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Computational Neurology
Our group applies computational models to study changes in motivation, memory and decision-making that occur in neurological disease. We combine behavioural, neuroimaging, and pharmacological experiments to apply mathematical models to clinical problems.
Experimental and Clinical Sleep Medicine
The Experimental and Clinical Sleep Medicine group is jointly led by Professor Colin Espie and Professor Simon Kyle. Our research aims to 1) elucidate the mechanisms underpinning chronic sleep disruption; 2) understand the role of sleep disruption in driving adverse health outcomes; and 3) develop interventions to treat sleep and circadian rhythm disruption. We conduct human experimental and clinical studies on sleep and disorders of sleep. Our research programme is supported by the National Institute of Health Research through the Oxford Biomedical Research Centre, Health Technology Assessment Programme, and Efficacy and Mechanisms Evaluation Programme, and the Dr. Mortimer and Theresa Sackler Foundation, amongst others.
Oxford Centre for Neuroinflammation
We bring together biomedical, analytical and clinical expertise to shed new light on the causes that underpin neurodegenerative diseases.
Translational Molecular Neuroscience Group
Drug discovery in neuroscience is very challenging but the need is greater than ever. Perhaps the most important factor for successfully developing an effective therapy, is the identification of human disease relevant drug targets. Our group aims to elucidate the pathophysiological basis of human neurological disorders from genetic molecular networks to complex neural systems using human genetics, human models and human tissue wherever possible.
Oxford Subarachnoid Haemorrhage Research Group
Our group aims to achieve a better understanding of what happens in the brains of patients who have just had a subarachnoid haemorrhage, which is a type of stroke.
Large Artery Disease
CPSD runs several research studies looking into the causes, investigation, and management of large artery atherosclerosis, carotid stenosis, vertebral artery disease and intracranial atherosclerosis.
OPTIMA
The Oxford Project to Investigate Memory and Ageing (OPTIMA) started in 1988 and the last LEAD participants were seen in March 2015. We are no longer recruiting to any of the cohorts. However, we are currently creating the OPTIMA Legacy Resource from which data collected from the OPTIMA cohorts is available and samples are biobanked and available. Brain tissue is available as part of the Brains For Dementia Research (BDR) collection.
Oxford Vascular Study
The Oxford Vascular Study (OxVasc) investigates vascular diseases (e.g. strokes, heart attacks) in patients registered with eight general practices in Oxfordshire. We run a rapid-access clinic for patients with suspected Transient Ischaemic Attacks (TIAs) or minor strokes. All OxVasc clinics held in the Wolfson Centre for the Prevention of Stroke and Dementia follow Oxford University Hospitals NHS Foundation Trust infection control guidelines.
pain & mind
Beliefs shape our perception of pain. Using non-invasive magnetic resonance imaging in humans, we investigate how beliefs are generated, maintained and revised in the brain and how they influence pain perception.
NeuroMetrology Lab
Developing methods to accurately and objectively measure neurological disorders such as Parkinson’s Disease and Progressive Supranuclear Palsy.
Translational Neuropathology Group
We study why certain neuronal populations are vulnerable to neurodegeneration and whether pathological changes seen in the peripheral tissues mirror or precede what is ultimately seen in the brain, and how this can be used to develop biomarkers.
Glioma Neurosurgery Research Group
Our research aims to understand the characteristics of individual brain tumours, combining cutting edge brain imaging, molecular neuropathology and neurosurgical techniques to develop personalized approaches for first-line cancer surgery.
Emerging Technologies for Analysis of the Brain (ETA) Research Group
The Emerging Technologies for Analysis of the Brain (ETA) Research Group is a multidisciplinary team leveraging emerging technologies across neuropathology, neuroimmunology, neurodegeneration, neuro-oncology, and molecular genetics to drive innovative insights into brain health and diseases.
Big Data, Imaging Genetics and Statistics
In this research area novel methodological approaches are developed for working with extremely large databases of MR images, or images and genetics, and the complex statistics required in neuroimaging.
FMRIB P.A.I.N Group
The Pain Analgesia/Anaesthesia Imaging Neuroscience group is a multidisciplinary team of scientists and clinicians. We research how the human central nervous system generates and modulates painful experiences in acute and chronic settings.
Physiological Neuroimaging Group
Our group uses multimodal approaches to understand physiological changes in the brain, both in the context of learning novel motor skills and in a range of neurological conditions. To do this we use MR Spectroscopy, MR Imaging, Magnetoencephalography (MEG) and Non-Invasive Brain Stimulation. Ultimately we hope to understand more about how the brain adapts to new challenges, so that we can develop new adjunctive therapies for recovery.
Models of Brain Decision Networks
Our group uses computer simulations and mathematical analyses to understand the information processing and activity dynamics of brain networks underlying decision making. We use these models to investigate how neural circuits work in the healthy state, how their dynamics deteriorate in neurological disorders, and how their dynamics and information processing may be best restored by treatments.