scholarly journals Computational genetics analysis of grey matter density in Alzheimer’s disease

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Amanda L Zieselman ◽  
◽  
Jonathan M Fisher ◽  
Ting Hu ◽  
Peter C Andrews ◽  
...  
2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Firoza Z. Lussier ◽  
Tharick A. Pascoal ◽  
Joseph Therriault ◽  
Cécile Tissot ◽  
Mélissa Savard ◽  
...  

2019 ◽  
Vol 15 ◽  
pp. P1152-P1153
Author(s):  
Emilie Thomas ◽  
Joseph Therriault ◽  
Tharick A. Pascoal ◽  
Sulantha Mathotaarachchi ◽  
Melissa Savard ◽  
...  

Pain ◽  
2014 ◽  
Vol 155 (3) ◽  
pp. 566-573 ◽  
Author(s):  
Nichole M. Emerson ◽  
Fadel Zeidan ◽  
Oleg V. Lobanov ◽  
Morten S. Hadsel ◽  
Katherine T. Martucci ◽  
...  

2008 ◽  
Vol 103 (1-3) ◽  
pp. 319-321 ◽  
Author(s):  
Emmanuel Stip ◽  
Adham Mancini-Marïe ◽  
Cherine Fahim ◽  
Lahcen Ait Bentaleb ◽  
Genevieve Létourneau ◽  
...  

2017 ◽  
Vol 13 (7) ◽  
pp. P1493
Author(s):  
Kacie Deters ◽  
Shannon L. Risacher ◽  
Kaj Blennow ◽  
Henrik Zetterberg ◽  
Michael Weiner ◽  
...  

Neuroscience ◽  
2009 ◽  
Vol 163 (4) ◽  
pp. 1102-1108 ◽  
Author(s):  
J. Peters ◽  
M. Dauvermann ◽  
C. Mette ◽  
P. Platen ◽  
J. Franke ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P288-P288
Author(s):  
Gennady V. Roshchupkin ◽  
Hazel I. Zonneveld ◽  
Hieab H.H. Adams ◽  
Meike W. Vernooij ◽  
Wiro J. Niessen ◽  
...  

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Jonathan Graff-Radford ◽  
Rosebud Roberts ◽  
Malini Madhavan ◽  
Alejandro Rabinstein ◽  
Ruth Cha ◽  
...  

The objective of this study was to investigate the cross-sectional associations of atrial fibrillation with neuroimaging measures of cerebrovascular disease and Alzheimer’s disease-related pathology, and their interaction with cognitive impairment. MRI scans of non-demented individuals (n=1044) from the population-based Mayo Clinic Study of Aging were analyzed for infarctions, total grey matter, hippocampal and white matter hyperintensity volumes. A subset of 496 individuals underwent FDG and C-11 Pittsburgh compound B (PiB) PET scans. We assessed the associations of atrial fibrillation with i) categorical MRI measures (cortical and subcortical infarctions) using multivariable logistic regression models, and with ii) continuous MRI measures ( hippocampal, total grey matter, and white matter hyperintensity volumes) and FDG-PET and PiB-PET measures using multivariable linear regression models, and adjusting for confounders. Among participants who underwent MRI (median age, 77.8, 51.6% male), 13.5% had atrial fibrillation. Presence of atrial fibrillation was associated with subcortical infarctions (odds ratio [OR], 1.83; p=0.002), cortical infarctions (OR, 1.91; p=0.03), total grey matter volume (Beta [β], -.025, p<.0001) after controlling for age, education, gender, APOE e4 carrier status, coronary artery disease, diabetes, history of clinical stroke, and hypertension. However, atrial fibrillation was not associated with white matter hyperintensity volume, hippocampal volume, Alzheimer’s pattern of FDG hypometabolism or PiB uptake. There was a significant interaction of cortical infarction (p for interaction=0.004) and subcortical infarction (p for interaction =0.015) with atrial fibrillation with regards to odds of mild cognitive impairment (MCI). Using subjects with no atrial fibrillation and no infarction as the reference, the OR (95% confidence intervals [CI]) for MCI was 2.98 (1.66, 5.35;p = 0.0002) among participants with atrial fibrillation and any infarction, 0.69 (0.36, 1.33;p= 0.27) for atrial fibrillation and no infarction, and 1.50 (0.96, 2.32;p = 0.07) for no atrial fibrillation and any infarction. These data highlight that atrial fibrillation is associated with MCI in the presence of infarctions.


Brain ◽  
2019 ◽  
Vol 142 (6) ◽  
pp. 1701-1722 ◽  
Author(s):  
Jeffrey S Phillips ◽  
Fulvio Da Re ◽  
David J Irwin ◽  
Corey T McMillan ◽  
Sanjeev N Vaishnavi ◽  
...  

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