Article
Mathematics
Zhihui Wang, Yanying Yang, Lixia Duan
Summary: Using a thalamocortical neural field model, this study explored the dynamic mechanism of system transition in epilepsy. The results showed that excitatory interneurons induce transitions from 1-spike and wave discharges to 2-spike and wave discharges, inhibitory interneurons induce transitions from saturated state to tonic oscillation state, and the thalamic relay nucleus induces transitions from clonic oscillation state to saturated state.
ELECTRONIC RESEARCH ARCHIVE
(2023)
Article
Clinical Neurology
Britta E. Lindquist, Yuliya Voskobiynyk, Kimberly Goodspeed, Jeanne T. Paz
Summary: Mutations in SLC6A1 are associated with epilepsy and developmental disorders. The S295L mutation in GAT-1 leads to symptoms similar to GAT-1 haploinsufficiency in mice, providing a useful preclinical model for drug screening and gene therapy investigations.
Article
Clinical Neurology
Veronique Riban, Isabelle Heulard, Lucie Reversat, Hakim Si Hocine, Marc Verleye
Summary: Stiripentol has a significant antiseizure effect on absence seizures by inhibiting T-type calcium channels. This finding contributes to a better understanding of the mechanism of action of stiripentol and its specificity in the treatment of Dravet syndrome.
Article
Biochemistry & Molecular Biology
Evgenia Sitnikova, Maria Pupikina, Elizaveta Rutskova
Summary: In this study, we investigated the adrenergic mechanisms of generalized spike-wave epileptic discharges (SWDs) in rats. We found that dexmedetomidine, an alpha-2 agonist, can induce and reveal the latent form of spike-wave epilepsy. Activation of alpha2-adrenergic receptors can increase the risk of absence status in subjects with long-lasting SWDs. We propose the concept of alpha1- and alpha2-AR regulation of SWDs through modulation of thalamocortical network activity. EEG examination with low doses of dexmedetomidine may aid in diagnosing latent forms of absence epilepsy.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Neurosciences
Yuqin Sun, Yuting Chen, Hudong Zhang, Yuan Chai
Summary: This study proposes an improved two-compartment cortical thalamus model to study the transition mechanisms of epilepsy and compares the effects of single-compartment and coupled models. The results show that the coupled model can trigger more discharge states. The memristor exhibits dual nature, as it can reduce tonic discharges but also potentially cause new pathological states. This work has important theoretical implications for exploring the role of electromagnetic induction in absence seizures.
Review
Biochemistry & Molecular Biology
Evgenia Sitnikova, Elizaveta Rutskova, Kirill Smirnov
Summary: Spike-wave discharges are caused by thalamocortical network disorder in idiopathic generalized epilepsy. Currently available anti-epileptic drugs have significant side effects due to low selectivity to molecular targets. Activation of alpha2B adrenergic receptors (ARs) in the thalamus shows potential as a specific molecular target for absence epilepsy. HCN and calcium channels are proposed as relevant cellular targets of alpha2 ARs in spike-wave activity generation.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Clinical Neurology
Max Springer, Aya Khalaf, Peter Vincent, Jun Hwan Ryu, Yasmina Abukhadra, Sandor Beniczky, Tracy Glauser, Heinz Krestel, Hal Blumenfeld
Summary: This study aimed to develop a machine-learning method based on electroencephalography (EEG) features to predict behavioral impairment during spike-wave discharges (SWDs) in absence epilepsy. The best classifier achieved 100% predictive value for spared SWDs and 93% sensitivity in labeled data. In unlabeled data, the best classifier achieved 100% predictive value for spared SWDs, but with a lower sensitivity of 35%. These findings demonstrate the feasibility of using machine learning to predict impaired behavior during SWDs based on EEG features.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2022)
Article
Neurosciences
Bing Hu, Zhizhi Wang, Minbo Xu, Dongmei Zhang, Dingjiang Wang
Summary: This paper investigates the regulatory mechanism of spike and wave discharges in the reticular thalamic nucleus (TRN) through a dynamic computational model. The study finds that altering coupling weights and delays in the thalamocortical circuit can induce various types of discharges. Additionally, inhibitory output from the basal ganglia can suppress these discharges. The findings provide theoretical evidence for treating epilepsy and future experimental studies.
