Brain MRI Measures Research Articles

Lipid and brain volumetric measures in multiple sclerosis patients: findings from a large observational study

ObjectivesThis study aimed to investigate relationships between cholesterol profile, brain volumetric MRI, and clinical measures in a large observational cohort of multiple sclerosis (MS) patients.Materials and methodsWe included 1.505 patients with 4.966 time points including complete lipid, clinical, and imaging data. The time among lipid, brain MRI and clinical measures was under 90 days. Cross-sectional statistical analysis at baseline was performed using an adjusted linear regression and analysis of longitudinal lipid and MRI measures data was performed using adjusted linear mixed models.ResultsWe found associations between higher high-density lipoprotein cholesterol (HDL-C) and lower brain parenchymal fraction (BPF) at cross-sectional analysis at baseline (B = −0.43, CI 95%: −0.73, −0.12, p = 0.005), as well as in longitudinal analysis over follow-up (B = −0.32 ± 0.072, χ2 = 36.6; p = < 0.001). Higher HDL-C was also associated with higher T2-lesion volume in longitudinal analysis (B = 0.11 ± 0.023; χ2 = 23.04; p = < 0.001). We observed a weak negative association between low-density lipoprotein cholesterol (LDL-C) levels and BPF at baseline (B = −0.26, CI 95%: −0.4, −0.11, p = < 0.001) as well as in longitudinal analysis (B = −0.06 ± 0.03, χ2 = 4.46; p = 0.03). T2-LV did not show an association with LDL-C. We did not find any association between lipid measures and disability. The effect of lipid levels on MRI measures and disability was minimal (Cohen f2 < 0.02).ConclusionsOur results contradict the previously described exclusively positive effect of HDL-C on brain atrophy in patients with MS. Higher LDL-C was weakly associated with higher brain atrophy but not with higher lesion burden.

Macro- and Microstructural White Matter Differences in Neurologic Postacute Sequelae of SARS-CoV-2 Infection.

Neuropsychiatric complications of SARS-CoV-2 infection, also known as neurologic postacute sequelae of SARS-CoV-2 infection (NeuroPASC), affect 10%-60% of infected individuals. There is growing evidence that NeuroPASC is a multi system immune dysregulation disease affecting the brain. The behavioral manifestations of NeuroPASC, such as impaired processing speed, executive function, memory retrieval, and sustained attention, suggest widespread WM involvement. Although previous work has documented WM damage following acute SARS-CoV-2 infection, its involvement in NeuroPASC is less clear. We hypothesized that macrostructural and microstructural WM differences in NeuroPASC participants would accompany cognitive and immune system differences. In a cross-sectional study, we screened a total of 159 potential participants and enrolled 72 participants, with 41 asymptomatic controls (NoCOVID) and 31 NeuroPASC participants matched for age, sex, and education. Exclusion criteria included neurologic disorders unrelated to SARS-CoV-2 infection. Assessments included clinical symptom questionnaires, psychometric tests, brain MRI measures, and peripheral cytokine levels. Statistical modeling included separate multivariable regression analyses of GM/WM/CSF volume, WM microstructure, cognitive, and cytokine concentration between-group differences. NeuroPASC participants had larger cerebral WM volume than NoCOVID controls (β = 0.229; 95% CI: 0.017-0.441; t = 2.16; P = .035). The most pronounced effects were in the prefrontal and anterior temporal WM. NeuroPASC participants also exhibited higher WM mean kurtosis, consistent with ongoing neuroinflammation. NeuroPASC participants had more self-reported symptoms, including headache, and lower performance on measures of attention, concentration, verbal learning, and processing speed. A multivariate profile analysis of the cytokine panel showed different group cytokine profiles (Wald-type-statistic = 44.6, P = .046), with interferon (IFN)-λ1 and IFN-λ2/3 levels higher in the NeuroPASC group. NeuroPASC participants reported symptoms of lower concentration, higher fatigue, and impaired cognition compatible with WM syndrome. Psychometric testing confirmed these findings. NeuroPASC participants exhibited larger cerebral WM volume and higher WM mean kurtosis than NoCOVID controls. These findings suggest that immune dysregulation could influence WM properties to produce WM volume increases and consequent cognitive effects and headaches. Further work will be needed to establish mechanistic links among these variables.

Cerebrospinal Fluid-In Gradient of Cortical and Deep Gray Matter Damage in Multiple Sclerosis.

