A new paper led by Ruoguang Si is published on Neuroimage. This meta-analysis study identified 35 fMRI/PET experiments using various free-choice paradigms, in which participants choose among options with identical values or outcomes.

An Activation Likelihood Estimate (ALE) meta-analysis showed that, compared with external instructions, intentional decisions consistently activate the medial and dorsolateral prefrontal cortex, the left insula and the inferior parietal lobule. We then categorized the studies into four different types according to their experimental designs: reactive motor intention, perceptual intention, inhibitory intention, and cognitive intention. We conducted conjunction and contrast meta-analyses to identify consistent and selective spatial convergence of brain activation within each specific category of intentional decision. Finally, we used meta-analytic decoding to probe cognitive processes underlying free choices. Our findings suggest that the neurocognitive process underlying intentional decision incorporates anatomically separated components subserving distinct cognitive and computational roles.

The paper is now available online.

A new paper led by Luke Tait is published on Human Brain mapping. This study systematically evaluated the performance of six commonly-used source reconstruction algorithms. Using human resting-state MEG, we compared the algorithms using quantitative metrics, including resolution properties of inverse solutions and explained variance in sensor-level data. Next, we proposed a data-driven approach to reduce the atlas from the Human Connectome Project’s multi-modal parcellation of the human cortex based on metrics such as MEG signal-to-noise-ratio and resting-state functional connectivity gradients. This procedure produced a reduced cortical atlas with 230 regions, optimized to match the spatial resolution and the rank of MEG data from the current generation of MEG scanners.

Our results show that there is no “one size fits all” algorithm, and make recommendations on the appropriate algorithms depending on the data and aimed analyses. Our comprehensive comparisons and recommendations can serve as a guide for choosing appropriate methodologies in future studies of resting-state MEG.

The paper is now available online.

Wojciech Zajkowski passed his viva last month. Big congratulations and we wish Wojciech all the best in his new reserach fellow position.

Thin month we welcome a new member Nikolay Petrov. Nikolay will work on our internet-based behavioural experiments.

Also, some lab members are finally able to catch up face-to-face after over 15 months of COVID restrictions.

A new paper led by Marinho Lopes is published on Clinical Neurophysiology. The study applied the brain network ictogenicity framework to quantify the inherent propensity to generate seizures from resting-state MEG recordings. We found that resting-state MEG functional networks from people with epilepsy are characterized by a higher propensity to generate seizures than those from healthy volunteers, with a classification accuracy of 73%. This sensitive computational modelling approach could in future aid diagnosis.

The paper is now available online.

We carry on our research while everyone has adapted to work from home. Dominik has passed his PhD viva, a big achievement in a challenging year. Big congratulations Dr Krzeminski! Luke has started his new job at the University of Birmingham while maintains our close collaborations on several ongoing projects. We really appreciate their important contributions in the last few years and wish them all the best in their future careers.

A 'zoom' leaving do for Luke