Dr Luke Tait
(e/fe)
MMath (Liverpool), PhD (Exeter)
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Luke Tait
Trosolwg
Nod fy ymchwil yw defnyddio technegau o Fathemateg a Ffiseg i ddeall sut mae gweithgaredd yr ymennydd yn gysylltiedig ag iechyd gwybyddol, geneteg, ac anhwylderau fel clefyd Alzheimer, epilepsi, a seicosis / sgitsoffrenia. Gyda chefndir mewn ffiseg fathemategol a niwrowyddoniaeth gyfrifiadurol, mae gen i ddiddordeb arbennig mewn datblygu dulliau newydd i holi a modelu gweithgaredd yr ymennydd a fesurir gan MEG, EEG, ac MRI. Mae hyn yn cynnwys technegau dadansoddi, clystyru data i ficro-gyflyrau deinamig, optimeiddio piblinellau ystadegol ar gyfer data niwrodelweddu aml-ddimensiwn, a gosod paramedrau modelau màs niwral i ddata o'r fath i gysylltu deinameg â mecanweithiau.
Cyhoeddiad
2026
- Námešná, A. et al. 2026. Synaptic and circuit mechanisms shaping neurodevelopmental and psychiatric outcomes associated with 16p11.2 copy number variation. Genes 17 (6) 716. (10.3390/genes17060716)
2025
- Walsh, C. et al., 2025. Transient cortical beta-frequency oscillations associated with contextual novelty in high density mouse EEG. Scientific Reports 15 (1) 2897. (10.1038/s41598-025-86008-9)
2024
- Tait, L. et al. 2024. Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study. Epilepsia 65 (8), pp.2459-2469. (10.1111/epi.18024)
- Maiarù, M. et al., 2024. Substance P-botulinum mediates long-term silencing of pain pathways that can be re-instated with a second injection of the construct in mice. The Journal of Pain 25 (6) 104466. (10.1016/j.jpain.2024.01.331)
- Kopcanová, M. et al., 2024. Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes. Neurobiology of Disease 190 106380. (10.1016/j.nbd.2023.106380)
2022
- Karahan, E. et al. 2022. The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Communications Biology 5 1007. (10.1038/s42003-022-03974-w)
- Tait, L. and Zhang, J. 2022. MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses. NeuroImage 251 119006. (10.1016/j.neuroimage.2022.119006)
2021
- Tait, L. et al. 2021. A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: performance, precision, and parcellation. Human Brain Mapping 42 (14), pp.4685-4707. (10.1002/hbm.25578)
- Tait, L. et al. 2021. A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease. PLoS Computational Biology 17 (8) e1009252. (10.1371/journal.pcbi.1009252)
2020
- Lopes, M. A. et al., 2020. Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy. Clinical Neurophysiology 131 (1), pp.225-234. (10.1016/j.clinph.2019.10.027)
- Tait, L. et al. 2020. EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease. Scientific Reports 10 17627. (10.1038/s41598-020-74790-7)
2019
- Tait, L. et al. 2019. Network substrates of cognitive impairment in Alzheimer's Disease. Clinical Neurophysiology 130 (9), pp.1581-1595. (10.1016/j.clinph.2019.05.027)
2018
- Tait, L. et al. 2018. Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells. Journal of Theoretical Biology 449 , pp.23-34. (https://doi.org/10.1016/j.jtbi.2018.04.013)
2016
- Stothart, G. et al., 2016. Graph-theoretical measures provide translational markers of large-scale brain network disruption in human dementia patients and animal models of dementia. International Journal of Psychophysiology 108 , pp.71-71. (10.1016/j.ijpsycho.2016.07.232)
Erthyglau
- Námešná, A. et al. 2026. Synaptic and circuit mechanisms shaping neurodevelopmental and psychiatric outcomes associated with 16p11.2 copy number variation. Genes 17 (6) 716. (10.3390/genes17060716)
