Researchers, from the MRC CBU, University of Cambridge, found that the part of the brain which interprets physical signals from the body behaves differently in people with a range of mental health disorders, suggesting that it could be a target for future treatments. The researchers studied ‘interoception’ – the ability to sense internal conditions in […]
BINGO!
Brain and Behaviour in Intellectual Disability of Genetic Origin (or BINGO for short) is a long-running research project to understand more about learning and mental health in young people affected by rare genetic disorders. Within BINGO, we focus on specific genetic diagnoses which affect how brain cells work, for example how signals are sent from […]
Resilience in Education and Development (RED)
In our Resilience in Education and Development (RED) project, we want to establish which factors help children flourish despite socio-economic disadvantage. We visit schools with our own iPad app, which assesses children’s cognition through multiple games, and incorporates multiple age-appropriate questionnaire. This app provides us with a detailed assessment of different cognitive skills, literacy, numeracy, […]
Teenagers at greatest risk of self-harming could be identified almost a decade earlier
Researchers from the MRC Cognition and Brain Sciences Unit, University of Cambridge, have identified two subgroups of adolescents who self-harm and have shown that it is possible to predict those individuals at greatest risk almost a decade before they begin self-harming. The researchers found that while sleep problems and low self-esteem were common risk […]
Simulating interactions between regions during semantic memory
The human ability to remember is not rooted in the activity of a single brain region. Rather, many regions contribute to memory, much like many different instruments contribute to an orchestra. And just as musicians must precisely coordinate their playing, so must brain regions dynamically interact to support functions like memory. But most previous studies […]
Using machine learning to predict behaviour from brain injury
In the search for the neural basis of behaviour, researchers tend to work backwards: they first collect data about a given characteristic, then search for brain imaging metrics that correlate with that measure. But recent developments in applied mathematics and neuroimaging have enabled researchers to adopt the opposite approach. By evaluating the importance of neural […]
A data-driven assessment of diagnoses of aphasia
When a patient suffering from brain damage struggles to speak or understand others speaking, she typically receives a diagnosis of primary progressive aphasia (PPA) or post-stroke aphasia (PSA). The label she is given depends on the cause of her brain damage: is it neurodegeneration or stroke? But while the underlying causes of PPA and PSA […]
A pioneering model of language resolves centuries-old contradictions
Communication lies at the heart of human life and society, and people who lose their ability to understand and produce language often suffer far-reaching difficulties. This condition, which typically arises through a brain injury like a stroke, is known as aphasia. Scientists began to study aphasic patients back in the 1800s, but because their explanations […]
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