scholarly journals Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment

Stroke ◽  
2020 ◽  
Vol 51 (6) ◽  
pp. 1682-1689 ◽  
Author(s):  
Jun Shen ◽  
Daniel J. Tozer ◽  
Hugh S. Markus ◽  
Jonathan Tay
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Network Efficiency ◽  
Global Efficiency ◽  
Vascular Burden ◽  
The Relationship

Background and Purpose— Cerebrovascular disease contributes to age-related cognitive decline, but the mechanisms underlying this phenomenon remain incompletely understood. We hypothesized that vascular risk factors would lead to cognitive impairment through the disruption of brain white matter network efficiency. Methods— Participants were 19 346 neurologically healthy individuals from UK Biobank that underwent diffusion MRI and cognitive testing (mean age=62.6). Global efficiency, a measure of network integration, was calculated from white matter networks constructed using deterministic diffusion tractography. First, we determined whether demographics (age, sex, ethnicity, socioeconomic status, and education), vascular risk factors (hypertension, hypercholesterolemia, diabetes mellitus, smoking, body mass index), and white matter hyperintensities were related to global efficiency using multivariate linear regression. Next, we used structural equation modeling to model a multiple regression. The dependent variable was a latent cognition variable using all cognitive data, while independent variables were a latent factor including all vascular risk factors (vascular burden), demographic variables, white matter hyperintensities, and global efficiency. Finally, we used mediation analysis to determine whether global efficiency explained the relationship between vascular burden and cognition. Results— Hypertension and diabetes mellitus were consistently associated with reduced global efficiency even after controlling for white matter hyperintensities. Structural equation models revealed that vascular burden was associated with cognition ( P =0.023), but not after adding global efficiency to the model ( P =0.09), suggesting a mediation effect. Mediation analysis revealed a significant indirect effect of global efficiency on cognition through vascular burden ( P <0.001), suggesting a partial mediation effect. Conclusions— Vascular burden is associated with reduced global efficiency and cognitive impairment in the general population. Network efficiency partially mediates the relationship between vascular burden and cognition. This suggests that treating specific risk factors may prevent reductions in brain network efficiency and preserve cognitive functioning in the aging population.

Vascular risk factors and white matter hyperintensities in patients with amnestic mild cognitive impairment

2007 ◽  
Vol 115 (6) ◽  
pp. 419-424 ◽  
Author(s):  
M. Sepe-Monti ◽  
P. Pantano ◽  
N. Vanacore ◽  
A. De Carolis ◽  
V. Bianchi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Amnestic Mild Cognitive Impairment ◽  
Vascular Risk Factors ◽  
Vascular Risk

Vascular risk factors predisposing to white matter hyperintensities: Сross-sectional study

2013 ◽  
Vol 333 ◽  
pp. e254-e255
Author(s):  
A. Amintaeva ◽  
M. Kravchenko ◽  
O. Andreeva ◽  
Y. Varakin ◽  
G. Gornostaeva ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Sectional Study

The Impact of MRI White Matter Hyperintensities on Dementia in Parkinson's Disease in Relation to the Homocysteine Level and Other Vascular Risk Factors

2013 ◽  
Vol 12 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Jaroslaw Slawek ◽  
Anna Roszmann ◽  
Piotr Robowski ◽  
Miroslawa Dubaniewicz ◽  
Emilia J. Sitek ◽  
...  
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Homocysteine Level ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
The Impact

scholarly journals White matter hyperintensities and vascular risk factors in monozygotic twins

2018 ◽  
Vol 66 ◽  
pp. 40-48 ◽  
Author(s):  
Mara ten Kate ◽  
Carole H. Sudre ◽  
Anouk den Braber ◽  
Elles Konijnenberg ◽  
Michel G. Nivard ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Monozygotic Twins ◽  
Vascular Risk Factors ◽  
Vascular Risk

Vascular Risk Factors, White Matter Hyperintensities and Hippocampal Volume in Normal Elderly Individuals

2012 ◽  
Vol 33 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Thomas Gattringer ◽  
Christian Enzinger ◽  
Stefan Ropele ◽  
Faton Gorani ◽  
Katja Elisabeth Petrovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Hippocampal Volume ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Elderly Individuals

scholarly journals Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

2020 ◽  
Vol 25 ◽  
pp. 102120 ◽  
Author(s):  
Lucia Ballerini ◽  
Tom Booth ◽  
Maria del C. Valdés Hernández ◽  
Stewart Wiseman ◽  
Ruggiero Lovreglio ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Birth Cohort ◽  
White Matter Hyperintensities ◽  
Vascular Risk Factors ◽  
Perivascular Space ◽  
Vascular Risk ◽  
Lothian Birth Cohort

[IC-P-065]: WHITE MATTER HYPERINTENSITIES AND VASCULAR RISK FACTORS IN COGNITIVELY HEALTHY ELDERLY MONOZYGOTIC TWIN PAIRS

2017 ◽  
Vol 13 (7S_Part_1) ◽  
pp. P53-P54
Author(s):  
Mara ten Kate ◽  
Carole H. Sudre ◽  
Anouk den Braber ◽  
Elles Konijnenberg ◽  
M. Jorge Cardoso ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Monozygotic Twin ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Healthy Elderly

scholarly journals Defining Vascular Cognitive Impairment in India—A Descriptive Study of MRI Volumetry vs. Cognition in 'Normal' Adults

2021 ◽  
Author(s):  
Uma Sundar ◽  
Amita Mukhopadhyay ◽  
Sheelakumari Raghavan ◽  
Ramshekhar Menon ◽  
Chandrasekharan Kesavadas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
White Matter ◽  
Vascular Cognitive Impairment ◽  
Vascular Risk Factors ◽  
Grey Matter Volume ◽  
Intracranial Volume ◽  
Vascular Risk ◽  
Cognitive Score ◽  
Mri Volumetry

Background: It is important to establish criteria to define Vascular Cognitive Impairment (VCI) in India as VCI is an image-based diagnosis and MRI changes resulting from age with prevalent vascular risk factors may confound MRI interpretation. Objective: To establish normative community data for MRI volumetry including white matter hyperintensity volume (WMHV), correlated with age-stratified cognitive scores and vascular risk factors in adults ≥40 years old. Materials and Methods: We screened 2651 individuals without known neurological morbidity, living in Mumbai and nearby rural areas, using validated Marathi translations of Kolkata Cognitive Battery (KCB) and Geriatric depression score (GDS). We stratified 1961 persons with GDS ≤9 by age and cognitive score, and randomly selected ten percent from each subgroup for MRI brain volumetry. Crude volumes were standardized to reflect percentage of intracranial volume. Results: MRI volumetry studies were done in 199 individuals (F/M = 90/109; 73 with BMI ≥ 25; 44 hypertensives; 29 diabetics; mean cognitive score 76.5). Both grey and white matter volumes decreased with increasing age. WMHV increased with age and hypertension. Grey matter volume decreased with increasing WMHV. Positive predictors of cognition included standardized hippocampal volume (HCV), urban living, education, and BMI, while WMHV and age were negative predictors. Urban dwellers had higher cognitive scores than rural, and (paradoxically) smaller HCV. Conclusions: Further study is warranted into sociodemographic and biological factors that mutually influence cognition. Our findings contribute to baseline diagnostic criteria for VCI and could help in early diagnosis and control of cognitive decline and its key risk factors.

Sign in / Sign up

Export Citation Format

Share Document