Our methods
Our methods
Get Involved
Interested in participating in our research? Read the information below to find out which studies you can currently sign up to.
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Research with Neurotypical people
Neuroscience research with neurotypical adults
About the study. We are using brain imaging to study attention and cognitive control in adults.
Who can participate? Adults aged 18+, with normal (corrected) vision, who does not have a diagnosed developmental condition or history of brain injury. Some studies may require you to be right handed or to have English as a first language: we will contact you about studies that we believe you are eligible for.
What's involved? We use magnetoencephalography (MEG), electroencephalography (EEG), magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS) and/or computer tasks to measure brain activity as you listen to stories or perform cognitive tasks.
Where? 15 Chaucer road, Cambridge, CB2 7EF. Onsite parking is available.
When? Different time slots are provided at your convenience.
Duration? Between 1 and 3 hrs (varies between studies).
Payment. You will be paid at least £12 per hour for EEG/MEG/fMRI/TMS studies (£10/hour for purely behavioural testing), plus £4 towards your travel expenses. For studies involving brain imaging, we will also give you a picture of your brain!
Our research team. Prof. Alex Woolgar and team, MRC Cognition and Brain Sciences Unit, University of Cambridge.
More information about our studies, including how we store and use the data you give us, can be found here.
Questions? Send us a message: elizabeth.michael@mrc-cbu.cam.ac.uk
Research with autistic non-speakers
About the study. Using brain recording tools called magnetoencephalography (MEG) or electroencephalography (EEG), we will record from people's brains as they listen to an audiobook. We will use advanced machine learning to understand how each person processes different aspects of natural language, from speech sounds and individual words, through to meanings and grammar.
We hope this will give us a new method to quantify each individual non-speaker’s profile of strength and challenge in speech processing and a much more detailed understanding of speech comprehension in non-speaking autism than exists currently.