A CSF-in gradient in cortical and thalamic gray matter (GM) damage has been found in multiple sclerosis (MS). We concomitantly explored the patterns of cortical, thalamic, and caudate microstructural abnormalities at progressive distances from CSF using a multiparametric MRI approach. For this cross-sectional study, from 3T 3D T1-weighted scans, we sampled cortical layers at 25%-50%-75% depths from pial surface and thalamic and caudate bands at 2-3-4 voxels from the ventricular-GM interface. Using linear mixed models, we tested between-group comparisons of magnetization transfer ratio (MTR) and R2* layer-specific z-scores, CSF-in across-layer z-score changes, and their correlations with clinical (disease duration and disability) and structural (focal lesions, brain, and choroid plexus volume) MRI measures. We enrolled 52 patients with MS (33 relapsing-remitting [RRMS], 19 progressive [PMS], mean age: 46.4 years, median disease duration: 15.1 years, median: EDSS 2.0) and 70 controls (mean age 41.5 ± 12.8). Compared with controls, RRMS showed lower MTR values in the outer and middle cortical layers (false-discovery rate [FDR]-p ≤ 0.025) and lower R2* values in all 3 cortical layers (FDR-p ≤ 0.016). PMS had lower MTR values in the outer and middle cortical (FDR-p ≤ 0.016) and thalamic (FDR-p ≤ 0.048) layers, and in the outer caudate layer (FDR-p = 0.024). They showed lower R2* values in the outer cortical layer (FDR-p = 0.003) and in the outer thalamic layer (FDR-p = 0.046) and higher R2* values in all 3 caudate layers (FDR-p ≤ 0.031). Both RRMS and PMS had a gradient of damage, with lower values closer to the CSF, for cortical (FDR-p ≤ 0.002) and thalamic (FDR-p ≤ 0.042) MTR. PMS showed a gradient of damage for cortical R2* (FDR-p = 0.005), thalamic R2* (FDR-p = 0.004), and caudate MTR (FDR-p ≤ 0.013). Lower MTR and R2* of outer cortical, thalamic, and caudate layers and steeper gradient of damage toward the CSF were significantly associated with older age, higher T2-hyperintense white matter lesion volume, higher thalamic lesion volume, and lower brain volume (β ≥ 0.08, all FDR-p ≤ 0.040). Lower MTR of outer caudate layer was associated with more severe disability (β = -0.26, FDR-p = 0.040). No correlations with choroid plexus volume were found. CSF-in damage gradients are heterogeneous among different GM regions and through MS course, possibly reflecting different dynamics of demyelination and iron loss/accumulation.

Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study

Examining underlying neurostructural correlates of specific cognitive abilities is practically and theoretically complicated by the existence of the positive manifold (all cognitive tests positively correlate): if a brain structure is associated with a cognitive task, how much of this is uniquely related to the cognitive domain, and how much is due to covariance with all other tests across domains (captured by general cognitive functioning, also known as general intelligence, or ‘g’)? We quantitatively address this question by examining associations between brain structural and diffusion MRI measures (global tissue volumes, white matter hyperintensities, global white matter diffusion fractional anisotropy and mean diffusivity, and FreeSurfer processed vertex-wise cortical volumes, smoothed at 20mm fwhm) with g and cognitive domains (processing speed, crystallised ability, memory, visuospatial ability). The cognitive domains were modelled using confirmatory factor analysis to derive both hierarchical and bifactor solutions using 13 cognitive tests in 697 participants from the Lothian Birth Cohort 1936 study (mean age 72.5 years; SD = .7). Associations between the extracted cognitive factor scores for each domain and g were computed for each brain measure covarying for age, sex and intracranial volume, and corrected for false discovery rate.There were a range of significant associations between cognitive domains and global MRI brain structural measures (r range .008 to .269, p < .05). Regions implicated by vertex-wise regional cortical volume included a widespread number of medial and lateral areas of the frontal, temporal and parietal lobes. However, at both global and regional level, much of the domain-MRI associations were shared (statistically accounted for by g). Removing g-related variance from cognitive domains attenuated association magnitudes with global brain MRI measures by 27.9–59.7% (M = 46.2%), with only processing speed retaining all significant associations. At the regional cortical level, g appeared to account for the majority (range 22.1–88.4%; M = 52.8% across cognitive domains) of regional domain-specific associations. Crystallised and memory domains had almost no unique cortical correlates, whereas processing speed and visuospatial ability retained limited cortical volumetric associations. The greatest spatial overlaps across cognitive domains (as denoted by g) were present in the medial and lateral temporal, lateral parietal and lateral frontal areas.

Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing.

