Index Dispersion Research Articles

Neurite-based white matter alterations in MAPT mutation carriers: A multi-shell diffusion MRI study in the ALLFTD consortium

We assessed white matter (WM) integrity in MAPT mutation carriers (16 asymptomatic, 5 symptomatic) compared to 31 non-carrier family controls using diffusion tensor imaging (DTI) (fractional anisotropy; FA, mean diffusivity; MD) and neurite orientation dispersion and density imaging (NODDI) (neurite density index; NDI, orientation and dispersion index; ODI). Linear mixed-effects models accounting for age and family relatedness revealed alterations across DTI and NODDI metrics in all mutation carriers and in symptomatic carriers, with the most significant differences involving fronto-temporal WM tracts. Asymptomatic carriers showed higher entorhinal MD and lower cingulum FA and patterns of higher ODI mostly involving temporal areas and long association and projections fibers. Regression models between estimated time to or time from disease and DTI and NODDI metrics in key regions (amygdala, cingulum, entorhinal, inferior temporal, uncinate fasciculus) in all carriers showed increasing abnormalities with estimated time to or time from disease onset, with FA and NDI showing the strongest relationships. Neurite-based metrics, particularly ODI, appear to be particularly sensitive to early WM involvement in asymptomatic carriers.

Assessment of Cerebral White Matter Involvement in Amyotrophic Lateral Sclerosis Patients With Disease Progression and Cognitive Impairment by Fixel-Based Analysis and Neurite Orientation Dispersion and Density Imaging.

Previous studies using emerging diffusion MRI techniques have revealed damage to the white matter (WM) microstructure in amyotrophic lateral sclerosis (ALS), particularly the influence of crossed fibers, but there is a lack of subgroup analyses. To detect WM microstructural changes in ALS patients using fixel-based analysis (FBA) and neurite orientation dispersion and density imaging (NODDI) MRI. Prospective. Thirty-six ALS patients (aged 60.50 ± 9.5 years) and 25 healthy controls (HCs) (aged 58.90 ± 8.1 years). 3 T; NODDI and FBA (b-values = 0, 1000, and 2500 seconds/mm2). Subgroups were performed according to progression rate and cognition, including fast and slow progression (FP/SP), ALS with and without cognitive impairment (ALS-ci/ALS-nci). Fiber density (FD), fiber-bundle cross-section (FC), combined fiber density and cross-section (FDC), neurite density index (NDI), orientation dispersion index (ODI), isotropic volume fraction (ISO), and fractional anisotropy (FA) were calculated and their correlation with clinical variables examined. Chi-square test, Mann-Whitney U test, two-sample t test, partial correlation analysis, and false discovery rate (FDR) corrected. A P-value <0.05 was considered significant. ALS patients had lower FD and FDC values predominantly in the corticospinal tract (CST) and corpus callosum (CC) regions, as well as lower NDI value in the CC, radial crown, and internal capsule compared to HCs. Subgroup analysis based on progression rate and cognitive function showed significant differences in FBA results. The FC in the right CST region was significantly lower in the FP than SP, and the FD in the CC region was significantly lower in the ALS-ci than ALS-nci. Furthermore, a negative correlation was found between the mean FC value and the rate of progression in ALS patients (r = -0.408). FBA is a powerful tool for detecting complex cerebral WM microstructural damage for evaluating ALS cognition and disease progression.

A brief review on optical properties of polymer Composites: Insights into Light-Matter interaction from classical to quantum transport point of view

In recent years, the optical capabilities of polymer composites have dominated the marketplace for applications in optoelectronic and energy devices. Supercapacitors, light-emitting displays, optical waveguide sensors, and organic photovoltaic cells are a few examples of the applications of the optical behavior of composites. Polymer composites are composed of nano/micro-sized inorganic particles (such as semiconductors, metal complexes, and synthetic nanoparticles) that are distributed within a polymer matrix. These materials have a significant role because they combine the optical properties of inorganic materials with the ease of processing of polymers, which utilizes the potential and performance of polymer-based optical systems.Optical features of polymer composites, such as indices of refraction, transparency, dispersion, and coefficients of absorption, influence their potential uses in optical systems and devices. The purpose of this research is to establish more insight into the optical characteristics of polymer composites and to understand the correlations between the structure and optoelectronic behavior of polymer composites. This review involves general concepts, scientific guidelines, and feasible mathematical sections. The unique optical characteristics of some common polymers (PEO, PMMA, PVA, and CS) and polymer composites are briefly reviewed. This review article establishes the fact that metal complexes are excellent over ceramic filler or nano-particles to improve optical absorption and decrease the optical band gap. An inspection of the fundamentals of light-matter interaction, ranging from classical (Drude-Lorentz model) to quantum methods for studying electron transition was exhibited. Furthermore, the applications of Tauc’s model and optical dielectric loss parameters to estimate the optical energy band gap of polymer composites are explained. Other fundamental optical parameters, such as absorption coefficient, optical dielectric constant, and refractive index are also explored. Finally, the Wemple-DiDomenico (WD) model is applied to investigate; the refractive index, optical dielectric constant, and optical spectra moments. The correlations between the optical dielectric function and several parameters such as ε∞, τ, N/m*, µopt, ρopt, ωp, and Eg are derived. Various models based on refractive index and absorption coefficient are discussed in detail to estimate crucial optical parameters.

