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Spike densities of the amygdala and neocortex reflect progression of kindled motor seizures

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Abstract

Amygdala kindling is a common temporal lobe-like seizure model. In the present study, temporal and spectral analyses of the ictal period were investigated throughout amygdala kindling in response to different behavioral seizures. Right-side amygdala was kindled to induce epileptiform afterdischarges (ADs). ADs of both the frontal cortex and amygdala were analyzed. Powers of the low (0–9 Hz)- and high (12–30 Hz)-frequency bands in response to different behavioral seizures were calculated. Densities of upward and downward peaks of spikes, which reflected information of spike count and spike pattern, throughout kindle-induced ADs were calculated. Progression was seen in the temporal and spectral characteristics of amygdala-kindled ADs in response to behaviors. Numbers of significant differences of all 1-s AD segments between two Racine’s seizure stages were significantly higher in upward and downward indexes of the temporal spike than those using the spectral method in both the amygdala and neocortex. Ability for distinguishing seizure stages was significantly higher in temporal spike density of amygdala ADs compared to those of frontal ADs. Our results showed that amygdala kindling caused spectrotemporal changes of activities in the amygdala and frontal cortex. The density of spike-related peaks had better distinguishability in response to behavioral seizures, particularly in a seizure zone of amygdala. The present study provides a new temporal index of spike’s peak density to understand progression of motor seizures in the kindling process.

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Acknowledgements

The authors thank Ms. Yu-Hsing Huang and Yin-Lin Chen for their technical supports and animal preparation. We appreciate official support from the University of South Australia. This work was supported by the Ministry of Science and Technology (MOST103-2314-B-006-021-MY2 and MOST106-2420-H-006-003), Taiwan. This study is also supported by “Aim for the Top University Plan” of the National Chiao Tung University and Ministry of Education, Taiwan.

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Authors and Affiliations

  1. Department of Computer Science Information Engineering, National Cheng Kung University, Tainan, Taiwan

    Yu-Lin Wang, Sheng-Fu Liang & Alvin W. Y. Su

  2. Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Sheng-Fu Liang & Alvin W. Y. Su

  3. Department of Psychology, National Cheng Kung University, No 1 University Road, Tainan, 70101, Taiwan

    Fu-Zen Shaw

  4. Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsinchu, Taiwan

    Fu-Zen Shaw

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  1. Yu-Lin Wang
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  2. Sheng-Fu Liang
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Correspondence to Fu-Zen Shaw.

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Wang, YL., Liang, SF., Su, A.W.Y. et al. Spike densities of the amygdala and neocortex reflect progression of kindled motor seizures. Med Biol Eng Comput 56, 99–112 (2018). https://doi.org/10.1007/s11517-017-1672-4

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  • DOI: https://doi.org/10.1007/s11517-017-1672-4

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