The development of connectome-based predictive models of behavioral phenotype has more recently opened new perspectives for understanding brain-behavior relationships in basic neuroscience, but also for precision medicine. However, the insight provided by the machine learning models and the further deployment of these approaches are conditioned by their generalizability. In our recent work, we...
The brain forms a highly interconnected network or connectome that can nowadays be mapped in ever-increasing detail thanks to the improvement of the resolution of imaging techniques and reconstruction methods. However, the structural mapping does not always correspond to the functional mapping, estimated by means of functional or effective connectivity. Functional connectivity is dynamic and...
Finding precise signatures of different brain states is a central, unsolved question in neuroscience. The difference in brain state can be described as differences in the detailed causal interactions found in the underlying intrinsic brain dynamics. We use a thermodynamics framework to quantify the breaking of the detailed balance captured by the level of asymmetry in temporal processing, i.e....