To compare brain MRI measures between Adult Changes in Thought (ACT) participants who underwent research, clinical, or both MRI scans, and clinical health measures across the groups and non-MRI subjects. Retrospective cohort study leveraging MRI, clinical, demographic, and medication data from ACT. Three neuroradiologists reviewed MRI scans using NIH Neuroimaging Common Data Elements (CDEs). Total brain and white matter hyperintensity (WMH) volumes, clinical characteristics, and outcome measures of brain and overall health were compared between groups. 1166 MRIs were included (77 research, 1043 clinical, and 46 both) and an additional 3146 participants with no MRI were compared. Compared to the group with research MRI only, the clinical MRI group had higher prevalence of the following: acute infarcts, chronic haematoma, subarachnoid haemorrhage, subdural haemorrhage, haemorrhagic transformation, and hydrocephalus (each P < .001). Quantitative WMH burden was significantly lower (P < .001) and total brain volume significantly higher (P < .001) in research MRI participants compared to other MRI groups. Prevalence of hypertension, self-reported cerebrovascular disease, congestive heart failure, dementia, and recent hospitalization (all P < .001) and diabetes (P = .002) differed significantly across groups, with smaller proportions in the research MRI group. In ageing populations, significant differences were observed in MRI metrics between research MRI and clinical MRI groups, and clinical health metric differences between research MRI, clinical MRI, and no-MRI groups. This questions whether research cohorts can adequately represent the greater ageing population undergoing imaging. These findings may also be useful to radiologists when interpreting neuroimaging of ageing.

CIRCULATING IMMUNE CELLS ARE ASSOCIATED WITH BRAIN MRI MEASUREMENTS IN THE FRAMINGHAM OFFSPRING

Abstract Mounting evidence supports the role of the immune system in brain health, yet little is known about the role of circulating immune cells in brain health. We investigated the association of immune cell phenotypes with brain MRI phenotypes in the Framingham Heart Study Offspring participants who attended Exam 7 (mean age 61, 52% women). Immune cells (43 analyzed here) were determined by flow cytometry and previously published. Analysis of the immune cell phenotypes with MRI measurements of 13 brain regions revealed several significant associations, adjusting for age, sex and CMV status (Model 1) in the full sample (n=703) and the CMV+ stratum (n=327). In the full sample, higher senescent/exhausted CD8+ cells (CD8+CD45RO-CCR7-CD27-(Teff), CD8+CD45RA+CD28-CD57+(TEMRA), CD8+CD27-CD28-) associated with higher cerebrum and frontal gray volumes. These associations were strengthened when cardiovascular risk factors were included in the model (Model 2). In the CMV+ stratum, two CD8+ cell types (TEMRA, and Teff) were significantly associated with higher cerebrum gray and frontal gray matter volumes in both models. Also in the CMV+ stratum, higher levels of CD8+CD45RO+CCR7+CD27+ (Central Memory) were associated with lower frontal gray matter, and higher CD3+ (T cells) cells were associated with higher temporal gray matter and higher CD8 Teff associated with lower cerebrum white volumes. There were no associations of CD4 subtypes with brain MRI measures in the full sample or the CMV+ stratum. These associations with brain volumes in adults aged 40-88 may improve understanding of the role of the immune system early in the brain aging process.

Abstract 13302: Associations of Allostatic Load With Brain Macro-Morphology, Subclinical Cerebrovascular Disease, and Microstructural Integrity of White Matter Pathways: The Boston Puerto Rican Health Study

Introduction: Allostatic load (AL), a measure of overall body wear and tear, has been associated with structural and functional alterations of the brain, but the evidence remains scarce. We aimed to evaluate the prospective associations of AL with brain MRI measures in the Boston Puerto Rican Health Study (BPRHS). Research Questions: Whether AL is associated with 1) brain macro-morphology: brain age and volumes, 2) subclinical cerebrovascular disease: white matter hyperintensity (WMH) and brain infarcts, and 3) microstructural integrity of white matter (WM) pathways in Puerto Rican adults. Methods: Adults from the BPRHS cohort who provided blood and urine samples at baseline, 2-y, and 6-y visits and underwent MRI scans at 13-y visit were included in analyses (n=226). AL was evaluated as a composite score (0-11) of 11 physiological parameters in five body systems. An overall AL score was calculated by averaging the scores of the baseline, 2-y, and 6-y visits, with higher scores indicating greater dysregulation. We evaluated brain age and volumes using T1-weighted MRI, WMH and brain infarcts using T2-weighted MRI, and microstructural integrity of WM pathways using diffusion tensor imaging. Multivariable logistic regression models were used to examine the associations between AL and brain infarcts, and linear regression models were used for other MRI outcomes. Results: Mean age at baseline was 54.6 ± 6.6 y, with 79.2% female. Higher AL was associated with higher brain age z scores (β = 0.129, P = 0.031) and lower volumes of total WM, cerebral WM (especially parietal and temporal lobes), cerebellum, and brain stem. Higher AL was also associated with higher grades of WMH (β = 0.207, P = 0.024) and higher odds of small vessel infarcts [OR (95% CI) = 3.50 (1.56-7.87), P = 0.002], but not large vessel infarcts [OR (95% CI) = 1.33 (0.73-2.40), P = 0.348]. Diffusion tensor imaging parameters showed that participants with higher AL had more microstructural deterioration patterns in major WM pathways. Conclusions: Higher AL score was associated with brain macro- and microstructural disruptions and a higher risk of subclinical cerebrovascular disease, suggesting that AL may be a potential indicator of the need for early intervention in preventing neuronal damage in older adults.

