Neuroscience Ireland Annual Conference
GROUP LEADERS
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Analysis Methods: Computational Modelling, Machine Learning.
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Clinical Applications: Anxiety and Depressive Disorders, PTSD, Decision Making.
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Research Tools: fMRI, rsfMRI, Bayesian Modelling.
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Analysis Methods: Computational Modelling with Deep Learning.
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Clinical Applications: Neonatal development, neonatal brain injury.
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Research Tools: Magnetic Resonance Imaging: diffusion weighted and functional connectivity.
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Analysis Methods: Evoked potentials and Time-Frequency Analysis, Mediation Modelling, Voxel-Based Morphometry.
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Clinical Applications: Stroke, Ageing, Brain Injury, Alzheimer's Disease.
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Research Tools: EEG, structural MRI, Pharmacology, Pupillometry.
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Analysis Methods: Computational Modelling, Machine Learning, Network Analysis.
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Clinical Applications: Compulsion, Depression, Dementia, Transdiagnostic Psychiatry.
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Research Tools: Online Data Collection, Neureka App, EEG, Experience Sampling, Cognitive Testing, Treatment Studies.
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Analysis Methods: Multi-feature Machine Learning, Neural Networks, Natural Speech Analysis, SEM.
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Clinical Applications: Neurodegenerative Diseases (FTD, AD, MS, PD, Ataxia), Dimensional Approaches to Neurology.
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Research Tools: MRI, EEG, Social Cognition and Cognition, Interoception, Emotions, NIBS, Embodied Cognition.
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Analysis Methods: Brain Connectomics.
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Clinical Applications: Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder, Mood Disorders, Adolescent Mental Health.
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Research Tools: functional Magnetic Resonance Imaging, structural Magnetic Resonance Imaging.
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Analysis Methods: Multi-subject electroencephalography analysis, task-based EEG analysis.
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Clinical Applications: Social cognition, Sensory dysfunction, real-world electrophysiology.
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Research Tools: Mobile EEG, Hyperscanning, Unobtrusive EEG.
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Analysis Methods: Neural Decoding, Brain Network Connectivity, Inter-individual Synchronisation.
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Clinical Applications: Vegetative State, Disorders of Consciousness, Dementia, Stroke, Traumatic Brain Injury.
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Research Tools: fMRI, Cognitive Testing, Anaesthesia, Brain-Computer Interfaces.
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Analysis Methods: Computational Modelling, Neural Time Series, Neural Decoding.
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Clinical Applications: Ageing, Stroke, Attention-Deficit/Hyperactivity Disorder.
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Research Tools: Electroencephalography, functional magnetic resonance imaging, pupillometry, psychophysics.
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Analysis Methods: Epidemiology, Machine Learning, Information Theory, Latent Modelling.
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Clinical Applications: Network Physiology, Frailty and Resilience, Geriatrics and Gerontology, Dementia and Delirium.
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Research Tools: Longitudinal studies, Clinical Cohorts, Non-invasive Technologies for Continuous Physiological Measurement.
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Analysis Methods: Cost-effectiveness Analysis, Health Technology Assessment, Decision Analytic Modelling, Meta-analytic Techniques, Trial-based Economic Evaluation, Budget Impact Analysis, Applied Microeconometrics, Value of Information Analysis.
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Clinical Applications: Public Health, Dementia, Brain Health, Mental Health.
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Research Tools: Patient-reported Outcome Measures, Resource Use Data, Routinely Collected Administrative, Pragmatic Randomized Control Trials, National Reimbursement.
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Analysis Methods: Rest-state Activity, Coherence and Coupling, Evoked Potential and Time-Frequency Analysis, Machine Learning.
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Clinical Applications: Tinnitus, Pain, Memory related issues.
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Research Tools: EEG, fMRI, rsfMRI, tDCS, TMS, DBS.
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Analysis Methods: Machine learning, Computational Modelling.
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Clinical Applications: Attention Deficit Hyperactivity Disorder, Addiction, Ageing.
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Research Tools: Magnetic Resonance Imaging, Electroencephalography, Behavioural Testing.
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Analysis Methods: Computational Modeling, Network Analysis, Agent-based Modeling, Machine Learning.
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Clinical Applications: Collective Intelligence, Social Psychology, Collective Cognition.
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Research Tools: Big Data Analysis, Behavioural Experiments, Simulation.
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