Ultralow dispersion and broadband gradient refractive index microlens arrays imprinted in chalcohalide glass by microthermal poling

Ultralow dispersion gradient refractive index (GRIN) microlens arrays (MLAs) covering the visible to mid-infrared wavelength range are imprinted in GeS2-Ga2S3-CsI chalcohalide glass by an efficient and economical microthermal poling process. The effect of poling voltage on GRIN microstructure, structural rearrangement, optical properties of the poled glasses, and imaging of the imprinted MLAs have been investigated. Optical focal length of the GRIN MLAs decreases from 353 to 63 μm with increasing the poling voltage from 200 to 1000 V, which is in accordance with imprinting-induced phase difference increase from 0.57λ to 1.19λ. Optimal chromatic aberration (between 520 and 850 nm) as low as 5% is achieved in the GRIN MLAs. Formation mechanism of GRIN MLAs is mainly associated with an enhanced transverse migration of Cs+ ions within mesh square area, which is provided by an improved anode of microthermal poling setup. Thus, an efficient and inexpensive process developed can produce broadband and ultralow dispersion GRIN MLAs for imaging, display, and photovoltaic applications.

NODDI Identifies Cognitive Associations with In Vivo Microstructural Changes in Remote Cortical Regions and Thalamocortical Pathways in Thalamic Stroke.

The roles of cerebral structures distal to isolated thalamic infarcts in cognitive deficits remain unclear. We aimed to identify the in vivo microstructural characteristics of remote gray matter (GM) and thalamic pathways and elucidate their roles across cognitive domains. Patients with isolated ischemic thalamic stroke and healthy controls underwent neuropsychological assessment and magnetic resonance imaging. Neurite orientation dispersion and density imaging (NODDI) was modeled to derive the intracellular volume fraction (VFic) and orientation dispersion index. Fiber density (FD) was determined by constrained spherical deconvolution, and tensor-derived fractional anisotropy (FA) was calculated. Voxel-wise GM analysis and thalamic pathway tractography were performed. Twenty-six patients and 26 healthy controls were included. Patients exhibited reduced VFic in remote GM regions, including ipsilesional insular and temporal subregions. The microstructural metrics VFic, FD, and FA within ipsilesional thalamic pathways decreased (false discovery rate [FDR]-p < 0.05). Noteworthy associations emerged as VFic within insular cortices (ρ = -0.791 to -0.630; FDR-p < 0.05) and FD in tracts connecting the thalamus and insula (ρ = 0.830 to 0.971; FDR-p < 0.001) were closely associated with executive function. The VFic in Brodmann area 52 (ρ = -0.839; FDR-p = 0.005) and FA within its thalamic pathway (ρ = -0.799; FDR-p = 0.003) correlated with total auditory memory scores. In conclusion, NODDI revealed neurite loss in remote normal-appearing GM regions and ipsilesional thalamic pathways in thalamic stroke. Reduced cortical dendritic density and axonal density of thalamocortical tracts in specific subregions were associated with improved cognitive functions. Subacute microstructural alterations beyond focal thalamic infarcts might reflect beneficial remodeling indicating post-stroke plasticity.

Examining the interplay between AD pathology and intracellular/extracellular properties of cortical tissue in preclinical AD

AbstractBackgroundAD pathology affects neuronal microstructural decades before clinical manifestation of the disease. Amyloid plaques and tau tangles are key contributors to alterations in brain microstructural properties such as neurite morphology and axonal transport and packing, among others. It takes many years for these microstructural changes to build up and be reliably detected using volumetric MRI measures of neurodegeneration. Here, we examined the utility of neurite imaging – a biologically inspired model for examining cortical microstructure – to examine the impact of amyloid and tau pathology on intra‐ and extra‐cellular properties of cortical tissue and to further improve our mechanistic understanding of AD development.MethodWe utilized multimodal imaging data collected as part of ADNI‐3 including structural, multi‐shell diffusion MRI, and amyloid (18F‐florbetapir) and tau (18F‐flortaucipir) PET. The sample included 90 cognitively normal older adults (CN:23/67 amyloid‐positive/negative, age = 72.0(8.8) years) and 65 older adults with mild cognitive impairment (MCI: 36/29 amyloid‐positive/negative, 73.3(7.2) years). Neurite orientation dispersion and density imaging (NODDI) measures including intracellular volume fraction (ICVF), neurite orientation and dispersion index (ODI) in gray matter, standardized uptake value ratio (SUVR) for amyloid/tau PET and cortical thickness were extracted for 360 regions defined by surface‐based HCP atlas. We performed mediation analyses to examine the interplay between AD pathology and intracellular/extracellular properties of brain tissue and also compared the clinical utility of cortical neurite measures against volumetric MRI in detecting brain changes associated with AD pathology (tau burden) in preclinical AD.ResultMediation analyses showed that tau burden mediates the impact of amyloid on intracellular properties of brain tissue (ICVF) in medial and lateral temporal structures (Fig.1A) whereas ODI is a significant mediator of the effect of extracellular amyloid accumulation on intra‐cellular tau burden in entorhinal cortex (Fig.1B) in amyloid‐positive older adults. Further, among the regions with highest tau burden in amyloid‐positive CN group, ICVF changes in lateral temporal cortex successfully distinguished preclinical AD from amyloid‐negative CN and was associated with tau pathology.ConclusionOverall, these preliminary results suggest that accumulation of amyloid plaques results in reduction of neurite complexity while build‐up of tau reduces the intracellular volume fraction in preclinical stage of AD.

