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.
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)
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)