John Terry

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Interdisciplinary Professorial Fellow

University of Birmingham

United Kingdom

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About

John Terry is an Interdisciplinary Professorial Fellow at the University of Birmingham, UK. His research focuses on the complexities of epilepsy, neurodevelopmental disorders, and the application of computational analysis in understanding brain functionality. Recent publications include studies on the impact of pediatric epilepsy, optical coherence tomography in traumatic brain injuries, and analyses of wearable data in metabolic research.

Recent Grants

Grant: Close

EPSRC Network+: Neurotechnology for enabling community-based diagnosis and care

Open Date: 2022-08-31

Close Date: 2025-08-30

Grant: Close

Digital Healthcare: A vehicle for capacity building in ICT skills and public engagement

Open Date: 2022-08-31

Close Date: 2024-08-30

Grant: Close

Seizures and the brain: The role of perturbed dynamic networks

Open Date: 2021-02-01

Close Date: 2026-01-01

Grant: Close

EPSRC Centre for Predictive Modelling in Healthcare

Open Date: 2020-01-01

Close Date: 2021-01-31

Grant: Close

Stochastic Modelling of Human EEG: Application to Epilepsy Diagnosis

Open Date: 2018-09-30

Close Date: 2022-09-29

Articles (15)

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2020

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2020

Collaborators (15)

Mark J. Cook

AUSTRALIA

John Terry

Research Interests

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About

Recent Grants

Articles (15)

Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis

The impact of paediatric epilepsy and co-occurring neurodevelopmental disorders on functional brain networks in wake and sleep

A systematic review of optical coherence tomography findings in adults with mild traumatic brain injury

Treatment effects in epilepsy: a mathematical framework for understanding response over time

Circadian distribution of epileptiform discharges in epilepsy: Candidate mechanisms of variability

Classification of human chronotype based on fMRI network-based statistics

Analysis of wearable time series data in endocrine and metabolic research

Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery

A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG

Domino-like transient dynamics at seizure onset in epilepsy

Epilepsy surgery: Evaluating robustness using dynamic network models

Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised.

The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures.

Dynamic Hormone Control of Stress and Fertility

Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy

Collaborators (15)

Mark J. Cook

Andre Peterson

Eugenio Abela

Peter Hellyer

Naoki Masuda

Tanja Zerenner

Rachel Upthegrove

Jan Novak

Phil Tittensor

Matthew Walker

Jonathan T Brown

Thomas Upton

Rohit Shankar

Thomas Ridler

Eder Zavala

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