We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

Abnormal White Matter Connectivity May Point to Long-Term Effects in Athletes

By MedImaging International staff writers
Posted on 24 Jul 2017
Abnormal changes in white matter connections found in the brains of people suffering from concussion could provide sports lawyers with evidence of brain trauma in concussion lawsuits.

The abnormal connections may indicate that the brain is compensating for damage caused by the concussion as well as degeneration of brain tissue. This diagnostic signature, with the help of Artificial Intelligence (AI) could be used to detect long term detect brain trauma.

Image: Researchers found that white matter connections between several brain regions of concussed individuals showed abnormal connectivity that might reflect both degeneration and the brain\'s method of compensating for damage (Photo courtesy of Dr. Sebastien Tremblay).
Image: Researchers found that white matter connections between several brain regions of concussed individuals showed abnormal connectivity that might reflect both degeneration and the brain\'s method of compensating for damage (Photo courtesy of Dr. Sebastien Tremblay).

The new tool was developed by researchers at the Université de Montreal, the Montreal Neurological Institute and Hospital (The Neuro), and the Ludmer Center for NeuroInformatics, all located in Montreal, QC, Canada. The study was published in the May 16, 2017, issue of the European Journal of Neuroscience.

The researchers recruited former university ice hockey and American football players aged 51 to 75 for the study. The researchers selected a cohort of 15 athletes who had suffered from concussion during their sports careers, and 15 athletes without concussion. The researchers performed Magnetic Resonance Spectroscopy (MRS) and Diffusion Weighted Imaging (DWI) scans, and other tests, pooled the data, and used AI software to distinguish a healthy athlete’s brain with those with concussion. The researchers found abnormal connectivity in several brain regions of concussed athletes and were able to accurately detect concussion in 90% of the cases.

First author of the paper, Dr. Sebastien Tremblay, postdoctoral researcher at The Neuro, said, "With 1.6 to 3.8 million concussions per year in the US alone, the prevalence of this injury is alarming. It is unacceptable that no objective tools or techniques yet exist to diagnose them, not to mention the sheer lack of scientifically valid treatment options. With our work, we hope to provide help to the vast population of former athletes who experience neurological issues after retiring from contact sport."

Related Links:
Université de Montreal
Montreal Neurological Institute and Hospital
Ludmer Center for NeuroInformatics


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Oncology Information System
RayCare
Portable X-Ray Unit
AJEX240H
New
X-Ray Detector
FDR-D-EVO III

Latest MRI News

Combining MRI with PSA Testing Improves Clinical Outcomes for Prostate Cancer Patients

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery