Dr Caroline Nettekoven

Interests

I use network analysis and graph theory to study the role of incoherent language in psychotic disorders.

During my PhD at the University of Oxford, I investigated the neural basis of motor adaptation using multimodal imaging, brain stimulation and behavioural modelling. My experiments showed plastic changes in cerebellar network connectivity and the wider motor network that were behaviourally relevant. Through this, I became interested in dissecting human behaviour into its underlying computations and relating those computations to changes in a network of brain regions that are involved in the behaviour.

In my postdoctoral research at the Brain Mapping Unit in Cambridge and the Alan Turing Institute in London, I apply natural language processing tools and graph theoretical approaches to data from people with mental health conditions, with the aim of predicting diagnosis and clinical outcome and understanding the neural basis of mental health disorders.

Twitter: @carobellum

Research Focus

Equipment

Behavioural analysis

Computational modelling

Electroencephalography (EEG)

Magnetic resonance imaging (MRI)

Magnetic Resonance Spectroscopy (MRS, MRSI)

Neuropsychological testing

Non-invasive brain stimulation (TDCS)

Randomised control trials