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Regional cortical thickness in relapsing remitting multiple sclerosis: A multi-center study.

Ponnada A Narayana | Koushik A Govindarajan | Priya Goel | Sushmita Datta | John A Lincoln | Stacy S Cofield | Gary R Cutter | Fred D Lublin | Jerry S Wolinsky | MRI Analysis Center at Houston | The CombiRx Investigators Group
NeuroImage. Clinical | 2012

A comprehensive analysis of the global and regional values of cortical thickness based on 3D magnetic resonance images was performed on 250 relapsing remitting multiple sclerosis (MS) patients who participated in a multi-center, randomized, phase III clinical trial (the CombiRx Trial) and 125 normal controls. The MS cohort was characterized by relatively low clinical disability and short disease duration. An automatic pipeline was developed for identifying images with poor quality and artifacts. The global and regional cortical thicknesses were determined using FreeSurfer software. Our results indicate significant cortical thinning in multiple regions in the MS patient cohort relative to the controls. Both global cortical thinning and regional cortical thinning were more prominent in the left hemisphere relative to the right hemisphere. Modest correlation was observed between cortical thickness and clinical measures that included the extended disability status scale and disease duration. Modest correlation was also observed between cortical thickness and T1-hypointense and T2-hyperintense lesions. These correlations were very similar at 1.5 T and 3 T field strengths. A much weaker inverse correlation between cortical thickness and age was observed among the MS subjects compared to normal controls. This age-dependent correlation was also stronger in males than in females. The values of cortical thickness were very similar at 1.5 T and 3 T field strengths. However, the age-dependent changes in both global and regional cortical thicknesses were observed to be stronger at 3 T relative to 1.5 T.

Pubmed ID: 24179765

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NIBIB NIH HHS, United States
    Id: R01 EB002095
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS078244
  • Agency: NCRR NIH HHS, United States
    Id: S10 RR019186
  • Agency: NINDS NIH HHS, United States
    Id: U01 NS045719

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International Consortium for Brain Mapping (tool)

RRID:SCR_001948

Probabilistic reference system for human brain, including tools to establish this reference system for structural and functional anatomy on both macroscopic (in vivo) and microscopic (post mortem) levels. Project has expanded neuroinformatics tools for data sharing and created Conforming Site System that allows laboratories worldwide to contribute data to evolving atlas. Through implementation of ICBM data sharing policy space, they are fostering data exchange while still providing for scientific credit assignment and subject confidentiality.ICBM atlas collection consists of ICBM Template, tool developed to provide reference that includes both set of coordinates and associated anatomical labels; the ICBM 452 T1 atlas, average of T1-weighted MRIs of normal young adult brains, ICBM probabilistic atlases, and Cytoarchitectonic Atlas. ICBM Subject Database is web-based database infrastructure that simplifies image dataset collection, organization and dissemination. Authorized users may view representations of data and form collections of datasets that can be downloaded or fed directly into Pipeline environment for distributed processing and analysis.

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Internet Brain Segmentation Repository (tool)

RRID:SCR_001994

Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results.

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Open Access Series of Imaging Studies (tool)

RRID:SCR_007385

Project aimed at making neuroimaging data sets of brain freely available to scientific community. By compiling and freely distributing neuroimaging data sets, future discoveries in basic and clinical neuroscience are facilitated.

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