Examining the overlap between patterns of tau deposition and cortical neurite microstructure in preclinical Alzheimer’s disease

AbstractBackgroundIncreased Amyloid‐beta (Aβ) is associated with the neuropathological features of Alzheimer’s disease (AD), and it has been suggested to amplify tau spreading in the brain that leads to neurodegeneration. However, little is known about how the pattern of tau spreading overlaps with that of cortical microstructural neurodegeneration in the preclinical stages of the disease. Here, we utilized molecular imaging and neurite orientation dispersion and density imaging (NODDI) to identify the spreading pattern of tau pathology with the disease progression in cross‐sectional data and interaction with the degradation of cortical neurite microstructures.MethodsThe study consisted of normal controls (CN) and patients with mild cognitive impairments (MCI) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (Table 1). All participants had structural and multi‐shell diffusion magnetic resonance imaging (MRI), and positron emission tomography (PET) scans using 18F‐florbetapir (AV45) for and 18F‐flortaucipir (AV1451) for tau. The preprocessed PET images were used to generate the standardized uptake value ratio (SUVR) values in each hemisphere consisting of 180 cerebral cortical brain regions defined by the Glasser atlas. The preprocessed dMRI data were used to compute cortical NODDI coefficients (neurite density (intracellular volume fraction; ICVF), orientation dispersion index (ODI), and isotropic volume fraction (FISO)). The tau and NODDI microstructural values are then normalized compared to the Aβ− CN group by adjusting the values for age and sex. The tau spreading order was defined based on the frequencies of the normalized tau values that exceeded the given threshold and compared the patterns with the neurite microstructures.ResultsWe found a sharp increase of tau deposition in patients with Aβ+ MCI, and the medial temporal regions were identified as the earliest region to become tau positive and continue to spread to inferior temporal and inferior parietal regions. Most importantly, we found significant patterns of cortical ODI degradation with the tau spreading in the right entorhinal cortex (p = 0.004) and the right hippocampus (p = 0.02).ConclusionThe findings of this cross‐sectional study provide that regional cortical neurite imaging could provide higher sensitivity to changes in the pathological process of tau spreading in tau epicenters in AD.

Apoe ε4 exacerbates age‐dependent decline of cortical microstructural changes in cognitively normal midlife individuals: the PREVENT‐Dementia and ALFA studies

AbstractBackgroundThe APOE e4 allele is the primary genetic risk factor for the sporadic type of Alzheimer’s disease (AD). However, the mechanisms by which APOE e4 is associated with neurodegeneration are still poorly understood. Here, we applied the NODDI to characterise the effects of APOE e4 and its interactions with age and education on cortical microstructure in cognitively normal individuals.MethodData from 1954 participants were included from the PREVENT‐Dementia and ALFA (ALzheimer and FAmilies) studies (mean age = 57, 1197 non‐carriers, 757 APOE e4 carriers). T1 MRIs were processed with FreeSurfer v7.2. The Microstructure Diffusion Toolbox was used to derive Orientation Dispersion Index (ODI) maps from diffusion MRI. Primary analyses were focused on the (a) main effects of APOE e4, and the (b) interactions of APOE e4 with age and education on lobar and vertex‐wise ODI and implemented using Permutation Analysis of Linear Models.ResultAPOE e4 carriers and non‐carriers did not differ in terms of lobar ODI. However, there were APOE e4 × age interactions in the temporo‐parietal and frontal lobes (TFCE p FWE &lt; 0.05), indicating steeper age‐dependent ODI changes in APOE e4 (Figure 1). Lobar analyses revealed decreased temporal ODI in APOE e4 carriers after age = 60 (Figure 2). There was a three‐way interaction of APOE e4 x age x education; steeper age‐related ODI declines among APOE e4 carriers with lower years of education (Figure 3, TFCE p FWE &lt; 0.05). There were no significant main effects or interactions of APOE e4 on cortical thickness.ConclusionWe found novel evidence that APOE e4 worsened age‐related ODI decreases in brain regions typically associated with atrophy patterns of AD. This finding also suggests that APOE e4 may hasten the onset age of dementia by accelerating age‐dependent reductions in cortical ODI, although additional studies are needed to verify this hypothesis. These findings were independent of cortical thickness. While conclusions are limited due to the cross‐sectional design, our findings imply that APOE e4 related changes in ODI may precede macroscopically visible changes in cortical atrophy and may be a more sensitive marker of incipient AD.

