News • Key findings in perivascular spaces

Ultra-high-res MRI reveals how migraine changes the brain

For the first time, a new study has identified enlarged perivascular spaces in the brains of migraine sufferers. Results of the study will be presented at the annual meeting of the Radiological Society of North America (RSNA).

Photo
A 3D map of centrum semiovale (CSO) and basal ganglia (BG) perivascular spaces (PVS) generated from physician-reviewed automated segmentation of PVS using ITK-SNAP software.

Image source: RSNA

"In people with chronic migraine and episodic migraine without aura, there are significant changes in the perivascular spaces of a brain region called the centrum semiovale," said study co-author Wilson Xu, an M.D. candidate at Keck School of Medicine of the University of Southern California in Los Angeles. "These changes have never been reported before." 

Migraine is a common, often debilitating condition, involving a severe recurring headache. Migraines may also cause nausea, weakness and light sensitivity. According to the American Migraine Foundation, over 37 million people in the U.S. are affected by migraine, and up to 148 million people worldwide suffer from chronic migraine. Perivascular spaces are fluid-filled spaces surrounding blood vessels in the brain. They are most commonly located in the basal ganglia and white matter of the cerebrum, and along the optic tract. Perivascular spaces are affected by several factors, including abnormalities at the blood-brain barrier and inflammation. Enlarged perivascular spaces can be a signal of underlying small vessel disease. "Perivascular spaces are part of a fluid clearance system in the brain," Xu said. "Studying how they contribute to migraine could help us better understand the complexities of how migraines occur." 

Xu and colleagues set out to determine the association between migraine and enlarged perivascular spaces. The researchers used ultra-high-field 7T MRI to compare structural microvascular changes in different types of migraine. "To our knowledge, this is first study using ultra-high-resolution MRI to study microvascular changes in the brain due to migraine, particularly in perivascular spaces," Xu said. "Because 7T MRI is able to create images of the brain with much higher resolution and better quality than other MRI types, it can be used to demonstrate much smaller changes that happen in brain tissue after a migraine."

(A) Enlarged centrum semiovale (CSO) perivascular spaces (PVS) (arrows) on...
(A) Enlarged centrum semiovale (CSO) perivascular spaces (PVS) (arrows) on sagittal T1-weighted MRI in a case with chronic migraine. (B) Migraine-free control without enlarged CSO PVS.

Image source: RSNA

Study participants included 10 with chronic migraine, 10 with episodic migraine without aura, and five age-matched healthy controls. All patients were between 25 and 60 years old. Patients with overt cognitive impairment, brain tumor, prior intracranial surgery, MRI contraindications and claustrophobia were excluded from the study. The researchers calculated enlarged perivascular spaces in the centrum semiovale (central area of white matter) and basal ganglia areas of the brain. White matter hyperintensities—lesions that "light up" on MRI—were measured using the Fazekas scale. Cerebral microbleeds were rated with the microbleed anatomical rating scale. The researchers also collected clinical data such as disease duration and severity, symptoms at time of scan, presence of aura and side of headache. 

Recommended article

Statistical analysis revealed that the number of enlarged perivascular spaces in the centrum semiovale was significantly higher in patients with migraine compared to healthy controls. In addition, enlarged perivascular space quantity in the centrum semiovale correlated with deep white matter hyperintensity severity in migraine patients. "We studied chronic migraine and episodic migraine without aura and found that, for both types of migraine, perivascular spaces were bigger in the centrum semiovale," Xu said. "Although we didn't find any significant changes in the severity of white matter lesions in patients with and without migraine, these white matter lesions were significantly linked to the presence of enlarged perivascular spaces. This suggests that changes in perivascular spaces could lead to future development of more white matter lesions."

portrait of Wilson Xu
Wilson Xu

Image source: RSNA

The researchers hypothesize that significant differences in the perivascular spaces in patients with migraine compared to the healthy controls might be suggestive of glymphatic disruption within the brain. The glymphatic system is a waste clearance system that utilizes perivascular channels to help eliminate soluble proteins and metabolites from the central nervous system. However, whether such changes affect migraine development or result from migraine is unknown. 

Continued study with larger case populations and longitudinal follow-up will better establish the relationship between structural changes and migraine development and type. "The results of our study could help inspire future, larger-scale studies to continue investigating how changes in the brain's microscopic vessels and blood supply contribute to different migraine types," Xu said. "Eventually, this could help us develop new, personalized ways to diagnose and treat migraine." 


Source: Radiological Society of North America

25.11.2022

Related articles

Photo

News • Functional connectivity imaging

fMRI brain scan predicts effectiveness of spinal cord surgery

Spinal cord stimulation is performed for patients with chronic pain. However, for some patients, the procedure is not effective. A new method involving fMRI could help predict success.

Photo

News • Field-cycling imaging

FCI: New MRI-derived scanner shows promise for stroke imaging

Using a technique called field-cycling imaging (FCI) derived from MRI, researchers are able to detect signs of brain damage from stroke at ultra-low magnetic fields.

Photo

News • Expanding brain imaging

Portable, low-field MRI shows promise for Alzheimer's diagnostics

A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.

Related products

Subscribe to Newsletter