Application progress of diffusion weighted magnetic resonance imaging in epilepsy

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ZHOU Qian ZHANG Guanghao WU Changzhe HUO Xiaolin ZHANG Cheng

Cite this article as: Zhou Q, Zhang GH, Wu CZ, et al. Application progress of diffusion weighted magnetic resonance imaging in epilepsy[J]. Chin J Magn Reson Imaging, 2022, 13(8): 104-108. DOI:10.12015/issn.1674-8034.2022.08.023.

Abstract

[Abstract] Epilepsy is a common chronic neurological disease with transient brain dysfunction caused by sudden abnormal discharge of brain neurons. Its main clinical characteristics are recurrent seizures and motor dysfunction, which seriously reduce the quality of life of patients. Therefore, it is necessary to diagnose and treat it in time as soon as possible. Diffusion weighted imaging (DWI) is a non-invasive imaging technology, which can use the diffusion information of water molecules to reflect the microstructure changes of brain tissue in patients with epilepsy. DWI technology has been continuously developed since it was proposed. Diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI) and diffusion spectrum imaging (DSI) have been widely used in the diagnosis and treatment of epilepsy. This paper briefly introduces several common DWI related technologies, and summarizes their application progress in the localization of epileptic foci, the diagnosis of epilepsy, and the network research of epilepsy.

[Keywords] epilepsy；diffusion weighted imaging；diffusion tensor imaging；diffusion kurtosis imaging；diffusion spectrum imaging

Contributor Information

ZHOU Qian^{1,
2}   ZHANG Guanghao^{1,
2}   WU Changzhe^{1,
2}   HUO Xiaolin^{1,
2}   ZHANG Cheng^{1,
2*}

¹ Beijing Key Laboratory of Bioelectromagnetism, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China

² School of Electrical, Electronics and Communications Engineering, University of Chinese Academy of Sciences, Beijing 100149, China

Zhang C, E-mail: zhangchengcc@mail.iee.ac.cn

Conflicts of interest None.

Publication Information

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 52077209, 51977205).

Received 2022-04-17

Accepted 2022-07-26

DOI: 10.12015/issn.1674-8034.2022.08.023

Text

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