Abstract 12181: Association of Left Atrial Function With Vascular Brain Injury: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS)

Background: Lower (worse) left atrial (LA) function is associated with higher dementia risk. It is unclear whether lower LA function is associated with vascular brain injury on brain MRI, an established correlate for higher dementia risk. Using data from the Atherosclerosis Risk in Communities (ARIC) study, we assessed the cross-sectional association between LA function measures and brain MRI markers of vascular brain injury (cerebral microbleeds, brain infarcts). Hypothesis: Participants with lower LA function will be more likely to have presence of &gt; 1 cerebral microbleed or brain infarct. Methods: ARIC participants who had both an echocardiogram and brain MRI at visit 5 (2011-13) were included. We excluded those with prevalent dementia, stroke, or atrial fibrillation. LA function measures were obtained from 2D-echocardiograms and assessed in quartiles (highest quartile was the reference). Brain MRI measures were assessed as the presence or absence of &gt; 1 cerebral microbleed or brain infarct. Logistic regression was used. Results: Of the 1502 participants (mean [SD] age 76 [5], 60% female, 27% Black) in this analysis, 345 (23%) and 351 (23%) had &gt; 1 cerebral microbleed or brain infarct present. Compared to the highest quartile, lower LA reservoir and conduit strain quartiles were associated with higher odds of cerebral microbleeds. LA contractile strain was not associated with cerebral microbleeds. Compared to the highest quartile, the lowest LA conduit strain quartile, but not reservoir strain, was associated with higher odds of brain infarcts. LA contractile strain was inversely associated with brain infarcts. Conclusion: In this community-based cohort, lower LA function was cross-sectionally associated with cerebral microbleeds and brain infarcts. The inverse relationship with LA contractile strain may be due to contractile function compensating for a decrease in early diastolic filling. Prospective studies are needed to confirm these findings.

The association of circulating endocannabinoids with neuroimaging and blood biomarkers of neuro-injury

BackgroundPreclinical studies highlight the importance of endogenous cannabinoids (endocannabinoids; eCBs) in neurodegeneration. Yet, prior observational studies focused on limited outcome measures and assessed only few eCB compounds while largely ignoring the complexity of the eCB system. We examined the associations of multiple circulating eCBs and eCB-like molecules with early markers of neurodegeneration and neuro-injury and tested for effect modification by sex.MethodsThis exploratory cross-sectional study included a random sample of 237 dementia-free older participants from the Framingham Heart Study Offspring cohort who attended examination cycle 9 (2011–2014), were 65 years or older, and cognitively healthy. Forty-four eCB compounds were quantified in serum, via liquid chromatography high-resolution mass spectrometry. Linear regression models were used to examine the associations of eCB levels with brain MRI measures (i.e., total cerebral brain volume, gray matter volume, hippocampal volume, and white matter hyperintensities volume) and blood biomarkers of Alzheimer’s disease and neuro-injury (i.e., total tau, neurofilament light, glial fibrillary acidic protein and Ubiquitin C-terminal hydrolase L1). All models were adjusted for potential confounders and effect modification by sex was examined.ResultsParticipants mean age was 73.3 ± 6.2 years, and 40% were men. After adjustment for potential confounders and correction for multiple comparisons, no statistically significant associations were observed between eCB levels and the study outcomes. However, we identified multiple sex-specific associations between eCB levels and the various study outcomes. For example, high linoleoyl ethanolamide (LEA) levels were related to decreased hippocampal volume among men and to increased hippocampal volume among women (β ± SE = − 0.12 ± 0.06, p = 0.034 and β ± SE = 0.08 ± 0.04, p = 0.026, respectively).ConclusionsCirculating eCBs may play a role in neuro-injury and may explain sex differences in susceptibility to accelerated brain aging. Particularly, our results highlight the possible involvement of eCBs from the N-acyl amino acids and fatty acid ethanolamide classes and suggest specific novel fatty acid compounds that may be implicated in brain aging. Furthermore, investigation of the eCBs contribution to neurodegenerative disease such as Alzheimer’s disease in humans is warranted, especially with prospective study designs and among diverse populations, including premenopausal women.

Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis.

Although there is evidence that shows worse cognitive functioning in male patients with multiple sclerosis (MS), the role of brain pathology in this context is under-investigated. To investigate sex differences in cognitive performance of MS patients, in the context of brain pathology and disease burden. Brain MRI, neurological examination, neuropsychological assessment (Brief International Cognitive Assessment in MS-BICAMS, and Paced Auditory Verbal Learning Test-PASAT), and patient-reported outcome questionnaires were performed/administered in 1052 MS patients. Females had higher raw scores in the Symbol Digit Modalities Test (SDMT) (57.0 vs. 54.0; p < 0.001) and Categorical Verbal Learning Test (CVLT) (63.0 vs. 57.0; p < 0.001), but paradoxically, females evaluated their cognitive performance by MS Neuropsychological Questionnaire as being worse (16.6 vs 14.5, p = 0.004). Females had a trend for a weaker negative correlation between T2 lesion volume and SDMT ([Formula: see text] = -0.37 in females vs. -0.46 in men; interaction p = 0.038). On the other hand, women had a trend for a stronger correlation between Brain Parenchymal Fraction (BPF) and a visual memory test (Spearman's [Formula: see text] = 0.31 vs. 0.21; interaction p = 0.016). All these trends were not significant after correction for false discovery rate. Although, females consider their cognition as worse, males had at a group level slightly worse verbal memory and information processing speed. However, the sex differences in cognitive performance were smaller than the variability of scores within the same sex group. Brain MRI measures did not explain the sex differences in cognitive performance among MS patients.

Vascular and microstructural markers of cognitive pathology

AbstractBackgroundArterial stiffness may play a role in the development of dementia, presumably through its effects on white matter integrity and hyperintensities (WMH). However, relationships among arterial stiffness, white matter microstructure, and WMH volumes remain poorly understood. Arterial stiffness increases monotonically with age and its increase is accelerated by cardiometabolic disorders (e.g., hypertension, metabolic syndrome, diabetes). Further exploration of these relationships is key to the development of targeted therapies, early management, and detection.MethodArterial stiffness was measured using carotid‐femoral pulse wave velocity (cfPWV) in ADRC participants with baseline systolic blood pressure (SBP) measurements, detailed cognitive testing, cognitive adjudication, and brain MRI. We examined associations of cfPWV and SBP with cognitive function (Montreal Cognitive Assessment [MoCA], Preclinical Alzheimer’s Cognitive Composite [PACC5], and domain measures of memory and executive function) and brain MRI measures of: macrostructure (volume of gray matter [GM] and WMH from T1‐weighted and FLAIR imaging), white matter microstructure (neurite orientation dispersion and density imaging [NODDI] free water [FW] and diffusion tensor imaging [DTI] fractional anisotropy [FA]), and cerebral blood flow (CBF) in white matter (WM) and GM. Age, race, gender, education, and APOE‐4 status were included as covariates and in interaction terms in linear regression analyses.ResultAmong 458 participants with a mean age 70±8 years and cognitive adjudication (44 dementia, 157 MCI, 257 normal cognition; Table 1), higher cfPWV was associated with worse cognitive performance (MoCA, PACC5), as was SBP (MoCA, PACC5, executive domain, language domain; Table 2). Higher cfPWV was associated with differences in WM microstructure (higher FW, lower FA) and higher WMH volume. While no overall associations between cfPWV and CBF were detected, cfPWV had stronger associations with FW, FA, and WMH in men. Higher SBP was associated with higher FW, higher WMH volume, and lower WM and GM CBF (Table 3). SBP had stronger associations with WMH in younger participants (&lt;70y) and GM CBF in Black/AA participants and participants with impaired fasting glucose. No other interactions were detected.ConclusionsArterial stiffness is associated with microstructural and macrostructural differences and poorer global and executive cognitive function.

Association between 10‐year cardiovascular mortality‐risk and neuroimaging biomarkers in the FINGER trial

