Personal profile
Research Interests
My research uses neurophysiological and computational approaches to understand how brain state, uncertainty, and learning shape perception, cognition, and recovery across the lifespan. I primarily employ electroencephalography (EEG), psychophysics, computational modelling, brain–computer interfaces (BCIs), and non-invasive brain stimulation to address questions spanning basic, population, and translational neuroscience.
Current areas of focus include:
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The effect of anxiety and affective state on perceptual decision making, examined through predictive processing frameworks, psychophysics, drift-diffusion modelling, and EEG.
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Sleep, white-matter connectivity, and healthy cognitive ageing, using large population datasets from the UK and Ireland, alongside emerging sleep-focused intervention approaches.
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Neurorehabilitation following stroke, including the development and evaluation of portable EEG-based BCIs, motor-imagery paradigms, and neurofeedback approaches.
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Brain stimulation and neurofeedback (EEG- and TMS-based) as tools to probe plasticity, learning, and recovery.
Particulars
I am a Lecturer in Psychology with research spanning perceptual decision-making, sleep and cognitive ageing, and neurorehabilitation. My work sits at the intersection of computational modelling, electrophysiology, and non-invasive brain stimulation, with a particular focus on how brain state, uncertainty, and learning shape behaviour and recovery across the lifespan.
I currently supervise doctoral research across three interconnected themes:
(1) the influence of anxiety on perceptual decision-making within predictive processing frameworks;
(2) the relationship between sleep, white-matter connectivity, and healthy cognitive ageing using large population datasets from the UK and Ireland; and
(3) the development and evaluation of EEG-based brain–computer interfaces and neurofeedback approaches for stroke rehabilitation. Collectively, these projects reflect a programme-level interest in linking computational accounts of brain function with translational and clinically relevant outcomes.
My research is supported by external funding, including a current award from Northern Ireland Chest, Heart and Stroke focused on portable EEG-based BCIs for movement rehabilitation following stroke. I work closely with collaborators across psychology, neuroscience, and clinical research, and contribute methodological expertise in EEG, modelling, and experimental design to interdisciplinary projects, including those centred on sleep and ageing.
I completed my doctoral training in brain stimulation and motor systems plasticity at Trinity College Dublin and subsequently held a postdoctoral position there on a European Research Council–funded project examining the neural correlates of perceptual decision-making. Prior to returning to academia, I worked in senior analytical roles within government, leading high-impact research programmes with direct policy relevance. This experience continues to shape my approach to research leadership, reproducibility, and translational impact.
Teaching
PSY1013 Introduction to Psychology (Perception)
PSY2067 Group Project / Personal Tutor
PSY3114 Thesis Supervison
PSY3139 Neuropsychology
PSYC405 Behavioural Neuroscience Methods Dublin City University (guest lecturer)
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Collaborations and top research areas from the last five years
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A movement-independent signature of urgency during human perceptual decision making
McCone, H., Devine, C. A., McNickle, E., Dully, J., Geuzebroek, A. C., McGovern, D. P., Kelly, S. P. & O'Connell, R. G., 29 Jan 2026, (Early online date) In: The Journal of Neuroscience. e1445252025.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Downloads (Pure) -
Establishing a neural marker for inhibitory control during balance recovery
Bolton, D. A. E., Beethe, A. Z., Harper, S. A., McNickle, E., Whelan, R. & Ruddy, K. L., Jan 2026, In: Psychophysiology. 63, 1, 21 p., e70208.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)7 Downloads (Pure) -
Towards a reliable neural biomarker for predicting response to non-invasive brain stimulation in the treatment of depression
McNickle, E., Tadjine, L. & Ruddy, K., Apr 2024, In: Current Opinion in Behavioral Sciences. 56, 5 p., 101369.Research output: Contribution to journal › Review article › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)85 Downloads (Pure) -
A Bayesian approach to analysing cortico-cortical associative stimulation induced increases in the excitability of corticospinal projections in humans
Carson, R. G., Capozio, A., McNickle, E. & Sack, A. T., 23 Oct 2020, In: Experimental Brain Research. 239, 1, p. 21-30 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Link opens in a new tab Citations (Scopus)111 Downloads (Pure) -
Motor and evidence accumulation signals trace stimulus-response incongruity in the Simon Effect.
McNickle, E., Loughnane, G., McGovern, D., Kelly, S. & O'Connell, R., 05 Aug 2017.Research output: Contribution to conference › Poster › peer-review
Prizes
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Innovation in Teaching Award
Ruddy, K. (Recipient) & McNickle, E. (Recipient), 01 Nov 2024
Prize: Prize (including medals and awards)
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A Transferable Brain-Computer Interfacing based Status Monitoring System to Augment Motor Imagery based Neurorehabilitation
McNickle, E. (Examiner)
20 May 2026Activity: Examination types › PhD external examination
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Neuroscience Ireland Conference
McNickle, E. (Participant)
28 Aug 2025 → 29 Aug 2025Activity: Participating in or organising an event types › Participation in conference