COGNITIVE NEURODYNAMICS
(2022)
Article
Multidisciplinary Sciences
Cian McCafferty, Benjamin F. Gruenbaum, Renee Tung, Jing-Jing Li, Xinyuan Zheng, Peter Salvino, Peter Vincent, Zachary Kratochvil, Jun Hwan Ryu, Aya Khalaf, Kohl Swift, Rashid Akbari, Wasif Islam, Prince Antwi, Emily A. Johnson, Petr Vitkovskiy, James Sampognaro, Isaac G. Freedman, Adam Kundishora, Antoine Depaulis, Francois David, Vincenzo Crunelli, Basavaraju G. Sanganahalli, Peter Herman, Fahmeed Hyder, Hal Blumenfeld
Summary: A rat absence seizure model replicates the characteristics of human absence seizures, with changes in behavior, electroencephalography, and cortical functional magnetic resonance imaging. The study reveals prolonged brain state changes before consciousness-impairing seizures and identifies four distinct patterns of neuronal activity during seizures in the cortex and thalamus.
NATURE COMMUNICATIONS
(2023)
Article
Clinical Neurology
S. M. Stoyell, B. S. Baxter, J. McLaren, H. Kwon, D. M. Chinappen, L. Ostrowski, L. Zhu, J. A. Grieco, M. A. Kramer, A. K. Morgan, B. C. Emerton, D. S. Manoach, C. J. Chu
Summary: CSWS is a rare and severe epileptic encephalopathy characterized by cognitive regression and abundant sleep activated interictal epileptiform discharges. This study found a correlation between sleep spindle rate and cognitive performance, suggesting sleep spindles may serve as a physiological biomarker for cognitive dysfunction in epileptic encephalopathies.
Editorial Material
Clinical Neurology
Martin J. Gallagher
Summary: This study used an awake female rat model to successfully replicate the behavioral, electroencephalographic, and cortical functional magnetic resonance imaging characteristics of human absence seizures. The findings reveal that overall decreased but rhythmic firing of neurons in cortex and thalamus occurs during seizures. Different functional groups of cortical and thalamic neurons exhibit distinct patterns of seizure-associated activity, including a transient firing increase followed by a sustained firing decrease. The study also shows that prolonged changes in brain state precede consciousness-impairing seizures.
Article
Engineering, Mechanical
Nikita M. Egorov, Danil D. Kulminskiy, Ilya Sysoev, Vladimir Ponomarenko, Marina Sysoeva
Summary: In this study, an ensemble of eight mesoscale models with different connectivity matrices was constructed to demonstrate long quasiregular transient dynamics. These models can be used in the study of absence seizures and for validating approaches for directed connectivity analysis in brain research.
NONLINEAR DYNAMICS
(2022)
Article
Mathematics, Applied
Nikita Frolov, Alexander Hramov
Summary: Many living and artificial systems exhibit complex network properties, with the brain being one of the most exciting examples due to synchronization playing a crucial role in its functioning. Excessive synchronization in neural networks may lead to pathological activities like epilepsy. Network-theoretical approaches and dynamical modeling can offer deep insights into the origins of synchronization-related brain disorders.
Article
Neurosciences
Evgenia Sitnikova, Elizaveta M. Rutskova, Daria Tsvetaeva, Vladimir V. Raevsky
Summary: The research found that SWDs are correlated with the number of neurons in the SNc, with subjects having fewer neurons more likely to experience SWDs. There were no differences in SNc size and cellular content between different phenotypes. Rudimentary SWDs were found in both phenotypes.
BRAIN RESEARCH BULLETIN
(2021)
Article
Neurosciences
Querusche Klippel Zanona, Gabriel Alves Marconi, Natividade de Sa Couto Pereira, Gabriela Lazzarotto, Ana Luiza Ferreira Donatti, Jose Antonio Cortes de Oliveira, Norberto Garcia-Cairasco, Maria Elisa Calcagnotto
Summary: Adding a second insult to the genetic background of mice can enhance epileptogenesis and spontaneous epileptic seizures. Experimental results showed that microgyria intensified SWD events while reducing anxiety-like behavior, suggesting that WAR-FL could be a reliable model for studying epileptogenesis.
