Association of Age at Onset With Gray Matter Volume and White Matter Microstructural Abnormalities in People With Multiple Sclerosis

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012869
Author(s):  
Raffaello Bonacchi ◽  
Alessandro Meani ◽  
Elisabetta Pagani ◽  
Olga Marchesi ◽  
Andrea Falini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Linear Models ◽  
Gray Matter Volume ◽  
Age At Onset ◽  
Healthy Controls ◽  
Compensatory Mechanisms ◽  
Cross Sectional ◽  
Matter Volume

Objective:To investigate whether age at onset influences brain gray matter volume (GMV) and white matter (WM) microstructural abnormalities in adult multiple sclerosis (MS) patients, given its influence on clinical phenotype and disease course.Method:In this hypothesis-driven cross-sectional study, we enrolled 67 pediatric-onset MS (POMS) patients and 143 sex- and disease duration (DD)-matched randomly-selected adult-onset MS (AOMS) patients, together with 208 healthy controls. All subjects underwent neurological evaluation and 3T MRI acquisition. MRI variables were standardized based on healthy controls, to remove effects of age and sex. Associations with DD in POMS and AOMS patients were studied with linear models. Time to reach clinical and MRI milestones was assessed with product-limit approach.Results:At DD=1 year, GMV and WM fractional anisotropy (FA) were abnormal in AOMS but not in POMS patients. Significant interaction of age at onset (POMS vs AOMS) into the association with DD was found for GMV and WM FA. The crossing point of regression lines in POMS and AOMS patients was at 20 years of DD for GMV and 14 for WM FA. For POMS and AOMS patients, median DD was 29 and 19 years to reach Expanded Disability Status Scale=3 (p<0.001), 31 and 26 years to reach abnormal Paced Auditory Serial Addition Task-3 (p=0.01), 24 and 18 years to reach abnormal GMV (p=0.04), and 19 and 17 years to reach abnormal WM FA (p=0.36).Conclusions:Younger patients are initially resilient to MS-related damage. Then, compensatory mechanisms start failing with loss of WM integrity, followed by GM atrophy and finally disability.

Association of regional gray matter volume loss and progression of white matter lesions in multiple sclerosis — A longitudinal voxel-based morphometry study

NeuroImage ◽  
2009 ◽  
Vol 45 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Kerstin Bendfeldt ◽  
Pascal Kuster ◽  
Stefan Traud ◽  
Hanspeter Egger ◽  
Sebastian Winklhofer ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
White Matter Lesions ◽  
Volume Loss ◽  
Voxel Based Morphometry ◽  
Matter Volume

Precentral and cerebellar atrophic changes in moyamoya disease using 7-T magnetic resonance imaging

2019 ◽  
Vol 61 (4) ◽  
pp. 487-495
Author(s):  
Hyeong Cheol Moon ◽  
Byeong Ho Oh ◽  
Chaejoon Cheong ◽  
Won Seop Kim ◽  
Kyung Soo Min ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Moyamoya Disease ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Healthy Controls ◽  
Resonance Imaging ◽  
Matter Volume ◽  
Age Range

Background Chronic repeated transient ischemic changes are one of the common symptoms of moyamoya disease that could affect cortical and subcortical atrophy. Purpose We aimed to assess the cortical gray matter volume and thickness, white matter subcortical volume, and clinical characteristics using 7-T magnetic resonance imaging (MRI) and MR angiography (MRA). Material and Methods In this case-control study, whole-brain parcellation of gray matter and subcortical volumes were manually assessed in nine patients with moyamoya disease (18 hemispheres; median age = 34 years; age range = 10–60 years) and nine healthy controls (18 hemispheres; median age = 29 years; age range = 20–62 years) matched for age and sex, who underwent both 7-T MRI and MRA. The volumes were measured using high-resolution image (<1 mm) processing based on the Desikan-Killiany-Tourville (DKT) atlas, via an automated segmentation method (FreeSurfer version 6.0). Results The gray matter volume of the left precentral cortex and the white matter volume of the subcortical cerebellum were lower in both hemispheres in the patients with moyamoya disease compared to the healthy controls. Conclusion Gray matter atrophy in the precentral cortex and cerebellar white matter were detected in this 7-T MRI volumetric analysis study of patients with moyamoya disease who experienced repeated transient ischemic changes. Cortical atrophy in precentral cortex and cerebellum could explain the transient motor weakness in patients with moyamoya disease, as one of the early findings was that patients with moyamoya disease do not have detectable infarction changes on conventional MRI images.

scholarly journals What are the gray and white matter volumes of the human spinal cord?

