Volume changes of thalamus, hippocampus and cerebellum are associated with specific CSF profile in MS

Background: The underlying pathogenesis of surface-in grey matter abnormalities in MS, demonstrated by both neuropathology and advanced MRI analyses, is under investigation and it might be related to CSF-mediated mechanism of inflammation and/or damage. Objective: To examine the link of CSF inflammatory profile with the damage of three regions early-involved in MS and bordering with CSF: thalamus, hippocampus and cerebellum. Methods: In this longitudinal, prospective study, we evaluated, in 109 relapsing–remitting MS patients, at diagnosis and after 2-year follow-up, the association between the baseline CSF level of 19 inflammatory mediators and the volume changes of thalamus, hippocampus, cerebellar cortex and control regions (globus pallidus, putamen). Results: The multivariable analysis showed that the CXCL13 and sCD163 CSF levels at baseline were independent predictors of thalamus ([Formula: see text]; p < 0.001) and hippocampus ([Formula: see text]; p < 0.001) volume change after 2-year follow-up. These molecules, plus CCL25, IFN-γ and fibrinogen, were independent predictors of the cerebellar cortex volume loss ([Formula: see text]; p < 0.001). No independent predictors of volume changes of the control regions were found. Conclusion: Our results indicate an association between the CSF inflammatory profile and grey matter volume loss of regions anatomically close to CSF boundaries, thus supporting the hypothesis of a surface-in GM damage in MS.

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Deep grey matter volume loss drives disability worsening in multiple sclerosis

10.1101/182006 ◽

2017 ◽

Author(s):

Arman Eshaghi ◽

Ferran Prados ◽

Wallace Brownlee ◽

Daniel R. Altmann ◽

Carmen Tur ◽

...

Keyword(s):

Multiple Sclerosis ◽

Standard Deviation ◽

Grey Matter ◽

Therapeutic Interventions ◽

Tissue Loss ◽

Cerebral White Matter ◽

Spatiotemporal Pattern ◽

Grey Matter Volume ◽

Volume Loss

AbstractObjectiveGrey matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.MethodsWe analysed 3,604 brain high-resolution T1-weighted MRI scans from 1,417 participants: 1,214 MS patients (253 clinically-isolated syndrome[CIS], 708 relapsingremitting[RRMS], 128 secondary-progressive[SPMS], 125 primary-progressive[PPMS]), over an average follow-up of 2.41 years (standard deviation[SD]=1.97), and 203 healthy controls (HCs) [average follow-up=1.83 year, SD=1.77], attending 7 European centres. Disability was assessed with the Expanded-Disability Status Scale (EDSS). We obtained volumes of the deep GM (DGM), temporal, frontal, parietal, occipital and cerebellar GM, brainstem and cerebral white matter. Hierarchical mixed-models assessed annual percentage rate of regional tissue loss and identified regional volumes associated with time-to-EDSS progression.ResultsSPMS showed the lowest baseline volumes of cortical GM and DGM. Of all baseline regional volumes, only that of the DGM predicted time-to-EDSS progression (hazard ratio=0.73, 95% CIs 0.65, 0.82; p<0.001): for every standard deviation decrease in baseline DGM volume, the risk of presenting a shorter time to EDSS worsening during follow-up increased by 27%. Of all longitudinal measures, DGM showed the fastest annual rate of atrophy, which was faster in SPMS (-1.45%), PPMS (-1.66%), and RRMS (-1.34%) than CIS (-0.88%) and HCs (-0.94%)[p<0.01]. The rate of temporal GM atrophy in SPMS (-1.21%) was significantly faster than RRMS (-0.76%), CIS (-0.75%), and HCs (-0.51%). Similarly, the rate of parietal GM atrophy in SPMS (-1.24-%) was faster than CIS (-0.63%) and HCs (-0.23%) (all p values <0.05). Only the atrophy rate in DGM in patients was significantly associated with disability accumulation (beta=0.04, p<0.001).InterpretationThis large multi-centre and longitudinal study shows that DGM volume loss drives disability accumulation in MS, and that temporal cortical GM shows accelerated atrophy in SPMS than RRMS. The difference in regional GM atrophy development between phenotypes needs to be taken into account when evaluating treatment effect of therapeutic interventions.

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Abstract P485: Predictors and Clinical Impact of Deep Grey Matter Infarction After Endovascular Treatment for Large Vessel Occlusion Stroke: Results From the Escape-NA1 Trial

Stroke ◽

10.1161/str.52.suppl_1.p485 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Johanna Ospel ◽

Michael D Hill ◽

Nima Kashani ◽

Arnuv Mayank ◽

Nishita Singh ◽

...

Keyword(s):

Grey Matter ◽

Infarct Volume ◽

Multivariable Analysis ◽

Diffusion Weighted Mri ◽

Vessel Occlusion ◽

Lentiform Nucleus ◽

Good Outcome ◽

Deep Grey Matter ◽

Post Hoc

Purpose: In this post-hoc analysis of the ESCAPE-NA1 trial, we investigated the prevalence of deep grey matter infarcts and their influence on clinical outcome. Methods: Infarcts on 24 hour follow up imaging (non contrast head CT or diffusion-weighted MRI) were categorized as predominantly deep grey matter infarcts (caudate and/or lentiform nucleus infarcts with sparing of the superficial grey matter and white matter) vs. other infarcts. Total infarct volume was manually segmented in all patients. When MRI follow-up was available, deep grey matter and grey matter infarct volumes were segmented separately. Multivariable logistic regression with adjustment for key minimization variables and by infarct volume was used to assess the association of predominantly deep grey matter infarcts and good outcome. Results: Of the 1026 included patients, 316 (30.8%) had predominantly deep grey matter infarcts. Cumulative proportions of good outcome for overall, grey matter, deep grey matter, and superficial grey matter infarct volumes are shown in the figure. Good outcomes were more frequently achieved in patients with predominantly deep grey matter infarcts (239/316 [75.6%] vs. 374/704 [53.1%]). Deep infarcts were tightly correlated with infarct volume (Pearson rho -0.35) and in multivariable analysis deep grey matter infarcts were predictive of outcome overall; when examined in volume percentiles, there was no effect of deep infarct location. Conclusion: Predominantly deep grey matter infarcts are associated with good outcomes. Deep grey matter infarct location favorable prognosis is associated with small overall infarct size.

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Education modulates brain maintenance in presymptomatic frontotemporal dementia

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2019-320439 ◽

2019 ◽

Vol 90 (10) ◽

pp. 1124-1130 ◽

Cited By ~ 7

Author(s):

Stefano Gazzina ◽

Mario Grassi ◽

Enrico Premi ◽

Maura Cosseddu ◽

Antonella Alberici ◽

...

Keyword(s):

At Risk ◽

Frontotemporal Dementia ◽

Grey Matter ◽

Principal Component ◽

Grey Matter Volume ◽

Brain Reserve ◽

Matter Volume ◽

Brain Maintenance ◽

Over Time

ObjectiveCognitively engaging lifestyles have been associated with reduced risk of conversion to dementia. Multiple mechanisms have been advocated, including increased brain volumes (ie, brain reserve) and reduced disease progression (ie, brain maintenance). In cross-sectional studies of presymptomatic frontotemporal dementia (FTD), higher education has been related to increased grey matter volume. Here, we examine the effect of education on grey matter loss over time.MethodsTwo-hundred twenty-nine subjects at-risk of carrying a pathogenic mutation leading to FTD underwent longitudinal cognitive assessment and T1-weighted MRI at baseline and at 1 year follow-up. The first principal component score of the graph-Laplacian Principal Component Analysis on 112 grey matter region-of-interest volumes was used to summarise the grey matter volume (GMV). The effects of education on cognitive performances and GMV at baseline and on the change between 1 year follow-up and baseline (slope) were tested by Structural Equation Modelling.ResultsHighly educated at-risk subjects had better cognition and higher grey matter volume at baseline; moreover, higher educational attainment was associated with slower loss of grey matter over time in mutation carriers.ConclusionsThis longitudinal study demonstrates that even in presence of ongoing pathological processes, education may facilitate both brain reserve and brain maintenance in the presymptomatic phase of genetic FTD.

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Increased serum malondialdehyde levels are associated with grey matter volume loss in patients with non-alcoholic cirrhosis

Quantitative Imaging in Medicine and Surgery ◽

10.21037/qims.2018.12.12 ◽

2019 ◽

Vol 9 (2) ◽

pp. 230-237 ◽

Cited By ~ 1

Author(s):

Wei Zheng ◽

Wen-Wei Zhu ◽

Zhi-Chao Feng ◽

Qi Liang ◽

Peng-Fei Rong ◽

...

Keyword(s):

Grey Matter ◽

Alcoholic Cirrhosis ◽

Grey Matter Volume ◽

Volume Loss ◽

Matter Volume

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Coronary heart disease is associated with regional grey matter volume loss: implications for cognitive function and behaviour

Internal Medicine Journal ◽

10.1111/j.1445-5994.2008.01713.x ◽

2008 ◽

Vol 38 (7) ◽

pp. 599-606 ◽

Cited By ~ 17

Author(s):

O. P. Almeida ◽

G. J. Garrido ◽

C. Beer ◽

N. T. Lautenschlager ◽

L. Arnolda ◽

...

Keyword(s):

Coronary Heart Disease ◽

Heart Disease ◽

Cognitive Function ◽

Grey Matter ◽

Grey Matter Volume ◽

Volume Loss ◽

Matter Volume

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White matter volume changes in people who develop psychosis

The British Journal of Psychiatry ◽

10.1192/bjp.bp.107.043463 ◽

2008 ◽

Vol 193 (3) ◽

pp. 210-215 ◽

Cited By ~ 71

Author(s):

Mark Walterfang ◽

Philip K. McGuire ◽

Alison R. Yung ◽

Lisa J. Phillips ◽

Dennis Velakoulis ◽

...

