P4-033: THE ASSOCIATION OF PERIVENTRICULAR WHITE MATTER LESION VOLUME WITH GLOBAL COGNITION, EXECUTIVE FUNCTION, GAIT SPEED AND PULSE WAVE VELOCITY

2006 ◽  
Vol 14 (7S_Part_27) ◽  
pp. P1445-P1446 ◽  
Author(s):  
Walid Ahmed Al Keridy ◽  
Ging-Yuek Robin Hsiung ◽  
John R. Best ◽  
Teresa Liu-Ambrose
Keyword(s):  
Executive Function ◽  
White Matter ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Gait Speed ◽  
Pulse Wave ◽  
White Matter Lesion ◽  
Periventricular White Matter ◽  
Lesion Volume ◽  
Global Cognition

scholarly journals P4-328: HIGHER BASELINE AORTIC PULSE WAVE VELOCITY RELATES TO LONGITUDINAL GREY AND WHITE MATTER CHANGES

2019 ◽  
Vol 15 ◽  
pp. P1421-P1421
Author(s):  
Corey W. Bown ◽  
Omair A. Khan ◽  
Dandan Liu ◽  
Kimberly R. Pechman ◽  
Francis E. Cambronero ◽  
...  
Keyword(s):  
White Matter ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Aortic Pulse Wave Velocity ◽  
White Matter Changes

Abstract 110: Age Associated Brain Volume is More Closely Correlated to Periventricular than Deep White Matter Disease

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Paul Nyquist ◽  
Murat Bilgel ◽  
Lisa R Yanek ◽  
Taryn F Moy ◽  
Lewis C Becker ◽  
...  
Keyword(s):  
White Matter ◽  
Brain Volume ◽  
White Matter Lesion ◽  
Older Age ◽  
Periventricular White Matter ◽  
Premature Coronary Artery Disease ◽  
Lesion Volume ◽  
Intracranial Volume ◽  
Total Brain Volume ◽  
Deep White Matter

Introduction: The loss of total brain volume (TBV) due to aging is associated with increasing ischemic white matter lesion volume (WMH) and dementia. Lower TBV may be secondary to chronic ischemia and hypoperfusion throughout the periventricular white matter rather than the burden of focal ischemia in the deep white matter. We hypothesized lower TBV would be more closely correlated with increasing periventricular white matter lesion volume (PV) rather than deep white matter lesion volume (DWMH). Methods: We enrolled 593 asymptomatic family members of probands with premature coronary artery disease (<60 years). DWMH, PV, and TBV were measured with 3Tesla MRI. Multivariate regression was completed for DWMH, PV, and TBV using volume change per age decade controlling for sex, race, diabetes, smoking currently, hypertension, obesity , and intracranial volume (ICV) for TBV, and a spline incorporated at age 54. Results: Participants were 58% women, 37% African-American, 29-74 years old. TBV/ICV was more correlated to PV than DWMH (correlation coefficients -0.26 and -0.11, p=<0.001 and 0.006). The PV was greater with older age 9%/decade until age 54 (95% CI 4-15%) and 24%/decade after age 54 (95% CI 1.6-3.2%). TBV was reduced with older age: 1.1 % smaller/decade until age 54 (95% CI -0.6 to -1.6) and 2.4% smaller/decade after (95% CI -1.6 to -3.1). For PV and TBV their age association changed significantly after age 54 (p=0.012, and 0.014). DWMH age association remained constant regardless of age. Conclusions: PV is more strongly correlated to TBV than DWMH and the age associated changes in PV and TBV were more similar to one another than DWMH. The association of increasing PV with lower TBV may help to explain the association of cognitive and motor decline with increasing PV. Future longitudinal studies are needed to verify this association.

scholarly journals Carotid-Femoral Pulse Wave Velocity Is Associated With Cerebral White Matter Lesions in Type 2 Diabetes

Diabetes Care ◽  
2012 ◽  
Vol 36 (3) ◽  
pp. 722-728 ◽  
Author(s):  
E. Laugesen ◽  
P. Hoyem ◽  
B. Stausbol-Gron ◽  
A. Mikkelsen ◽  
S. Thrysoe ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
White Matter ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
White Matter Lesions ◽  
Cerebral White Matter ◽  
Cerebral White Matter Lesions

scholarly journals Arterial stiffness and age moderate the association between physical activity and global cognition in the older adults