2020 ◽  
Author(s):  
Simon Henmar ◽  
Erik B. Simonsen ◽  
Rune W. Berg
Keyword(s):  
Spinal Cord ◽  
Deep Learning ◽  
White Matter ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Post Mortem ◽  
Cross Sectional ◽  
Human Spinal Cord ◽  
Matter Volume ◽  
Motor Activities

The gray matter of the spinal cord is the seat of somata of various types of neurons devoted to the sensory and motor activities of the limbs and trunk as well as a part of the autonomic nervous system. The volume of the spinal gray matter is an indicator of the local neuronal processing and this can decrease due to atrophy associated with degenerative diseases and injury. Nevertheless, the absolute volume of the human spinal cord has rarely been reported, if ever. Here, we use high–resolution magnetic resonance imaging, with a cross–sectional resolution of 50 × 50μm2 and a voxel size of 0.0005mm3, to estimate the total gray and white matter volume of a post mortem human female spinal cord. Segregation of gray and white matter was accomplished using deep learning image segmentation. Further, we include data from a male spinal cord of a previously published study. The gray and white matter volumes were found to be 2.87 and 11.33 ml, respectively for the female and 3.55 and 19.33 ml, respectively for a male. The gray and white matter profiles along the vertebral axis were found to be strikingly similar and the volumes of the cervical, thoracic and lumbosacral sections were almost equal.NEW AND NOTEWORTHYHere, we combine high field MRI (9.4T) and deep learning for a post-mortem reconstruction of the gray and white matter in human spinal cords. We report a minuscule total gray matter volume of 2.87 ml for a female and 3.55 ml for a male. For comparison, these volumes correspond approximately to the distal digit of the little finger.

scholarly journals Occipital bending in schizophrenia

2016 ◽  
Vol 51 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Jerome J Maller ◽  
Rodney J Anderson ◽  
Richard H Thomson ◽  
Zafiris J Daskalakis ◽  
Jeffrey V Rosenfeld ◽  
...  
Keyword(s):  
White Matter ◽  
Gray Matter ◽  
Healthy Subjects ◽  
Psychiatric Illness ◽  
Gray Matter Volume ◽  
Occipital Lobe ◽  
Healthy Controls ◽  
White Matter Volume ◽  
Matter Volume ◽  
Control Subjects

Objective: To investigate the prevalence of occipital bending (an occipital lobe crossing or twisting across the midline) in subjects with schizophrenia and matched healthy controls. Method: Occipital bending prevalence was investigated in 37 patients with schizophrenia and 44 healthy controls. Results: Ratings showed that prevalence was nearly three times higher among schizophrenia patients (13/37 [35.1%]) than in control subjects (6/44 [13.6%]). Furthermore, those with schizophrenia had greater normalized gray matter volume but less white matter volume and had larger brain-to-cranial ratio. Conclusion: The results suggest that occipital bending is more prevalent among schizophrenia patients than healthy subjects and that schizophrenia patients have different gray matter–white matter proportions. Although the cause and clinical ramifications of occipital bending are unclear, the results infer that occipital bending may be a marker of psychiatric illness.

scholarly journals Aerobic fitness is associated with gray matter volume and white matter integrity in multiple sclerosis

2010 ◽  
Vol 1341 ◽  
pp. 41-51 ◽  
Author(s):  
Ruchika Shaurya Prakash ◽  
Erin M. Snook ◽  
Robert W. Motl ◽  
Arthur F. Kramer
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Aerobic Fitness ◽  
Gray Matter Volume ◽  
White Matter Integrity ◽  
Matter Volume

scholarly journals Cross-sectional volumes and trajectories of the human brain, gray matter, white matter and cerebrospinal fluid in 9,473 typically aging adults

2020 ◽  
Author(s):  
Andrei Irimia
Keyword(s):  
Cerebrospinal Fluid ◽  
White Matter ◽  
Human Brain ◽  
Gray Matter ◽  
Conflicts Of Interest ◽  
Gray Matter Volume ◽  
Cross Sectional ◽  
Matter Volume ◽  
Aging Adults ◽  
Brain Volumetrics

AbstractAccurate knowledge of adult human brain volume (BV) is critical for studies of aging- and disease-related brain alterations, and for monitoring the trajectories of neural and cognitive functions in conditions like Alzheimer’s disease and traumatic brain injury. This scoping meta-analysis aggregates normative reference values for BV and three related volumetrics—gray matter volume (GMV), white matter volume (WMV) and cerebrospinal fluid volume (CSFV)—from typically-aging adults studied cross-sectionally using magnetic resonance imaging (MRI). Drawing from an aggregate sample of 9,473 adults, this study provides (A) regression coefficients β describing the age-dependent trajectories of volumetric measures by sex within the range from 20 to 70 years based on both linear and quadratic models, and (B) average values for BV, GMV, WMV and CSFV at the representative ages of 20 (young age), 45 (middle age) and 70 (old age). The results provided synthesize ∼20 years of brain volumetrics research and allow one to estimate BV at any age between 20 and 70. Importantly, however, such estimates should be used and interpreted with caution because they depend on MRI hardware specifications (e.g. scanner manufacturer, magnetic field strength), data acquisition parameters (e.g. spatial resolution, weighting), and brain segmentation algorithms. Guidelines are proposed to facilitate future meta- and mega-analyses of brain volumetrics.Disclosure statementThe author declares that he has no actual or potential conflicts of interest.

