Magnetic resonance imaging (MRI) scans provide lots of data on the health of a person’s brain, not all of which is routinely used in clinical practice. This project will continue the development of tools to assess the brain scans of people with stroke.
Stroke survivors and their relatives consistently ask for information about how much recovery can be expected. This study will look at how well a patient can use their arm after stroke, and at their brain images recorded within 72-hours after stroke. The hope is that brain images can improve our prediction of patient arm movement recovery at six months after stroke.
Torpor is a natural state of reduced energy use and body temperature. This research will look at the effect of torpor on brain activity and function, and the amount of brain damage caused by ischaemic stroke.
This fellowship will involve the study of the human eye to find out about the health of the brain’s small blood vessels and nerve connections in people who have recently had a stroke.
In a study published in the journal, The Lancet Neurology, scientists analysed data from more than 1,600 adults with cavernoma - a cluster of abnormal blood vessels in the brain - to generate estimates of risk. The findings could help both doctors and patients to make informed decisions about their treatment.
Intracerebral haemorrhage (ICH) is a type of stroke, which is caused by bleeding in the brain, ultimately leading to brain damage, disability and often death. We currently know very little about the biological changes that occur in the brain after intracerebral haemorrhage.
In stroke survivors, does the clinical effectiveness of 6 months treatment with fluoxetine depend upon its effects on synaptic plasticity in the brain? Can a drug used for depression help stroke recovery by changing connections between brain cells?
Techniques to predict - and in future prevent - brain haemorrhage in people treated with warfarin after stroke caused by atrial fibrillation
This research project aims to better understand how particular features of the CT scan can be used to make better treatment decisions for patients with ischaemic stroke, and whether we can accurately estimate the time since the stroke began.