Medial temporal lobe gray matter microstructure alterations provide improved sensitivity to detect neurodegeneration associated with Alzheimer’s disease biomarkers

AbstractBackgroundDespite the strengths conventional structural imaging measures to detect atrophy, cross‐sectional relationships between neurodegeneration and Alzheimer’s disease (AD) biomarkers in early stages is limited. Neurite orientation dispersion and density imaging (NODDI) measures microstructural alterations that are unique from conventional structural metrics. Alterations in microstructure have been detected in individuals with AD compared to cognitively normal individuals, but there is sparse data regarding the relationship between these metrics and AD biomarkers. Here we sought to characterize how NODDI metrics in the medial temporal lobe (MTL) are associated with plasma AD biomarkers.MethodOne‐hundred and sixty‐seven cognitively normal (CN) individuals, 47 individuals with mild cognitive impairment, and 16 individuals with AD underwent diffusion and T1w imaging. T1w images were segmented using the ASHS‐T1 protocol to form anterior and posterior MTL ROIs. Multi‐shell DTI data were collected in 113 non‐collinear directions with 1.5mm isotropic voxels, were pre‐processed using a custom pipeline, and fit with voxel‐wise NODDI models. ANTs was used to linearly register NODDI and T1w images to allow transformation of MTL ROIs to diffusion space. Stepwise‐regression models examined relationships between anterior and posterior MTL NODDI metrics with plasma biomarkers in CN and impaired (MCI/AD) groups after accounting for MTL volume.ResultNODDI metrics of intracellular volume fraction (icVf) and orientation dispersion index (ODI) were decreased, and isometric volume fraction (isoVf) was increased in cognitively impaired compared to CN. Amyloid positivity was associated with decreased ODI and increased isoVf in cognitively impaired individuals. While posterior MTL volume predicted plasma p‐Tau‐181, inclusion of NODDI metrics subsumed this effect (F‐change&gt;7.54, p&lt;0.0067), and reduced ODI was the best predictor of plasma pTau‐181 within cognitively impaired individuals, while isoVf best predicted pTau‐181 across all individuals. Posterior MTL volume did not predict plasma GFAP, but inclusion of ODI and icVf both significantly predicted plasma GFAP in both CN and impaired individuals (F‐change&gt;12.68, p&lt;.001). Anterior MTL icVf predicted both pTau‐181 and GFAP.ConclusionMicrostructural alterations measured by NODDI appear more closely linked to AD‐related molecular measures and, thus, may provide a more sensitive cross‐sectional measure of neurodegeneration of the MTL compared to conventional macrostructural metrics.

Alzheimer’s disease biomarkers of amyloid and tau influence white matter neurite alterations in dementia with Lewy bodies: a NODDI study

AbstractBackgroundCo‐morbid Alzheimer’s disease (AD) pathology in the form of amyloid‐ß plaques and tau neurofibrillary tangles are frequently observed in people with probable dementia with Lewy bodies (DLB). Neurite Orientation Dispersion and Density Imaging (NODDI) is an emerging technique to characterize white matter (WM) tissue microstructure, although NODDI alterations and associations with AD biomarkers remain undefined in DLB. The objectives of this study are to compare NODDI and DTI parameters between DLB and controls and (ii) evaluate the pattern of DTI and NODDI changes associated with amyloid and tau deposition.MethodConsecutive patients within the DLB spectrum (n = 45), including probable DLB (n = 32) and probable Mild Cognitive Impairment with Lewy bodies (MCI‐LB) (n = 13) from the Mayo Clinic ADRC underwent multi‐shell diffusion MRI, [18F]‐Flortaucipir and [11C]‐PiB PET. A comparison group of 45 age‐ and gender‐matched clinically unimpaired controls (CU) was included. Voxelwise non‐parametric permutation models were used to determine pair‐wise group differences and assess the associations of AD biomarkers with fractional anisotropy (FA), mean diffusivity (MD), tissue‐weighted neurite density index (tNDI; NDI x (1 – Free water fraction)) and orientation dispersion index (ODI), controlling for age. Complementary analyses were performed using regions‐of‐interest (ROI) obtained from the JHU atlas.ResultCompared to CU, the DLB spectrum group exhibited widespread decreases in FA and tNDI and increases in MD and ODI, with the most pronounced effects in the cingulum bundles, uncinate, inferior and superior longitudinal fasciculi (Fig. 1). Greater [18F]‐Flortaucipir uptake was also associated with lower FA and tNDI, and higher MD and ODI in the DLB spectrum compared to CU, independently of age and [11C]‐PiB uptake (Fig. 2). In contrast, no associations were found between [11C]‐PiB uptake and any of the DTI or NODDI parameters. Complementary ROI analyses corroborated these findings.ConclusionWidespread loss of WM integrity was observed on DTI and NODDI in probable DLB and prodromal DLB. These findings were associated with greater cortical tau, but not with amyloid‐ß deposition. Although alpha‐synuclein pathology underlies the loss of WM integrity in DLB, amyloid‐independent tau pathology may also be an important influence on white matter integrity within the DLB spectrum.

