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Tract-based spatial statistics analysis of diffusion-tensor imaging data in pediatric- and adult-onset multiple sclerosis

Authors

  • Rachel Aliotta,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
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  • Jennifer L. Cox,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
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  • Katelyn Donohue,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
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  • Bianca Weinstock-Guttman,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. The Jacobs Neurological Institute, Department of Neurology, Buffalo, New York
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  • E. Ann Yeh,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. The Jacobs Neurological Institute, Department of Neurology, Buffalo, New York
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  • Paul Polak,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
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  • Michael G. Dwyer,

    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
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  • Robert Zivadinov

    Corresponding author
    1. State University of New York at Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York
    2. Buffalo Neuroimaging Analysis Center, Buffalo, New York
    3. The Jacobs Neurological Institute, Department of Neurology, Buffalo, New York
    • Department of Neurology, School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center,100 High Street, Buffalo, NY 14203. E-mail: rzivadinov@bnac.net

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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 35:53–60, 2014. © 2012 Wiley Periodicals, Inc.

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