Our methods

Concurrent TMS-fMRI

We are currently setting up a new TMS-fMRI system at the CBU, using an MR compatible TMS system combined with two MR surface coils. These are placed between the TMS coil and the participant’s scalp, therefore resolving the common problem of reduced signal directly beneath the TMS coil. We hope to use the increased signal recorded from the stimulated area to investigate the direct effects of TMS on the brain during different tasks and stimulation protocols.

Key publications: Jackson 2020

Key projects: 

 
Decoding of decision making

We explore the extent to which features of multivariate pattern analysis classifiers, or ‘decoding models’, reflect latent variables in the brain during perceptual decision-making tasks. For example, classifier hyperplanes and cognitive decision boundaries, or classification accuracy and perceptual certainty. These relationships predict choice behaviour and as such, we are able to identify neural activity that is appropriately formatted for the brain to use in guiding behaviour.

Key Publications: Tomassini et al. 2019

Key Projects:

Information flow analysis

We have developed a new information flow analysis (IFA) method that allows us to track the exchange of information between brain regions (Goddard et al., 2016). Further developments will use the IFA methods to study not only whether and when information is exchanged but also what that information is, and the relationship between information exchange and standard connectivity metrics (e.g., phase synchrony).

Key Publications: Goddard 2016, 2019

Key Projects:

 
 
Comparison of EEG systems

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Errors analysis

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Key publications:

Key projects: 

 
MRC Cognition and Brain Sciences Unit
School of Clinical Medicine
University of Cambridge

© 2020 Woolgar Lab