Diffusion tensor imaging biomarkers for traumatic axonal injury: Analysis of three analytic methods

Carlos D. Marquez De La Plata, Fanpei Gloria Yang, Jun Yi Wang, Kamini Krishnan, Khamid Bakhadirov, Christopher Paliotta, Sina Aslan, Michael D. Devous, Carol Moore, Caryn Harper, Roderick McColl, C. Munro Cullum, Ramon Diaz-Arrastia

Research output: Contribution to journalArticle

34 Citations (Scopus)

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, 24-35)

Original languageEnglish (US)
Pages (from-to)24-35
Number of pages12
JournalJournal of the International Neuropsychological Society
Volume17
Issue number1
DOIs
StatePublished - Jan 2011

Fingerprint

Diffusion Tensor Imaging
Biomarkers
Wounds and Injuries
Anisotropy
Magnets
Neuroimaging
Outcome Assessment (Health Care)
White Matter
Research
Population

Keywords

  • Cognitive outcomes
  • DTI
  • Memory
  • TAI
  • Tractography
  • Traumatic Brain injury

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health
  • Clinical Psychology
  • Neuroscience(all)

Cite this

Marquez De La Plata, C. D., Yang, F. G., Wang, J. Y., Krishnan, K., Bakhadirov, K., Paliotta, C., ... Diaz-Arrastia, R. (2011). Diffusion tensor imaging biomarkers for traumatic axonal injury: Analysis of three analytic methods. Journal of the International Neuropsychological Society, 17(1), 24-35. https://doi.org/10.1017/S1355617710001189

Diffusion tensor imaging biomarkers for traumatic axonal injury : Analysis of three analytic methods. / Marquez De La Plata, Carlos D.; Yang, Fanpei Gloria; Wang, Jun Yi; Krishnan, Kamini; Bakhadirov, Khamid; Paliotta, Christopher; Aslan, Sina; Devous, Michael D.; Moore, Carol; Harper, Caryn; McColl, Roderick; Munro Cullum, C.; Diaz-Arrastia, Ramon.

In: Journal of the International Neuropsychological Society, Vol. 17, No. 1, 01.2011, p. 24-35.

Research output: Contribution to journalArticle

Marquez De La Plata, CD, Yang, FG, Wang, JY, Krishnan, K, Bakhadirov, K, Paliotta, C, Aslan, S, Devous, MD, Moore, C, Harper, C, McColl, R, Munro Cullum, C & Diaz-Arrastia, R 2011, 'Diffusion tensor imaging biomarkers for traumatic axonal injury: Analysis of three analytic methods', Journal of the International Neuropsychological Society, vol. 17, no. 1, pp. 24-35. https://doi.org/10.1017/S1355617710001189
Marquez De La Plata, Carlos D. ; Yang, Fanpei Gloria ; Wang, Jun Yi ; Krishnan, Kamini ; Bakhadirov, Khamid ; Paliotta, Christopher ; Aslan, Sina ; Devous, Michael D. ; Moore, Carol ; Harper, Caryn ; McColl, Roderick ; Munro Cullum, C. ; Diaz-Arrastia, Ramon. / Diffusion tensor imaging biomarkers for traumatic axonal injury : Analysis of three analytic methods. In: Journal of the International Neuropsychological Society. 2011 ; Vol. 17, No. 1. pp. 24-35.
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