Quantitative approaches for assessment of white matter hyperintensities in elderly populations
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Cognitive neuroscience neuroimaging repository for the adult lifespanNeuroimaging of mobility in aging: a targeted reviewThe Reference Ability Neural Network Study: Life-time stability of reference-ability neural networks derived from task maps of young adults.Automated detection of white matter signal abnormality using T2 relaxometry: application to brain segmentation on term MRI in very preterm infants.White matter abnormalities associated with Alzheimer's disease and mild cognitive impairment: a critical review of MRI studies.Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.Education modulates the impact of white matter lesions on the risk of mild cognitive impairment and dementiaReview of cerebral microangiopathy and Alzheimer's disease: relation between white matter hyperintensities and microbleeds.Cerebral microbleeds in a multiethnic elderly community: demographic and clinical correlates.Contrast-based fully automatic segmentation of white matter hyperintensities: method and validationSpatial distribution of cerebral white matter lesions predicts progression to mild cognitive impairment and dementia.APOE ε4 and risk for Alzheimer's disease: do regionally distributed white matter hyperintensities play a role?Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer's disease incidence.Contemplating Alzheimer's disease and the contribution of white matter hyperintensities.Atlas-guided quantification of white matter signal abnormalities on term-equivalent age MRI in very preterm infants: findings predict language and cognitive development at two years of age.Cerebral autoregulation, beta amyloid, and white matter hyperintensities are interrelatedHigher BMI is associated with reduced brain volume in heart failure.White matter predictors of cognitive functioning in older adults.Is residual memory variance a valid method for quantifying cognitive reserve? A longitudinal applicationWhite matter hyperintensity volume and impaired mobility among older adults.Regional white matter hyperintensity volume, not hippocampal atrophy, predicts incident Alzheimer disease in the community.Sleep Disordered Breathing and White Matter Hyperintensities in Community-Dwelling Elders.The adverse impact of type 2 diabetes on brain volume in heart failure.Structural MRI Predictors of Late-Life Cognition Differ Across African Americans, Hispanics, and Whites.Cerebral perfusion is associated with white matter hyperintensities in older adults with heart failureIndependent and interactive effects of blood pressure and cardiac function on brain volume and white matter hyperintensities in heart failure.Reduced cerebral blood flow and white matter hyperintensities predict poor sleep in heart failure.Medicare Expenditure Correlates of Atrophy and Cerebrovascular Disease in Older Adults.Enhanced Long-Term Brain Magnetic Resonance Imaging Evaluation of Children with Sickle Cell Disease after Hematopoietic Cell Transplantation.Morphologic, distributional, volumetric, and intensity characterization of periventricular hyperintensities.Executive Functions in Healthy Older Adults Are Differentially Related to Macro- and Microstructural White Matter Characteristics of the Cerebral Lobes.Preliminary observations on MRI correlates of driving independence and performance in persons with heart failure.
P2860
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P2860
Quantitative approaches for assessment of white matter hyperintensities in elderly populations
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Quantitative approaches for as ...... nsities in elderly populations
@ast
Quantitative approaches for as ...... nsities in elderly populations
@en
type
label
Quantitative approaches for as ...... nsities in elderly populations
@ast
Quantitative approaches for as ...... nsities in elderly populations
@en
prefLabel
Quantitative approaches for as ...... nsities in elderly populations
@ast
Quantitative approaches for as ...... nsities in elderly populations
@en
P2093
P2860
P1433
P1476
Quantitative approaches for as ...... nsities in elderly populations
@en
P2093
Adam M Brickman
Ernst Garcon
Frank A Provenzano
Joel R Sneed
Lauren Johnert
Molly E Zimmerman
Steven P Roose
P2860
P304
P356
10.1016/J.PSCYCHRESNS.2011.03.007
P407
P577
2011-06-16T00:00:00Z