Completed Brain & Nervous System Heart, Stroke & Blood

Structural brain changes with learning and recovery from stroke.

In plain English

AI plain-English summary

Learning to juggle can physically rewire the white matter pathways in an adult human brain—and this project will use that finding to understand how the brain repairs itself after a stroke. Most studies of brain plasticity have focused on grey matter, the tissue where neurons cluster. But the researchers recently discovered that learning also changes the microstructure of white matter, the brain’s long-distance communication cables. The problem is that current brain scans can detect these changes but cannot explain what is happening at the cellular level. Without that understanding, doctors cannot design therapies that reliably promote recovery after stroke or brain injury. This project has two parallel tracks. In humans, the team will track how white and grey matter change over time during learning, and whether age alters that plasticity. In rats, they will perform the same scans and then examine the brain tissue under a microscope, linking the imaging signals to specific cellular events—such as myelin wrapping or axon sprouting. If successful, the work will give clinicians a biological target for stroke rehabilitation: a measurable, cell-level change to aim for. For the wider imaging community, it will reveal what structural brain scans actually mean, turning a fuzzy signal into a precise diagnostic tool.

View original technical description
The adult brain shows dynamic structural changes with learning and with recovery from damage. Studies in animals are able to characterise such changes with exquisite detail. The vast majority of these studies have focussed on changes occurring in grey matter. We recently provided evidence for learning-related change in the microstructure of white matter pathways of the adult human brain. However, the measures provided by neuroimaging are relatively crude and non-specific and, thus far, have no t been related to specific underlying cellular mechanisms. The current proposal has two main aims: First, to investigate the functional and clinical significance, timecourse, and age-dependence of experience-dependent white matter and grey matter change. Second, to carry out parallel neuroimaging and histological studies in rodents in order to determine mechanisms underlying change detected on imaging. The results of the animal studies will be relevant not only to those with an interest in plas ticity but also to the wider imaging community, as they will shed light on the anatomical basis of structural imaging measures.

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Researchers

Heidi Johansen-Berg (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

The nature and role of structural changes underlying experience-dependent plasticity in visual cortex
Molecular and structural determinants of plasticity in the cerebral cortex
Longitudinal assessment of healthy brain structure and function across the lifespan using 9.4T Magnetic Resonance Imaging
Neural compensatory mechanisms that underpin retention and recovery of language function post stroke
Longitudinal changes in motor system connectivity after stroke.

Original classification

Senior Research Fellowship Basic

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