Fingerprints of brain dynamics estimated from neuroimaging data and application to discrimination between individuals, tasks and/or conditions

At the 26th Annual Computational Neuroscience Meeting this year in Antwerp (15 – 20 July 2017) I will be organising a workshop with my collaborator Matthieu Gilson from the Universitat Pompeu Fabra in Barcelona. During this workshop we will focus on brain dynamics and functional brain patterns or fingerprints and how we can apply such methods in individuals and tasks or conditions. This workshop will include talks by people such as Professor Karl Friston from UCL.

Workshop abstract

The functioning of the brain relies on detailed interactions between specialised neuronal subsystems, implementing joint segregation and integration of information such as sensory stimuli, memory tokens and intentions. Nowadays, neuroimaging techniques (fMRI, EEG, MEG, etc.) provide indirect measurements of the neuronal activity at the whole-brain level. Recent efforts have focused on extracting fingerprints of the measured brain dynamics to discriminate between tasks, conditions (e.g., sleep vs. awake) or individuals. For example, given a dynamic network model, whole-brain effective connectivity describes the interaction scheme between regions for each condition, which can be quantitatively compared. The goal of this workshop is to review both data-analysis methods and model-based approaches that have attacked this problem.

Please see the programme for the line up of speakers.