Seizure detection algorithm based on improved functional brain network structure feature extraction
L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …
seizures is essential for treatment. A seizure detection method with the structure of functional …
Epilepsy as a dynamical disorder orchestrated by epileptogenic zone: a review
C Yang, Z Liu, Q Wang, Q Wang, Z Liu, G Luan - Nonlinear Dynamics, 2021 - Springer
Epilepsy is a group of chronic neurological disorders characterized with recurrent and
hypersynchronous discharge. In the epileptic brain, epileptogenic zone (EZ) with abnormal …
hypersynchronous discharge. In the epileptic brain, epileptogenic zone (EZ) with abnormal …
Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations
Electrophysiological power spectra typically consist of two components: An aperiodic part
usually following an 1/f power law P∝ 1/f β and periodic components appearing as spectral …
usually following an 1/f power law P∝ 1/f β and periodic components appearing as spectral …
Desynchronization transitions in adaptive networks
Adaptive networks change their connectivity with time, depending on their dynamical state.
While synchronization in structurally static networks has been studied extensively, this …
While synchronization in structurally static networks has been studied extensively, this …
Human brain structural connectivity matrices–ready for modelling
The human brain represents a complex computational system, the function and structure of
which may be measured using various neuroimaging techniques focusing on separate …
which may be measured using various neuroimaging techniques focusing on separate …
Migraine visual aura and cortical spreading depression—Linking mathematical models to empirical evidence
This review describes the subjective experience of visual aura in migraine, outlines
theoretical models of this phenomenon, and explores how these may be linked to …
theoretical models of this phenomenon, and explores how these may be linked to …
Criticality in FitzHugh-Nagumo oscillator ensembles: Design, robustness, and spatial invariance
Reservoir computing is an efficient and flexible framework for decision-making, control, and
signal processing. It uses a network of interacting components varying from abstract …
signal processing. It uses a network of interacting components varying from abstract …
Extreme synchronization events in a Kuramoto model: The interplay between resource constraints and explosive transitions
Many living and artificial systems possess structural and dynamical properties of complex
networks. One of the most exciting living networked systems is the brain, in which …
networks. One of the most exciting living networked systems is the brain, in which …
Imperfect chimera and synchronization in a hybrid adaptive conductance based exponential integrate and fire neuron model
In this study, the hybrid conductance-based adaptive exponential integrate and fire (CadEx)
neuron model is proposed to determine the effect of magnetic flux on conductance-based …
neuron model is proposed to determine the effect of magnetic flux on conductance-based …
Repulsive inter-layer coupling induces anti-phase synchronization
We present numerical results for the synchronization phenomena in a bilayer network of
repulsively coupled 2D lattices of van der Pol oscillators. We consider the cases when the …
repulsively coupled 2D lattices of van der Pol oscillators. We consider the cases when the …