SMQB & NCode - 6-month residency, University of Birmingham, UK.
Principal Investigator: Samuel Johnson | Co-Investigators: Enrico Amico, Andrew Bagshaw, Maria Dauvermann, Gustavo Deco, Morten L. Kringelbach and Wessel Woldman | Centre Fellow: Catherine Drysdale
Depression is a major mental health disorder which affects about one in twenty people. It can be treated, often through a combination of psychotherapy and medication, but not everyone responds well to every drug, so there is a great need for methods which would help us to guide treatment. We have data from a drug trial which compared the effects of a standard antidepressant with a natural hallucinogenic compound, including brain scans using functional magnetic resonance imaging (fMRI). In previous research we have transformed these images into networks representing the flow of information in the brain, and shown that the effect of each drug can be seen in changes to network structure. We now wish to build on this work by applying mathematical techniques (such as computing the pseudospectra) which can tell us how a system will respond to perturbations – for example, to a medicine. Our aim is to develop a way of helping clinicians and patients to decide which treatment would be best in each case. We also hope this work will improve our understanding of how different drugs affect our mental states, and open up new avenues of research for brain imaging to inform psychiatry.