Alternative Brain Scanning Technology Could Diagnose Traumatic Brain Injury

TBI affects more than 500,000 Americans alone each year, and over 70% of these injuries are considered "mild," usually due to a concussion. Fifteen to 30% of these patients will suffer long-term impairments of memory and attention. The findings are published online and in the December 2008 issue of the journal Brain.

Following a head injury, patients who experience a concussion often show no signs of damage in a conventional computed tomography (CT) or magnetic resonance imaging (MRI) scan, pass a basic neurological exam, and are then sent home with no additional treatment or follow-up. However, many such patients continue to report symptoms weeks and even months later, such as loss of concentration or memory loss--termed post-concussive syndrome.

The researchers studied diffusion tensor imaging (DTI), an advanced type of MRI scan that allows experts to view the microscopic motion of water molecules within the brain's white matter, the tissue that connects and allows communication between different brain centers. The group found that injury was visible in the subjects' memory and attention networks of the brain, but not visible via conventional MRI scans. The team, including researchers from Weill Cornell Medical College (New York, NY, USA) and University of California at San Francisco (UCSF; USA), identified two particular white-matter tracts, one strongly associated with attention and the other memory, in the brains of normal adults and adults with mild TBI.

Dr. Bruce McCandliss, corresponding author and associate professor of psychology in psychiatry at Weill Cornell Medical College, and co-first authors Dr. Sumit Niogi of Weill Cornell and Dr. Pratik Mukherjee from UCSF believe that these findings might be the first step toward clinical trials that will determine whether DTI may one day be used for early and accurate diagnosis in patients following TBI.

Since DTI is conducted with an MRI scanner, no additional equipment or cost is needed to collect such data. However, the researchers say that analyzing and interpreting the data is more complex, and tools for clinical diagnosis are still under development.

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Weill Cornell Medical College
University of California at San Francisco