Keyword(s):

White Matter ◽

Grey Matter ◽

White Matter Volume ◽

Volume Changes ◽

Matter Volume ◽

Original Group ◽

Magnetic Resonance Imaging Mri ◽

Longitudinal Comparison ◽

The Right

BackgroundGrey matter changes have been described in individuals who are pre- and peri-psychotic, but it is unclear if these changes are accompanied by changes in white matter structures.AimsTo determine whether changes in white matter occur prior to and with the transition to psychosis in individuals who are pre-psychotic who had previously demonstrated grey matter reductions in frontotemporal regions.MethodWe used magnetic resonance imaging (MRI) to examine regional white matter volume in 75 people with prodromal symptoms. A subset of the original group (n=21) were rescanned at 12–18 months to determine white matter volume changes. Participants were retrospectively categorised according to whether they had or had not developed psychosis at follow-up.ResultsComparison of the baseline MRI data from these two subgroups revealed that individuals who later developed psychosis had larger volumes of white matter in the frontal lobe, particularly in the left hemisphere. Longitudinal comparison of data in individuals who developed psychosis revealed a reduction in white matter volume in the region of the left fronto-occipital fasciculus. Participants who had not developed psychosis showed no reductions in white matter volume but increases in a region subjacent to the right inferior parietal lobule.DiscussionThe reduction in volume of white matter near the left fronto-occipital fasciculus may reflect a change in this tract in association with the onset of frank psychosis.

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Desperately seeking grey matter volume changes in sleep apnea: A methodological review of magnetic resonance brain voxel-based morphometry studies

Sleep Medicine Reviews ◽

10.1016/j.smrv.2015.03.001 ◽

2016 ◽

Vol 25 ◽

pp. 112-120 ◽

Cited By ~ 31

Author(s):

Sébastien Celle ◽

Chantal Delon-Martin ◽

Frédéric Roche ◽

Jean-Claude Barthélémy ◽

Jean-Louis Pépin ◽

...

Keyword(s):

Sleep Apnea ◽

Magnetic Resonance ◽

Grey Matter ◽

Grey Matter Volume ◽

Voxel Based Morphometry ◽

Volume Changes ◽

Methodological Review ◽

Matter Volume

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Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12

Brain Structure and Function ◽

10.1007/s00429-016-1193-1 ◽

2016 ◽

Vol 221 (9) ◽

pp. 4631-4641 ◽

Cited By ~ 9

Author(s):

Timo De Bondt ◽

Pim Pullens ◽

Wim Van Hecke ◽

Yves Jacquemyn ◽

Paul M. Parizel

Keyword(s):

Grey Matter ◽

Grey Matter Volume ◽

Volume Changes ◽

Matter Volume

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Causal effect of atrial fibrillation on brain white or grey matter volume: A Mendelian randomization study

10.1101/2020.12.17.20248314 ◽

2020 ◽

Author(s):

Sehoon Park ◽

Soojin Lee ◽

Yaerim Kim ◽

Semin Cho ◽

Kwangsoo Kim ◽

...

Keyword(s):

Atrial Fibrillation ◽

White Matter ◽

Grey Matter ◽

Mendelian Randomization ◽

Brain Volume ◽

Causal Effect ◽

Grey Matter Volume ◽

Volume Loss ◽

White Matter Volume ◽

Matter Volume

AbstractBackgroundAtrial fibrillation (AF) and brain volume loss are prevalent in older individuals. Further study investigating the causal effect of AF on brain volume is warranted.MethodsThis study was a Mendelian randomization (MR) analysis. The genetic instrument for AF was constructed from a previous genome-wide association study (GWAS) meta-analysis and included 537,409 individuals of European ancestry. The outcome summary statistics for quantile-normalized white or grey matter volume measured by magnetic resonance imaging were provided by the previous GWAS of 8426 white British UK Biobank participants. The main MR method was the inverse variance weighted method, supported by sensitivity MR analysis including MR-Egger regression and the weighted median method. The causal estimates from AF to white or grey matter volume were further adjusted for effects of any stroke or ischemic stroke by multivariable MR analysis.ResultsA higher genetic predisposition for AF (one standard deviation increase) was significantly associated with lower white matter volume [beta −0.128 (−0.208, −0.048)] but not grey matter volume [beta −0.041 (−0.101, 0.018)], supported by all utilized sensitivity MR analyses. The multivariable MR analysis indicated that AF is causally linked to lower white matter volume independent of the stroke effect.ConclusionsAF is a causative factor for white matter volume loss. The effect of AF on grey matter volume was inapparent in this study. A future trial is necessary to confirm whether appropriate AF management can be helpful in preventing cerebral white matter volume loss or related brain disorders in AF patients.

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