- Walsh, C. et al., 2025. Transient cortical beta-frequency oscillations associated with contextual novelty in high density mouse EEG. Scientific Reports 15 (1) 2897. (10.1038/s41598-025-86008-9)
- Tait, L. et al. 2024. Estimating the likelihood of epilepsy from clinically noncontributory electroencephalograms using computational analysis: A retrospective, multisite case–control study. Epilepsia 65 (8), pp.2459-2469. (10.1111/epi.18024)
- Maiarù, M. et al., 2024. Substance P-botulinum mediates long-term silencing of pain pathways that can be re-instated with a second injection of the construct in mice. The Journal of Pain 25 (6) 104466. (10.1016/j.jpain.2024.01.331)
- Kopcanová, M. et al., 2024. Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes. Neurobiology of Disease 190 106380. (10.1016/j.nbd.2023.106380)
- Karahan, E. et al. 2022. The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Communications Biology 5 1007. (10.1038/s42003-022-03974-w)
- Tait, L. and Zhang, J. 2022. MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses. NeuroImage 251 119006. (10.1016/j.neuroimage.2022.119006)
- Tait, L. et al. 2021. A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: performance, precision, and parcellation. Human Brain Mapping 42 (14), pp.4685-4707. (10.1002/hbm.25578)
- Tait, L. et al. 2021. A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease. PLoS Computational Biology 17 (8) e1009252. (10.1371/journal.pcbi.1009252)
- Lopes, M. A. et al., 2020. Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy. Clinical Neurophysiology 131 (1), pp.225-234. (10.1016/j.clinph.2019.10.027)
- Tait, L. et al. 2020. EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease. Scientific Reports 10 17627. (10.1038/s41598-020-74790-7)
- Tait, L. et al. 2019. Network substrates of cognitive impairment in Alzheimer's Disease. Clinical Neurophysiology 130 (9), pp.1581-1595. (10.1016/j.clinph.2019.05.027)
- Tait, L. et al. 2018. Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells. Journal of Theoretical Biology 449 , pp.23-34. (https://doi.org/10.1016/j.jtbi.2018.04.013)
- Stothart, G. et al., 2016. Graph-theoretical measures provide translational markers of large-scale brain network disruption in human dementia patients and animal models of dementia. International Journal of Psychophysiology 108 , pp.71-71. (10.1016/j.ijpsycho.2016.07.232)
Bywgraffiad
Academaidd
2026-Presennol: Darlithydd mewn Ystadegau, Ysgol Mathemateg, Prifysgol Caerdydd
Ôl-ddoethurol
2022-Presennol: Cydymaith Ymchwil, CUBRIC, Prifysgol Caerdydd
CYDGYFEIRIO: Deall deinameg yr ymennydd wedi'i newid mewn plant sydd â risg genetig o sgitsoffrenia
2021-2022: Cymrawd Ymchwil, Canolfan Modelu Systemau a Biofeddygaeth Meintiol, Prifysgol Birmingham
Modelu rhagfynegol o epilepsi yn seiliedig ar nodweddion ystadegol signalau EEG gorffwys
2019-2021: Cydymaith Ymchwil, CUBRIC, Prifysgol Caerdydd
Prosiect yn gweithio ar rwydweithiau deinamig / microstates mewn gorffwys a thasg wybyddol
Ôl-raddedig
2015-2019: PhD mewn Mathemateg, Sefydliad Systemau Byw, Prifysgol Caerwysg.
Teitl y traethawd hir: Modelu Mathemategol Aml-raddfa o Rwydweithiau'r Ymennydd mewn Clefyd Alzheimer
Israddedig
2011-2015: MMath (Anrh Dosbarth 1af) Ffiseg Fathemategol, Prifysgol Lerpwl
Contact Details
+44 29206 88756
Abacws, Ystafell 4.23, Ffordd Senghennydd, Cathays, Caerdydd, CF24 4AG
Canolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd, Ystafell 1.031, Heol Maendy, Caerdydd, CF24 4HQ