Active Brain & Nervous System Psychology & Behaviour

How the human brain supports language in different ways

In plain English

AI plain-English summary

A stroke patient’s ability to regain speech depends on which parts of their brain are still intact and whether other regions can learn to take over—but no one has yet built a complete map of how that happens. This project tackles a fundamental gap in neurology: we know that some people recover language after a stroke while others do not, but we do not understand the full range of neural systems that can support language, or what determines whether a patient’s brain actually uses them. The researcher will study hundreds of patients in the first weeks and months after stroke, using fMRI to track which brain regions activate during 13 different language tasks, and combining that with anatomical scans to measure tissue changes—such as iron levels and neuronal density—in and around the damaged area. They will also examine non-lesion factors like cognitive impairments, mental health, and clinical interventions. If successful, this work will produce a neurological model of language recovery that could help clinicians predict which patients are most likely to benefit from specific therapies, and when. The research is fundamental science—it aims to understand how the brain reorganises itself—but a clearer picture of recovery pathways could eventually guide more targeted rehabilitation for the roughly one-third of stroke survivors who experience aphasia.

View original technical description
My ambition is to generate a neurological model that incorporates the many different ways that the brain can support language functions. Recovery from aphasia will then be formulated in terms of: (A) the availability of brain structures that could learn to support a lost function; and (B) factors that determine whether of not patients engage these structures. In three work-packages, I will study very large samples of patients recovering from aphasia in the first weeks and months post-stroke. (1) Task-based fMRI will identify the neural systems supporting each of 13 language tasks in patients who have damage to different parts of the normal language system. (2) Anatomical MRI, with biophysical modelling, will investigate changes in tissue microstructure (e.g. iron levels, free water and neuronal density) and ask whether these changes occur in peri-lesional tissue and/or the neural systems observed with fMRI. (3) The multiple non-lesion factors affecting early recovery (e.g. co-occurring cognitive impairments, clinical interventions, physical and mental health) will be investigated, controlling for lesion-site. The neural systems identified in Work-package 1 will be incorporated into neurological models of language. Work-packages 2 and 3 will identify the factors that influence whether or not these systems are engaged during recovery.

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Researchers

Catherine Price (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Towards a new neurological model of language that explains outcome after stroke.
Neural compensatory mechanisms that underpin retention and recovery of language function post stroke
Predicting language outcome and recovery after stroke.
Explaining Language Outcome and Recovery After Stroke (ELORAS)
Mechanisms underlying spoken language production: facilitating frontal brain networks following aphasic stroke. .

Original classification

Principal Research Fellowship Renewal

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