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Neuroimaging Analysis for Clinical Translation
- Alzheimer's
- Brain function
- Brain imaging
- Dementia
- Evaluation
- Functional imaging
- Magnetic Resonance Imaging (MRI)
- Medical co-morbidity
- Medical imaging
- Neuroimaging
- Neuroscience
We develop neuroimaging analysis methods that support the translation of brain imaging into clinical practice. We focus on robust, interpretable tools that enable meaningful use of neuroimaging data for understanding, diagnosis, and monitoring of brain disorders.
Translational NeuroStimulation Laboratory
- Anxiety
- Behaviour
- Brain function
- Brain imaging
- Cognitive models
- Decision-making
- Depression
- Disorders
- Evidence based treatment
- Experimental
- Functional imaging
- Information processing
- Magnetic Resonance Imaging (MRI)
- Mood
- Neuroscience
- Psychological therapy
- Psychology
- Therapy
We aim to understand processes of selective attention and action, learning and memory in the human brain. Through experiments in healthy volunteers and patients with brain disorders we seek to characterize how information processing networks respond (adaptively or maladaptively) when challenged by interference. Our motivation is to develop rational neurocognitive intervention strategies to help promote recovery from conditions such as depression and brain injury.
Neuroscience, Ethics and Society
- Alzheimer's
- Child development
- Community Mental Health Services
- Neuroscience
- Parenting
- Prevention
- Psychosis
- Schizophrenia
We conduct independent ethics research and we deliver ethical guidance for a range of scientific and clinical studies in the Oxford Department of Psychiatry and Neuroscience. We also work with a variety of international institutions and researchers. Our core research interests involve young people, mental health and neuroscience innovations in a global context.
Computational Psychiatry
Using computer models of behaviour, we aim to better understand anxiety and depression, and to guide the development of novel treatments.
Computational and Molecular Neuroscience
The Computational and Molecular Neuroscience Research Group is a multidisciplinary laboratory specialized on the intersection of computational and molecular methods to study neurodegenerative diseases. The computational methods entail mainly Artificial Intelligence and Bioinformatics, while the molecular side brings state of the art multi-culture iPSC models of disease and high throughput screening. We are especially interested in Alzheimer's and Parkinson’s disease, and how we can use the computational and molecular methods mentioned above to find new drug targets and therapies. We have three main areas of activity: better understanding disease to identify new therapies; discovering biomarkers to enable preventative trials; and validating findings in advanced cell models of disease.
Translational Neuroimaging
- Alzheimer's
- Brain
- Brain function
- Brain imaging
- Clinical trial
- Cognitive models
- Cohorts
- Dementia
- Empirical
- Functional imaging
- Genetics
- Magnetic Resonance Imaging (MRI)
- Medical imaging
- Neuroimaging
- Neurology
- Neuroscience
- Parkinson's
- Risk factors
- Whitehall Study
Neuroimaging provides a window into the living brain, and is an increasingly vital experimental medicine tool for neuro-psychiatric disease. With a particular focus on early and pre-clinical disease, we explore how the brain changes before symptoms take hold.
Psychopharmacology and Emotion Research Laboratory (PERL)
- Anxiety
- Behaviour
- Behavioural models
- Bipolar
- Brain
- Brain function
- Brain imaging
- Cognitive
- Cognitive models
- Depression
- Experimental
- Functional imaging
- Mental illness
- Neuroimaging
- Neuroscience
- Psychology
- Treatment
We explore how the brain processes emotional information and how this is influenced by brain chemicals and medicines. This helps us to understand disorders such as depression and anxiety and to understand and contribute to the development of drug and psychological treatments.
Neurobiology and Experimental Therapeutics
We are dedicated to testing and developing new ways of improving treatments for psychiatric disorders, and maintaining brain health during aging. A significant proportion of people suffering from disturbances of mood and memory, do not respond to the available medication, and so there is an urgency to supplement or provide an alternative to current therapies.