Article
Neurosciences
Chuanzuo Yang, Zhao Liu, Qingyun Wang, Guoming Luan, Feng Zhai
Summary: This paper discusses the abnormalities of epilepsy and their association with excitability and synaptic dynamics, proposing models for different regions involved in epileptic processes. A novel short-term plasticity model was introduced to describe synaptic behavior and the role of hyperexcitability in seizure susceptibility. Numerical simulations and cross recurrence plot analysis were used to explore the epileptic process and synchronization between neuronal populations.
COGNITIVE NEURODYNAMICS
(2021)
Article
Neurosciences
Zecheng Yang, Denggui Fan, Qingyun Wang, Guoming Luan
Summary: Phase space reconstruction from stereo-electroencephalography data of ten patients with focal epilepsy reveals the transition characteristics of brain dynamical system before and during seizure, with a potential biomarker identified for predictive effect or delayed awareness. This finding is numerically verified with a coupled mass neural model, providing new insights into seizure detection.
COGNITIVE NEURODYNAMICS
(2021)
Article
Engineering, Mechanical
Jinyi Zhao, Denggui Fan, Qishao Wang, Qingyun Wang
Summary: This study demonstrates the significant regulatory role of astrocytes in dynamic transitions of coupled neurons. Calcium signals in astrocytes induce and regulate low-frequency firing patterns, impacting the oscillatory behavior of neurons.
NONLINEAR DYNAMICS
(2021)
Article
Mathematics, Applied
Gerold Baier, Liyuan Zhang, Qingyun Wang, Friederike Moeller
Summary: This study proposes a workflow to quantitatively extract the nodes and edges contributing to seizure onset, while also considering the interrelationships between channels. It quantifies the contribution of EEG channels to seizure onset using across-seizure scoring, and demonstrates the consistency of channel contributions within a patient. This offers a new approach for presurgical monitoring in epilepsy.
Article
Automation & Control Systems
Yuqing Hao, Qingyun Wang, Zhisheng Duan, Guanrong Chen
Summary: This study investigates the impact of adding a second reverse edge to a directed chain graph on the dominant convergence rate, finding that the convergence rate is primarily determined by the ranges and relative positions of the reverse edges. Additionally, consensus performance does not improve with the addition of a new reverse edge and decreases as the range of the reverse edge increases.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Review
Engineering, Mechanical
Chuanzuo Yang, Zilu Liu, Qishao Wang, Qingyun Wang, Zhao Liu, Guoming Luan
Summary: Epilepsy is a chronic neurological disorder characterized by recurrent and hypersynchronous discharge, with the epileptogenic zone playing a critical role in abnormal neuronal behaviors. The epileptic brain shows increased seizure susceptibility due to alterations in dynamics and the presence of epileptogenic networks. Understanding the relationship between the self-organization of epileptogenic networks and abnormal dynamics of the EZ can provide insights into the mechanism of epileptogenesis and potential therapeutic strategies.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Qishao Wang, Zhisheng Duan, Jingyao Wang, Qingyun Wang, Guanrong Chen
Summary: This article proposes an accelerated algorithm for solving the linear quadratic optimal consensus problem of multiagent systems. By decomposing the problem into two independent and solvable subproblems and introducing the proximal gradient descent scheme to approximate the precise optimal solutions of the subproblems, the computing efficiency is improved. Convergence analysis shows that the algorithm achieves fully distributed optimal consensus.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Engineering, Multidisciplinary
Yuqing Hao, Qingyun Wang, Zhisheng Duan, Guanrong Chen
Summary: A generalized-eigenvector-based condition for target controllability is derived and applied to networked MIMO LTI systems with some easily-verified lower-dimensional conditions. The explicit relationships between node-system dynamics, network topology, inner couplings, target-node positions, and external control inputs on the network's target controllability are shown. The paper also revisits the target controllability of multi-agent systems and suggests a modified criterion, with several examples demonstrating the effectiveness of the conditions.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ying Yu, Fang Han, Qingyun Wang
Summary: The study aims to develop a model of the primary motor cortex (M1)-basal ganglia-thalamus that reproduces the physiological phenomenon of exaggerated phase-amplitude coupling (PAC) in Parkinson's disease and explore the potential sources of PAC anomalies in M1. The findings suggest that abnormal beta oscillations generated within the basal ganglia can be transmitted to M1 through the subthalamic nucleus (STN) or thalamus, interfering with high-frequency signals in the motor cortex. The weakening of M1->STN connections leads to a shift of STN oscillations from the high beta band to the low beta band, supporting the experimental results that the hyper-direct path from M1 to STN drives the beta oscillations of STN. Furthermore, the study investigates the suppressive effect of STN deep brain stimulation on PAC.
