caa a22 4500 606201432 CHVBK 20210128100948.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00429-013-0633-4 doi (NATIONALLICENCE)springer-10.1007/s00429-013-0633-4 Experimental focal neocortical epilepsy is associated with reduced white matter volume growth: results from multiparametric MRI analysis [Elektronische Daten] [Willem Otte, Maurits van Meer, Kajo van der Marel, René Zwartbol, Max Viergever, Kees Braun, Rick Dijkhuizen] 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 10weeks, 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. Springer-Verlag Berlin Heidelberg, 2013 White matter nationallicence Gray matter nationallicence Focal epilepsy nationallicence Rat brain nationallicence Structural MRI nationallicence Supervised segmentation nationallicence Otte Willem Department of Pediatric Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands aut van Meer Maurits Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut van der Marel Kajo Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut Zwartbol René Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut Viergever Max Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut Braun Kees Department of Pediatric Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands aut Dijkhuizen Rick Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut Brain Structure and Function Springer Berlin Heidelberg 220/1(2015-01-01), 27-36 1863-2653 220:1<27 2015 220 429 https://doi.org/10.1007/s00429-013-0633-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00429-013-0633-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Otte Willem Department of Pediatric Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- van Meer Maurits Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- van der Marel Kajo Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- Zwartbol René Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- Viergever Max Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- Braun Kees Department of Pediatric Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands aut NATIONALLICENCE 700 1- Dijkhuizen Rick Biomedical MR Imaging and Spectroscopy Group, Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands aut NATIONALLICENCE 773 0- Brain Structure and Function Springer Berlin Heidelberg 220/1(2015-01-01), 27-36 1863-2653 220:1<27 2015 220 429