Research at Neuronostics

Our digital biomarkers are built upon the highest standards of scientific rigour and peer review. Here you can find all of the underpinning science of our work.

Publication
W Woldman, H Schmidt, E Abela, FA Chowdhury, AD Pawley, S Jewell, MP Richardson, JR Terry. Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised (2020).
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Publication
MA Lopes, L Junges, W Woldman, M Goodfellow, JR Terry. The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures (2020).
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Publication
MA Lopes, S Perani, SN Yaakub, MP Richardson, M Goodfellow, JR Terry. Revealing epilepsy type using computational analysis of interictal EEG (2019).
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Publication
H Schmidt, W Woldman, M Goodfellow, FA Chowdhury, M Koutroumanidis, S Jewell, MP Richardson, JR Terry. A computational biomarker of idiopathic generalized epilepsy from resting state EEG (2016).
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Publication
GH Petkov, M Goodfellow, MP Richardson, JR Terry. A critical role for network structure in seizure onset: a computational modeling approach (2014).
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Publication
H Schmidt, GH Petkov, MP Richardson, JR Terry. Dynamics on Networks: The Role of Local Dynamics and Global Networks on the Emergence of Hypersynchronous Neural Activity (2014).
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Publication
FA Chowdhury, W Woldman, THB FitzGerald, RDC Elwes, L Nashef, JR Terry, MP Richardson. Revealing a brain network endophenotype in families with idiopathic generalized epilepsy (2014).
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Publication
JR Terry, O Benjamin, MP Richardson. Seizure generation: The role of nodes and networks (2012)
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Our Research Team

Our science team are responsible for developing and refining the algorithms that drive our technology.

Professor John Terry
Managing Director
Research profile
Dr Wessel Woldman
Scientific Director
Research profile