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Decreased Fractional Anisotropy Evaluated Using Tract-Based Spatial Statistics and Correlated with Cognitive Dysfunction in Patients with Mild Traumatic Brain Injury in the Chronic Stage - AJNR News Digest
March 2014
Brain

Decreased Fractional Anisotropy Evaluated Using Tract-Based Spatial Statistics and Correlated with Cognitive Dysfunction in Patients with Mild Traumatic Brain Injury in the Chronic Stage

Tetsuya Wada

Tetsuya Wada

Yoshitaka Asano

Yoshitaka Asano

Approximately 80% of nonfatal traumatic brain injuries (TBIs) are classified as mild. Although they occur often, the pathophysiological, neurophysiological, and neuropsychological mechanisms of mild TBI (MTBI) remain poorly understood. Clinically, TBI is associated with the cognitive disturbances that often cause problems in family, school, work, or other social settings. We have experienced many patients with MTBI who complained of neurocognitive symptoms though they had no morphological brain lesions on conventional MR imaging. We also found them difficult to treat. Previous meta-analytic studies have concluded that patients with MTBI with chronically impaired cognitive test performances were faking their deficits or that the cause of their poor performance was not brain-based. However, we thought that not all cases could be explained in this way.

Brain damage, which is referred to as diffuse axonal injury following MTBI, is a compromise of neural tissue; it is often subtle and difficult to detect. Diagnostic imaging of MTBI can increase our understanding of the clinical symptoms and help determine treatment strategies. In particular, DTI is a modality that has been developed as a tool to investigate the integrity of brain tissues such as white matter tracts and uncover discrete axonal injury. Diffusion anisotropy describes how variable the diffusion is in different directions. It is most commonly quantified in a ratio of axial-to-radial diffusivity known as fractional anisotropy (FA).

Our research has shown that patients with MTBI in the chronic phase have multiple regions with abnormally reduced FA in the superior longitudinal fasciculus, superior frontal gyrus, insula, and fornix, using tract-based spatial statistics analysis. The neuropsychological examination scores of patients with MTBI are positively correlated with FA values in some deep brain structures, including the basal ganglia and limbic system. Although the clinical and pathologic-anatomic correlation of these findings remains unclear, these regions are related to chronic persistent cognitive impairments in these patients.

Our hospital now routinely offers DTI and the conventional MR imaging for examination, so that we can generate the FA map using DTI in all patients with TBI. Then we compare a patient's FA map with an age-matched healthy control's FA map. For this process, we have recently established an analytic method of FA mapping using statistical parametric mapping. This method helps us determine the area of decreased FA clusters for each patient with MTBI. Our research focuses now on investigating the relationship between decreased FA clusters and neurocognitive symptoms in each such patient.

 

Read this article at AJNR.org . . .