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A Comparison of Three Brain Atlases for Temporal Lobe Epilepsy Prediction

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Abstract

Purpose

An accurate and reliable brain atlas, as the role of navigation, should be effective and vital to differentiate the patients with temporal lobe epilepsy (TLE) from normal controls (NCs). The purpose of this study is to compare the classification performance of identifying TLE patients based on different atlases, which were Desikan-killiany (DK) atlas, Destrieux (DS) atlas and Brainnetome (BN) atlas.

Methods

Twenty-three patients with TLE and thirty NCs were recruited for our study. Seven morphological features of ROIs were calculated firstly. Then individual morphological brain network were constructed. After that, least absolute shrinkage and selection operator (LASSO) algorithm was used in feature selection. Finally, classification with support vector machine (SVM) and leave-one-out cross-validation (LOOCV) were employed for the training and evaluation of the classifiers.

Results

The performance of the experiments using BN atlas was better than DK atlas and DS atlas. LASSO algorithm used for feature selection can improve the classification performance. The SVM analysis using BN atlas revealed best classification with accuracy of 92.45% and 90.57% respectively based on network properties and morphological features.

Conclusion

This study suggested that the choice of atlases is important in the computer-aided classification of TLE.

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Acknowledgements

This study was supported by project Grants from Beijing Nova Program (xx2016120), National Natural Science Foundation of China (81101107, 31640035, 81601126), Natural Science Foundation of Beijing (4162008) and program for Scientific Research Project of Beijing Educational Committee (SQKM201710005013). We are thankful for the support from Intelligent Physiological Measurement and Clinical Translation and Beijing International Base for Scientific and Technological Cooperation.

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Authors and Affiliations

  1. Department of Environment and Life Sciences, Beijing University of Technology, Beijing, China

    Wenxiu Zhang & Chunlan Yang

  2. Beijing Tiantan Hospital, Capital Medical University, Beijing, China

    Zhimei Li & Jiechuan Ren

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  1. Wenxiu Zhang
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Correspondence to Chunlan Yang.

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Zhang, W., Yang, C., Li, Z. et al. A Comparison of Three Brain Atlases for Temporal Lobe Epilepsy Prediction. J. Med. Biol. Eng. 42, 11–20 (2022). https://doi.org/10.1007/s40846-021-00676-2

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