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Vascular risk factor burden correlates with cerebrovascular reactivity but not resting state coactivation in the default mode network

Ekaterina Tchistiakova, David Crane, David J. Mikulis, Nicole D. Anderson, Carol E. Greenwood, Sandra E. Black, Bradley J MacIntosh

Journal of Magnetic Resonance Imaging April 17, 2015 DOI: 10.1002/jmri.24917 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Cross-sectional study Peer reviewed
Sample size 29
Population Older adults with suspected white matter hyperintensities
Topics Default mode network
Keywords Coactivation Cardiology Hyperintensity Resting State FMRI Magnetic resonance imaging Electromyography Radiology
Citations 20
Key findings Cerebrovascular reactivity in the default-mode network was inversely associated with the number of vascular risk factors and correlated with resting-state coactivation in individuals with white matter hyperintensities.

Abstract

Purpose: White matter hyperintensities (WMH) are prevalent among older adults and are often associated with cognitive decline and increased risk of stroke and dementia. Vascular risk factors (VRFs) are linked to WMH, yet the impact of multiple VRFs on gray matter function is still unclear. The goal of this study was to test for associations between the number of VRFs and cerebrovascular reactivity (CVR) and resting state (RS) coactivation among individuals with WMH.

Materials and Methods: Twenty-nine participants with suspected WMH were grouped based on the number of VRFs (subgroups: 0, 1, or ≥2). CVR and RS coactivation were measured with blood oxygenation level-dependent (BOLD) imaging on a 3T magnetic resonance imaging (MRI) system during hypercapnia and rest, respectively. Default-mode (DMN), sensory-motor, and medial-visual networks, generated using independent component analysis of RS-BOLD, were selected as networks of interest (NOIs). CVR-BOLD was analyzed using two

Methods: 1) a model-based approach using CO2 traces, and 2) a dual-regression (DR) approach using NOIs as spatial inputs. Average CVR and RS coactivations within NOIs were compared between VRF subgroups. A secondary analysis investigated the correlation between CVR and RS coactivation.

Results: VRF subgroup differences were detected using DR-based CVR in the DMN (F20,2 = 5.17, P = 0.015) but not the model-based CVR nor RS coactivation. DR-based CVR was correlated with RS coactivation in the DMN (r(2) = 0.28, P = 0.006) but not the sensory-motor nor medial-visual NOIs.

Conclusion: In individuals with WMH, CVR in the DMN was inversely associated with the number of VRFs and correlated with RS coactivation.

Comparable studies

Other cross-sectional and survey studies on default mode network, most cited first.

Study Year Design Participants
Impact of meditation training on the default mode network during a restful state 13 experienced meditators (over 1000 h of training) and 11 beginner meditators (no... 2012 Cross-sectional study n = 24
BOLD signal and functional connectivity associated with loving kindness meditation Experienced meditators and novices 2014 Cross-sectional functional magnetic resonance imaging study
Greater Anteroposterior Default Mode Network Functional Connectivity in Long-Term Elderly Yoga Practitioners Elderly women (Hatha Yoga practitioners and yoga-naïve controls) 2019 Cross-sectional investigation n = 40
Associations between regular cannabis use and brain resting-state functional connectivity in adolescents and adults Adolescents and adults 2023 Cross-sectional study n = 70
The Association Between Loss of Consciousness and the Default Mode Network at the Chronic Stage of Diffuse Axonal Injury: A Diffusion Tensor Imaging Study Patients with diffuse axonal injury (DAI) at the chronic stage 2026 Observational cross-sectional study n = 21

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