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Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy

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Book cover Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions (MIAR 2013, AE-CAI 2013)

Abstract

The purpose of this study was to compare multiple voxel-based morphometry (VBM) approaches and analyze the whole-brain white matter (WM) changes in the unilateral temporal lobe epilepsy (TLE) patients relative to controls. In our study, the performance of the VBM approaches, including standard VBM, optimized VBM and VBM-DARTEL, was evaluated via a simulation, and then these VBM approaches were applied to the real data obtained from the TLE patients and controls. The results from simulation show that VBM-DARTEL performs the best among these VBM approaches. For the real data, WM reductions were found in the ipsilateral temporal lobe, the contralateral frontal and occipital lobes, the bilateral parietal lobes, cingulated gyrus, parahippocampal gyrus and brainstem of the left-TLE patients by VBM-DARTEL, which is consistent with previous studies. Our study demonstrated that DARTEL was the most robust and reliable approach for VBM analysis.

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References

  1. Ashburner, J., Friston, K.J.: Voxel-based morphometry-the methods. Neuroimage 11, 805–821 (2000)

    Article  Google Scholar 

  2. Good, C.D., Johnsrude, I.S., et al.: A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14, 21–36 (2001)

    Article  Google Scholar 

  3. Ashburner, J.: A fast diffeomorphic image registration algorithm. Neuroimage 38, 95–113 (2007)

    Article  Google Scholar 

  4. Baron, J.C., Chetelat, G., et al.: In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer’s disease. Neuroimage 14, 298–309 (2001)

    Article  Google Scholar 

  5. Kubicki, M., Shenton, M.E., et al.: Voxel-based morphometric analysis of gray matter in first episode schizophrenia. Neuroimage 17, 1711–1719 (2002)

    Article  Google Scholar 

  6. Keller, S.S., Mackay, C.E., et al.: Voxel-based morphometric comparison of hippocampal and extrahippocampal abnormalities in patients with left and right hippocampal atrophy. Neuroimage 16, 23–31 (2002)

    Article  Google Scholar 

  7. Bernasconi, N., Duchesne, S., et al.: Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy. Neuroimage 23, 717–723 (2004)

    Article  Google Scholar 

  8. Keller, S.S., Wilke, M., et al.: Comparison of standard and optimized voxel-based morphometry for analysis of brain changes associated with temporal lobe epilepsy. Neuroimage 23, 860–868 (2004)

    Article  Google Scholar 

  9. Bergouignan, L., Chupin, M., et al.: Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? Neuroimage 45, 29–37 (2009)

    Article  Google Scholar 

  10. Yassa, M.A., Stark, C.E.L.: A quantitative evaluation of cross-participant registration techniques for MRI studies of the medial temporal lobe. Neuroimage 44, 319–327 (2009)

    Article  Google Scholar 

  11. Karacali, B., Davatzikos, C.: Simulation of tissue atrophy using a topology preserving transformation model. IEEE Trans. Med. Imaging 25, 649–652 (2006)

    Article  Google Scholar 

  12. Ashburner, J., Friston, K.J.: Unified segmentation. Neuroimage 26, 839–851 (2005)

    Article  Google Scholar 

  13. Coan, A.C., Appenzeller, S., et al.: Seizure frequency and lateralization affect progression of atrophy in temporal lobe epilepsy. Neurology 73, 834–842 (2009)

    Article  Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, W., He, H., Lu, J., Lv, B., Li, M., Jin, Z. (2013). Evaluation of Multiple Voxel-Based Morphometry Approaches and Applications in the Analysis of White Matter Changes in Temporal Lobe Epilepsy. In: Liao, H., Linte, C.A., Masamune, K., Peters, T.M., Zheng, G. (eds) Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions. MIAR AE-CAI 2013 2013. Lecture Notes in Computer Science, vol 8090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40843-4_29

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  • DOI: https://doi.org/10.1007/978-3-642-40843-4_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40842-7

  • Online ISBN: 978-3-642-40843-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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