White matter changes across the migraine cycle evaluated with Diffusion Tensor Imaging and the impact of Free Water

Motivation: About 25% of female migraine patients suffer from menstrual-related migraine, which has been poorly studied. Goal(s): To identify white matter alterations across the migraine cycle in patients with episodic menstrual-related migraine without aura. Approach: Diffusion MRI allows to assess alterations in the brain tissue microenvironment. Moreover, including the free-water contribution in the diffusion signal can give information about biological mechanisms, such as inflammation, and more directly expose the tissue alterations by removing free water contamination. Results: Significant differences were found in the diffusion parameters of the white matter tracts of the menstrual-related migraine patients. Impact: We found significant alterations in the diffusion parameters of the white matter tracts of episodic menstrual-related migraine patients across migraine cycle using standard diffusion tensor imaging (DTI) and Free-Water corrected DTI.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0123
Primary Topic
Migraine and Headache Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

White matter changes across the migraine cycle evaluated with Diffusion Tensor Imaging and the impact of Free Water

Gina Caetano, Irene Guadilla, Amparo Ruiz‐Tagle, Antonio Tristán‐Vega et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Migraine and Headache Studies
article

White matter changes across the migraine cycle evaluated with Diffusion Tensor Imaging and the impact of Free Water

Gina Caetano, Irene Guadilla, Amparo Ruiz‐Tagle, Antonio Tristán‐Vega, Rita Nunes, Santiago Aja‐Fernández, Raquel Gil‐Gouveia, Patrícia Figueiredo, Álvaro Planchuelo‐Gómez, Inês Esteves, Ana R. Fouto, Pedro Vilela, Nuno André Silva
article en

Abstract

Motivation: About 25% of female migraine patients suffer from menstrual-related migraine, which has been poorly studied. Goal(s): To identify white matter alterations across the migraine cycle in patients with episodic menstrual-related migraine without aura. Approach: Diffusion MRI allows to assess alterations in the brain tissue microenvironment. Moreover, including the free-water contribution in the diffusion signal can give information about biological mechanisms, such as inflammation, and more directly expose the tissue alterations by removing free water contamination. Results: Significant differences were found in the diffusion parameters of the white matter tracts of the menstrual-related migraine patients. Impact: We found significant alterations in the diffusion parameters of the white matter tracts of episodic menstrual-related migraine patients across migraine cycle using standard diffusion tensor imaging (DTI) and Free-Water corrected DTI.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Clean water and sanitation
Openalex Percentile: Top 71%
Migraine and Headache Studies
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.