Sensitivity of diffusion tensor imaging to regional mixed cerebrovascular pathology

Diffusion tensor imaging is a candidate biomarker in cerebrovascular disease. Yet, little is known about the sensitivity of diffusion tensor imaging to mixed forms of cerebrovascular pathology: stroke and white matter hyperintensities. We evaluated the sensitivity of diffusion tensor imaging to regional lesion load, considering both stroke and white matter hyperintensity lesions. 65 older adults and 39 individuals with chronic stroke underwent diffusion tensor imaging and comprehensive cerebrovascular lesion segmentation. We tested relationships between fractional anisotropy or mean diffusivity and cerebrovascular lesions with linear mixed effects regression. In older adults, tract microstructure related to white matter hyperintensity lesion load (fractional anisotropy: <i>b</i> = -0.003, <i>P</i> = 0.003; mean diffusivity: <i>b</i> = 0.071 × 10<sup>-4</sup>, <i>P</i> < 0.001). In individuals with chronic stroke, tract microstructure related to stroke lesion load (fractional anisotropy: <i>b</i> = -0.041, <i>P</i> < 0.001; mean diffusivity: <i>b</i> = 1.460 × 10<sup>-4</sup>, <i>P</i> < 0.001), with a significant interaction between stroke and white matter hyperintensity lesion load (fractional anisotropy: <i>b</i> = 0.019, <i>P</i> < 0.001; mean diffusivity: <i>b</i> = -0.727 × 10<sup>-4</sup>, <i>P</i> < 0.001). Among both groups, whole-brain normal appearing white matter microstructure did not relate to whole-brain lesion volumes. Our findings provide foundational evidence for the use and interpretation of diffusion tensor imaging as a biomarker in cerebrovascular disease.

Authors

Institutions

Publication Details

Journal
Brain Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/braincomms/fcaf193
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensitivity of diffusion tensor imaging to regional mixed cerebrovascular pathology

Julia Dahlby, Sandra E. Black, Brian Greeley, Jennifer K. Ferris et al.
1 citations
Brain Communications
Advanced Neuroimaging Techniques and Applications
1.36
article

Sensitivity of diffusion tensor imaging to regional mixed cerebrovascular pathology

Julia Dahlby, Sandra E. Black, Brian Greeley, Jennifer K. Ferris, Shie Rinat, Joel Ramirez, Lara A. Boyd
article en
1 citations

Abstract

Diffusion tensor imaging is a candidate biomarker in cerebrovascular disease. Yet, little is known about the sensitivity of diffusion tensor imaging to mixed forms of cerebrovascular pathology: stroke and white matter hyperintensities. We evaluated the sensitivity of diffusion tensor imaging to regional lesion load, considering both stroke and white matter hyperintensity lesions. 65 older adults and 39 individuals with chronic stroke underwent diffusion tensor imaging and comprehensive cerebrovascular lesion segmentation. We tested relationships between fractional anisotropy or mean diffusivity and cerebrovascular lesions with linear mixed effects regression. In older adults, tract microstructure related to white matter hyperintensity lesion load (fractional anisotropy: <i>b</i> = -0.003, <i>P</i> = 0.003; mean diffusivity: <i>b</i> = 0.071 × 10<sup>-4</sup>, <i>P</i> < 0.001). In individuals with chronic stroke, tract microstructure related to stroke lesion load (fractional anisotropy: <i>b</i> = -0.041, <i>P</i> < 0.001; mean diffusivity: <i>b</i> = 1.460 × 10<sup>-4</sup>, <i>P</i> < 0.001), with a significant interaction between stroke and white matter hyperintensity lesion load (fractional anisotropy: <i>b</i> = 0.019, <i>P</i> < 0.001; mean diffusivity: <i>b</i> = -0.727 × 10<sup>-4</sup>, <i>P</i> < 0.001). Among both groups, whole-brain normal appearing white matter microstructure did not relate to whole-brain lesion volumes. Our findings provide foundational evidence for the use and interpretation of diffusion tensor imaging as a biomarker in cerebrovascular disease.

Brain CommunicationsVol. 7(3)
Sunnybrook Health Science Centre (CA), University of British Columbia (CA), Simon Fraser University (CA), University of Toronto (CA), Scarborough Health Network (CA), Health Sciences Centre (CA)
Heart and Stroke Foundation of Canada, Health Research, Heart and Stroke Foundation of Canada
Openalex Percentile: Top 20%
Advanced Neuroimaging Techniques and Applications
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.