Phenomenological network models: Lessons for epilepsy surgery

J Hebbink, H Meijer, G Huiskamp, S van Gils… - …, 2017 - Wiley Online Library
The current opinion in epilepsy surgery is that successful surgery is about removing
pathological cortex in the anatomic sense. This contrasts with recent developments in …

An optimal strategy for epilepsy surgery: Disruption of the rich-club?

MA Lopes, MP Richardson, E Abela… - PLoS computational …, 2017 - journals.plos.org
Surgery is a therapeutic option for people with epilepsy whose seizures are not controlled by
anti-epilepsy drugs. In pre-surgical planning, an array of data modalities, often including …

Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling

N Sinha, J Dauwels, M Kaiser, SS Cash… - Brain, 2017 - academic.oup.com
Abstract See Eissa and Schevon (doi: 10.1093/aww332) for a scientific commentary on this
article. Surgery can be a last resort for patients with intractable, medically refractory epilepsy …

Network dysfunction in pre and postsurgical epilepsy: connectomics as a tool and not a destination

GW Johnson, DJ Doss, DJ Englot - Current opinion in neurology, 2022 - journals.lww.com
If we can develop accurate models to outline functional and structural network
characteristics that predict failure of standard surgical approaches, then we can not only …

Optimization of epilepsy surgery through virtual resections on individual structural brain networks

IA Nissen, AP Millán, CJ Stam, ECW van Straaten… - Scientific reports, 2021 - nature.com
The success of epilepsy surgery in patients with refractory epilepsy depends upon correct
identification of the epileptogenic zone (EZ) and an optimal choice of the resection area. In …

Quantification and selection of ictogenic zones in epilepsy surgery

P Laiou, E Avramidis, MA Lopes, E Abela… - Frontiers in …, 2019 - frontiersin.org
Network models of brain dynamics provide valuable insight into the healthy functioning of
the brain and how this breaks down in disease. A pertinent example is the use of network …

The role that choice of model plays in predictions for epilepsy surgery

L Junges, MA Lopes, JR Terry, M Goodfellow - Scientific reports, 2019 - nature.com
Mathematical modelling has been widely used to predict the effects of perturbations to brain
networks. An important example is epilepsy surgery, where the perturbation in question is …

Epilepsy surgery: Evaluating robustness using dynamic network models

L Junges, W Woldman, OJ Benjamin… - … Journal of Nonlinear …, 2020 - pubs.aip.org
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 …

Computer models to inform epilepsy surgery strategies: prediction of postoperative outcome

M Goodfellow, C Rummel, E Abela, MP Richardson… - Brain, 2017 - academic.oup.com
Sir, Recently, Sinha et al.(2017) published an article describing how a computer model
interrogation of intracranial EEG recordings could be used to predict neurosurgical …

Estimation of brain network ictogenicity predicts outcome from epilepsy surgery

M Goodfellow, C Rummel, E Abela, MP Richardson… - Scientific reports, 2016 - nature.com
Surgery is a valuable option for pharmacologically intractable epilepsy. However, significant
post-operative improvements are not always attained. This is due in part to our incomplete …