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Luke Tait
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EEG microstate complexity for aiding early diagnosis of Alzheimer’s disease
L Tait, F Tamagnini, G Stothart, E Barvas, C Monaldini, R Frusciante, ...
Scientific reports 10 (1), 17627, 2020
912020
Network substrates of cognitive impairment in Alzheimer’s Disease
L Tait, G Stothart, E Coulthard, JT Brown, N Kazanina, M Goodfellow
Clinical Neurophysiology 130 (9), 1581-1595, 2019
322019
A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high‐resolution atlas: Performance, precision, and parcellation
L Tait, A Özkan, MJ Szul, J Zhang
Human Brain Mapping 42 (14), 4685-4707, 2021
302021
Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy
MA Lopes, L Junges, L Tait, JR Terry, E Abela, MP Richardson, ...
Clinical Neurophysiology 131 (1), 225-234, 2020
282020
MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses
L Tait, J Zhang
NeuroImage 251, 119006, 2022
212022
+ microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG
L Tait, J Zhang
NeuroImage 258, 119346, 2022
152022
A large-scale brain network mechanism for increased seizure propensity in Alzheimer’s disease
L Tait, MA Lopes, G Stothart, J Baker, N Kazanina, J Zhang, M Goodfellow
PLoS Computational Biology 17 (8), e1009252, 2021
132021
Cortical source imaging of resting-state MEG with a high resolution atlas: An evaluation of methods
L Tait, A Özkan, MJ Szul, J Zhang
BioRxiv, 2020.01. 12.903302, 2020
92020
EEG microstate complexity for aiding early diagnosis of Alzheimer's disease. Sci Rep 10: 17627
L Tait, F Tamagnini, G Stothart, E Barvas, C Monaldini, R Frusciante, ...
62020
Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures
E Karahan, L Tait, R Si, A Özkan, M Szul, J Zhang
BioRxiv, 2021.04. 01.438129, 2021
52021
Control of clustered action potential firing in a mathematical model of entorhinal cortex stellate cells
L Tait, K Wedgwood, K Tsaneva-Atanasova, JT Brown, M Goodfellow
Journal of Theoretical Biology 449, 23-34, 2018
42018
Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes
M Kopčanová, L Tait, T Donoghue, G Stothart, L Smith, ...
Neurobiology of Disease 190, 106380, 2024
32024
The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
E Karahan, L Tait, R Si, A Özkan, MJ Szul, KS Graham, AD Lawrence, ...
Communications Biology 5 (1), 1007, 2022
22022
Graph-theoretical measures provide translational markers of large-scale brain network disruption in human dementia patients and animal models of dementia
G Stothart, G Petkov, N Kazanina, M Goodfellow, L Tait, J Brown
International Journal of Psychophysiology 108, 71-71, 2016
22016
Multi-Scale Mathematical Modelling of Brain Networks in Alzheimer's Disease
L Tait
PQDT-UK & Ireland, 2019
12019
Substance P-botulinum mediates long-term silencing of pain pathways that can be re-instated with a second injection of the construct in mice
M Maiarù, C Leese, S Silva-Hucha, S Fontana-Giusti, L Tait, F Tamagnini, ...
The Journal of Pain, 2024
2024
Estimating the likelihood of epilepsy from clinically non-contributory EEG using computational analysis: A retrospective, multi-site case-control study
L Tait, LE Staniaszek, E Galizia, D Martin-Lopez, MC Walker, AAA Azeez, ...
medRxiv, 2023.03. 08.23286937, 2023
2023
MEG cortical microstates: Spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses
L Tait, J Zhang
NeuroImage 251, 119006, 2022
2022
Supplementary Material for “MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses”
L Tait, J Zhang
An Analysis of a Standard-Like String Model in the Free Fermionic Formuation
L Tait, A Faraggi
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Artículos 1–20