these strategic tracts and additionally identified the left inferior fronto‐occipital fasciculus as significant tract (Table 2). The strategic WMH score was significantly associated with lower performance on attention & executive functioning (B‐0.146; p<0.001), information processing speed (B‐0.090, p = 0.023), language (B‐0.124, p = 0.003), and verbal memory (B‐0.128, p<0.001), independent of total WMH volume, age, sex, education, brain parenchymal fraction, and study site.ConclusionThis large multicenter study provides strong evidence that the cognitive impact of WMH in memory clinic patients depends on location and identified four significant white matter tracts. With further refinement, WMH location might become a useful diagnostic biomarker for SVD‐related cognitive impairment.

An Investigation of the Relationship Between Carotid Artery Stenosis and White Matter Hyperintensities.

Introduction White matter hyperintensities (WMHs) are frequently detected on magnetic resonance imaging (MRI) with age. Although the etiology of WMH has not been fully explained, it was reported to be associated with internal carotid artery (ICA) stenosis as well as small vessel diseases. The number and volume of these lesions might increase in cases of internal carotid artery (ICA) stenosis. The present study aimed to calculate the localization and volumes of white matter lesions in the VolBrain Program and investigate the relationship between age and sex in patients with symptomatic and asymptomatic internal carotid artery stenosis. Methods MRI scans of patients with carotid stenosis with T1-weighted and fluid-attenuated inversion recovery (FLAIR) sequences were performed retrospectively for the present study, which had a retrospective design. The patients were divided into two groups (<70% and ≥70%) because endovascular intervention was considered in patients with asymptomatic stenosis over 70%. Digital subtraction angiography was used to detect carotid artery stenosis. They were also divided into four groups.According to laterality and degree of stenosis, ICA stenosis was separated as those with <70% stenosis on both sides (group 1), right side ICA <70%, left side ≥70% stenosis (group 2), right side ICA ≥70%, left side <70% stenosis (group 3), and ≥70% stenosis on both sides (group 4). A total of 102 patient images were selected that met the inclusion criteria. The measurements of white matter lesion volumes were made using the LesionBrain application in the VolBrain Program. Results The MRI of 82 patients (mean age: 65.55 ± 9.28 years), 28 females and 54 males, were used in the present study. According to LesionBrain Analysis, the total WMH volume was seen in the first and third groups at most. When analyzed in regional terms, stenosis was mostly detected in the first and third groups in the periventricular region. WMH volume was less in all areas in group 4. When examined according to the number of lesions, the most lesions were detected in the third group in the juxtacortical region. When the difference between the groups was examined, a significant difference was detected only in the volume change in the deep white region (p=0.011). No significant differences were found between WMH volumes and age and gender (p>0.05). Conclusion Stenosis of the external internal carotid artery might cause hypoperfusion and silent embolization in the brain. As a result, as well as pathological conditions in cortical areas, ischemic areas in the white matter might also cause cognitive disorders.

Association of blood pressure with brain perfusion and structure: A population-based prospective study

PurposeTo explore the association of blood pressure (BP) measurements with cerebral blood flow (CBF) and brain structure in general population. MethodThis prospective study included 902 participants from Kailuan community. All participants underwent brain MRI and BP measurements. The association of BP indicators with CBF, brain tissue volume and white matter hyperintensity (WMH) volume were investigated. In addition, mediation analysis was used to determine whether significantly changed brain tissue volume explained associations between BP and CBF. ResultsElevated diastolic BP (DBP), but not systolic BP (SBP), was associated with lower CBF in the total brain (β [95 % CI]: −0.62 [−1.14, −0.10]), total gray matter (β [95 % CI]: −0.71 [−1.27, −0.14]), hippocampus (β [95 % CI]: −0.59 [−1.13, −0.05]), frontal (β [95 % CI]: −0.72 [−1.31, −0.13]), parietal (β [95 % CI]: −0.92 [−1.54, −0.3]), temporal (β [95 % CI]: −0.63 [−1.18, −0.08]), and occipital lobe (β [95 % CI]: −0.69 [−1.37, −0.01]). Higher SBP and DBP were associated with reduced total and regional brain tissue volume (all p < 0.05). Increased SBP and PP were associated with higher total and periventricular WMH volume (all p < 0.05). In addition, mediation analysis identified that significantly decreased brain volume did not mediate the associations of BP measurements and lower CBF in corresponding region (all p > 0.05). ConclusionsElevated BP level was associated with decreased total and regional CBF and brain tissue volume and increased WMH burden.