Apoe ε4 exacerbates age‐dependent decline of cortical microstructural changes in cognitively normal midlife individuals: the PREVENT‐Dementia and ALFA studies

AbstractBackgroundThe APOE ε4 allele is the primary genetic risk factor for the sporadic type of Alzheimer’s disease (AD). However, the mechanisms by which APOE ε4 is associated with neurodegeneration are still poorly understood. Here, we applied the NODDI to characterise the effects of APOE ε4 and its interactions with age and education on cortical microstructure in cognitively normal individuals.MethodData from 1954 participants were included from the PREVENT‐Dementia and ALFA (ALzheimer and FAmilies) studies (mean age = 57, 1197 non‐carriers, 757 APOE ε4 carriers). T1 MRIs were processed with FreeSurfer v7.2. The Microstructure Diffusion Toolbox was used to derive Orientation Dispersion Index (ODI) maps from diffusion MRI. Primary analyses were focused on the (a) main effects of APOE ε4, and the (b) interactions of APOE ε4 with age and education on lobar and vertex‐wise ODI and implemented using Permutation Analysis of Linear Models.ResultAPOE ε4 carriers and non‐carriers did not differ in terms of lobar ODI. However, there were APOE ε4 × age interactions in the temporo‐parietal and frontal lobes (TFCE p FWE &lt; 0.05), indicating steeper age‐dependent ODI changes in APOE ε4 (Figure 1). Lobar analyses revealed decreased temporal ODI in APOE ε4 carriers after age = 60 (Figure 2). There was a three‐way interaction of APOE ε4 x age x education; steeper age‐related ODI declines among APOE ε4 carriers with lower years of education (Figure 3, TFCE p FWE &lt; 0.05). There were no significant main effects or interactions of APOE ε4 on cortical thickness.ConclusionWe found novel evidence that APOE ε4 worsened age‐related ODI decreases in brain regions typically associated with atrophy patterns of AD. This finding also suggests that APOE ε4 may hasten the onset age of dementia by accelerating age‐dependent reductions in cortical ODI, although additional studies are needed to verify this hypothesis. These findings were independent of cortical thickness. While conclusions are limited due to the cross‐sectional design, our findings imply that APOE ε4 related changes in ODI may precede macroscopically visible changes in cortical atrophy and may be a more sensitive marker of incipient AD.

The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics

AbstractBackgroundHypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM.MethodFour‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP≥130mmHG and DBP≥80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied.ResultHypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF.ConclusionHypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.

Sleep and circadian measures at age 73 are related to brain macrostructure, microstructure, and amyloid pathology

AbstractBackgroundSleep disturbance is associated with an increased risk of developing Alzheimer’s disease, yet the relationship between sleep metrics and brain pathology remains poorly understood. Complementing ‘traditional’ metrics such as total sleep time (TST) and sleep efficiency (SE), the midpoint of sleep, interdaily stability and intradaily variability provide important insights into chronotype and circadian rest activity rhythms.MethodsWe used data from dementia‐free participants from the Insight 46 neuroscience sub‐study of the MRC National Survey of Health and Development (NSHD, British 1946 Birth Cohort). Hippocampal, whole brain, and white matter hyperintensity volume (WMHV), and amyloid status (positive/negative) were derived from volumetric T1 and FLAIR MRI, and 18F‐florbetapir amyloid‐PET at age 73. TST, SE, midpoint of sleep, interdaily stability, and intradaily variability were calculated from 6 nights of wrist actigraphy (Philips Actiwatch) at the same time point. Normal appearing white matter (NAWM) microstructure was assessed by diffusion weighted imaging at age 70. Mean z‐scores for each participant’s neurite density index (NDI) and orientation dispersion index (ODI) were generated relative to normal controls.The relationship between sleep and imaging metrics was examined using generalised additive models to allow a flexible functional form for the sleep metrics. Where there was no evidence of a nonlinear effect, results are presented from linear regression (continuous outcomes) or logistic regression (binary outcomes). All analyses were controlled for TST, SE, age, gender, socioeconomic status, intracranial volume, and interval from imaging to actigraphy, in addition to blood pressure age 53, and body mass index for WMHV analyses.ResultsThere was a significant nonlinear relationship between TST and both hippocampal and brain volume, with ∼ 7 hours sleep appearing optimal (Table 1, Figure 1). Increasing TST and decreasing SE were associated with decreased NDI. Unexpectedly, increased interdaily stability was associated with an increased risk of being amyloid positive (P = 0.003, Figure 2).ConclusionSleep and circadian measures at age 73 were associated with brain microstructure, macrostructure, and amyloid pathology. Efficient sleep of around 7 hours is associated with optimal brain health. Ongoing longitudinal follow‐up will help to explore causality.

The Effects of Hypertension on White Matter Microstructural and Vascular Imaging Metrics

