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Found 8046 matches for
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.
Paediatric Neuroimaging
Our research focuses on human neonatal brain development. We undertake mechanistic research, clinical trials, methodology development (MRI, EEG and analytical approaches), with a particular focus on infant pain.
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.
Computational Neuroscience
We investigate anatomical organisation and cortical processing using computational models and techniques.
Neurovascular Imaging
We are collaborating with clinical colleagues to develop novel MRI acquisition and analysis methods that address the wide spectrum of cerebrovascular disease.
Ultra High-Field MRI Physics
We develop techniques and hardware on the Centre’s 7 Tesla MRI scanner to offer neuroscientists exciting new possibilities to image the structure, function and biochemistry of the human brain.
Microstructural Imaging
The fine-scale structure of brain tissue is crucial to neural function and health. We are developing MRI techniques that may enable non-invasive estimates of brain microstructure.
MR Spectroscopy
We develop methods for non-invasively measuring the molecular signatures of the brain in health and pathology.
FMRI Acquisition and Reconstruction
We develop image acquisition and reconstruction techniques for functional MRI. These methods aim to provide higher spatial and temporal resolution, as well as greater sensitivity to brain activity.
Translational Image Analysis Group
Our work focuses on translating imaging analysis methods to better understand processes such as brain maturation and ageing, with a particular emphasis on neurodegenerative disorders (Alzheimer's, Parkinson's, Huntington's, etc.), Big Data (e.g., UK Biobank) and genetics.
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.