Brain Structure and Function

, Volume 220, Issue 1, pp 27–36

Experimental focal neocortical epilepsy is associated with reduced white matter volume growth: results from multiparametric MRI analysis

  • Willem M. Otte
  • Maurits P. A. van Meer
  • Kajo van der Marel
  • René Zwartbol
  • Max A. Viergever
  • Kees P. J. Braun
  • Rick M. Dijkhuizen
Original Article

DOI: 10.1007/s00429-013-0633-4

Cite this article as:
Otte, W.M., van Meer, M.P.A., van der Marel, K. et al. Brain Struct Funct (2015) 220: 27. doi:10.1007/s00429-013-0633-4

Abstract

Focal epilepsy has recently been associated with remote white matter damage, including reduced white matter volume. Longitudinal assessment of these white matter changes, in relation to functional mechanisms and consequences, may be ideally done by in vivo neuroimaging in well-controlled experimental animal models. We assessed whether advanced machine learning algorithm models could accurately detect volumetric changes in white matter from multiparametric MR images, longitudinally collected in a neocortical focal epilepsy rat model. We measured classification accuracy in two supervised segmentation models: i.e. the generalized linear model and the nonlinear random forest model—by comparing computed white matter probabilities with actual neuroanatomically identified white matter. We found excellent overall discriminatory power for both models. However, the random forest model demonstrated a superior goodness-of-fit calibration plot that was close to the ideal calibration line. Based on this model, we measured that total white matter volume increased in young adult control and epileptic rats over a period of 10 weeks, but the average white matter volume was significantly lower in the focal epilepsy group. Changes in gray matter volume were not significantly different between control and epileptic rats. Our results (1) indicate that recurrent spontaneous seizures have an adverse effect on global white matter growth and (2) show that individual whole brain white matter volume can be accurately determined using a combination of multiparametric MRI and supervised segmentation models, offering a powerful tool to assess white matter volume changes in preclinical studies of neurological disease.

Keywords

White matter Gray matter Focal epilepsy Rat brain Structural MRI Supervised segmentation 

Supplementary material

429_2013_633_MOESM1_ESM.doc (60 kb)
Supplementary material 1 (DOC 60 kb)
429_2013_633_MOESM2_ESM.pdf (299 kb)
Supplementary material 2 (PDF 299 kb)
429_2013_633_MOESM3_ESM.pdf (780 kb)
Supplementary material 3 (PDF 779 kb)
429_2013_633_MOESM4_ESM.pdf (270 kb)
Supplementary material 4 (PDF 270 kb)

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Willem M. Otte
    • 1
    • 2
  • Maurits P. A. van Meer
    • 2
  • Kajo van der Marel
    • 2
  • René Zwartbol
    • 2
  • Max A. Viergever
    • 2
  • Kees P. J. Braun
    • 1
  • Rick M. Dijkhuizen
    • 2
  1. 1.Department of Pediatric Neurology, Rudolf Magnus Institute of NeuroscienceUniversity Medical Center UtrechtUtrechtThe Netherlands
  2. 2.Biomedical MR Imaging and Spectroscopy Group, Image Sciences InstituteUniversity Medical Center UtrechtUtrechtThe Netherlands

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