4.7 Article

Multi-modal quantitative MRI investigation of brain tissue neurodegeneration in multiple sclerosis

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 35, 期 6, 页码 1300-1311

出版社

WILEY-BLACKWELL
DOI: 10.1002/jmri.23539

关键词

Multiple sclerosis; Wallerian degeneration; neurodegeneration; aging; quantitative MRI; diffusion tensor imaging; T2 relaxation; Atlas-based; lesion mapping; human brain mapping; FreeSurfer; volumetry; macrostructure; microstructure

资金

  1. NIH/NINDS [R01-NS052505-04]
  2. Dunn Research Fund
  3. NIH/NIBIB [EB002095]
  4. Band Against Multiple Sclerosis
  5. NIH [S10 RR19186]

向作者/读者索取更多资源

Purpose: To investigate the utility of multimodal quantitative MRI (qMRI) and atlas-based methods to identify characteristics of lesion-driven injury and neurodegeneration in relapsing remitting multiple sclerosis (RRMS). Materials and Methods: This work is health insurance portability and accountability act compliant. High resolution T1-weighted, dual echo, and fluid-attenuated inversion recovery and diffusion tensor MRI images were prospectively acquired on 68 RRMS patients (range, 2558 years) and 68 age-matched controls. The data were analyzed using standardized human brain atlas-based tissue segmentation procedures to obtain regional volumes and their corresponding T2 relaxation times and DTI maps. Results: Group-averaged brain atlas-based qMRI maps of T2, fractional anisotropy and diffusivities are visually presented and compared between controls and RRMS. The analysis shows a widespread injury in RRMS. Atrophy of the corpus callosum (CC) was substantial in RRMS. The qMRI attributes of the neocortex in combination with the CC such as T2 and diffusivities were elevated and correlated with disability. Conclusion: Using a standardized multimodal qMRI acquisition and analyses that accounted for lesion distribution we demonstrate that cerebral pathology is widespread in RRMS. Our analysis of CC and neocortex qMRI metrics in relation to disability points to a neurodegenerative injury component that is independent from lesions. J. Magn. Reson. Imaging 2012;. (c) 2012 Wiley Periodicals, Inc.

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