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

Organizers: Matthieu Gilson (Univ Pompeu Fabra, Barcelona, Spain) and Tim van Hartevelt (Oxford U, UK)

CNS 2017 in Antwerp (Belgium)
19 July 2017

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.


Presentation time: 30 minutes per speaker (including questions)