scholarly journals P3-352: ASSOCIATION BETWEEN COGNITION AND CEREBRAL WHITE MATTER FREE WATER IN ADULTS FROM THE FRAMINGHAM HEART STUDY: A DIFFUSION TENSOR IMAGING VOXEL-BASED STUDY

2019 ◽  
Vol 15 ◽  
pp. P1078-P1079
Author(s):  
Pauline Maillard ◽  
Jayandra J. Himali ◽  
Alexa S. Beiser ◽  
Evan Fletcher ◽  
Bryanne Peets ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Framingham Heart Study ◽  
Diffusion Tensor ◽  
Free Water ◽  
Cerebral White Matter ◽  
Heart Study

Abstract P427: Coronary Artery Calcium Assessed Years Before Was Positively Associated With Subtle White-matter Injury in Asymptomatic Middle-aged Men: The Framingham Heart Study

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Harumitsu Suzuki ◽  
Kendra Davis-Plourde ◽  
Alexa Beiser ◽  
Katsuyuki Miura ◽  
Charles DeCarli ◽  
...  
Keyword(s):  
Coronary Artery ◽  
White Matter ◽  
Framingham Heart Study ◽  
Diffusion Tensor ◽  
Free Water ◽  
White Matter Injury ◽  
Brain Diseases ◽  
Agatston Score ◽  
Middle Aged ◽  
Heart Study

Introduction: Using magnetic resonance (MR) diffusion tensor imaging (DTI), we previously showed a cross-sectional association between carotid-femoral pulse wave velocity (CFPWV), a measure of aortic stiffness, and subtle white-matter injury in clinically asymptomatic middle-age adults. Although coronary artery calcification (CAC) predicted cerebral small vessel diseases evident in conventional MR technique in some studies, it remains unclear whether CAC predicts DTI-based subtle white matter injuries. Hypothesis: CAC and CFPWV are associated with global measures of subtle white-matter injury in middle-aged adults free of clinical brain diseases. Methods: We studied third-generation participants of the Framingham Heart Study who were assessed for CAC (2002-2005), CFPWV, and brain DTI (2009-2013). After excluding prevalent stroke, dementia, other neurological conditions, or those with missing data, 1052 participants (women, 45.4%, mean age: 45.4 years) were analyzed. Two DTI-based outcomes were examined (average within voxels from the white matter mask): free water (FW) and FW-corrected fractional anisotropy (FA). Using linear regression, we calculated slopes of the outcomes per 20-80 th percentiles higher CAC (log-transformed Agatston score) or CFPWV (negative inverse) after adjustment for age and age squared at CAC or CFPWV, time between at CAC/CFPWV and DTI exam, systolic blood pressure, diabetes, total cholesterol, medication(s) for hypertension or dyslipidemia, smoking, and total cranial volume. Results: After multivariable adjustment, in men, CAC was associated only with FA (p=0.033), whereas CFPWV was associated only with FW (p=0.030) ( Figure ). No associations were observed in women. Conclusions: In men, CAC assessed at >7.5 years earlier was associated with worse FA, while CFPWV assessed at 1.7 years earlier was associated with worse FW. CAC may be a sensitive maker to predict subtle white-matter injury in asymptomatic middle-aged men.

Diffusion Tensor Imaging and Fiber Tractography

2009 ◽  
pp. 229-246
Author(s):  
Evanthia E. Tripoliti ◽  
Dimitrios I. Fotiadis ◽  
Konstantia Veliou
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Brain Regions ◽  
Cerebral White Matter ◽  
Tissue Microstructure ◽  
Diffusion Weighted Images ◽  
Fiber Tracts ◽  
Diffusion Weighted ◽  
Magnetic Resonance Imaging Mri

Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging (MRI) modality which can significantly improve our understanding of the brain structures and neural connectivity. DTI measures are thought to be representative of brain tissue microstructure and are particularly useful for examining organized brain regions, such as white matter tract areas. DTI measures the water diffusion tensor using diffusion weighted pulse sequences which are sensitive to microscopic random water motion. The resulting diffusion weighted images (DWI) display and allow quantification of how water diffuses along axes or diffusion encoding directions. This can help to measure and quantify the tissue’s orientation and structure, making it an ideal tool for examining cerebral white matter and neural fiber tracts. In this chapter the authors discuss the theoretical aspects of DTI, the information that can be extracted from DTI data, and the use of the extracted information for the reconstruction of fiber tracts and the diagnosis of a disease. In addition, a review of known fiber tracking algorithms is presented.

Diffusion Tensor Imaging of Cerebral White Matter*

2008 ◽  
Vol 18 (3) ◽  
pp. 155-162 ◽  
Author(s):  
Peter Stoeter ◽  
Paulo Roberto Dellani ◽  
Goran Vucurevic
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Cerebral White Matter

scholarly journals Genetics of microstructure of cerebral white matter using diffusion tensor imaging

NeuroImage ◽  
2010 ◽  
Vol 53 (3) ◽  
pp. 1109-1116 ◽  
Author(s):  
P. Kochunov ◽  
D.C. Glahn ◽  
J.L. Lancaster ◽  
A.M. Winkler ◽  
S. Smith ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Cerebral White Matter

P1.008 Diffusion tensor imaging and hypertension in elderly with cerebral white matter lesions. The RUN DMC study

2008 ◽  
Vol 14 ◽  
pp. S12-S13
Author(s):  
R.A.R. Gons ◽  
K.F. De Laat ◽  
A.G.W. Van Norden ◽  
L.J.B. Van Oudheusden ◽  
M.P. Zwiers ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
White Matter Lesions ◽  
Cerebral White Matter ◽  
Cerebral White Matter Lesions

scholarly journals Cerebral white matter free water

Neurology ◽  
2019 ◽  
Vol 92 (19) ◽  
pp. e2221-e2231 ◽  
Author(s):  
Pauline Maillard ◽  
Evan Fletcher ◽  
Baljeet Singh ◽  
Oliver Martinez ◽  
David K. Johnson ◽  
...  
Keyword(s):  
White Matter ◽  
Proportional Hazards ◽  
Functional Performance ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Free Water ◽  
Cox Proportional Hazards ◽  
Cerebral White Matter ◽  
Clinical Dementia Rating ◽  
Cross Sectional

ObjectiveTo determine whether free water (FW) content, initially developed to correct metrics derived from diffusion tensor imaging and recently found to be strongly associated with vascular risk factors, may constitute a sensitive biomarker of white matter (WM) microstructural differences associated with cognitive performance but remains unknown.MethodsFive hundred thirty-six cognitively diverse individuals, aged 77 ± 8 years, received yearly comprehensive clinical evaluations and a baseline MRI examination of whom 224 underwent follow-up MRI. WM microstructural measures, including FW, fractional anisotropy, and mean diffusivity corrected for FW and WM hyperintensity burden were computed within WM voxels of each individual. Baseline and change in MRI metrics were then used as independent variables to explain baseline and change in episodic memory (EM), executive function (EF), and Clinical Dementia Rating (CDR) scores using linear, logistic, and Cox proportional-hazards regressions.ResultsHigher baseline FW and WM hyperintensity were associated with lower baseline EM and EF, higher baseline CDR, accelerated EF and EM decline, and higher probability to transition to a more severe CDR stage (p values <0.01). Annual change in FW was also found to be associated with concomitant change in cognitive and functional performance (p values <0.01).ConclusionsThis study finds cross-sectional and longitudinal associations between FW content and trajectory of cognitive and functional performance in a large sample of cognitively diverse individuals. It supports the need to investigate the pathophysiologic process that manifests increased FW, potentially leading to more severe WM territory injury and promoting cognitive and functional decline.

Sign in / Sign up

Export Citation Format

Share Document