AbstractBackgroundHypertension is one of the key vascular risk factors of AD and related dementia. Cerebral blood flow (CBF) and white matter (WM) integrity may play an essential role in understanding the vascular contributions to dementia (VCID). We investigated if hypertension is related to WM microstructural and vascular imaging metrics in WM.MethodFour‐hundred‐seven subjects (age: 69.7±8.1 years) enrolled in the Wake Forest Alzheimer’s Disease Research Center (ADRC) Clinical Core underwent MRI, including neurite orientation dispersion and density imaging (NODDI) and eight‐phase pseudo‐continuous ASL (PCASL). The subjects included 158 MCI, 111 APOE e4 allele carriers, 224 with hypertension, and 249 with impaired glycemic status which includes type 2 diabetes and prediabetics. Hypertension status was defined as SBP = 130mmHG and DBP = 80mmHG. The microstructural imaging metrics including intracellular volume fraction (ICVF), isotropic volume fraction (ISOVF), and orientation dispersion index (ODI) were obtained from NODDI. The vascular imaging metric included CBF. CBF was obtained from PCASL sequence. Voxel‐wise linear regression analyses were performed to examine if CBF, ICVF, ISOVF, or ODI were related to hypertension adjusting for cognitive status, glycemic status, APOE e4 allele, age, sex, and years of education. All images were normalized into standard space. Tract‐based spatial statistics (TBSS) were used to normalize NODDI images. The false positive cluster thresholding was applied.ResultHypertensive subjects showed impairments in both microstructural and vascular imaging metrics. Based on Figures 1‐(A), 2‐(A) and 3‐(A), there are overlapping brain image voxels between the microstructural and vascular imaging metrics. Additionally, the hypertensive subjects showed significantly lower CBF, higher ISOVF, and higher ODI than normal subjects within the voxel clusters (Figures 1‐(B), 2‐(B), and 3‐(B)). Note that APOE e4 allele, glycemic status, and cognitive status also showed statistical significance in the NODDI parameters, but there was no association in CBF.ConclusionHypertension showed the potential association between the microstructural and vascular impairments in the WM. Each risk factor and cognitive status differently affected WM microstructural and vascular dynamic imaging parameters. These findings warrant further investigations of contributions of hypertension to the microstructural and vascular abnormalities in dementia.

Medial Temporal Lobe White Matter Integrity is Related to Memory and Amyloid‐Beta Pathology in Aging

AbstractBackgroundDamage to white matter (WM) within the medial temporal lobe (MTL) may underlie memory decline in aging and Alzheimer’s disease (AD). We measured MTL WM tract integrity through diffusion tensor imaging and Neurite Orientation Dispersion and Density Imaging (NODDI). We tested WM integrity associations with memory performance and amyloid‐ß pathology in cognitively normal older adults.Method105 cognitively normal older adults (70.8 years old, 65% female) with diffusion MRI were processed with MRtrix3. Standard diffusion metrics of fractional anisotropy (FA) and mean diffusivity (MD) were calculated. NODDI MDT was used to generate the neurite density index (NDI), representing number of voxels with unhindered diffusion, and the orientation dispersion index (ODI), representing the variability of neurite orientation. We calculated these measures for MTL tracts from the JHU WM Atlas: cingulum‐hippocampus, fornix column/body, and fornix/stria terminalis. Participants received 18F‐florbetapir (FBP) to measure Aß pathology (n = 94), and global FBP SUVR was calculated. Memory was measured with the Rey Auditory Verbal Learning Test delayed recall score (RAVLT, n = 81). Analyses covaried for age and/or education.ResultBetter memory was associated with lower ODI in the fornix column/body (r = ‐0.27, p = 0.018), with trends for higher FA (r = 0.021, p = 0.06) and lower NDI (r = ‐0.19, p = 0.09). Better memory was also associated with higher MD in the cingulum‐hippocampus (right: r = 0.23, p = 0.04; left: r = 0.25, p = 0.03), with trends for lower ODI (right: r = ‐.20, p = 0.08; left: r = ‐0.20, p = 0.09). Higher FBP SUVR was associated with increased FA in the fornix column/body (r = 0.31, p = 0.003) and a trend in the left cingulum hippocampus (r = 0.20, p = 0.054). Memory or FBP SUVR was not significantly related to integrity of the fornix/stria terminalis.ConclusionIntegrity of fornix column/body and cingulum‐hippocampus were related to both memory performance and Aß pathology. Our results suggest that using a combination of NODDI as well as diffusion tensor metrics provided a more robust understanding of memory impacts in aging.

Ultra‐high‐resolution quantitative MRI at the grey/white interface in Alzheimer’s disease and posterior cortical atrophy

AbstractBackgroundCortical grey matter (CGM) and superficial white matter (SWM) undergo pathological changes, but standard MRI spatial resolutions make interpreting disease‐related effects at their interface challenging. We present findings from a study investigating the grey/white interface in typical amnestic Alzheimer’s disease (tAD), posterior cortical atrophy (PCA) and healthy controls using ultra‐high‐resolution quantitative MRI measures sensitive to microstructural properties.MethodEleven participants (Table 1) were scanned at 7T using multi‐echo FLASH (0.5mm isotropic resolution with prospective motion correction) and diffusion MRI (dMRI) (1.25mm isotropic resolution). The hMRI toolbox produced multi‐parametric mapping (MPM) measures: R1, R2* and Proton Density (PD) (Vaculciakova et al., 2021https://doi.org/10.1002/mrm.29253). dMRI processing included denoising and correcting for Gibbs ringing, eddy currents, susceptibility artifacts and motion. Metrics from dMRI were fractional anisotropy (FA), and mean diffusivity (MD), as well as tissue fraction (TF), neurite density index (NDI) and orientation dispersion index (ODI) from Neurite Orientation Dispersion and Density Imaging (NODDI). A deep learning segmentation approach estimated the grey/white boundary (Billot et al., 2021, arXiv:2107.09559). MPM and dMRI measures were sampled from the CGM into the SWM at 0.5mm increments in regions of interest (Harvard‐Oxford cortical atlas). Tissue‐weighted (tw) averages were calculated for NDI and ODI. Metrics were visualized across the grey/white interface using boxplots.ResultFigures 1‐2 show MPM and dMRI measures in the precuneus (dashed lines indicate group medians). Qualitatively, most tAD and PCA participants had lower R1 and R2* than controls, most prominently 0.5mm into the SWM (Figure 1). PD appeared higher in tAD and PCA patients across the grey/white interface. Qualitatively, most tAD and PCA participants had lower TF and higher MD in the CGM, where twNDI and FA appeared lower than controls across grey/white interface (Figure 2). Most tAD and PCA had qualitatively lower twODI in CGM and a flatter slope across the grey/white interface compared to controls.ConclusionMacromolecular (R1, R2* and twNDI) and iron content (R2*) MR measures at 7T appear reduced in tAD and PCA across the grey/white interface, whereas neurite organisational complexity (twODI) may become more homogeneous. Ongoing study will assess if these findings are consistent with further participants.

