AI Article Synopsis
- Neuroimaging studies of Alzheimer's disease reveal changes in grey matter volumes in key brain networks, particularly in individuals with Mild Cognitive Impairment (MCI).
- The study assessed how varying levels of white matter hyperintensities (WMH) affect grey matter volume (GMV) and cognitive function in 183 subjects, splitting them into low, medium, and high WMH loads.
- Findings indicate that high WMH loads are linked to reduced GMV in both the Default Mode Network (DMN) and Executive Control Network (ECN), while low WMH loads can have a positive relationship with ECN GMV, highlighting complex interactions between WMH, GMV, and cognitive abilities.
Article Abstract
Neuroimaging measures of Alzheimer's disease (AD) include grey matter volume (GMV) alterations in the Default Mode Network (DMN) and Executive Control Network (ECN). Small-vessel cerebrovascular disease, often visualised as white matter hyperintensities (WMH) on MRI, is often seen in AD. However, the relationship between WMH load and GMV needs further examination. We examined the load-dependent influence of WMH on GMV and cognition in 183 subjects. T1-MRI data from 93 Mild Cognitive Impairment (MCI) and 90 cognitively normal subjects were studied and WMH load was categorized into low, medium and high terciles. We examined how differing loads of WMH related to whole-brain voxel-wise and regional DMN and ECN GMV. We further investigated how regional GMV moderated the relationship between WMH and cognition. We found differential load-dependent effects of WMH burden on voxel-wise and regional atrophy in only MCI. At high load, as expected WMH negatively related to both ECN and DMN GMV, however at low load, WMH positively related to ECN GMV. Additionally, negative associations between WMH and memory and executive function were moderated by regional GMV. Our results demonstrate non-unidirectional relationships between WMH load, GMV and cognition in MCI.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8109133 | PMC |
| http://dx.doi.org/10.18632/aging.202977 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Tract-Specific White Matter Hyperintensities Disrupt Brain Networks and Associated With Cognitive Impairment in Mild Traumatic Brain Injury.
Hum Brain Mapp
December 2024
The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Article Synopsis
- Traumatic brain injury (TBI) leads to cerebrovascular issues and various neurodegenerative conditions, with this study focusing on mild TBI (mTBI) and its effects on cognitive function through imaging and assessments.
- MRI data from 85 mTBI patients and 52 healthy controls showed that increased white matter hyperintensity (WMH) volumes, particularly in specific brain regions, correlate with disrupted brain dynamics and cognitive impairments.
- Results indicated that each 1 mL increase in WMH volume linked to significant delays in cognitive processing, highlighting the role of small vessel lesions in affecting brain function post-mTBI.
Associations of life-course cardiovascular risk factors with late-life cerebral haemodynamics.
J Cereb Blood Flow Metab
November 2024
Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, NL.
While the associations of mid-life cardiovascular risk factors with late-life white matter lesions (WMH) and cognitive decline have been established, the role of cerebral haemodynamics is unclear. We investigated the relation of late-life (69-71 years) arterial spin labelling (ASL) MRI-derived cerebral blood flow (CBF) with life-course cardiovascular risk factors (36-71 years) and late-life white matter hyperintensity (WMH) load in 282 cognitively healthy participants (52.8% female).
View Article and Find Full Text PDFArticle Synopsis
- There is a variation in white matter hyperintensity (WMH) levels among cognitively normal individuals, with some showing significant WMH and others not, even at the same chronological age.
- A study using MRI data from different age groups (50-80+) assessed brain structures to differentiate between cognitively normal (CN), cognitively impaired (CI), and those with Alzheimer's-related cognitive impairment (CI-AD), revealing significant gray matter and white matter loss in early age groups.
- The research determined that three key brain measurements—total brain volume, cerebrospinal fluid (CSF), and WMH volume—can effectively distinguish between cognitive status, while a new index called 'Brain Age' indicates neuroanatomic health, showing
Distributed associations among white matter hyperintensities and structural brain networks with fluid cognition in healthy aging.
Cogn Affect Behav Neurosci
December 2024
Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
White matter hyperintensities (WMHs) are associated with age-related cognitive impairment and increased risk of Alzheimer's disease. However, the manner by which WMHs contribute to cognitive impairment is unclear. Using a combination of predictive modeling and network neuroscience, we investigated the relationship between structural white matter connectivity and age, fluid cognition, and WMHs in 68 healthy adults (18-78 years).
View Article and Find Full Text PDFDevelopment and validation of a two-stage convolutional neural network algorithm for segmentation of MRI white matter hyperintensities for longitudinal studies in CADASIL.
Comput Biol Med
September 2024
Université Paris Cité, Inserm, NeuroDiderot, F-75019, Paris, France; Centre de référence CERVCO - Centre Neurovasculaire Translationnel, Hôpital Lariboisiere, APHP, Paris, France; FHU NeuroVasc, Paris, France.
Background: Segmentation of white matter hyperintensities (WMH) in CADASIL, one of the most severe cerebral small vessel disease of genetic origin, is challenging.
Method: We adapted and validated an automatic method based on a convolutional neural network (CNN) algorithm and using a large dataset of 2D and/or 3D FLAIR and T1-weighted images acquired in 132 patients, to measure the progression of WMH in this condition.
Results: The volume of WMH measured using this method correlated strongly with reference data validated by experts.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!