A new paper by Dominik Krezeminski is published on Network Neuroscience. We extended an energy landscape method to quantify the occurrence probability of network states in resting-state MEG oscillatory, which was derived from a pairwise maximum entropy model (pMEM). The pMEM provided a good fit to the binarized MEG oscillatory power in both patients with juvenile myoclonic epilepsy (JME) and controls. Patients with JME exhibited fewer local minima of the energy and elevated energy values than controls, predominately in the fronto-parietal network across multiple frequency bands. Furthermore, multivariate features constructed from energy landscapes allowed significant single-patient classification. Our results highlighted the pMEM as a descriptive, generative, and predictive model for characterizing atypical functional network properties in brain disorders.

The paper is now available online.

Congratulations to Dr Szul on passing his PhD viva this week. Well done!

And we are enjoying a group Christmas dinner.

We welcome new students joinning us this semester. Emanuele Sicurella will work on individual structural-functional connectivity, Ruoguang Si will work inentional decisions, and Gabbie Portlock visits Cardiff for her rotation project on behavioural modelling.

This week we welcome Luke Tait to join us as a reserach associate. Luke will be working on the integration of multimodal imaging and computational modelling to understand cognitive processes.

A new paper by Maciej Szul and our collaborators is published on Behavior Research Methods. By comparing behavioural performance and cognitive model parameters, Maciej showed that joystick movements revealed comparable decision-making processes as conventional key presses in perceptual decision-making. The results pave the way for our further action-centric paradigms for decision making.

The paper is now available online.