P3-128: Differences in MRI measures of brain volume, white matter hyperintensities and infarcts in Chinese: The Shanghai Community Brain Health Initiative (SCOBHI)

Objective:To test the hypothesis that reduced slow-wave sleep, or N3 sleep, which is thought to underlie the restorative functions of sleep, is associated with MRI markers of brain aging, we evaluated this relationship in the community-based Framingham Heart Study Offspring cohort using polysomnography and brain MRI.Methods:We studied 492 participants (58.8 ± 8.8 years, 49.4% male) free of neurological diseases who completed a brain MRI scan and in-home overnight polysomnography to assess slow-wave sleep (absolute duration and percentage of total sleep). Volumes of total brain, total cortical, frontal cortical, subcortical gray matter, hippocampus, and white matter hyperintensities were investigated as a percentage of intracranial volume and the presence of covert brain infarcts was evaluated. Linear and logistic regression models were adjusted for age, age squared, sex, time interval between polysomnography and MRI (3.3 ± 1.0 years), APOE4 carrier status, stroke risk factors, sleeping pill use, body mass index and depression.Results:Less slow-wave sleep was associated with lower cortical brain volume (absolute duration, β[standard error]: 0.20[0.08], p=0.015; percentage, 0.16[0.08], p=0.044), lower subcortical brain volume (percentage, 0.03[0.02], p=0.034), and higher white matter hyperintensities volume (absolute duration, -0.12[0.05], p=0.010; percentage -0.10[0.04], p=0.033). Slow-wave sleep duration was not associated with hippocampal volume or the presence of covert brain infarcts.Conclusion:Loss of slow-wave sleep might facilitate accelerated brain aging, as evidence by its association with MRI markers suggestive of brain atrophy and injury. Alternatively, subtle injuries and accelerated aging might reduce the ability of the brain to produce slow-wave sleep.

Download Full-text

A Prospective Pilot Investigation of Brain Volume, White Matter Hyperintensities, and Hemorrhagic Lesions after Mild Traumatic Brain Injury

Frontiers in Neurology ◽

10.3389/fneur.2016.00011 ◽

2016 ◽

Vol 7 ◽

Cited By ~ 25

Author(s):

Michael Jarrett ◽

Roger Tam ◽

Enedino Hernández-Torres ◽

Nancy Martin ◽

Warren Perera ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

White Matter ◽

Mild Traumatic Brain Injury ◽

White Matter Hyperintensities ◽

Brain Volume ◽

Pilot Investigation

Download Full-text

Independent and interactive effects of blood pressure and cardiac function on brain volume and white matter hyperintensities in heart failure

Journal of the American Society of Hypertension ◽

10.1016/j.jash.2013.04.011 ◽

2013 ◽

Vol 7 (5) ◽

pp. 336-343 ◽

Cited By ~ 19

Author(s):

Michael L. Alosco ◽

Adam M. Brickman ◽

Mary Beth Spitznagel ◽

Erica Y. Griffith ◽

Atul Narkhede ◽

...

Keyword(s):

Heart Failure ◽

Blood Pressure ◽

White Matter ◽

Cardiac Function ◽

White Matter Hyperintensities ◽

Brain Volume ◽

Interactive Effects

Download Full-text

Cardiovascular disease and brain health: Focus on white matter hyperintensities

IJC Heart & Vasculature ◽

10.1016/j.ijcha.2018.04.006 ◽

2018 ◽

Vol 19 ◽

pp. 63-69 ◽

Cited By ~ 13

Author(s):

Francesco Moroni ◽

Enrico Ammirati ◽

Maria A. Rocca ◽

Massimo Filippi ◽

Marco Magnoni ◽

...

Keyword(s):

Cardiovascular Disease ◽

White Matter ◽

White Matter Hyperintensities ◽

Brain Health

Download Full-text

Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study

Neurology ◽

10.1212/wnl.0000000000012572 ◽

2021 ◽

pp. 10.1212/WNL.0000000000012572

Author(s):

Irene S Heger ◽

Kay Deckers ◽

Miranda T Schram ◽

Coen DA Stehouwer ◽

Pieter C Dagnelie ◽

...

