Mu suppression and the 'broken' mirror neuron system
Context
Mirror neurons have been an exciting but much-debated topic in social cognitive neuroscience. In the field of autism, it has been argued that a 'broken' mirror neuron system could underlie the social and communication problems seen in autistic people. But how do we measure mirror neuron system activity? Are our measures robust? And does the evidence add up to support the broken mirror view?
The research
We tested neurophysiological measures that have been argued to tap into the activity of the human mirror neuron system. Mu suppression has been argued to reflect sensorimotor activity, including activity when viewing the actions of others. Using a registered report, we tested the notion that mu suppression was confounded by broad attentional factors, a key issue for research using mu suppression to suggest a 'broken' mirror system in autism. In addition, our reviews highlight that evidence does not add up to support the traditional 'broken mirror' view of autism.
Featured publications
- Continuing to look in the mirror: A review of neuroscientific evidence for the broken mirror hypothesis, EP-M model and STORM model of autism spectrum conditions
- Mu suppression – A good measure of the human mirror neuron system?
- The interpretation of mu suppression as an index of mirror neuron activity: past, present and future
Contact us
York Neuroimaging Centre
Co-directors Aidan Horner and Beth Jefferies, Department of Psychology
reception@ynic.york.ac.uk
+44 (0)1904 325940
York Neuroimaging Centre,
The Biocentre,
York Science Park,
Heslington,
York
YO10 5NY
@@UOY_YNiC
Featured researcher
Hannah Hobson
Dr Hobson's research considers language and communication problems and imitation abilities and neural systems that underlie imitation.
Contact us
York Neuroimaging Centre
Co-directors Aidan Horner and Beth Jefferies, Department of Psychology
reception@ynic.york.ac.uk
+44 (0)1904 325940
York Neuroimaging Centre,
The Biocentre,
York Science Park,
Heslington,
York
YO10 5NY
@@UOY_YNiC