Area of research
Cognitive Neuroscience · Computer Networks and Communications
Research interest
Research interests include Neural dynamics and brain function, Functional Brain Connectivity Studies, EEG and Brain-Computer Interfaces, and Nonlinear Dynamics and Pattern Formation.
Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study
Estimating the likelihood of epilepsy from clinically non-contributory EEG using computational analysis: A retrospective, multi-site case-control study
Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised
Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy
Revealing epilepsy type using a computational analysis of interictal EEG
Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control
An optimal strategy for epilepsy surgery: Disruption of the rich-club?
Estimation of brain network ictogenicity predicts outcome from epilepsy surgery
A computational biomarker of idiopathic generalized epilepsy from resting state EEG
Revealing a Brain Network Endophenotype in Families with Idiopathic Generalised Epilepsy
A Critical Role for Network Structure in Seizure Onset: A Computational Modeling Approach
Dynamics on Networks: The Role of Local Dynamics and Global Networks on the Emergence of Hypersynchronous Neural Activity
Seizure generation: The role of nodes and networks
A phenomenological model of seizure initiation suggests network structure may explain seizure frequency in idiopathic generalised epilepsy
The dynamic evolution of focal‐onset epilepsies – combining theoretical and clinical observations