Epilepsy detection from EEG using complex network techniques: A review

S Supriya, S Siuly, H Wang… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Epilepsy is one of the most chronic brain disorder recorded from since 2000 BC. Almost one-
third of epileptic patients experience seizures attack even with medicated treatment. The …

A study of problems encountered in Granger causality analysis from a neuroscience perspective

PA Stokes, PL Purdon - Proceedings of the national academy of sciences, 2017 - pnas.org
Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …

Toward a mechanistic understanding of epileptic networks

EH Smith, CA Schevon - Current neurology and neuroscience reports, 2016 - Springer
Focal epileptic seizures have long been considered to arise from a small susceptible brain
area and spread through uninvolved regions. In the past decade, the idea that focal seizures …

Functional map** and effective connectivity of the human operculum

MD Mălîia, C Donos, A Barborica, I Popa, J Ciurea… - Cortex, 2018 - Elsevier
The operculum, defined as the cortex adjacent to the insula, is a large structure
encompassing three lobes, with a recognized role in a variety of neurologic and psychiatric …

Association of seizure spread with surgical failure in epilepsy

JP Andrews, A Gummadavelli, P Farooque… - JAMA …, 2019 - jamanetwork.com
Importance Seizures recur in as many as half of patients who undergo surgery for drug-
resistant temporal lobe epilepsy (TLE). Understanding why TLE is resistant to surgery in …

Estimating brain connectivity with varying-length time lags using a recurrent neural network

Y Wang, K Lin, Y Qi, Q Lian, S Feng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Computer-aided estimation of brain connectivity aims to reveal information
propagation in brain automatically, which has great potential in clinical applications, eg …

A novel robust Student's t-based Granger causality for EEG based brain network analysis

X Gao, W Huang, Y Liu, Y Zhang, J Zhang, C Li… - … Signal Processing and …, 2023 - Elsevier
Granger-causality-based brain network analysis has been widely applied in EEG-based
neuroscience researches and clinical diagnoses, such as motor imagery emotion analysis …

Causal connectivity network analysis of ictal electrocorticogram with temporal lobe epilepsy based on dynamic phase transfer entropy

Y Miao, H Suzuki, H Sugano, T Ueda… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Temporallobe epilepsy (TLE) has been conceptualized as a brain network disease, which
generates brain connectivity dynamics within and beyond the temporal lobe structures in …

A small change in neuronal network topology can induce explosive synchronization transition and activity propagation in the entire network

Z Wang, C Tian, M Dhamala, Z Liu - Scientific reports, 2017 - nature.com
We here study explosive synchronization transitions and network activity propagation in
networks of coupled neurons to provide a new understanding of the relationship between …

Utility of intracranial EEG networks depends on re-referencing and connectivity choice

H Shi, AR Pattnaik, C Aguila, A Lucas… - Brain …, 2024 - academic.oup.com
Studies of intracranial EEG networks have been used to reveal seizure generators in
patients with drug-resistant epilepsy. Intracranial EEG is implanted to capture the epileptic …