Control and analysis of epilepsy waveforms in a disinhibition model of cortex network

Shen, Zhuan; Deng, Zichen; Du, Lin; Zhang, Honghui; Yan, Liang; Xiao, Pengcheng

doi:10.1007/s11071-020-06131-2

Cited by 12 publications

(5 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, a simulated signal is categorized as slow quasi-sinusoidal activity if the difference between the maximum and minimum values is greater than 2 and the DF is greater than 8 Hz. In addition, the sustained discharge of spikes, sporadic spike, spike wave discharges, and poly-spikes activity are distinguished by the number of spikes [35] . Note that poly-spike complex activity [23,[54][55][56] , which is not observed in the previous Wendling model, is a common electrophysiological pattern of epilepsy.…”

Section: Resultsmentioning

confidence: 99%

“…A local cortical circuit model that comprised 5 neural masses, i.e., excitatory interneurons in layer 4, superficial pyramidal cells in supragranular layers 2 and 3, deep pyramidal cells (dPCs) in infragranular layers 5 and 6, and supragranular and infragranular interneuron populations, which was based on the neural mass model, was proposed [34] . Shen et al [35] devoted to works concerning the disinhibition circuit in the Wending model, and found poly-spike complexes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction

Sun

Liu

Yang

et al. 2023

Appl. Math. Mech.-Engl. Ed.

View full text Add to dashboard Cite

Epilepsy is believed to be associated with the abnormal synchronous neuronal activity in the brain, which results from large groups or circuits of neurons. In this paper, we choose to focus on the temporal lobe epilepsy, and establish a cortex network of multiple coupled neural populations to explore the epileptic activities under electromagnetic induction. We demonstrate that the epileptic activities can be controlled and modulated by electromagnetic induction and coupling among regions. In certain regions, these two types of control are observed to show exactly reverse effects. The results show that the strong electromagnetic induction is conducive to eliminating the epileptic seizures. The coupling among regions has a conduction effect that the previous normal background activity of the region gives way to the epileptic discharge, owing to coupling with spike wave discharge regions. Overall, these results highlight the role of electromagnetic induction and coupling among the regions in controlling and modulating epileptic activities, and might provide novel insights into the treatments of epilepsy.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction

Sun

Liu

Yang

et al. 2023

Appl. Math. Mech.-Engl. Ed.

View full text Add to dashboard Cite

show abstract

“…Therefore, we no longer limit our discussion to a single pathway within or outside the thalamus, but focus on multiple excitatory inputs and inhibitory projections from the cortex and thalamus [35,36]. In this section, we selected eight coupling strengths 3,5,6,7,8,9) between cortex and thalamus as key parameters to explore the dynamic changes of epileptic waveforms in single and coupled models. Our main purpose is to find the dynamic relationship of the system by studying the changes between different single pathways and to pave the way for comparing the dynamical changes induced by electromagnetic induction.…”

Section: Dynamic Changes Induced By Coupling Strength In Different Mo...mentioning

confidence: 99%

“…Clinically, electroencephalogram (EEG) is mainly used to record the discharges of neurons and detect the characteristics of absence seizures [ 3 , 4 ]. In recent years, with the in-depth study of clinical trials, the evolution of typical to atypical pathological states has been widely concerned [ 5 , 6 ]. The characteristics of absence epilepsy are no longer limited to spike-and-slow wave discharges of 2–4 Hz, but are subdivided into alternating multiple spike-wave oscillations, tonic oscillations, etc.…”

Section: Introductionmentioning

confidence: 99%

Dynamic effect of electromagnetic induction on epileptic waveform

et al. 2022

View full text Add to dashboard Cite

Background Electromagnetic induction has recently been considered as an important factor affecting the activity of neurons. However, as an important form of intervention in epilepsy treatment, few people have linked the two, especially the related dynamic mechanisms have not been explained clearly. Methods Considering that electromagnetic induction has some brain area dependence, we proposed a modified two-compartment cortical thalamus model and set eight different key bifurcation parameters to study the transition mechanisms of epilepsy. We compared and analyzed the application and getting rid of memristors of single-compartment and coupled models. In particular, we plotted bifurcation diagrams to analyze the dynamic mechanisms behind abundant discharge activities, which mainly involved Hopf bifurcations (HB), fold of cycle bifurcations (LPC) and torus bifurcations (TR). Results The results show that the coupled model can trigger more discharge states due to the driving effect between compartments. Moreover, the most remarkable finding of this study is that the memristor shows two sides. On the one hand, it may reduce tonic discharges. On the other hand, it may cause new pathological states. Conclusions The work explains the control effect of memristors on different brain regions and lays a theoretical foundation for future targeted therapy. Finally, it is hoped that our findings will provide new insights into the role of electromagnetic induction in absence seizures.

show abstract

“…Clinically, electroencephalogram (EEG) is mainly used to record the discharges of neurons and detect the behavior of absence seizures (Grubov et al 2017;). In recent years, with the in-depth study of clinical trials, the evolution of typical to atypical pathological states has been widely concerned (Medvedeva et al 2020;Shen et al 2021). The characteristics of epilepsy are no longer limited to spikeand-slow wave discharges of 2-4 Hz, but are subdivided into alternating multiple spike-wave oscillations, tonic oscillations, etc Frolov et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Dynamic effect of electromagnetic induction on epileptic waveform

Sun

Chen

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: Electromagnetic induction has recently been considered as an important factor affecting the activity of neurons. However, as an important form of intervention in epilepsy treatment, few people have linked the two, especially the related dynamic mechanisms have not been explained clearly. Methods: Considering that electromagnetic induction has some brain area dependence, we proposed a modified two-compartment cortical thalamus model and set eight different key bifurcation parameters to study the transition mechanisms of epilepsy. We compared and analyzed the application and getting rid of memristors of single-compartment and coupled models. In particular, we plotted bifurcation diagrams to analyze the dynamic mechanisms behind abundant discharge activities, which mainly involved Hopf bifurcations (HB), fold of cycle bifurcations (LPC) and torus bifurcations (TR). Results: The results show that the coupled model can trigger more discharge states due to the driving effect between compartments. Moreover, the most remarkable finding of this study is that the memristor shows two sides. On the one hand, it may reduce tonic discharges. On the other hand, it may cause new pathological states. Conclusions: The work explains the control effect of memristors on different brain regions and lays a theoretical foundation for future targeted therapy. Finally, it is hoped that our findings will provide new insights into the role of electromagnetic induction in absence seizures.

show abstract

Control and analysis of epilepsy waveforms in a disinhibition model of cortex network

Cited by 12 publications

References 68 publications

Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction

Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction

Dynamic effect of electromagnetic induction on epileptic waveform

Dynamic effect of electromagnetic induction on epileptic waveform

Contact Info

Product

Resources

About