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Comput Math Methods Med. 2014;2014:120182. doi: 10.1155/2014/120182. Epub 2014 Mar 10.

Tract-based Bayesian multivariate analysis of mild traumatic brain injury.

Author information

1
Department of Radiology, Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, 155 Hanzhong Road, Nanjing, Jiangsu 210029, China.
2
Department of Radiology, East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
3
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.

Abstract

PURPOSE:

Detecting brain regions characterizing mild traumatic brain injury (mTBI) by combining Tract-Based Spatial Statistics (TBSS) and Graphical-model-based Multivariate Analysis (GAMMA).

MATERIALS AND METHODS:

This study included 39 mTBI patients and 28 normal controls. Local research ethics committee approved this prospective study. Diffusion-tensor imaging was performed in mTBI patients within 7 days of injury. Skeletonized fractional anisotropy (FA) maps were generated by using TBSS. Brain regions characterizing mTBI were detected by GAMMA.

RESULTS:

Two clusters of lower frontal white matter FA were present in mTBI patients. We constructed classifiers based on FA values in these two clusters to differentiate mTBI and controls. The mean accuracy, sensitivity, and specificity, across five different classifiers, were 0.80, 0.94, and 0.61, respectively.

CONCLUSIONS:

Combining TBSS and GAMMA can detect neuroimaging biomarkers characterizing mTBI.

PMID:
24711857
PMCID:
PMC3966337
DOI:
10.1155/2014/120182
[Indexed for MEDLINE]
Free PMC Article
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