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We investigate anatomical organisation and cortical processing using computational models and techniques.

Figure illustrates findings from the computational anatomy and decision making and learning groups
Figure illustrates findings from the computational anatomy and decision making and learning groups

We have two main research interests.The computational anatomy group studies the organisation of anatomical brain connections and how they relate to regional brain function. We principally use non-invasive diffusion MRI, often in combination with functional techniques or traditional tracing techniques. We also have a strong methodological focus. 

The learning and decision making group mostly investigates the role of frontal cortical mechanisms in controlling behaviour.  We use computational descriptions at the behavioural and network levels to form predictions, and test these in neurophysiological, neurochemical, and lesion data.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Our team

Recent publications

The alpha rhythm: from physiology to behavior.

Journal article

Jensen O. and Bonnefond M., (2026), Physiol Rev, 106, 1123 - 1159

Predicting Cognition and Affective Changes in Newly Diagnosed Parkinson's Disease Through Longitudinal Data-Driven Clustering.

Journal article

Ellul B. et al, (2026), J Geriatr Psychiatry Neurol, 39, 310 - 326

Asymmetric fiber orientation distribution estimation via unsupervised deep learning.

Journal article

Zhang D. et al, (2026), Med Image Anal, 110

The development of dynamic networks supporting attentional flexibility.

Journal article

Coleman SC. et al, (2026), Dev Cogn Neurosci, 78

Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-Analysis.

Journal article

Bas-Hoogendam JM. et al, (2026), J Am Acad Child Adolesc Psychiatry, 65, 577 - 604