Relationship of Hearing Impairment With MRI Brain Volumes, White Matter Integrity and Amyloid Deposition in a Population-Based Observational Cohort

2021 ◽  
Vol 89 (9) ◽  
pp. S74
Author(s):  
Jennifer Deal ◽  
A. Richey Sharrett ◽  
Nicholas Reed ◽  
Rebecca Gottesman ◽  
Frank Lin
Keyword(s):  
White Matter ◽  
Hearing Impairment ◽  
Population Based ◽  
Amyloid Deposition ◽  
White Matter Integrity ◽  
Brain Volumes ◽  
Mri Brain ◽  
Observational Cohort ◽  
Relationship Of

scholarly journals Relationship of hearing impairment with MRI brain volumes and cognitive decline in the Atherosclerosis Risk in Communities study

2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Jennifer A Deal ◽  
Melinda C Power ◽  
Joshua Betz ◽  
Nicholas S Reed ◽  
Marilyn S Albert ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Hearing Impairment ◽  
Brain Volumes ◽  
Atherosclerosis Risk In Communities ◽  
Mri Brain ◽  
Atherosclerosis Risk ◽  
Relationship Of

scholarly journals Longitudinal deterioration of white-matter integrity: heterogeneity in the ageing population

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Konstantinos Poulakis ◽  
Robert I Reid ◽  
Scott A Przybelski ◽  
David S Knopman ◽  
Jonathan Graff-Radford ◽  
...  
Keyword(s):  
White Matter ◽  
Internal Capsule ◽  
Population Based ◽  
White Matter Integrity ◽  
Ageing Population ◽  
White Matter Tract ◽  
Imaging Data ◽  
Cognitive Assessments ◽  
Longitudinal Imaging ◽  
Systemic Health

Abstract Deterioration in white-matter health plays a role in cognitive ageing. Our goal was to discern heterogeneity of white-matter tract vulnerability in ageing using longitudinal imaging data (two to five imaging and cognitive assessments per participant) from a population-based sample of 553 elderly participants (age ≥60 years). We found that different clusters (healthy white matter, fast white-matter decliners and intermediate white-matter group) were heterogeneous in the spatial distribution of white-matter integrity, systemic health and cognitive trajectories. White-matter health of specific tracts (genu of corpus callosum, posterior corona radiata and anterior internal capsule) informed about cluster assignments. Not surprisingly, brain amyloidosis was not significantly different between clusters. Clusters had differential white-matter tract vulnerability to ageing (commissural fibres > association/brainstem fibres). Identification of vulnerable white-matter tracts is a valuable approach to assessing risk for cognitive decline.

scholarly journals Serum 25‐hydroxyvitamin D, folate and cobalamin and their association with brain volumes and white matter integrity in a sample of urban adults

2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
May A Beydoun ◽  
Danielle Shaked ◽  
Sharmin A Hossain ◽  
Hind A Beydoun ◽  
Leslie Katzel ◽  
...  
Keyword(s):  
White Matter ◽  
White Matter Integrity ◽  
Brain Volumes ◽  
Hydroxyvitamin D ◽  
Urban Adults ◽  
25 Hydroxyvitamin D

scholarly journals Genetic Risk Factors for Longitudinal Changes in Structural MRI in Former Organolead Workers

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Bryan D. James ◽  
Brian Caffo ◽  
Walter F. Stewart ◽  
David Yousem ◽  
Christos Davatzikos ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Brain Volume ◽  
Density Lipoprotein ◽  
White Matter Lesions ◽  
Structural Mri ◽  
Population Based ◽  
Effect Modification ◽  
Longitudinal Change ◽  
Brain Volumes

This study examined associations between polymorphisms in three genes, apolipoprotein E (APOE), angiotensin converting enzyme (ACE), and vitamin D receptor (VDR), and longitudinal change in brain volumes and white matter lesions (WML) as well as effect modification by cardiovascular factors and tibia lead concentrations. Two MRIs, an average of 5 years apart, were obtained for 317 former organolead workers and 45 population-based controls. Both regions-of-interest and voxel-wise analyses were conducted.APOEε3/ε4andε4/ε4genotypes were associated with less decline in white matter volumes. There was some evidence of interaction between genetic polymorphisms and cardiovascular risk factors (ACEand high-density lipoprotein;VDRand diabetes) on brain volume decline. TheVDR FokIff genotype was associated with an increase in WML (no association forAPOEorACE). This study expands our understanding of how genetic precursors of dementia and cardiovascular diseases are related to changes in brain structure.