Medial temporal lobe gray matter microstructure alterations provide improved sensitivity to detect neurodegeneration associated with Alzheimer’s disease biomarkers

AbstractBackgroundDespite the strengths conventional structural imaging measures to detect atrophy, cross‐sectional relationships between neurodegeneration and Alzheimer’s disease (AD) biomarkers in early stages is limited. Neurite orientation dispersion and density imaging (NODDI) measures microstructural alterations that are unique from conventional structural metrics. Alterations in microstructure have been detected in individuals with AD compared to cognitively normal individuals, but there is sparse data regarding the relationship between these metrics and AD biomarkers. Here we sought to characterize how NODDI metrics in the medial temporal lobe (MTL) are associated with plasma AD biomarkers.MethodOne‐hundred and sixty‐seven cognitively normal (CN) individuals, 47 individuals with mild cognitive impairment, and 16 individuals with AD underwent diffusion and T1w imaging. T1w images were segmented using the ASHS‐T1 protocol to form anterior and posterior MTL ROIs. Multi‐shell DTI data were collected in 113 non‐collinear directions with 1.5mm isotropic voxels, were pre‐processed using a custom pipeline, and fit with voxel‐wise NODDI models. ANTs was used to linearly register NODDI and T1w images to allow transformation of MTL ROIs to diffusion space. Stepwise‐regression models examined relationships between anterior and posterior MTL NODDI metrics with plasma biomarkers in CN and impaired (MCI/AD) groups after accounting for MTL volume.ResultNODDI metrics of intracellular volume fraction (icVf) and orientation dispersion index (ODI) were decreased, and isometric volume fraction (isoVf) was increased in cognitively impaired compared to CN. Amyloid positivity was associated with decreased ODI and increased isoVf in cognitively impaired individuals. While posterior MTL volume predicted plasma p‐Tau‐181, inclusion of NODDI metrics subsumed this effect (F‐change&gt;7.54, p&lt;0.0067), and reduced ODI was the best predictor of plasma pTau‐181 within cognitively impaired individuals, while isoVf best predicted pTau‐181 across all individuals. Posterior MTL volume did not predict plasma GFAP, but inclusion of ODI and icVf both significantly predicted plasma GFAP in both CN and impaired individuals (F‐change&gt;12.68, p&lt;.001). Anterior MTL icVf predicted both pTau‐181 and GFAP.ConclusionMicrostructural alterations measured by NODDI appear more closely linked to AD‐related molecular measures and, thus, may provide a more sensitive cross‐sectional measure of neurodegeneration of the MTL compared to conventional macrostructural metrics.

Associations between accelerometer‐based physical activity and brain white matter microstructure: Findings from the population‐based Rhineland Study

AbstractBackgroundWhite matter (WM) integrity declines with age and is affected by neurodegenerative diseases. Physical activity promotes neuronal health in animals, and is associated with WM microstructure metrics in humans. However, previous diffusion tensor imaging (DTI) studies were limited by small sample sizes and subjective questionnaire‐based physical activity assessments. Moreover, recently introduced neurite orientation dispersion and density imaging (NODDI) may offer complementary insights. Therefore, we examined the association between accelerometer‐based physical activity and DTI and NODDI measures of WM microstructure in a large population‐based cohort.MethodWe analyzed data of 2,455 participants (57.9% women, mean age: 54.7 years) with valid physical activity and MRI measurements from the Rhineland Study, a prospective cohort study in Bonn, Germany. We recorded physical activity using accelerometers and derived metabolic equivalent (MET)‐hours, step counts and time spent performing sedentary, light‐intensity and moderate‐to‐vigorous (MVPA) activities. DTI (fractional anisotropy (FA), mean diffusivity) and NODDI (orientation dispersion index, neurite density index) measures were obtained from 3T MR images using the microstructure diffusion toolbox. The association of physical activity with WM microstructure was assessed using multivariate polynomial regression, while adjusting for age, sex, education, body mass index and smoking status.ResultPhysical activity was associated with several global and tract‐specific DTI and NODDI measures. Effects were strongest at low physical activity quantities and weakened at higher levels. While higher MET‐hours, step counts and light and moderate‐to‐vigorous intensity activities were related to greater global FA, sedentary time was associated with reduced FA. We observed the strongest tract‐specific effects for moderate‐to‐vigorous intensity activities on the corpus callosum and corona radiata (standardized effects: MVPA on FA corpus callosum, ßlin = 0.0009 [95% CI: 0.0001; 0.0018] and ßqu = ‐0.0006 [95% CI: ‐0.0011; ‐0.0001]; MVPA on FA corona radiata, ßlin = 0.0011 [95% CI: 0.0001; 0.0021] and ßqu = ‐0.0009 [95% CI: ‐0.0014; ‐0.0003]). We obtained similar results for NODDI measures.ConclusionOur findings suggest that WM microstructure and particularly tracts connecting motor regions profit from physical activity. Sedentary individuals may benefit more from additional physical activity than already active individuals. NODDI metrics provide valuable complementary insights into the effects of physical activity on WM microstructure.