Article
Mathematics, Applied
Ying Yu, Yubo Fan, Songan Hou, Qingyun Wang
Summary: This paper investigates potential optogenetic stimulation targets in M1 for the treatment of Parkinson's disease (PD). The results suggest that excitatory stimulation of layer 5 PT neurons activates hyper-direct pathways and reduces beta oscillations in GPi. A new stimulation strategy combining excitation of layer 5A IT neurons and inhibition of PT neurons effectively activates direct pathways and reduces abnormal beta oscillations in GPi. Furthermore, the excitatory stimulation of SOM interneurons in M1 is shown to inhibit PT and IT neurons, thereby reducing beta oscillations in GPi via direct pathways.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Automation & Control Systems
Yuqing Hao, Qingyun Wang, Zhisheng Duan, Guanrong Chen
Summary: In this article, the discernibility of topological variations for networked linear time-invariant (LTI) systems is investigated. A necessary and sufficient condition is derived, revealing the impact of topological variations, node-system dynamics, and inner interactions on network discernibility. The condition presented is more general than existing conditions. Furthermore, the discernibility of topological variations for multiagent systems is revisited, and a new necessary and sufficient condition is established with broader applicability.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Mechanical
Xiaomin Wang, Ying Yu, Fang Han, Qingyun Wang
Summary: Dysfunction of basal ganglia, specifically alterations in firing rate and beta-band synchronization activity, is associated with Parkinson's disease. The heterogeneity of external globus pallidus (GPe) neurons, particularly calcium-binding protein parvalbumin (PV) and Lim homeobox (Lhx6) GPe, plays a role in these neural alterations. Under pathological conditions, synaptic coupling changes contribute to increased inhibition of PV GPe and beta-band synchronous bursting. The subthalamic nucleus (STN) is involved in stabilizing GPe neuron spiking, inhibiting abnormal oscillations, and preventing abnormal oscillatory rhythms in the GPe.
NONLINEAR DYNAMICS
(2023)
Article
Automation & Control Systems
Qishao Wang, Yuezu Lv, Qingyun Wang
Summary: This article proposes an integrated adaptive control approach to solve the consensus tracking problem of multiagent systems with Lipchitz nonlinear dynamics. The approach extends the adaptive law from scalar form to matrix form, using only one adaptive coupling gain matrix to adjust the feedback control gain and coupling weight simultaneously, which provides convenience for analysis and application of the consensus tracking protocol.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2023)
Article
Engineering, Biomedical
Ying Yu, Fang Han, Qingyun Wang
Summary: Temporal lobe epilepsy is associated with neuronal hyperexcitability in the hippocampal-entorhinal cortical circuit. This study proposes a neuronal network model to explore the mechanism of epileptic generation, demonstrating the role of enhanced excitability of pyramidal neurons and mossy cell connectivity in seizures and the potential use of phase-amplitude coupling as a marker. The results also suggest that hyperexcitability of stellate cells in the entorhinal cortex can act as an independent source of seizures.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Physics, Fluids & Plasmas
Zilu Liu, Fang Han, Qingyun Wang
Summary: This study investigates how phase relationships aggregate at the level of cognitive subsystems under different cognitive processing. The results suggest that cognitive synchronization patterns are more task specific, while cognitive metastability patterns are more consistent and may encode a task-general property during cognitive processing.
