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Diffusion Tensor Imaging Biomarkers for Traumatic Axonal Injury: Analysis of Three Analytic Methods

Published online by Cambridge University Press:  12 November 2010

Carlos D. Marquez de la Plata
Affiliation:
Center for Brain Health, University of Texas at Dallas, Richardson, Texas University of Texas Southwestern Medical Center, Dallas, Texas
Fanpei Gloria Yang
Affiliation:
Center for Brain Health, University of Texas at Dallas, Richardson, Texas
Jun Yi Wang
Affiliation:
Center for Brain Health, University of Texas at Dallas, Richardson, Texas
Kamini Krishnan
Affiliation:
Center for Brain Health, University of Texas at Dallas, Richardson, Texas
Khamid Bakhadirov
Affiliation:
Center for Brain Health, University of Texas at Dallas, Richardson, Texas
Christopher Paliotta
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Sina Aslan
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Michael D. Devous Sr.
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Carol Moore
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Caryn Harper
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Roderick McColl
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
C. Munro Cullum
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
Ramon Diaz-Arrastia*
Affiliation:
University of Texas Southwestern Medical Center, Dallas, Texas
*
Correspondence and reprint requests to: Ramon Diaz-Arrastia, Department of Neurology, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd., Dallas, TX 75390. E-mail: ramon.diaz-arrastia@utsouthwestern.edu

Abstract

Traumatic axonal injury (TAI) is a common mechanism of traumatic brain injury not readily identified using conventional neuroimaging modalities. Novel imaging modalities such as diffusion tensor imaging (DTI) can detect microstructural compromise in white matter (WM) in various clinical populations including TAI. DTI-derived data can be analyzed using global methods (i.e., WM histogram or voxel-based approaches) or a regional approach (i.e., tractography). While each of these methods produce qualitatively comparable results, it is not clear which is most useful in clinical research and ultimately in clinical practice. This study compared three methods of analyzing DTI-derived data with regard to detection of WM injury and their association with clinical outcomes. Thirty patients with TAI and 19 demographically similar normal controls were scanned using a 3 Tesla magnet. Patients were scanned approximately eight months postinjury, and underwent an outcomes assessment at that time. Histogram analysis of fractional anisotropy (FA) and mean diffusivity showed global WM integrity differences between patients and controls. Voxel-based and tractography analyses showed significant decreases in FA within centroaxial structures involved in TAI. All three techniques were associated with functional and cognitive outcomes. DTI measures of microstructural integrity appear robust, as the three analysis techniques studied showed adequate utility for detecting WM injury. (JINS, 2011, 17, 000–000)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2010

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