scholarly journals Association of white matter hyperintensities and gray matter volume with cognition in older individuals without cognitive impairment

2015 ◽  
Vol 221 (4) ◽  
pp. 2135-2146 ◽  
Author(s):  
Zoe Arvanitakis ◽  
Debra A. Fleischman ◽  
Konstantinos Arfanakis ◽  
Sue E. Leurgans ◽  
Lisa L. Barnes ◽  
...  
2014 ◽  
Vol 10 ◽  
pp. P704-P705
Author(s):  
Zoe Arvanitakis ◽  
Debra A. Fleischman ◽  
Konstantinos Arfanakis ◽  
Sue Leurgans ◽  
Lisa L. Barnes ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Malo Gaubert ◽  
Catharina Lange ◽  
Antoine Garnier-Crussard ◽  
Theresa Köbe ◽  
Salma Bougacha ◽  
...  

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.


2010 ◽  
Vol 53 (6) ◽  
pp. 397-403 ◽  
Author(s):  
Yasuyuki Taki ◽  
Shigeo Kinomura ◽  
Kazunori Sato ◽  
Ryoi Goto ◽  
Kai Wu ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e66367 ◽  
Author(s):  
Yu Zhang ◽  
Norbert Schuff ◽  
Monica Camacho ◽  
Linda L. Chao ◽  
Thomas P. Fletcher ◽  
...  

Neurology ◽  
2013 ◽  
Vol 80 (11) ◽  
pp. 1025-1032 ◽  
Author(s):  
H. E. Hulst ◽  
M. D. Steenwijk ◽  
A. Versteeg ◽  
P. J. W. Pouwels ◽  
H. Vrenken ◽  
...  

2019 ◽  
Vol 41 (5) ◽  
pp. 1309-1322 ◽  
Author(s):  
Anna Brugulat‐Serrat ◽  
Gemma Salvadó ◽  
Grégory Operto ◽  
Raffaele Cacciaglia ◽  
Carole H. Sudre ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yujun Qian ◽  
Ke Zheng ◽  
Tianye Lin ◽  
Feng Feng ◽  
Fei Han ◽  
...  

Abstract Background and Aims Cognitive impairment (CI) are prevalent and devastating in dialysis patients, whereas the pathophysiology is not very clear. Brain atrophy may involve in the process of CI. To explore the correlation between brain atrophy and cognitive impairment, as well as the risk factors of brain atrophy, we used the voxel based morphometry (VBM) method to evaluate the changes of brain multi-component volume in maintenance dialysis patients, and analyzed it relationship with detailed cognitive function. Method From July 2013 to July 2014, 181 maintenance dialysis patients in our hospital were enrolled for 3.0T MRI examination and cognitive function evaluation. The statistical parameter map (SPM) 8 software package was used for VBM analysis, and the Monte Carlo simulation method (alphasim method) in the functional neural image analysis software package (AFNI) was used for multiple comparison correction at the cluster level to extract the volume of brain multi-component. Cognitive function was evaluated with MMSE, MoCA, Philadelphia word learning test, Boston Naming Test, semantic fluency test and trial making test. The risk factors for brain volume were explored, and the correlation between brain volume and CI was investigated by regression analysis. Results This study enrolled 181 dialysis patients, including 119 cases of maintenance hemodialysis and 62 cases of peritoneal dialysis. According to MMSE and MoCA, the incidence of cognitive impairment was 22.7% and 66.3% respectively. The mean values gray matter volume and white matter volume were 575.4mm3 and 457.8mm3, respectively. The volume of gray matter, white matter, amygdala, caudate nucleus and hippocampus were positively correlated with the scores of specific cognitive functions such as total, memory, language and execution. Among them, amygdala volume atrophy was significantly related to the decrease of cognitive function such as MMSE (β = 2.81, P = 0.005), MoCA (β = 6.26, P < 0.001). Serum albumin is the risk factor of gray matter volume (β = 5.0, 95% CI = 3.1 to 6.9, P < 0.001) and white matter volume (β = 3.6, 95% CI = 1.7 to 5.5, P < 0.001); Serum Hypersensitive C-reactive protein is the risk factor of gray matter volume (β = -0.9, 95% CI = -1.7 to - 0.1, P = 0.037). Conclusion Brain atrophy in maintenance dialysis patients is closely related to multiple cognitive impairment, and malnutrition - microinflammation may be a risk factor for multi-component brain atrophy.


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