Dr Andrew Quinn BSc MSc PhD

Dr Andrew Quinn

School of Psychology
Assistant Professor in Psychology

Dr Andrew Quinn works on time-series analysis methods and software for quantifying oscillations in electrophysiological time series. He applies these methods to research questions around visual and auditory perception and how brain function changes across the lifespan and in neurodegenerative disorders.

Qualifications

Bsc Psychology - University of York 2010

MSc Cognitive Neuroscience - University of York 2011

PhD Psychology - University of York 2014

Biography

Dr Andrew Quinn completed his PhD in 2014 at the University of York developing methods for estimating time-varying functional connectivity during visual word recognition from Magnetoencephalography data. He then worked as a postdoctoral scientist at the Oxford Centre for Human Brain Activity (OHBA) where he developed a range of novel time series analysis techniques targeted at analysis of brain changes in neurodegenerative disorders.

Dr Quinn started as an Assistant Professor at the University of Birmingham in 2022. His research continues to explore novel analysis of electrophysiological time series in the context of visual and auditory perception, as well as changes in brain function across the lifespan and into neurodegeneration.

Teaching

Research Methods B; Introduction to Data Science

Research

Electrophysiology (EEG, MEG, OPMs); Neuronal Oscillations; Connectivity; Networks; Perception; Statistics; Software Development.

Publications

Recent publications

Article

Lanskey, JH, Jafarian, A, Karadag, M, Kocagoncu, E, Williams, RS, Yadav, P, Quinn, AJ, Pitt, J, Thayanandan, T, Lowe, S, Perkinton, M, Timmers, M, Raymont, V, Singh, KD, Woolrich, M, Nobre, AC, Henson, RN & Rowe, JB 2025, 'Alzheimer's disease and its progression reduce pyramidal cell gain and connectivity', Alzheimer's & Dementia, vol. 21, no. 10, e70805. https://doi.org/10.1002/alz.70805

Kohl, O, Gohil, C, Zokaei, N, Hu, MTM, Nobre, AC, Woolrich, M & Quinn, A 2025, 'Changes in sensorimotor network dynamics in resting-state recordings in Parkinson’s disease', Brain Communications, vol. 7, no. 4, fcaf282. https://doi.org/10.1093/braincomms/fcaf282

Morelli, M, Dudzikowska, K, Deelchand, DK, Quinn, AJ, Mullins, PG, Apps, MAJ & Wilson, M 2025, 'Functional magnetic resonance spectroscopy of prolonged motor activation using conventional and spectral GLM analyses', Imaging Neuroscience, vol. 3, imag_a_00452. https://doi.org/10.1162/imag_a_00452

Zich, C, Nowak, M, Hinson, EL, Lasbareilles, C, Mancini, V, Pogosyan, A, Puicar, O, Grigoras, IF, Cambalova, P, Scholl, J, Josephs, L, Quinn, AJ, Woolrich, MW & Stagg, CJ 2025, 'Human motor cortical gamma activity relates to GABAergic intracortical inhibition and motor learning', Imaging Neuroscience, vol. 3, imag_a_00538. https://doi.org/10.1162/imag_a_00538

van Es, MWJ, Higgins, C, Gohil, C, Quinn, AJ, Vidaurre, D & Woolrich, MW 2025, 'Large-scale cortical functional networks are organized in structured cycles', Nature Neuroscience, vol. 28, no. 10, pp. 2118-2128. https://doi.org/10.1038/s41593-025-02052-8

Jafarian, A, Assem, MK, Kocagoncu, E, Lanskey, JH, Fye, H, Williams, R, Quinn, AJ, Pitt, J, Raymont, V, Lowe, S, Singh, KD, Woolrich, M, Nobre, AC, Henson, RN, Friston, KJ & Rowe, JB 2025, 'Neurophysiological Progression in Alzheimer's Disease: Insights From Dynamic Causal Modelling of Longitudinal Magnetoencephalography', Human Brain Mapping, vol. 46, no. 8, e70234. https://doi.org/10.1002/hbm.70234

van Es, MWJ, Gohil, C, Quinn, AJ & Woolrich, MW 2025, 'osl-ephys: a Python toolbox for the analysis of electrophysiology data', Frontiers in Neuroscience, vol. 19, 1522675. https://doi.org/10.3389/fnins.2025.1522675

Zich, C, Ward, NS, Forss, N, Bestmann, S, Quinn, AJ, Karhunen, E & Laaksonen, K 2025, 'Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery', NeuroImage: Clinical, vol. 45, 103754. https://doi.org/10.1016/j.nicl.2025.103754

Gohil, C, Kohl, O, Huang, R, van Es, MWJ, Parker Jones, O, Hunt, LT, Quinn, AJ & Woolrich, MW 2024, 'Dynamic network analysis of electrophysiological task data', Imaging Neuroscience, vol. 2, imag-2-00226. https://doi.org/10.1162/imag_a_00226

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

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