AbstractBackgroundCardiovascular risk factors are associated with cognitive decline and dementia. Timely estimation and targeting of cardiovascular risk burden may contribute towards the prevention of cognitive decline. The cardiovascular risk scores of the European Society of Cardiology’s, SCORE (for adults up to 64 years) and SCORE‐OP (for older adults aged 65 years or more), are commonly used tool for estimation of 10‐year CVD mortality and may reflect the impact of cardiovascular risk burden on brain pathology if validated against neuroimaging biomarkers.MethodThis study investigated associations between (i) baseline SCORE/SCORE‐OP and baseline neuroimaging biomarkers (brain magnetic resonance imaging [MRI] and Pittsburgh Compound B‐positron emission tomography [PiB‐PET] measures) (ii) change in SCORE/SCORE‐OP and change in neuroimaging measures during the 2‐year Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER). FINGER targeted at‐risk older adults, aged 60‐77 years, from the general population. Participants were randomized to either multidomain intervention (diet, exercise, cognitive training, and vascular risk management) or control group (general health advice). Neuroimaging (MRI and PiB‐PET) data from baseline and 2‐year visits were used. A total of 112 participants had repeated brain MRI measures (hippocampus, total grey matter, and white matter lesion volumes, and Alzheimer’s disease signature cortical thickness). Repeated PiB‐PET scans were available for 39 participants.ResultPreliminary results suggest that at baseline higher SCORE/SCORE‐OP, indicating increased risk of CVD mortality was significantly associated with lower hippocampus volume (estimate = ‐0.010; p = 0.004), lower total grey matter volume (estimate = ‐0.016; p = 0.007), higher white matter lesion volume (estimate = 0.048; p = 0.015), and lower AD signature cortical thickness (‐0.004; p = 0.048) but not with PiB‐PET. No significant associations were found for change in neuroimaging measures and baseline SCORE/SCORE‐OP or change in SCORE/SCORE‐OP during the 2‐year follow‐up.ConclusionCardiovascular risk scores need to be validated against different brain pathology markers in diverse populations. This will enable more precise identification and estimation of dementia risk profiles, guiding at‐risk persons to precise intervention strategies, good for both, heart, and brain.

The Association of Life Stress with Subsequent Brain and Cognitive Reserve in Middle-Aged Women.

Cognitive and brain reserve refer to individual differences that allow some people to better withstand brain pathology than others. Although early life stress has been recognized as a risk factor for low reserve in late life, no research yet has studied this across midlife. To examine the associations of life stress with brain and cognitive reserve in midlife. We included 1,232 middle-aged women who participated in the ORACLE Study between 2002-2006). Life stress was calculated as the shared variance of four cumulative stress domains, created from items measured between pregnancy and 10 years after childbirth. Brain reserve was defined as healthy-appearing brain volume measured with MRI; cognitive reserve as better cognitive functioning than expected based on age, education, and brain MRI measures, using structural equation modelling. More life stress was associated with lower brain (standardized adjusted difference: -0.18 [95% CI 0.25,-0.12]) and cognitive reserve (-0.19 [-0.28,-0.10]). Although, effect sizes were typically smaller, cumulative stress domains were also associated with brain reserve (life events: -0.10 [-0.16,-0.04]; contextual stress: -0.13 [-0.19,-0.07]; parenting-related stress: -0.13[-0.19,-0.07]; interpersonal stress: -0.10 [-0.16,-0.04]) and cognitive reserve (life events: -0.18 [-0.25,-0.11]; contextual stress: -0.15 [-0.10,-0.02]; parenting-related stress: -0.10 [-0.18,-0.03]; interpersonal stress not significant). Women who experience more life stress in midlife were found to have lower reserve. Effects were primarily driven by shared variance across cumulative stress domains, suggesting that focusing on single domains may underestimate effects. The effect of life stress on lower reserve may make women with stress more prone to neurodegenerative disease later in life than women without stress.

Improved multimodal prediction of progression from MCI to Alzheimer's disease combining genetics with quantitative brain MRI and cognitive measures.

There is a pressing need for non-invasive, cost-effective tools for early detection of Alzheimer's disease (AD). Using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), Cox proportional models were conducted to develop a multimodal hazard score (MHS) combining age, a polygenic hazard score (PHS), brain atrophy, and memory to predict conversion from mild cognitive impairment (MCI) to dementia. Power calculations estimated required clinical trial sample sizes after hypothetical enrichment using the MHS. Cox regression determined predicted age of onset for AD pathology from the PHS. The MHS predicted conversion from MCI to dementia (hazard ratio for 80th versus 20th percentile: 27.03). Models suggest that application of the MHS could reduce clinical trial sample sizes by 67%. The PHS alone predicted age of onset of amyloid and tau. The MHS may improve early detection of AD for use in memory clinics or for clinical trial enrichment. A multimodal hazard score (MHS) combined age, genetics, brain atrophy, and memory. The MHS predicted time to conversion from mild cognitive impairment to dementia. MHS reduced hypothetical Alzheimer's disease (AD) clinical trial sample sizes by 67%. A polygenic hazard score predicted age of onset of AD neuropathology.