scholarly journals Topographic patterns of white matter hyperintensities are associated with multimodal neuroimaging biomarkers of Alzheimer’s disease

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Malo Gaubert ◽  
Catharina Lange ◽  
Antoine Garnier-Crussard ◽  
Theresa Köbe ◽  
Salma Bougacha ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Glucose Metabolism ◽  
Corpus Callosum ◽  
Gray Matter ◽  
Fdg Pet ◽  
White Matter Hyperintensities ◽  
Gray Matter Volume ◽  
Matter Volume

Abstract Background White matter hyperintensities (WMH) are frequently found in Alzheimer’s disease (AD). Commonly considered as a marker of cerebrovascular disease, regional WMH may be related to pathological hallmarks of AD, including beta-amyloid (Aβ) plaques and neurodegeneration. The aim of this study was to examine the regional distribution of WMH associated with Aβ burden, glucose hypometabolism, and gray matter volume reduction. Methods In a total of 155 participants (IMAP+ cohort) across the cognitive continuum from normal cognition to AD dementia, FLAIR MRI, AV45-PET, FDG-PET, and T1 MRI were acquired. WMH were automatically segmented from FLAIR images. Mean levels of neocortical Aβ deposition (AV45-PET), temporo-parietal glucose metabolism (FDG-PET), and medial-temporal gray matter volume (GMV) were extracted from processed images using established AD meta-signature templates. Associations between AD brain biomarkers and WMH, as assessed in region-of-interest and voxel-wise, were examined, adjusting for age, sex, education, and systolic blood pressure. Results There were no significant associations between global Aβ burden and region-specific WMH. Voxel-wise WMH in the splenium of the corpus callosum correlated with greater Aβ deposition at a more liberal threshold. Region- and voxel-based WMH in the posterior corpus callosum, along with parietal, occipital, and frontal areas, were associated with lower temporo-parietal glucose metabolism. Similarly, lower medial-temporal GMV correlated with WMH in the posterior corpus callosum in addition to parietal, occipital, and fontal areas. Conclusions This study demonstrates that local white matter damage is correlated with multimodal brain biomarkers of AD. Our results highlight modality-specific topographic patterns of WMH, which converged in the posterior white matter. Overall, these cross-sectional findings corroborate associations of regional WMH with AD-typical Aß deposition and neurodegeneration.

CHARACTERIZATION OF COGNITIVE PERFORMANCE, GRAY MATTER VOLUME AND WHITE MATTER MICROSTRUCTURE IN COGNITIVELY UNIMPAIRED ADULTS WITH INSOMNIA SYMPTOMS

2019 ◽  
Vol 15 (7) ◽  
pp. P207-P209
Author(s):  
Oriol Grau-Rivera ◽  
Grégory Operto ◽  
Carles Falcon ◽  
Raffaele Cacciaglia ◽  
Gonzalo Sánchez-Benavides ◽  
...  
Keyword(s):  
White Matter ◽  
Cognitive Performance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Matter Volume ◽  
White Matter Microstructure ◽  
Insomnia Symptoms

scholarly journals A Correlational Study between Microstructural White Matter Properties and Macrostructural Gray Matter Volume Across Normal Ageing: Conjoint DTI and VBM Analysis

2018 ◽  
Vol 11 ◽  
pp. 1178623X1879992 ◽  
Author(s):  
Vikas Pareek ◽  
VP Subramanyam Rallabandi ◽  
Prasun K Roy
Keyword(s):  
White Matter ◽  
Life Span ◽  
Fractional Anisotropy ◽  
Gray Matter ◽  
Healthy Aging ◽  
Gray Matter Volume ◽  
Mean Diffusivity ◽  
Radial Diffusivity ◽  
Axial Diffusivity ◽  
Matter Volume

We investigate the relationship between Gray matter’s volume vis-a-vis White matter’s integrity indices, such Axial diffusivity, Radial diffusivity, Mean diffusivity, and Fractional anisotropy, in individuals undergoing healthy aging. We investigated MRI scans of 177 adults across 20 to 85 years. We used Voxel-based morphometry, and FDT-FSL analysis for estimation of Gray matter volume and White matter’s diffusion indices respectively. Across the life span, we observed an inter-relationship between the Gray matter and White matter, namely that both Axial diffusivity and Mean Diffusivity show strong correlation with Gray matter volume, along the aging process. Furthermore, across all ages the Fractional anisotropy and Mean diffusivity are found to be significantly reduced in females when compared to males, but there are no significant gender differences in Axial Diffusivity and Radial diffusivity. We conclude that for both genders across all ages, the Gray matter’s Volume is strongly correlated with White matter’s Axial Diffusivity and Mean Diffusivity, while being weakly correlated with Fractional Anisotropy. Our study clarifies the multi-scale relationship in brain tissue, by elucidating how the White matter’s micro-structural parameters influences the Gray matter’s macro-structural characteristics, during healthy aging across the life-span.

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