Using theoretical neurobiology to understand neurological disease
Project leader: Dr Thomas Parr, Academic Clinical Fellow
Thomas’ research uses methods from theoretical neurobiology to understand symptoms and signs of neurological disease – particularly cognitive disorders seen in neurodegenerative conditions. This builds upon his previous work using a framework known as Active Inference (Parr et al., 2022) to model disorders of decision-making and movement (Parr & Friston, 2018).
Much of Thomas’ PhD focused upon modelling the contribution of action to visual perception. This involved modelling saccadic sampling patterns, disorders of which one might observe in visual neglect syndromes (Parr & Friston, 2017). He used a combination of functional imaging and eye tracking to test hypotheses about brain connectivity arising from this modelling (Parr et al., 2019).
Ongoing research themes
An ongoing theme of Thomas' work is the interaction between decision-making and the execution of those decisions (Parr et al., 2021). Key to this is the brain’s ability to segment time into a series of events, so that we can select between different sequences of actions. Thomas recently investigated how we might understand arrhythmokinesis, that emerges in Parkinson’s disease during repetitive movements, as a breakdown in the brain’s internal clock (Parr et al., 2025).
A second theme Thomas is interested in is phenotyping of patients in heterogenous diagnostic groups for a personalised understanding of individual patients’ conditions. He is involved in an international collaborative project looking to use this sort of computational phenotyping to answer questions about effortful decision-making (Parr et al., 2023).
Ultimately, Thomas’ research seeks to contribute to our understanding of the pathologies of neuronal computation that underwrite neurological disease.
June 2025