In vivo microelectrode arrays for detecting multi-region epileptic activities in the hippocampus in the latent period of rat model of temporal lobe epilepsy

Dai, Y., Song, Y., Xie, J., Xu, S., Li, X., He, E., Yin, H. and Cai, X. (2021) In vivo microelectrode arrays for detecting multi-region epileptic activities in the hippocampus in the latent period of rat model of temporal lobe epilepsy. Micromachines, 12(6), 659. (doi: 10.3390/mi12060659)

Abstract

Temporal lobe epilepsy (TLE) is a form of refractory focal epilepsy, which includes a latent period and a chronic period. Microelectrode arrays capable of multi-region detection of neural activities are important for accurately identifying the epileptic focus and pathogenesis mechanism in the latent period of TLE. Here, we fabricated multi-shank MEAs to detect neural activities in the DG, hilus, CA3, and CA1 in the TLE rat model. In the latent period in TLE rats, seizures were induced and changes in neural activities were detected. The results showed that induced seizures spread from the hilus and CA3 to other areas. Furthermore, interneurons in the hilus and CA3 were more excited than principal cells and exhibited rhythmic oscillations at approximately 15 Hz in grand mal seizures. In addition, the power spectral density (PSD) of neural spikes and local field potentials (LFPs) were synchronized in the frequency domain of the alpha band (9–15 Hz) after the induction of seizures. The results suggest that fabricated MEAs have the advantages of simultaneous and precise detection of neural activities in multiple subregions of the hippocampus. Our MEAs promote the study of cellular mechanisms of TLE during the latent period, which provides an important basis for the diagnosis of the lesion focus of TLE.

• Item Type: Articles

Additional Information

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<fragment>This research was funded by the National Key R&D Program of China (201
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• Keywords: Multi-region detection, implantable probe, temporal lobe epilepsy, rhythmic oscillations, hippocampus.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Yin, Professor Huabing

Creator Roles

Yin, H.: Formal analysis, Methodology

• Authors: Dai, Y., Song, Y., Xie, J., Xu, S., Li, X., He, E., Yin, H., and Cai, X.
• College/School: College of Science and Engineering > School of Engineering > Biomedical Engineering
• Journal Name: Micromachines
• Publisher: MDPI
• ISSN: 2072-666X
• ISSN (Online): 2072-666X
• Published Online: 03 June 2021
• Copyright Holders: Copyright © 2021 The Authors
• First Published: First published in Micromachines 12(6): 659
• Publisher Policy: Reproduced under a Creative Commons License