P1-012: Load-dependent association of cerebral ß-amyloid deposition and white matter integrity in cognitively healthy older adults

2015 ◽  
Vol 11 (7S_Part_7) ◽  
pp. P341-P341
Author(s):  
Florian U. Fischer ◽  
Andreas Fellgiebel ◽  
Armin Scheurich ◽  
Dominik Wolf
Keyword(s):  
Older Adults ◽  
White Matter ◽  
Amyloid Deposition ◽  
White Matter Integrity ◽  
Healthy Older Adults

scholarly journals MRI CLINICAL RATINGS AND COGNITIVE FUNCTION IN A CROSS-SECTIONAL POPULATION STUDY OF DEMENTIA: THE CACHE COUNTY MEMORY STUDY

2019 ◽  
pp. 1-8
Author(s):  
Y.H.W. Tsui-Caldwell ◽  
T.J. Farrer ◽  
Z. McDonnell ◽  
Z. Christensen ◽  
C. Finuf ◽  
...  
Keyword(s):  
White Matter ◽  
Rating Scale ◽  
Population Sample ◽  
Population Based ◽  
White Matter Integrity ◽  
Healthy Controls ◽  
Cross Sectional ◽  
Increased Risk ◽  
Scale Scores ◽  
Cache County

BACKGROUND: White matter integrity in aging populations is associated with increased risk of cognitive decline, dementia diagnosis, and mortality. Population-based data can elucidate this association. Objectives: To examine the association between white matter integrity, as measured by a clinical rating scale of hyperintensities, and mental status in older adults including advanced aging. Design: Scheltens Ratings Scale was used to qualitatively assess white matter (WM) hyperintensities in participants of the Cache County Memory Study (CCMS), an epidemiological study of Alzheimer’s disease in an exceptionally long-lived population. Further, the relation between Mini-Mental State Exam (MMSE) and WM hyperintensities were explored. Method: Participants consisted of 415 individuals with dementia and 22 healthy controls. Results: CCMS participants, including healthy controls, had high levels of WM pathology as measured by Scheltens Ratings Scale score. While age did not significantly relate to WM pathology, higher Scheltens Ratings Scale scores were associated with lower MMSE findings (correlation between -0.14 & -0.22; p < .05). Conclusions: WM pathology was common in this county-wide population sample of those ranging in age from 65 to 106. Increased WM burden was found to be significantly associated with decreased overall MMSE performance.

scholarly journals Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia

2020 ◽  
Vol 77 (4) ◽  
pp. 1443-1453
Author(s):  
Theresa Müller ◽  
Nicola M. Payton ◽  
Grégoria Kalpouzos ◽  
Frank Jessen ◽  
Giulia Grande ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Diffusion Tensor ◽  
Neuropsychological Testing ◽  
Hippocampal Volume ◽  
Population Based ◽  
White Matter Integrity ◽  
National Study ◽  
Special Focus ◽  
Perceptual Speed

Background: Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. Objective: We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter integrity, in detecting individuals with increased dementia risk. Methods: A dementia-free subsample (n = 212, mean age = 71.33 years) included in the population-based Swedish National Study on Aging and Care (SNAC-K) underwent magnetic resonance imaging (T1-weighted, fluid-attenuated inversion recovery, diffusion tensor imaging), neuropsychological testing (perceptual speed, episodic memory, semantic memory, letter and category fluency), and genotyping (APOE). Incident dementia was assessed during six years of follow-up. Results: A global model (global cognition, APOE, total brain tissue volume: AUC = 0.920) rendered the highest predictive value for future dementia. Of the models based on specific markers, white matter integrity of the forceps major tract was included in the most predictive model, in combination with perceptual speed and hippocampal volume (AUC = 0.911). Conclusion: Assessment of microstructural white matter integrity may improve the early detection of dementia, although the added benefit in this study was relatively small.

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