Recent publications
Article
Gohil, C, Huang, R, Roberts, E, van Es, MWJ, Quinn, AJ, Vidaurre, D, Woolrich, MW & de Lange, FP 2024, 'osl-dynamics, a toolbox for modeling fast dynamic brain activity', eLife, vol. 12, RP91949. https://doi.org/10.7554/elife.91949
Tang, C-W, Zich, C, Quinn, AJ, Woolrich, MW, Juan, C-H & Stagg, CJ 2024, 'Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity', Brain Communications. https://doi.org/10.1093/braincomms/fcae011
Coleman, SC, Seedat, ZA, Pakenham, DO, Quinn, AJ, Brookes, MJ, Woolrich, MW & Mullinger, KJ 2024, 'Post‐task responses following working memory and movement are driven by transient spectral bursts with similar characteristics', Human Brain Mapping, vol. 45, no. 7, e26700. https://doi.org/10.1002/hbm.26700
Jafarian, A, Assem, MK, Kocagoncu, E, Lanskey, JH, Williams, R, Cheng, YJ, Quinn, AJ, Pitt, J, Raymont, V, Lowe, S, Singh, KD, Woolrich, M, Nobre, AC, Henson, RN, Friston, KJ & Rowe, JB 2024, 'Reliability of dynamic causal modelling of resting‐state magnetoencephalography', Human Brain Mapping, vol. 45, no. 10, e26782. https://doi.org/10.1002/hbm.26782
Bezsudnova, Y, Quinn, AJ, Wynn, SC & Jensen, O 2024, 'Spatiotemporal Properties of Common Semantic Categories for Words and Pictures', Journal of Cognitive Neuroscience, vol. 36, no. 8, pp. 1760-1769. https://doi.org/10.1162/jocn_a_02182
Quinn, AJ, Atkinson, LZ, Gohil, C, Kohl, O, Pitt, J, Zich, C, Nobre, AC & Woolrich, MW 2024, 'The GLM-spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling', Imaging Neuroscience, vol. 2, pp. 1-26. https://doi.org/10.1162/imag_a_00082
Seedat, ZA, Rier, L, Gascoyne, LE, Cook, H, Woolrich, MW, Quinn, AJ, Roberts, TPL, Furlong, PL, Armstrong, C, St Pier, K, Mullinger, KJ, Marsh, ED, Brookes, MJ & Gaetz, W 2023, 'Mapping Interictal activity in epilepsy using a hidden Markov model: a magnetoencephalography study', Human Brain Mapping, vol. 44, no. 1, pp. 66-81. https://doi.org/10.1002/hbm.26118
Zich, C, Quinn, AJ, Bonaiuto, JJ, O'Neill, G, Mardell, LC, Ward, NS & Bestmann, S 2023, 'Spatiotemporal organisation of human sensorimotor beta burst activity', eLife, vol. 12, e80160. https://doi.org/10.7554/eLife.80160
Lanskey, JH, Kocagoncu, E, Quinn, AJ, Cheng, Y-J, Karadag, M, Pitt, J, Lowe, S, Perkinton, M, Raymont, V, Singh, KD, Woolrich, M, Nobre, AC, Henson, RN & Rowe, JB 2022, 'New Therapeutics in Alzheimer’s Disease Longitudinal Cohort study (NTAD): study protocol', BMJ open, vol. 12, no. 12, e055135. https://doi.org/10.1136/bmjopen-2021-055135
Higgins, C, van Es, MWJ, Quinn, AJ, Vidaurre, D & Woolrich, MW 2022, 'The relationship between frequency content and representational dynamics in the decoding of neurophysiological data', NeuroImage, vol. 260, 119462. https://doi.org/10.1016/j.neuroimage.2022.119462
Echeverria-Altuna, I, Quinn, AJ, Zokaei, N, Woolrich, MW, Nobre, AC & van Ede, F 2022, 'Transient beta activity and cortico-muscular connectivity during sustained motor behaviour', Progress in neurobiology, vol. 214, 102281. https://doi.org/10.1016/j.pneurobio.2022.102281
Fabus, MS, Woolrich, MW, Warnaby, CW & Quinn, AJ 2022, 'Understanding harmonic structures through instantaneous frequency', IEEE Open Journal of Signal Processing, vol. 3, pp. 320-334. https://doi.org/10.1109/OJSP.2022.3198012
Fabus, MS, Quinn, AJ, Warnaby, CE & Woolrich, MW 2021, 'Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modes', Journal of Neurophysiology, vol. 126, no. 5, pp. 1670-1684. https://doi.org/10.1152/jn.00315.2021
Khawaldeh, S, Tinkhauser, G, Torrecillos, F, He, S, Foltynie, T, Limousin, P, Zrinzo, L, Oswal, A, Quinn, AJ, Vidaurre, D, Tan, H, Litvak, V, Kühn, A, Woolrich, M & Brown, P 2021, 'Balance between competing spectral states in subthalamic nucleus is linked to motor impairment in Parkinson's disease', Brain, vol. 145, no. 1, pp. 237-250. https://doi.org/10.1093/brain/awab264
Preprint
Quinn, AJ, Atkinson, LZ, Gohil, C, Kohl, O, Pitt, J, Zich, C, Nobre, AC & Woolrich, MW 2022 'The GLM-Spectrum: a multilevel framework for spectrum analysis with covariate and confound modelling' bioRxiv. https://doi.org/10.1101/2022.11.14.516449
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