MRIs Show Structural Abnormalities in Patients With Chronic Fatigue Syndrome

Researchers using a combination of different imaging techniques have found structural abnormalities in the brains of people with chronic fatigue syndrome (CFS), according to a new study published online in the journal Radiology. The results suggest a potential role for imaging in diagnosing and treating the condition.

CFS is characterized by profound fatigue and "brain fog" that do not improve with bed rest, lasting for at least six months. The condition affects more than 1 million adults and children in the United States, according to the Centers for Disease Control and Prevention. Diagnosis is complicated and usually involves ruling out many other conditions. There is no standalone test to diagnose CFS.

For the new study, Michael M. Zeineh, MD, PhD, an assistant professor of radiology at Stanford University School of Medicine in California, worked with a Stanford CFS and infectious disease expert, Jose G. Montoya, MD, to perform MRI on 15 CFS patients and 14 age- and gender-matched controls. They applied three different MRI techniques: volumetric analysis to measure the size of different compartments of the brain, diffusion tensor imaging (DTI) to assess the integrity of the signal-carrying white matter tracts of the brain, and arterial spin labeling to measure blood flow.

When they compared results between the CFS patients and the controls, they found that the CFS group had slightly lower white matter volume, meaning there was less overall white matter in the brain. The CFS group also had abnormally high fractional anisotropy (FA) values—a DTI measure of the diffusion of water—in a specific white matter tract called the right arcuate fasciculus, suggesting something was going on in the white matter in the right hemisphere.

"Within CFS patients, right anterior arcuate FA increased with disease severity," Zeineh says. "The differences correlated with their fatigue—the more abnormal the tract, the worse the fatigue."

The results suggest that FA at the right arcuate fasciculus may serve as a biomarker for CFS that can help track the disease.

The imaging study also found abnormalities among CFS patients at the two points in the brain that connect the right arcuate fasciculus. Each connection point, known as a cortex, was thicker in CFS patients.

"This is the first study to look at white matter tracts in CFS and correlate them with cortical findings," Zeineh says. "It's not something you could see with conventional imaging."

Although the study involved only 15 CFS patients, the technique already shows tremendous promise as a diagnostic tool for identifying people with CFS, according to Zeineh.

"We used automated techniques to look at these tracts and were able to achieve 80% accuracy for CFS detection," he says.
Zeineh adds that the findings need to be replicated and expanded upon in future studies to refine understanding of the relationship between brain structure and CFS.