Association of Daily Physical Activity with Cervical Spinal Cord Areas in Multiple Sclerosis

Background and purpose Remote activity monitoring has the potential to evaluate real-world motor function and disability outside of the clinic. The relationships of daily physical activity with spinal cord white matter and grey matter areas, MS disability, and leg function are unknown. Our purpose was to evaluate the association of remotely captured ambulatory activity with structural central nervous system pathology via quantitative magnetic imaging, in people with multiple sclerosis (MS). Methods Fifty adults with progressive or relapsing MS with motor disability who could walk at least 2 minutes, were assessed using clinical, patient-reported, and quantitative brain and spinal cord MRI measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 consecutive days. Univariate and multivariate analyses were performed to assess correlations between remote physical activity and other disability metrics. Results The mean age of the cohort was 53.3 years and the median EDSS was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures (i.e., Timed 25-foot Walk, Timed up and Go tests, and subjective 12- item MS Walking Scale). Greater STEPS correlated with greater C2-C3 spinal cord grey matter areas (rho=0.39, p=0.04), total cord area (rho=0.35, p=0.04), and brain volume (rho=0.32, p=0.04). Discussion These results provide preliminary evidence that spinal cord grey matter area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology. Longitudinal observations are needed to determine directionality and value of STEPS as a proxy for generalized brain and cord volume loss. These results have potential implications for structural and functional modification of disease progression via therapeutic interventions aimed at altering STEPS. Remote activity monitoring has the potential to evaluate real-world motor function and disability outside of the clinic. The relationships of daily physical activity with spinal cord white matter and grey matter areas, MS disability, and leg function are unknown. Our purpose was to evaluate the association of remotely captured ambulatory activity with structural central nervous system pathology via quantitative magnetic imaging, in people with multiple sclerosis (MS). Fifty adults with progressive or relapsing MS with motor disability who could walk at least 2 minutes, were assessed using clinical, patient-reported, and quantitative brain and spinal cord MRI measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 consecutive days. Univariate and multivariate analyses were performed to assess correlations between remote physical activity and other disability metrics. The mean age of the cohort was 53.3 years and the median EDSS was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures (i.e., Timed 25-foot Walk, Timed up and Go tests, and subjective 12- item MS Walking Scale). Greater STEPS correlated with greater C2-C3 spinal cord grey matter areas (rho=0.39, p=0.04), total cord area (rho=0.35, p=0.04), and brain volume (rho=0.32, p=0.04). These results provide preliminary evidence that spinal cord grey matter area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology. Longitudinal observations are needed to determine directionality and value of STEPS as a proxy for generalized brain and cord volume loss. These results have potential implications for structural and functional modification of disease progression via therapeutic interventions aimed at altering STEPS.

Association of Daily Physical Activity with Cervical Spinal Cord Areas in Multiple Sclerosis (S27.009)

Association of Daily Physical Activity with Cervical Spinal Cord Areas in Multiple Sclerosis (S27.009)

Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function: A Meta-analysis of Community-Based Cohorts.

Previous studies suggest that lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer disease (AD) and AD-related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults. We included dementia-free participants from 9 diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within ±5 years (i.e., cross-sectional analyses) or 5-20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (<60 vs ≥60 years). Fixed-effects or sample size-weighted meta-analyses were performed to combine results. Finally, we performed mendelian randomization (MR) analyses to assess causality. We included up to 19,152 participants (mean age 59 years, 57% women). Higher mtDNA CN was cross-sectionally associated with better general cognitive function (β = 0.04; 95% CI 0.02-0.06) independent of age, sex, batch effects, race/ethnicity, time between blood draw and cognitive evaluation, cohort-specific variables, and education. Additional adjustment for blood cell counts or cardiometabolic traits led to slightly attenuated results. We observed similar significant associations with cognition in prospective analyses, although of reduced magnitude. We found no significant associations between mtDNA CN and brain MRI measures in meta-analyses. MR analyses did not reveal a causal relation between mtDNA CN in blood and cognition. Higher mtDNA CN in blood is associated with better current and future general cognitive function in large and diverse communities across the United States. Although MR analyses did not support a causal role, additional research is needed to assess causality. Circulating mtDNA CN could serve nevertheless as a biomarker of current and future cognitive function in the community.

