fMR Brain Imaging Sheds Light into Chronic Fatigue Syndrome
By MedImaging International staff writers Posted on 12 Jun 2014 |

Image: Basal ganglia activation in the gambling task. Left to right: Axial, coronal, and transverse sections of the brain. The top row displays the activation for the Win-Lose contrast, for the pooled sample of chronic fatigue syndrome (CFS)+control subjects, as a statistical parametric map thresholded at a p < 0.05 corrected threshold and masked with the atlas-based anatomic regions of interest portrayed in the bottom row (putamen: purple; caudate: orange; globus pallidus: turquoise) (Photo courtesy of Plos one).
A neuroimaging study has demonstrated that patients with chronic fatigue syndrome may have reduced responses, compared with healthy control study participants, in a region of the brain connected with fatigue. These findings suggest that chronic fatigue syndrome is associated with alterations in the brain involving brain circuits that control motor activity and motivation.
Compared with healthy controls, patients with chronic fatigue syndrome had less activation of the basal ganglia, as measured by functional magnetic resonance imaging (fMRI). This decrease of basal ganglia activity was also associated with the severity of fatigue symptoms.
According to the US Centers for Disease Control and Prevention (CDC; Atlanta, GA, USA), chronic fatigue syndrome is a debilitating and complex disorder characterized by intense fatigue that is not improved by bed rest and that may be exacerbated by mental stress or exercise.
The findings were published May 23, 2014, in the journal PLOS One. “We chose the basal ganglia because they are primary targets of inflammation in the brain,” said lead author Andrew Miller, MD, a professor of psychiatry and behavioral sciences at Emory University School of Medicine (Atlanta, GA, USA). “Results from a number of previous studies suggest that increased inflammation may be a contributing factor to fatigue in CFS patients, and may even be the cause in some patients.”
The study was a collaboration among researchers at Emory University School of Medicine, the CDC’s Chronic Viral Diseases Branch, and the University of Modena and Reggio Emilia (Modena, Italy). The basal ganglia are structures deep within the brain, thought to be responsible for control of movements and responses to rewards as well as cognitive functions. Several neurologic disorders involve dysfunction of the basal ganglia, including, for example, Huntington’s and Parkinson’s disease.
In earlier published research by Emory researchers, people taking interferon alpha as a treatment for hepatitis C, which can trigger severe fatigue, also demonstrated reduced activity in the basal ganglia. Interferon alpha is a protein naturally produced by the body, as part of the inflammatory response to viral infection. Inflammation has also been linked to fatigue in other groups such as breast cancer survivors.
“A number of previous studies have suggested that responses to viruses may underlie some cases of CFS,” Dr. Miller said. “Our data support the idea that the body’s immune response to viruses could be associated with fatigue by affecting the brain through inflammation. We are continuing to study how inflammation affects the basal ganglia and what effects that has on other brain regions and brain function. These future studies could help inform new treatments.”
Treatment implications might include the potential utility of medications to alter the body’s immune response by suppressing inflammation, or providing agents that enhance basal ganglia function, according to Dr. Miller. The researchers compared 18 patients diagnosed with chronic fatigue syndrome with 41 healthy volunteers. The 18 patients were recruited based on an initial telephone survey followed by extensive clinical evaluations. The clinical evaluations, which came in two phases, were completed by hundreds of Georgia (USA) residents.
Individuals who have major depression or who were taking antidepressants were excluded from the imaging study, although those with anxiety disorders were not. For the brain imaging portion of the study, participants were told they would win one dollar if they accurately guessed whether a preselected card was red or black. After they made a guess, the color of the card was revealed, and at that point researchers measured blood flow to the basal ganglia.
The key measurement the researchers examined was just how big was the disparity in activity between a win or a loss. Participants’ scores on a survey gauging their degrees of fatigue were tied to the difference in basal ganglia activity between winning and losing. Those with the most fatigue had the smallest changes, particularly in the right caudate and the right globus pallidus, both parts of the basal ganglia.
Related Links:
Emory University School of Medicine
US Centers for Disease Control and Prevention
University of Modena and Reggio Emilia
Compared with healthy controls, patients with chronic fatigue syndrome had less activation of the basal ganglia, as measured by functional magnetic resonance imaging (fMRI). This decrease of basal ganglia activity was also associated with the severity of fatigue symptoms.
According to the US Centers for Disease Control and Prevention (CDC; Atlanta, GA, USA), chronic fatigue syndrome is a debilitating and complex disorder characterized by intense fatigue that is not improved by bed rest and that may be exacerbated by mental stress or exercise.
The findings were published May 23, 2014, in the journal PLOS One. “We chose the basal ganglia because they are primary targets of inflammation in the brain,” said lead author Andrew Miller, MD, a professor of psychiatry and behavioral sciences at Emory University School of Medicine (Atlanta, GA, USA). “Results from a number of previous studies suggest that increased inflammation may be a contributing factor to fatigue in CFS patients, and may even be the cause in some patients.”
The study was a collaboration among researchers at Emory University School of Medicine, the CDC’s Chronic Viral Diseases Branch, and the University of Modena and Reggio Emilia (Modena, Italy). The basal ganglia are structures deep within the brain, thought to be responsible for control of movements and responses to rewards as well as cognitive functions. Several neurologic disorders involve dysfunction of the basal ganglia, including, for example, Huntington’s and Parkinson’s disease.
In earlier published research by Emory researchers, people taking interferon alpha as a treatment for hepatitis C, which can trigger severe fatigue, also demonstrated reduced activity in the basal ganglia. Interferon alpha is a protein naturally produced by the body, as part of the inflammatory response to viral infection. Inflammation has also been linked to fatigue in other groups such as breast cancer survivors.
“A number of previous studies have suggested that responses to viruses may underlie some cases of CFS,” Dr. Miller said. “Our data support the idea that the body’s immune response to viruses could be associated with fatigue by affecting the brain through inflammation. We are continuing to study how inflammation affects the basal ganglia and what effects that has on other brain regions and brain function. These future studies could help inform new treatments.”
Treatment implications might include the potential utility of medications to alter the body’s immune response by suppressing inflammation, or providing agents that enhance basal ganglia function, according to Dr. Miller. The researchers compared 18 patients diagnosed with chronic fatigue syndrome with 41 healthy volunteers. The 18 patients were recruited based on an initial telephone survey followed by extensive clinical evaluations. The clinical evaluations, which came in two phases, were completed by hundreds of Georgia (USA) residents.
Individuals who have major depression or who were taking antidepressants were excluded from the imaging study, although those with anxiety disorders were not. For the brain imaging portion of the study, participants were told they would win one dollar if they accurately guessed whether a preselected card was red or black. After they made a guess, the color of the card was revealed, and at that point researchers measured blood flow to the basal ganglia.
The key measurement the researchers examined was just how big was the disparity in activity between a win or a loss. Participants’ scores on a survey gauging their degrees of fatigue were tied to the difference in basal ganglia activity between winning and losing. Those with the most fatigue had the smallest changes, particularly in the right caudate and the right globus pallidus, both parts of the basal ganglia.
Related Links:
Emory University School of Medicine
US Centers for Disease Control and Prevention
University of Modena and Reggio Emilia
Latest MRI News
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
Channels
Radiography
view channel
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... Read more
CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
Medical imaging, such as computed tomography (CT) scans, plays a crucial role in oncology, offering essential data for cancer detection, treatment planning, and monitoring of response to therapies.... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more