Research Article
Tract-based spatial statistics analysis of diffusion-tensor imaging data in pediatric- and adult-onset multiple sclerosis
Article first published online: 30 AUG 2012
DOI: 10.1002/hbm.22148
Copyright © 2012 Wiley Periodicals, Inc.
Issue

Human Brain Mapping
Early View (Online Version of Record published before inclusion in an issue)
Additional Information
How to Cite
Aliotta, R., Cox, J. L., Donohue, K., Weinstock-Guttman, B., Yeh, E. A., Polak, P., Dwyer, M. G. and Zivadinov, R. (2012), Tract-based spatial statistics analysis of diffusion-tensor imaging data in pediatric- and adult-onset multiple sclerosis. Hum. Brain Mapp.. doi: 10.1002/hbm.22148
Publication History
- Article first published online: 30 AUG 2012
- Manuscript Received: 12 OCT 2012
- Manuscript Accepted: 5 JUN 2012
- Manuscript Revised: 29 MAY 2012
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Keywords:
- multiple sclerosis;
- diffusion-tensor-imaging;
- tract-based spatial statistics (TBSS);
- pediatric-onset;
- adult-onset
Abstract
Background: White matter (WM) microstructure may vary significantly in pediatric-onset (PO) and adult-onset (AO) patients with multiple sclerosis (MS), a difference that could be explained by the effects of an inherent plasticity in the affected pediatric brains early in the disease, and a phenomenon that does not occur later in life. This hypothesis would support the observation that disease progression is much slower in POMS compared to AOMS patients. Objectives: To examine WM microstructure in the brain of adults with POMS and AOMS, using tract based spatial statistics (TBSS) analysis of diffusion-tensor imaging (DTI). Methods: Adults with relapsing-remitting (RR) POMS, who were diagnosed before age of 18 years (n = 16), were compared with age-matched (AOA, n = 23) and disease duration-matched (AOD, n = 22) RR patients who developed MS after the age of 18 years. Scans were analyzed using the FSL software package (Oxford, UK) and statistics were performed using TBSS to evaluate WM microstructure between groups based on the mean fractional anisotropy (FA) values obtained from the DTI. Results: Widespread cortical and deep WM area differences characterized by increased FA values were seen in the AOAMS compared with POMS group (P < 0.05, TFCE corrected). Significantly increased FA values of posterior WM areas were detected in the AODMS compared with POMS group (P < 0.05, TFCE corrected). Conclusion: Increased FA values in WM areas of the AOMS compared with the POMS patients suggest that diffuse WM microstructure changes are more attributable to age of onset than a simple function of disease duration and age. Hum Brain Mapp, 2012. © 2012 Wiley Periodicals, Inc.

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