Neurite‐based white matter alterations in MAPT mutation carriers: A multi‐shell diffusion MRI study in the ALLFTD consortium

AbstractBackgroundWe aimed to assess axonal integrity in MAPT mutation carriers and early white matter (WM) neurodegeneration in asymptomatic carriers using traditional diffusion tensor imaging (DTI) measurements, i.e., fractional anisotropy (FA) and mean diffusivity (MD), and neurite orientation dispersion and density imaging (NODDI).MethodWe included available multi‐shell diffusion MRI data from 21 MAPT mutation carriers (16 asymptomatic; 5 symptomatic) and 31 non‐carrier family members as controls from the ALLFTD consortium. We used linear mixed‐effect models to assess WM abnormalities measured with FA and MD, neurite density index (NDI) and orientation dispersion index (ODI), combined across hemispheres. Separate models were conducted in all MAPT mutation carriers relative to controls while accounting for relatedness and age, then in symptomatic and asymptomatic carriers relative to controls. ComBat was used to harmonize data across sites.ResultIn models contrasting all MAPT carriers versus controls, WM alterations involved the cingulum bundle (FA, ODI), fronto‐temporal, entorhinal (FA, MD, NDI), and the inferior temporal WM (FA) after correcting for multiple comparisons (Fig. 1). In models contrasting symptomatic and asymptomatic MAPT carriers versus controls, symptomatic carriers had widespread involvement of the fronto‐temporal WM including the cingulum (FA, ODI), entorhinal (MD, FA, NDI), amygdala (MD, NDI) and inferior temporal (FA) areas after correcting for multiple comparisons. Asymptomatic carriers showed higher entorhinal MD and lower inferior temporal and cingulum FA relative to controls, and a more widespread pattern of higher ODI involved the medial temporal, superior temporal and occipital WM as well as long association and projection fibers including the internal capsule, cingulate bundle and fronto‐occipital fasciculi, although they were not statistically significant after correction for multiple comparisons.ConclusionTraditional DTI and novel NODDI measurements revealed some extent of overlap as well as divergences in patterns of WM abnormalities, indicating axonal loss is a feature of neurodegeneration in MAPT mutation carriers. Our results suggest that traditional DTI and novel NODDI measurements may have different sensitivities to WM alterations in MAPT mutation carriers, and that axon‐based metrics, particularly ODI measurements, may be more sensitive to the early WM involvement during the asymptomatic stage of the disease.

Locus coeruleus microstructural integrity is linked to plasma GFAP concentration and Aβ42/40 ratio in cognitively unimpaired individuals: a 7T MRI study

AbstractBackgroundRecent autopsy and in vivo MRI studies supported structural integrity of the brainstem locus coeruleus (LC) as a potential indicator of initial AD‐related pathological processes. Importantly, in the earliest stages of the disease, these changes to the neuronal density of the LC are associated with changes to the somatic morphology and dendritic atrophy. Here, we aimed to examine whether LC microstructural integrity, assessed in vivo with advanced diffusion‐weighted magnetic resonance imaging (dMRI), is related to plasma AD biomarkers in a sample of cognitively unimpaired individuals.MethodFifty‐seven cognitively unimpaired participants (mean age = 59.3±14.7y; 28 females) (Table 1) underwent a dMRI scanning session using a multi‐shell, high angular resolution acquisition protocol in a 7T scanner. LC microstructure was evaluated by applying the Neurite Orientation Dispersion and Density Imaging (NODDI) biophysical model on the dMRI data, yielding two metrics of microstructural integrity: Neurite Density Index (NDI) and Orientation Dispersion Index (ODI). Additionally, blood samples were analyzed to assess AD plasma biomarkers, including Aβ42/40 ratio, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), and tau phosphorylated at threonine 181 (pTau181) or threonine 231 (pTau231).ResultHigher age was associated with lower LC ODI (t = ‐2.77, p = 0.008) but not LC NDI values (t = 0.44, p = 0.658). Multiple linear regressions adjusted for age, sex, and estimated Total Intracranial Volume (eTIV) showed that lower NDI in the LC was associated with higher plasma GFAP levels (t = ‐2.08, p = .04, Figure 1). In addition, we found a negative association between ODI within the LC and Aβ42/40 (t = ‐2.79, p = .007, Figure 2). No significant relationships were found between LC NDI/ODI values and plasma NfL or pTau biomarkers.ConclusionConsistent with animal studies, these findings suggest that microstructural changes in the LC are associated with astroglial activation in the earliest stages of the disease. Associations with Aβ42/40 were unexpected but might reflect loss of white matter compartments or changes in lipid density. In future analyses, we will further examine the biological interpretation of the NODDI metrics in subcortical regions, in particular in the context of AD‐related processes.