Keyword(s):

Cognitive Impairment ◽

Information Processing ◽

Executive Function ◽

White Matter ◽

Processing Speed ◽

Grey Matter ◽

White Matter Hyperintensities ◽

Information Processing Speed ◽

Brain Health ◽

Dementia Risk

Background and Objectives:Observational research has shown that a substantial proportion of all dementia cases worldwide is attributable to modifiable risk factors. Dementia risk scores might be useful to identify high-risk individuals and monitor treatment adherence. The objective of this study was to investigate whether a dementia risk score, the LIfestyle for BRAin health (LIBRA) index, is associated with MRI markers and cognitive functioning/impairment in the general population.Methods:Cross-sectional data was used from the observational population-based cohort of The Maastricht Study.. The weighted compound score of LIBRA (including twelve dementia risk and protective factors, e.g. hypertension, physical inactivity) was calculated, with higher scores indicating higher dementia risk. Standardized volumes of white matter, grey matter, CSF (as proxy for general brain atrophy), white matter hyperintensities, and presence of cerebral small vessel disease were derived from 3T MRI. Cognitive functioning was tested in three domains: memory, information processing speed, and executive function and attention. Values ≤1.5 SD below the average were defined as cognitive impairment. Multiple regression analyses and structural equation modelling were used, adjusted for age, sex, education, intracranial volume and type-2 diabetes.Results:Participants (n=4,164; mean age 59y; 49.7% men) with higher LIBRA scores (mean=1.19, range=-2.7 to +9.2), denoting higher dementia risk, had higher volumes of white matter hyperintensities (β=0.051, p=.002), and lower scores on information processing speed (β=-0.067, p=.001) and executive function and attention (β=-0.065, p=.004). Only in men, associations between LIBRA and volumes of grey matter (β=-0.093, p<.001), CSF (β=0.104, p<.001) and memory (β=-0.054, p=.026) were found. White matter hyperintensities and CSF volume partly mediated the association between LIBRA and cognition.Discussion:Higher health- and lifestyle-based dementia risk is associated with markers of general brain atrophy, cerebrovascular pathology and worse cognition, suggesting that LIBRA meaningfully summarizes individual lifestyle-related brain health. Improving LIBRA factors on an individual level might improve population brain health. Sex differences in lifestyle-related pathology and cognition need to be further explored.Classification of Evidence:This study provides Class II evidence that higher LIBRA scores are significantly associated with lower scores on some cognitive domains and a higher risk of cognitive impairment.

Download Full-text

Extensive White Matter Hyperintensities May Increase Brain Volume in Cerebral Autosomal-Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy

Stroke ◽

10.1161/strokeaha.112.664854 ◽

2012 ◽

Vol 43 (12) ◽

pp. 3252-3257 ◽

Cited By ~ 22

Author(s):

Ming Yao ◽

Eric Jouvent ◽

Marco During ◽

Ophélia Godin ◽

Dominique Hervé ◽

...

Keyword(s):

White Matter ◽

White Matter Hyperintensities ◽

Autosomal Dominant ◽

Brain Volume

Download Full-text

Relation of a Socioeconomic Index with Cognitive Function and Neuroimaging in Hypertensive Individuals

Journal of Alzheimer s Disease ◽

10.3233/jad-210143 ◽

2021 ◽

pp. 1-12

Author(s):

Regina Silva Paradela ◽

Naomi Vidal Ferreira ◽

Mariana Penteado Nucci ◽

Brenno Cabella ◽

Luiza Menoni Martino ◽

...

Keyword(s):

Cognitive Function ◽

White Matter ◽

Cognitive Performance ◽

White Matter Hyperintensities ◽

Social Inequalities ◽

Parietal Lobe ◽

Brain Volume ◽

Linear Regression Models ◽

Socioeconomic Index ◽

The Relationship

Background: Socioeconomic factors are important contributors to brain health. However, data from developing countries (where social inequalities are the most prominent) are still scarce, particularly about hypertensive individuals. Objective: To evaluate the relationship between socioeconomic index, cognitive function, and cortical brain volume, as well as determine whether white matter hyperintensities are mediators of the association of the socioeconomic index with cognitive function in hypertensive individuals. Methods: We assessed 92 hypertensive participants (mean age = 58±8.6 years, 65.2%female). Cognitive evaluation and neuroimaging were performed and clinical and sociodemographic data were collected using questionnaires. A socioeconomic index was created using education, income, occupation (manual or non-manual work), and race. The associations of the socioeconomic index with cognitive performance and brain volume were investigated using linear regression models adjusted for age, sex, time of hypertension since diagnosis, and comorbidities. A causal mediation analysis was also conducted. Results: Better socioeconomic status was associated with better visuospatial ability, executive function, and global cognition. We found associations between a better socioeconomic index and a higher parietal lobe volume. White matter hyperintensities were also not mediators in the relationship between the socioeconomic index and cognitive performance. Conclusion: Socioeconomic disadvantages are associated with worse cognitive performance and brain volume in individuals with hypertension.

Download Full-text