![Luke Tait MMath (Liverpool), PhD (Exeter)](https://profiles-cardiff.imgix.net/attachments/5841?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Luke Tait
(e/fe)
MMath (Liverpool), PhD (Exeter)
Cydymaith Ymchwil Ôl-ddoethurol
- TaitL2@caerdydd.ac.uk
- +44 29206 88756
- Canolfan Ymchwil Delweddu'r Ymennydd Prifysgol Caerdydd, Heol Maendy, Caerdydd, CF24 4HQ
Trosolwyg
Nod fy ymchwil yw deall sut mae dynameg gweithgaredd electroffisiolegol yr ymennydd yn gysylltiedig ag iechyd ac anhwylderau gwybyddol fel clefyd Alzheimer, epilepsi, a risg o 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.
Ar hyn o bryd rwy'n Gydymaith Ymchwil Ôl-ddoethurol ar brosiect CONVERGE. Nod y prosiect hwn yw deall y cysylltiad rhwng cysylltedd / deinameg yr ymennydd a risgiau genetig sgitsoffrenia. Rwy'n gyfrifol am gasglu data fel delweddu'r ymennydd (MEG, MRI), ac asesiadau gwybyddol, modurol a seiciatrig gan blant gydag amrywiolion rhif copi sy'n gysylltiedig â risg uwch o sgitsoffrenia pan fyddant yn oedolion. Rwyf hefyd yn ymwneud â dadansoddi'r data hwn, ac integreiddio data llinell ddynol / cell/cnofilod ar draws graddfeydd lluosog mewn modelau achosol deinamig.
Cyhoeddiad
2024
- 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, article number: 106380. (10.1016/j.nbd.2023.106380)
- 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 (10.1016/j.jpain.2024.01.331)
2022
- Karahan, E. et al. 2022. The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Communications Biology 5, article number: 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, article number: 119006. (10.1016/j.neuroimage.2022.119006)
2021
- Tait, L., Ozkan, A., Szul, M. J. and Zhang, J. 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., Lopes, M. A., Stothart, G., Baker, J., Kazanina, N., Zhang, J. and Goodfellow, M. 2021. A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease. PLoS Computational Biology 17(8), article number: e1009252. (10.1371/journal.pcbi.1009252)
2020
- Lopes, M. A., Junges, L., Tait, L., Terry, J. R., Abela, E., Richardson, M. P. and Goodfellow, M. 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, article number: 17627. (10.1038/s41598-020-74790-7)
2019
- Tait, L., Stothart, G., Coulthard, E., Brown, J. T., Kazanina, N. and Goodfellow, M. 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., Wedgwood, K., Tsaneva-Atanasova, K., Brown, J. T. and Goodfellow, M. 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., Petkov, G., Kazanina, N., Goodfellow, M., Tait, L. and Brown, J. 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)
Articles
- 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, article number: 106380. (10.1016/j.nbd.2023.106380)
- 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 (10.1016/j.jpain.2024.01.331)
- Karahan, E. et al. 2022. The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure. Communications Biology 5, article number: 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, article number: 119006. (10.1016/j.neuroimage.2022.119006)
- Tait, L., Ozkan, A., Szul, M. J. and Zhang, J. 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., Lopes, M. A., Stothart, G., Baker, J., Kazanina, N., Zhang, J. and Goodfellow, M. 2021. A large-scale brain network mechanism for increased seizure propensity in Alzheimer's disease. PLoS Computational Biology 17(8), article number: e1009252. (10.1371/journal.pcbi.1009252)
- Lopes, M. A., Junges, L., Tait, L., Terry, J. R., Abela, E., Richardson, M. P. and Goodfellow, M. 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, article number: 17627. (10.1038/s41598-020-74790-7)
- Tait, L., Stothart, G., Coulthard, E., Brown, J. T., Kazanina, N. and Goodfellow, M. 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., Wedgwood, K., Tsaneva-Atanasova, K., Brown, J. T. and Goodfellow, M. 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., Petkov, G., Kazanina, N., Goodfellow, M., Tait, L. and Brown, J. 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
Is-raddedig
2011-2015: MMath (Dosbarth 1af Anrh) Ffiseg Fathemategol, Prifysgol Lerpwl
Ôl - raddedig
2015-2019: PhD Mathemateg, Sefydliad Systemau Byw, Prifysgol Caerwysg.
Teitl traethawd Ymchwil: Modelu Mathemategol Amlraddfaol Rhwydweithiau Ymennydd mewn Clefyd Alzheimer
Ôl-ddoethurol
2019-2021: Cydymaith Ymchwil, CUBRIC, Prifysgol Caerdydd
Prosiect yn gweithio ar rwydweithiau deinamig / microstates mewn gorffwys a thasg wybyddol
2021-2022: Cymrawd Ymchwil, Canolfan Modelu Systemau a Biofeddygaeth Meintiol, Prifysgol Birmingham
Modelu rhagfynegol epilepsi yn seiliedig ar nodweddion ystadegol signalau EEG gorffwys
2022-presennol: Cydymaith Ymchwil, CUBRIC, Prifysgol Caerdydd
Cydgyfeirio: Deall deinameg ymennydd wedi'i newid mewn plant sydd â risg genetig o sgitsoffrenia