Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy
Epilepsy is a common neurological disorder, with one third of patients not responding to
currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has …
currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has …
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 …
Computational modeling allows unsupervised classification of epileptic brain states across species
Current advances in epilepsy treatment aim to personalize and responsively adjust
treatment parameters to overcome patient heterogeneity in treatment efficiency. For tailoring …
treatment parameters to overcome patient heterogeneity in treatment efficiency. For tailoring …
Network-motif delay differential analysis of brain activity during seizures
Delay Differential Analysis (DDA) is a nonlinear method for analyzing time series based on
principles from nonlinear dynamical systems. DDA is extended here to incorporate network …
principles from nonlinear dynamical systems. DDA is extended here to incorporate network …
On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain's functional connectogram
Rationalized development of electrical stimulation (ES) therapy is of paramount importance.
Not only it will foster new techniques and technologies with increased levels of safety …
Not only it will foster new techniques and technologies with increased levels of safety …
Unsupervised eeg preictal interval identification in patients with drug-resistant epilepsy
Typical seizure prediction models aim at discriminating interictal brain activity from pre-
seizure electrographic patterns. Given the lack of a preictal clinical definition, a fixed interval …
seizure electrographic patterns. Given the lack of a preictal clinical definition, a fixed interval …
Epilepsy surgery: Evaluating robustness using dynamic network models
Epilepsy is one of the most common neurological conditions affecting over 65 million people
worldwide. Over one third of people with epilepsy are considered refractory: they do not …
worldwide. Over one third of people with epilepsy are considered refractory: they do not …
Heterogeneous correlate and potential diagnostic biomarker of tinnitus based on nonlinear dynamics of resting-state EEG recordings
Z Naghdabadi, M Jahed - Plos one, 2024 - journals.plos.org
Tinnitus is a heterogeneous condition of hearing a rattling sound when there is no auditory
stimulus. This rattling sound is associated with abnormal synchronous oscillations in …
stimulus. This rattling sound is associated with abnormal synchronous oscillations in …
Comparision of spontaneous brain activity between hippocampal sclerosis and MRI-negative temporal lobe epilepsy
C Song, X Zhang, Y Zhang, S Han, K Ma, X Mao… - Epilepsy & Behavior, 2024 - Elsevier
Background Hippocampal sclerosis (HS) is a prevalent cause of temporal lobe epilepsy
(TLE). However, up to 30% of individuals with TLE present negative magnetic resonance …
(TLE). However, up to 30% of individuals with TLE present negative magnetic resonance …
Advances in understanding the pathogenesis of epilepsy: Unraveling the molecular mechanisms
S Shariff, HA Nouh, S Inshutiyimana… - Health Science …, 2024 - Wiley Online Library
Introduction Epilepsy is characterized by having two or more unprovoked seizures.
Understanding the pathogenesis of epilepsy, requires deep investigation into the molecular …
Understanding the pathogenesis of epilepsy, requires deep investigation into the molecular …