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
A Noriega De La Colina ◽  
A Badji ◽  
M Lamarre-Cliche ◽  
L Bherer ◽  
H Girouard ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Structural Damage ◽  
Pulse Wave ◽  
Conditional Effects ◽  
Global Cognition ◽  
The Impact

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The Merck Sharp & Dohme Corp Program of the Faculty of Medicine of the Université de Montréal The Canadian Institutes of Health Research (CIHR) Background The growing concern on the impact of higher arterial stiffness on cognitive decline in older adults, leads to the question of whether non-pharmacological interventions like physical activity should be introduced to correct or diminish the progression of arterial stiffness. Purpose The goal of this study is to elaborate a model for arterial stiffness as a moderator for the physical activity and global cognition relationship in function of age.  Methods One hundred ten healthy older adults aged 60 to 75 years old (46 men and 64 women) were examined for arterial stiffness (carotid-femoral Pulse Wave Velocity (cf-PWV)), global cognition (Montreal Cognitive Assessment and Mini Mental State Examination) and self-reported physical activity (PACED diary). The double moderation analysis used PROCESS macro for SPSS, where physical activity was included as the independent variable (X), global cognition as the dependent variable (Y), arterial stiffness as moderator 1 (W), and age moderator 2 (Z). This study used a cf-PWV cutoff of 8.5 m/s to identify micro-structural damage in the brain related to arterial stiffness. Results Results found that the arterial stiffness x age interaction moderated the effect of physical activity on global cognition (β = -.89, SE = .42, p = .037) (Model: R2 = .15, p = .018). Physical activity had a positive effect on cognition in younger-older adults (aged 60 to 68.5 years) with high arterial stiffness i.e. cf-PWV &gt; 8.5 m/s (β = .57, SE = .222, p = .011, 95% CI .133 to 1.014), and in older-older adults (aged 68.6 to 75 years) with low arterial stiffness i.e. cf-PWV &lt; 8.5 m/s (β = .49, SE = .190, p = .010, 95% CI = .116 to .869).  Conclusions These results support targeted physical activity interventions based on age and degree of arterial stiffness, furthering the notion that even daily life physical activity could play an important role in older adults’ cognitive performances. Physical activity on global cognition Conditional effects of physical activity on global cognition Moderators cf-PWV Age Effect SE p CI &lt; 8.5 m/s &lt; 68.5 years .171 .245 .487 -.315 to .657 &lt; 8.5 m/s &gt; = 68.5 years .574 .222 .011* .133 to 1.014 &gt; = 8.5 m/s &lt; 68.5 years .492 .190 .010* .116 to .868 &gt; = 8.5 m/s &gt; = 68.5 years .002 .180 .990 -.355 to .359 Physical activity conditional effects on global cognition at determined values of arterial stiffness and age. SE: Standard Error, CI: Confidence Interval, cf-PWV: carotid-femoral Pulse Wave Velocity, *p-value&lt;.05.

scholarly journals Homocysteine and cerebral white matter lesions: the Rotterdam Scan Study

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 321-321
Author(s):  
Ewoud J van Dijk ◽  
Sarah E Vermeer ◽  
Tom den Heijer ◽  
Matthijs Oudkerk ◽  
Albert Hofman ◽  
...  
Keyword(s):  
White Matter ◽  
Homocysteine Level ◽  
White Matter Lesion ◽  
White Matter Lesions ◽  
Subcortical White Matter ◽  
Plasma Homocysteine ◽  
Periventricular White Matter ◽  
Lesion Volume ◽  
Total Plasma ◽  
Periventricular White Matter Lesions

