We are using state-of-the-art neuroimaging technologies to help us understand complex neurophysiological processes in health and disease, spanning levels of detail from individual cells to whole brain and behaviour. Our neuroinformatics research includes strengths in computational and systems neuroscience, and expertise in developing new methods for acquiring, synthesising and interpreting neuroscience data across our research themes.
Sagittal MRI scan of human brain
Our preclinical neuroimaging research uses a wide range of state-of-the-art technologies to visualise brain structure and function at a level of detail not possible in human subjects or patient populations. Our principle research areas include:
- Neurovascular Function and Dysfunction – how are brain blood flow changes coupled to neuronal activity and changing metabolism?
- Neuroimaging in Cardiovascular Disease (NICAD Network) – our translational cross disciplinary network of cardiovascular scientists and neuroscientists.
- Neurophysiological Basis of BOLD fMRI – we are investigating what functional brain imaging signals really tell us about changes in brain (neuronal) activity.
- Neuroimaging in Neurodegenerative Disease – we are investigating how neuroimaging tools might aid in disease diagnosis, staging and treatment evaluation.
- Pharmacological Neuroimaging Research – advancing the application of non-invasive neuroimaging techniques for neuropharmacological and drug-discovery research.
Mouse cerebral cortex with fluorescent dye highlighting vasculature
Human and Clinical Neuroimaging
With access to some unique clinical populations and a wide range of imaging modalities available, we are shedding light on normal brain function, addressing key questions in cognitive neuroscience, and investigating the changes that occur in a wide range of brain diseases.
- Neuroradiology and Clinical MRI – this includes our 3T and 1.5T research MRI systems and a diverse portfoilio of research into CNS disorders including ALS, dementia and neurodegenerative diseases, epilepsy, ataxia.
- Polarised Imaging Systems – advanced neuroimaging using hyperpolarised gases, in association with the University of Sheffield Pulmonary MR imaging Group (POLARIS)
- The EEG Research Group addresses a wide range of questions in cognitive psychology and cognitive neuroscience using state of the art electroencephalography systems
- The Sheffield Autism Research Laboratory (ShARL) has an internationally renowned reputation in autism research which incorporates cognitive, psychophysical and EEG research tools
- The Developmental Affective Neuroscience Laboratory brings together EEG and fMRI techniques to investigate the development of emotion and emotion regulation in the brain
- The Translational Neuropsychology Group conducts research on the neuroscientific, clinical and behavioural aspects of neurodegenerative and neurological disorders
White matter pathways of the human brain revealed by diffusion tensor imaging
Neuroinformatics and Computational Neuroscience
The University of Sheffield has a strong track record in the use of computational and systems neuroscience approaches to understand how the brain functions. Our computational neuroscience research has close ties with Sheffield Robotics, a national leader in robotics research. In addition many of our researchers are active members of The INSIGNEO Institute for in silico Medicine, a major cross-disciplinary initiative involving academic & clinical staff who collaborate to develop computer simulations of the human body and its disease processes.
- The Adaptive Behaviour Research Group (ABRG) and the Computational Neuroscience of Action Control laboratory undertake computational modelling of basal ganglia, decision making and cognitive robotics research.
- The Basal Ganglia Systems Neuroscience Group uses approaches ranging from cellular recording in the brain slice to fMRI studies in human subjects to understand basal ganglia function and dysfunction.
- The Active Touch Laboratory uses behavioural, computational modelling and robotics approaches to investigate tactile sensing in animals, people and intelligent machines.
- Research in the Department for Automatic Control and Systems Engineering including the Fruit Fly Observatory, an international collaborative project to simulate a complete model of the fruit fly brain
Our neuroinformatics research connects to the computational biology, bioinformatics and machine learning strengths under the Translational Neuroscience theme, as well as to the Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB).