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.

Schedule:

• 9.00am: presentation of the workshop (Matthieu and Tim)
• 9.15am: Tim van Hartevelt (Oxford U, UK) replacing Henrique Fernandes (U Aarhus, Denmark):
  Brain fingerprints of structural connectivity in health and disease
• 9.45am: Dante Mantini (KU Leuven, Belgium):
  Detecting large-scale brain networks using high-density electroencephalography
• 10.15am: coffee break (45 min)
• 11.00am: Demian Battaglia (INSERM, Marseille, France):
  Functional connectivity dynamics descriptors as fingerprints of cognitive aging
• 11.30am: Emily Finn (NIMH, Bethesda, USA):
  Can we manipulate brain state to emphasize individual differences in functional connectivity?
• 12.00pm: lunch
• 2.00pm: Joana Cabral (Oxford U, UK):
  Spontaneous switching between states of functional connectivity relates to cognitive performance in healthy older adults
• 2.30pm: Thomas Bolton (EPFL, Lausanne, Switzerland):
  Shedding light on resting-state dynamic functional network interactions by sparse coupled hidden Markov models
• 3.00pm: Karl Friston (UCL, London, UK):
  Dynamic causal modelling and network discovery
• 3.30pm: coffee break (30 min)
• 4.00am: Anish Mitra (U Washington, St Louis, USA):
  Structured temporal sequences in spontaneous human brain activity
• 4.30pm: Vicente Pallares (U Pompeu Fabra, Barcelona, Spain):
  Whole-brain effective connectivity from fMRI resting-state data discriminates between individuals
• 5.00pm concluding remarks

Presentation time: 30 minutes per speaker (including questions)