Getting the most from brain MRI scans: new and better measures of brain health in stroke
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. The outcome of this research should produce methods that can predict how patients will fare after a stroke, helping doctors to decide the best treatments and improve outcomes.
New research suggests brain scans could help predict brain bleed risk in patients on anticoagulant drugs.
The CROMIS-2 study investigated whether signs of small brain bleeds on routine brain scans can help us understand which ischaemic stroke patients with atrial fibrillation are at increased risk of a bleed in the brain when on anticoagulant ‘blood thinning’ drugs.
Small Vessel Disease - Spotlight on Symptoms: using brain scans to find out which symptoms are linked to small vessel disease
This project is part of a larger on-going study into Small Vessel Disease (SVD) after stroke. It will allow the researchers to invite some of the participants in this project back for more frequent brain scans and tests to help them to understand more about SVD after stroke.
Can automated stroke diagnosis help to reduce its effects?
The researchers test an AI software to understand if it should be used for diagnosis of stroke in hospitals.
Can we predict who will respond to language therapy after stroke?
Published in the JNNP (Journal of Neurology, Neurosurgery and Psychiatry), new research suggests that a computer technique could help predict how well stroke survivors respond to language therapies for aphasia.
Making artificial intelligence work for stroke rehabilitation
Margarita Saranti is using the power of artificial intelligence to improve how we predict recovery and personalise aphasia treatment after stroke.
How can we maximise a brain bank resource to help small vessel disease?
The aim of this research programme is to develop a human brain bank to support biomedical research into the pathophysiology of human SVD that may be used nationally and internationally.