31 Background White matter lesions are frequently observed on cerebral MRI scans. There is evidence that white matter lesions are involved in the pathophysiology of cognitive decline, dementia and late-onset depression. Cardiovascular risk factors are associated with these lesions. A high homocysteine level is associated with an increased risk of cardiovascular disease. Therefore, we studied the association between homocysteine and white matter lesions. Method This study forms part of the Rotterdam Scan Study, a prospective population-based cohort study among 1077 subjects, aged 60 to 90 years. All participants underwent MRI scanning of the brain. White matter lesions were defined as hyperintense lesions on both proton-density and T2-weighted images, without prominent hypointensity on T1-weighted images. Periventricular white matter lesions were rated on a nine-point scale. For subcortical white matter lesions an approximated total lesion volume was calculated. Homocysteine levels were determined in plasma samples, obtained within 3 weeks before scanning. The association between total plasma homocysteine and white matter lesions was assessed through multiple linear regression analysis, adjusted for age and gender. Results The total plasma homocysteine levels ranged from 3.4 to 70.7 μmol/l with a mean of 11.7 μmol/l [95%CI 11.4–12.0]. We found a mean value of 2.4 [95%CI 2.3–2.5] for periventricular white matter lesion severity and of 1.4 ml [95%CI 1.2–1.6] for subcortical white matter lesion volume. Periventricular white matter lesions increased with 0.4 [95%CI 0.1–0.6] and subcortical white matter lesions with 0.5 ml [95%CI 0.1–0.8] per 10 μmol/l increase in homocysteine level. Conclusion Higher homocysteine levels are associated with an increased severity of both periventricular and subcortical white matter lesions.

White matter hyperintensities in migraine: Clinical significance and central pulsatile hemodynamic correlates

Cephalalgia ◽  
2017 ◽  
Vol 38 (7) ◽  
pp. 1225-1236 ◽  
Author(s):  
Chun-Yu Cheng ◽  
Hao-Min Cheng ◽  
Shih-Pin Chen ◽  
Chih-Ping Chung ◽  
Yung-Yang Lin ◽  
...  
Keyword(s):  
Blood Pressure ◽  
White Matter ◽  
Pulse Wave Velocity ◽  
Systolic Blood Pressure ◽  
Wave Velocity ◽  
Pulsatility Index ◽  
White Matter Hyperintensities ◽  
Pulse Wave ◽  
Healthy Controls ◽  
Central Systolic Blood Pressure

Background The role of central pulsatile hemodynamics in the pathogenesis of white matter hyperintensities in migraine patients has not been clarified. Methods Sixty patients with migraine (20–50 years old; women, 68%) without overt vascular risk factors and 30 demographically-matched healthy controls were recruited prospectively. Cerebral white matter hyperintensities volume was determined by T1-weighted magnetic resonance imaging with CUBE-fluid-attenuated-inversion-recovery sequences. Central systolic blood pressure, carotid-femoral pulse wave velocity, and carotid augmentation index were measured by applanation tonometry. Carotid pulsatility index was derived from Doppler ultrasound carotid artery flow analysis. Results Compared to the controls, the migraine patients had higher white matter hyperintensities frequency (odds ratio, 2.75; p = 0.04) and greater mean white matter hyperintensities volume (0.174 vs. 0.049, cm3, p = 0.04). Multivariable regression analysis showed that white matter hyperintensities volume in migraine patients was positively associated with central systolic blood pressure ( p = 0.04) and carotid-femoral pulse wave velocity ( p < 0.001), but negatively associated with carotid pulsatility index ( p = 0.04) after controlling for potential confounding factors. The interaction effects observed indicated that the influence of carotid-femoral pulse wave velocity ( p = 0.004) and central systolic blood pressure ( p = 0.03) on white matter hyperintensities formation was greater for the lower-carotid pulsatility index subgroup of migraine patients. White matter hyperintensities volume in migraine patients increased with decreasing carotid pulsatility index and with increasing central systolic blood pressure or carotid-femoral pulse wave velocity. Conclusions White matter hyperintensities are more common in patients with migraine than in healthy controls. Increased aortic stiffness or central systolic blood pressure in the presence of low intracranial artery resistance may predispose patients with migraine to white matter hyperintensities formation.

scholarly journals White Matter Hyperintensities: Use of Aortic Arch Pulse Wave Velocity to Predict Volume Independent of Other Cardiovascular Risk Factors

Radiology ◽  
2013 ◽  
Vol 267 (3) ◽  
pp. 709-717 ◽  
Author(s):  
Kevin S. King ◽  
Ke Xun Chen ◽  
Keith M. Hulsey ◽  
Roderick W. McColl ◽  
Myron F. Weiner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
White Matter ◽  
Pulse Wave Velocity ◽  
Cardiovascular Risk Factors ◽  
Aortic Arch ◽  
Wave Velocity ◽  
White Matter Hyperintensities ◽  
Pulse Wave
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