scholarly journals Microstructural alterations of regional white matter tracts predict tau deposition in the Alzheimer’s disease signature regions

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Dahyun Yi ◽  
Min Soo Byun ◽  
Jun Ho Lee ◽  
Gihwan Byeon ◽  
Younghwa Lee ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
White Matter Tracts ◽  
Microstructural Alterations ◽  
Disease Signature

IC-P-108: Apparent fibre density: A novel MRI approach that identifies specific white matter tracts affected in Alzheimer's disease and MCI

2012 ◽  
Vol 8 (4S_Part_2) ◽  
pp. P61-P61
Author(s):  
David Raffelt ◽  
J. Donald Tournier ◽  
Stuart Crozier ◽  
Kathryn Ellis ◽  
Ralph Martins ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
White Matter Tracts ◽  
Fibre Density

scholarly journals Surface-Based Analysis on Shape and Fractional Anisotropy of White Matter Tracts in Alzheimer's Disease

PLoS ONE ◽  
2010 ◽  
Vol 5 (3) ◽  
pp. e9811 ◽  
Author(s):  
Anqi Qiu ◽  
Kenichi Oishi ◽  
Michael I. Miller ◽  
Constantine G. Lyketsos ◽  
Susumu Mori ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Fractional Anisotropy ◽  
White Matter Tracts

scholarly journals Distinctive disruption patterns of white matter tracts in Alzheimer's disease with full diffusion tensor characterization

2012 ◽  
Vol 33 (9) ◽  
pp. 2029-2045 ◽  
Author(s):  
Hao Huang ◽  
Xin Fan ◽  
Myron Weiner ◽  
Kristin Martin-Cook ◽  
Guanghua Xiao ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Diffusion Tensor ◽  
White Matter Tracts

P4-159: Apparent fibre density: A novel MRI approach that identifies specific white matter tracts affected in Alzheimer's disease and MCI

2012 ◽  
Vol 8 (4S_Part_19) ◽  
pp. P690-P691
Author(s):  
David Raffelt ◽  
J. Donald Tournier ◽  
Stuart Crozier ◽  
Kathryn Ellis ◽  
Ralph Martins ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
White Matter Tracts ◽  
Fibre Density

scholarly journals Longitudinal assessment of neuroinflammation and axonal loss in white matter tracts in Alzheimer’s disease

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Maggie Roy ◽  
Matthieu Dumont ◽  
Jean‐Christophe Houde ◽  
Félix Morency ◽  
Maxime Descoteaux
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Axonal Loss ◽  
Longitudinal Assessment ◽  
White Matter Tracts

scholarly journals Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer’s disease

2020 ◽  
Author(s):  
Yurui Gao ◽  
Anirban Sengupta ◽  
Muwei Li ◽  
Zhongliang Zu ◽  
Baxter P. Rogers ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
White Matter ◽  
Functional Connectivity ◽  
Cognitive Decline ◽  
Supervised Machine Learning ◽  
Cognitive Measures ◽  
White Matter Tracts ◽  
Functional Changes ◽  
Dementia Patients

AbstractObjectiveIn vivo functional changes in white matter during the progression of Alzheimer’s disease (AD) have not been previously reported. Our objectives are to measure changes in white matter functional connectivity (FC) in an aging population undergoing cognitive decline as AD develops, to establish their relationship to neuropsychological scores of cognitive abilities, and to assess their performance as predictors of AD.MethodsAnalyses were conducted using resting state functional MRI (rsfMRI) and neuropsychological data from 383 ADNI participants, including 136 cognitive normal (CN) controls, 46 with significant memory concern, 83 with early mild cognitive impairment (MCI), 37 with MCI, 46 with late MCI, and 35 with AD dementia. We used novel analyses of whole brain rsfMRI data to derive FC metrics between white matter tracts and discrete cortical volumes, as well as FC metrics between different white matter tracts, and their relationship to 6 cognitive measures. We then implemented supervised machine learning on white matter FCs to classify the participants and evaluated the performance.ResultsSignificant decreases were found in white matter FCs with prominent, specific, regional deficits appearing in late MCI and AD dementia patients relative to CN. These changes significantly correlated with behavioral measurements of impairments in cognition and memory. The sensitivity and specificity for distinguishing AD dementia and CN using white matter FCs were 0.83 and 0.81 respectively.Conclusions and RelevanceThe white matter FC decreased in late MCI and AD dementia patients compared to CN participants, and the white matter FC correlates with cognitive measures. White matter FC based classification shows promise for differentiating AD patients from CN. It is suggested that white matter FC may be a novel imaging biomarker of AD progression.

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