Whole Brain and Regional Hyperintense White Matter Volume and Blood Pressure

Kochunov, Peter; Glahn, David C.; Lancaster, Jack L.; Winkler, Anderson M.; Kent, Jack W.; Olvera, Rene L.; Cole, Shelley A.; Dyer, Thomas D.; Almasy, Laura; Duggirala, Ravi; Fox, Peter T.; Blangero, John

doi:10.1161/strokeaha.110.590943

Cited by 46 publications

(41 citation statements)

References 33 publications

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“…We believe that higher variance in periependymal count measurements is secondary to these artifacts, making accurate identification of small periependymal lesions more challenging. This effect is further exaggerated by much smaller (3–5 times) number and volume of lesions in this healthy sample, compared to those reported in the general population (Kochunov et al., 2009, 2010), magnifying the effect of misidentifying even a single small lesion.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility of quantitative structural and physiological MRI measurements

et al. 2017

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IntroductionQuantitative longitudinal magnetic resonance imaging and spectroscopy (MRI/S) is used to assess progress of brain disorders and treatment effects. Understanding the significance of MRI/S changes requires knowledge of the inherent technical and physiological consistency of these measurements. This longitudinal study examined the variance and reproducibility of commonly used quantitative MRI/S measurements in healthy subjects while controlling physiological and technical parameters.MethodsTwenty‐five subjects were imaged three times over 5 days on a Siemens 3T Verio scanner equipped with a 32‐channel phase array coil. Structural (T1, T2‐weighted, and diffusion‐weighted imaging) and physiological (pseudocontinuous arterial spin labeling, proton magnetic resonance spectroscopy) data were collected. Consistency of repeated images was evaluated with mean relative difference, mean coefficient of variation, and intraclass correlation (ICC). Finally, a “reproducibility rating” was calculated based on the number of subjects needed for a 3% and 10% difference.ResultsStructural measurements generally demonstrated excellent reproducibility (ICCs 0.872–0.998) with a few exceptions. Moderate‐to‐low reproducibility was observed for fractional anisotropy measurements in fornix and corticospinal tracts, for cortical gray matter thickness in the entorhinal, insula, and medial orbitofrontal regions, and for the count of the periependymal hyperintensive white matter regions. The reproducibility of physiological measurements ranged from excellent for most of the magnetic resonance spectroscopy measurements to moderate for permeability‐diffusivity coefficients in cingulate gray matter to low for regional blood flow in gray and white matter.DiscussionThis study demonstrates a high degree of longitudinal consistency across structural and physiological measurements in healthy subjects, defining the inherent variability in these commonly used sequences. Additionally, this study identifies those areas where caution should be exercised in interpretation. Understanding this variability can serve as the basis for interpretation of MRI/S data in the assessment of neurological disorders and treatment effects.

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Section: Discussionmentioning

confidence: 99%

Reproducibility of quantitative structural and physiological MRI measurements

et al. 2017

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“…This presents a unique opportunity to study the association between WMH burden caused by occupational factors rather than aging or illnesses in high-performing individuals with optimal health, free of the cardiovascular and metabolic risk factors frequently present in individuals with significant WMH burden. [12][13][14]16,17 We studied the effects of occupational hypobaria on neurocognition by testing 2 hypotheses: (1) there will be a significant reduction in the neurocognitive test scores between USAF pilots (AFPs) repetitively exposed to hypobaria compared with AFPs not exposed to repetitive hypobaria, and (2) the volume and number of WMH will explain a significant proportion of the variability of the neurocognitive performance in AFPs who were occupationally exposed to repetitive hypobaria.…”

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confidence: 99%

“…25 Interpretation of these associations between WMH abnormalities and neurocognition is complicated by both the nonspecific nature of sporadic WMH regions and the potential differences in the underlying pathophysiologic mechanisms of WMH. In aging studies, increased WMH burden is associated with many insidious and chronic conditions including cerebrovascular inflammation, 16,26 small-vessel stenosis, 27 diabetes, and hypertension. 28 In addition, the associations between WMH abnormalities and neurocognitive performance are often drawn from observations in elderly and patient populations.…”

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confidence: 99%

Lower neurocognitive function in U-2 pilots

et al. 2014

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“…No entanto, é de salientar que novos estudos têm demonstrado existir uma base genética na associação entre a hipertensão e as alterações da substância branca. 20,21 . Podendo esta ser uma das explicações pelos resultados menos satisfatórios que o antecipado no uso de anti-hipertensores para prevenir as HSBPEV.…”

Section: Discussionunclassified

Aterosclerose Carotídea e Hipodensidades da Substância Branca: uma Relação Controversa

et al. 2014

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Introduction:White matter hypodensities of presumed vascular origin, are recognized as an important cause of morbidity with established clinical and cognitive consequences. Nonetheless, many doubts remain on its physiopathology. Our goal is to clarify the potential role of carotid atherosclerosis and other vascular risk factors in the development of white matter hypodensities of presumed vascular origin. Material and Methods:We included patients that underwent CT brain scan and neurosonologic evaluation within a one-month period. Full assessment of vascular risks factors was performed. We seek to find independent associations between white matter hypodensities of presumed vascular origin, carotid intima-media thickness and vascular risk factors. Results: 472 patients were included, mean age was 67.32 (SD: 14.75), 274 (58.1%) were male. The independent predictors of white matter hypodensities of presumed vascular origin were age (OR: 1.067, 95% IC: 1.049 -1.086, p < 0.001) and hypertension (OR: 1.726, 95% IC: 1.097 -2.715, p = 0.018). No association was found between IMT (OR: 2.613, 95% IC: 0.886 -7.708, p = 0.082) or carotid artery stenosis (OR: 1.021, 95% IC: 0.785 -1.328, p = 0.877) and white matter hypodensities of presumed vascular origin. Discussion: Only age and hypertension proved to have an independent association with white matter hypodensities of presumed vascular origin. Carotid atherosclerosis, evaluated by IMT and the degree of carotid artery stenosis, showed no association with white matter hypodensities of presumed vascular origin. Since atherosclerosis is a systemic pathology, these results suggest that alternative mechanisms are responsible for the development of white matter hypodensities of presumed vascular origin. Conclusion: Age and hypertension seem to be the main factors in the development of white matter hypodensities of presumed vascular origin. No association was found between carotid atherosclerosis and white matter hypodensities of presumed vascular origin.

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Whole Brain and Regional Hyperintense White Matter Volume and Blood Pressure

Cited by 46 publications

References 33 publications

Reproducibility of quantitative structural and physiological MRI measurements

Reproducibility of quantitative structural and physiological MRI measurements

Lower neurocognitive function in U-2 pilots

Aterosclerose Carotídea e Hipodensidades da Substância Branca: uma Relação Controversa

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