Cognitive Neuroscience

Ethan Knights

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Understanding brain representations of motor control

Our behavioural & brain imaging (fMRI, MEG) experiments aim to identify the neural mechanisms that govern human movement (think, reaching for your coffee) and clarify how they are affected by healthy ageing.

For this, we regularly apply machine learning & big-data approaches.
See latest representative examples.

The Action & Ageing initiative is led by Ethan Knights.
Ethan is currently based at the University of Cambridge acting as the Data Manager for the Cambridge Centre for Ageing and Neuroscience (Cam-CAN).

Interested & want to gain research experience?
Get in touch.

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Dedifferentation of motor cortex in healthy ageing

Using two lifespan fMRI datasets, we refuted the hypothesis that reduced motor lateralisation in older adults compensates for age-related decline. Instead, results demonstrate that this hyperactivation is non-specific, perhaps reflecting interhemispheric inhibition.
Journal of Neuroscience
(Open Access)


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How the Human Brain Grasps Tools

A grasping fMRI experiment tested which brain regions represented actions with 3D-printed kitchen tools, like a knife (video example). As covered by Nature, the results mark an important step toward uncovering which brain regions evolved to support tool-use, a defining feature of our species.
Journal of Neuroscience
(Open Access)


Medical Research Council Cognition and Brain Science Unit


15 Chaucer Road, Cambridge, UK