No signs of neurodegenerative effects in 15q11.2 BP1-BP2 copy number variant carriers in the UK Biobank

The 15q11.2 BP1-BP2 copy number variant (CNV) is associated with altered brain morphology and risk for atypical development, including increased risk for schizophrenia and learning difficulties for the deletion. However, it is still unclear whether differences in brain morphology are associated with neurodevelopmental or neurodegenerative processes. This study derived morphological brain MRI measures in 15q11.2 BP1-BP2 deletion (n = 124) and duplication carriers (n = 142), and matched deletion-controls (n = 496) and duplication-controls (n = 568) from the UK Biobank study to investigate the association with brain morphology and estimates of brain ageing. Further, we examined the ageing trajectory of age-affected measures (i.e., cortical thickness, surface area, subcortical volume, reaction time, hand grip strength, lung function, and blood pressure) in 15q11.2 BP1-BP2 CNV carriers compared to non-carriers. In this ageing population, the results from the machine learning models showed that the estimated brain age gaps did not differ between the 15q11.2 BP1-BP2 CNV carriers and non-carriers, despite deletion carriers displaying thicker cortex and lower subcortical volume compared to the deletion-controls and duplication carriers, and lower surface area compared to the deletion-controls. Likewise, the 15q11.2 BP1-BP2 CNV carriers did not deviate from the ageing trajectory on any of the age-affected measures examined compared to non-carriers. Despite altered brain morphology in 15q11.2 BP1-BP2 CNV carriers, the results did not show any clear signs of apparent altered ageing in brain structure, nor in motor, lung or heart function. The results do not indicate neurodegenerative effects in 15q11.2 BP1-BP2 CNV carriers.

Premature Cardiovascular Disease and Brain Health in Midlife: The CARDIA Study.

To understand the role of premature (defined as ≤ 60 years) cardiovascular disease (CVD) in brain health earlier in life, we examined the associations of premature CVD with midlife cognition and white matter health. We studied a prospective cohort in the Coronary Artery Risk Development in Young Adults study, who were 18-30 years at baseline (1985-1986) and followed up to 30 years when 5 cognitive tests measuring different domains were administered. A subset (656 participants) had brain MRI measures of white matter hyperintensity (WMH) and white matter integrity. A premature CVD event was adjudicated based on medical records of coronary heart disease, stroke/TIA, congestive heart failure, carotid artery disease, and peripheral artery disease. We conducted linear regression to determine the associations of nonfatal premature CVD with cognitive performance (z-standardized), cognitive decline, and MRI measures. Among 3,146 participants, the mean age (57% women and 48% Black) was 55.1 ± 3.6 years, with 5% (n = 147) having premature CVD. Adjusting for demographics, education, literacy, income, depressive symptoms, physical activity, diet, and APOE, premature CVD was associated with lower cognition in 4 of 5 domains: global cognition (-0.22, 95% CI -0.37 to -0.08), verbal memory (-0.28, 95% CI -0.44 to -0.12), processing speed (-0.46, 95% CI -0.62 to -0.31), and executive function (-0.38, 95% CI -0.55 to -0.22). Premature CVD was associated with greater WMH (total, temporal, and parietal lobes) and higher white matter mean diffusivity (total and temporal lobes) after adjustment for covariates. These associations remained significant after adjusting for cardiovascular risk factors (CVRFs) and excluding those with stroke/TIA. Premature CVD was also associated with accelerated cognitive decline over 5 years (adjusted OR 3.07, 95% CI 1.65-5.71). Premature CVD is associated with worse midlife cognition and white matter health, which is not entirely driven by stroke/TIA and even independent of CVRFs. Preventing CVD in early adulthood may delay the onset of cognitive decline and promote brain health over the life course.

Relationships of Residential Distance to Major Traffic Roads with Dementia Incidence and Brain Structure Measures: Mediation Role of Air Pollution.

Background: Uncertainty exists regarding the operating pathways between near-roadway exposure and dementia incidence. We intend to examine relationships between proximity to major roadways with dementia incidence and brain MRI structure measures, and potential mediation roles of air and noise pollution. Methods: The cohort study was based on the UK Biobank. Baseline survey was conducted from 2006 to 2010, with linkage to electronic health records conducted for follow-up. Residential distance to major roadways was ascertained residential address postcode. A land use regression model was applied for estimating traffic-related air pollution at residence. Dementia incidence was ascertained using national administrative databases. Brain MRI measures were derived as image-derived phenotypes, including total brain, white matter, gray matter, and peripheral cortical gray matter. Results: We included 460,901 participants [mean (SD) age: 57.1 (8.1) years; men: 45.7%]. Compared with individuals living >1,000 m from major traffic roads, living ≤1,000 m was associated with a 13% to 14% higher dementia risk, accounting for 10% of dementia cases. Observed association between residential distance and dementia was substantially mediated by traffic-related air pollution, mainly nitrogen dioxide (proportion mediated: 63.6%; 95% CI, 27.0 to 89.2%) and PM2.5 (60.9%, 26.8 to 87.0%). The shorter residential distance was associated with smaller volumes of brain structures, which was also mediated by traffic-related air pollutants. No significant mediation role was observed of noise pollution. Conclusions: The shorter residential distance to major roads was associated with elevated dementia incidence and smaller brain structure volumes, which was mainly mediated by traffic-related air pollution.