scholarly journals Antemortem volume loss mirrors TDP-43 staging in older adults with non-frontotemporal lobar degeneration

Brain ◽  
2019 ◽  
Vol 142 (11) ◽  
pp. 3621-3635 ◽  
Author(s):  
Alexandre Bejanin ◽  
Melissa E Murray ◽  
Peter Martin ◽  
Hugo Botha ◽  
Nirubol Tosakulwong ◽  
...  
Keyword(s):  
Older Adults ◽  
Frontotemporal Lobar Degeneration ◽  
Grey Matter ◽  
Regional Distribution ◽  
Specific Effect ◽  
Grey Matter Volume ◽  
Volume Loss ◽  
Independent Contribution ◽  
Matter Volume ◽  
Shed Light

The specific effect of TDP-43 pathology on grey matter volume in individuals without frontotemporal lobar degeneration is unclear. Bejanin et al. reveal a major and independent contribution of TDP-43 to neurodegeneration and shed light on the regional distribution of TDP-43-related atrophy in older adults.

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

2019 ◽  
Vol 9 (2) ◽  
pp. 230-237 ◽  
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

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

2008 ◽  
Vol 38 (7) ◽  
pp. 599-606 ◽  
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

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

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.

scholarly journals Morphometric network differences in ageing versus Alzheimer’s disease dementia

Brain ◽  
2020 ◽  
Vol 143 (2) ◽  
pp. 635-649 ◽  
Author(s):  
Alexa Pichet Binette ◽  
Julie Gonneaud ◽  
Jacob W Vogel ◽  
Renaud La Joie ◽  
Pedro Rosa-Neto ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Whole Brain ◽  
Matter Volume ◽  
Brain Ageing ◽  
Brain Pattern ◽  
Age Range

Abstract Age being the main risk factor for Alzheimer’s disease, it is particularly challenging to disentangle structural changes related to normal brain ageing from those specific to Alzheimer’s disease. Most studies aiming to make this distinction focused on older adults only and on a priori anatomical regions. Drawing on a large, multi-cohort dataset ranging from young adults (n = 468; age range 18–35 years), to older adults with intact cognition (n = 431; age range 55–90 years) and with Alzheimer’s disease (n = 50 with late mild cognitive impairment and 71 with Alzheimer’s dementia, age range 56–88 years), we investigated grey matter organization and volume differences in ageing and Alzheimer’s disease. Using independent component analysis on all participants’ structural MRI, we first derived morphometric networks and extracted grey matter volume in each network. We also derived a measure of whole-brain grey matter pattern organization by correlating grey matter volume in all networks across all participants from the same cohort. We used logistic regressions and receiver operating characteristic analyses to evaluate how well grey matter volume in each network and whole-brain pattern could discriminate between ageing and Alzheimer’s disease. Because increased heterogeneity is often reported as one of the main features characterizing brain ageing, we also evaluated interindividual heterogeneity within morphometric networks and across the whole-brain organization in ageing and Alzheimer’s disease. Finally, to investigate the clinical validity of the different grey matter features, we evaluated whether grey matter volume or whole-brain pattern was related to clinical progression in cognitively normal older adults. Ageing and Alzheimer’s disease contributed additive effects on grey matter volume in nearly all networks, except frontal lobe networks, where differences in grey matter were more specific to ageing. While no networks specifically discriminated Alzheimer’s disease from ageing, heterogeneity in grey matter volumes across morphometric networks and in the whole-brain grey matter pattern characterized individuals with cognitive impairments. Preservation of the whole-brain grey matter pattern was also related to lower risk of developing cognitive impairment, more so than grey matter volume. These results suggest both ageing and Alzheimer’s disease involve widespread atrophy, but that the clinical expression of Alzheimer’s disease is uniquely associated with disruption of morphometric organization.

Partial volume effect-corrected FDG PET and grey matter volume loss in patients with mild Alzheimer’s disease

2007 ◽  
Vol 34 (10) ◽  
pp. 1658-1669 ◽  
Author(s):  
Miharu Samuraki ◽  
Ichiro Matsunari ◽  
Wei-Ping Chen ◽  
Kazuyoshi Yajima ◽  
Daisuke Yanase ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Fdg Pet ◽  
Grey Matter ◽  
Volume Effect ◽  
Partial Volume Effect ◽  
Grey Matter Volume ◽  
Volume Loss ◽  
Partial Volume ◽  
Matter Volume

Grey matter volume loss is associated with specific clinical motor signs in Huntington's disease

2018 ◽  
Vol 46 ◽  
pp. 56-61 ◽  
Author(s):  
Emma M. Coppen ◽  
Milou Jacobs ◽  
Annette A. van den Berg-Huysmans ◽  
Jeroen van der Grond ◽  
Raymund A.C. Roos
Keyword(s):  
Huntington's Disease ◽  
Huntington’S Disease ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Volume Loss ◽  
Matter Volume
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