Recent publications
Article
Tait, L, Staniaszek, LE, Galizia, E, Martin‐Lopez, D, Walker, MC, Azeez, AAA, Meiklejohn, K, Allen, D, Price, C, Georgiou, S, Bagary, M, Khalsa, S, Manfredonia, F, Tittensor, P, Lawthom, C, Howes, BB, Shankar, R, Terry, JR & Woldman, W 2024, 'Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study', Epilepsia. https://doi.org/10.1111/epi.18024
Marinelli, I, Walker, JJ, Seneviratne, U, D’Souza, W, Cook, MJ, Anderson, C, Bagshaw, A, Lightman, SL, Woldman, W & Terry, J 2023, 'Circadian distribution of epileptiform discharges in epilepsy: candidate mechanisms of variability', PLoS Computational Biology, vol. 19, no. 10, e1010508. https://doi.org/10.1371/journal.pcbi.1010508
Mason, SL, Junges, L, Woldman, W, Facer-Childs, ER, Campos, BMD, Bagshaw, AP & Terry, JR 2023, 'Classification of human chronotype based on fMRI network-based statistics', Frontiers in Neuroscience, vol. 17, 1147219. https://doi.org/10.3389/fnins.2023.1147219
Grant, AD, Upton, TJ, Terry, J, Smarr, BL & Zavala, E 2022, 'Analysis of wearable time series data in endocrine and metabolic research', Current Opinion in Endocrine and Metabolic Research, vol. 25, 100380. https://doi.org/10.1016/j.coemr.2022.100380
Cook, B, Peterson, A, Woldman, W & Terry, J 2022, 'Neural field models: a mathematical overview and unifying framework', Mathematical Neuroscience and Applications, vol. 2, 2. https://doi.org/10.46298/mna.7284
Cao, M, Galvis, D, Vogrin, SJ, Woods, WP, Vogrin, S, Wang, F, Woldman, W, Terry, JR, Peterson, A, Plummer, C & Cook, MJ 2022, 'Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery', Nature Communications, vol. 13, no. 1, 994. https://doi.org/10.1038/s41467-022-28640-x
Lopes, MA, Junges, L, Tait, L, Terry, JR, Abela, E, Richardson, MP & Goodfellow, M 2020, 'Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy', Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, vol. 131, no. 1, pp. 225-234. https://doi.org/10.1016/j.clinph.2019.10.027
Zavala, E, Voliotis, M, Zerenner, T, Tabak, J, Walker, JJ, Feng Li, X, Terry, J, Lightman, SL, O'Byrne, K & Tsaneva-Atanasova, K 2020, 'Dynamic hormone control of stress and fertility', Frontiers in Physiology. https://doi.org/10.1101/2020.08.24.264234
Woldman, W, Schmidt, H, Abela, E, Chowdhury, FA, Pawley, AD, Jewell, S, Richardson, MP & Terry, JR 2020, 'Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised', Scientific Reports, vol. 10, 7043. https://doi.org/10.1038/s41598-020-63430-9
Junges, L, Woldman, W, Benjamin, O & Terry, J 2020, 'Epilepsy surgery: Evaluating robustness using dynamic network models', Chaos, vol. 30, no. 113106.
Lopes, MA, Goodfellow, M & Terry, JR 2019, 'A model-based assessment of the seizure onset zone predictive power to inform the epileptogenic zone', Frontiers in Computational Neuroscience, vol. 13, 25. https://doi.org/10.3389/fncom.2019.00025
Słowiński, P, Sheybani, L, Michel, CM, Richardson, MP, Quairiaux, C, Terry, JR & Goodfellow, M 2019, 'Background EEG connectivity captures the time-course of epileptogenesis in a mouse model of epilepsy', eNeuro, vol. 6, no. 4. https://doi.org/10.1523/ENEURO.0059-19.2019
Lopes, MA, Perani, S, Yaakub, SN, Richardson, MP, Goodfellow, M & Terry, JR 2019, 'Revealing epilepsy type using a computational analysis of interictal EEG', Scientific Reports, vol. 9, 10169 . https://doi.org/10.1038/s41598-019-46633-7
Letter
Woldman, W, Cook, MJ & Terry, JR 2019, 'Evolving dynamic networks: an underlying mechanism of drug resistance in epilepsy?', Epilepsy & Behavior, vol. 94, pp. 264-268. https://doi.org/10.1016/j.yebeh.2019.03.003
Preprint
Kamaraj, AK, Szuromi, MP, Galvis, D, Stacey, W, Skeldon, AC & Terry, J 2023 'Using compartmental models to understand excitation-inhibition imbalance in epilepsy' bioRxiv. https://doi.org/10.1101/2023.11.03.565450
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