The purpose of the conference is to gather scientists from different fields (statistics, time series, neurosciences, linguistics, medicine, biology) working on EEG (Electro-Encephalogram) with a strong emphasis on non-stationarity. The conference is free of charge but registration is mandatory. Please contact emmanuelle.gautherat@univ-reims.fr or patrice.bertail@parisnanterre.fr if you need some help or informations.

What is EEG?

EEG measures electrical activity in the brain using electrodes placed on the scalp. It is widely used in neuroscience, clinical diagnosis (e.g., epilepsy, sleep disorders), and brain-computer interfaces (BCIs).

Why Statistics for EEG?

EEG signals are noisy, high-dimensional, and non-stationary. Statistical methods help:

• Remove noise (artifacts from eye movements, muscle activity).

• Detect patterns (event-related potentials, oscillations).

• Compare groups (healthy vs. patients, different cognitive states).

• Classify signals (e.g., for BCIs).

• Segment signals according to the type of activities 

What are the challenges ?

• Multiple Comparisons Problem for high dimensional problems (e.g., many electrodes, time points).

• Non-stationarity (signal properties change over time).

• High inter-subject variability.

• Causality and connectivity beetween zones in the brain. 

What are the applications ? 

•  Clinical Diagonis and Neurology ( for instance Epylepsy detection, Alzheimer/Parlkinson diagnosis, sleep studies)
  
  
• Cognitive & behavioral neurosciences ( compare neural responses to stimuli ERP)
  
  
• Brain-Computer Interfaces
  
  
• Brain Connectivity & Network Analysis (Functional connectity versus disorder (Schizophrenia))
  
  
• Developmental & Pediatric Studies (Autism diagnosis, Neonatal monitoring, impact of music on babies etc...)

- Hernando Ombao  (KAUST, Saudi Arabia)

- Efthymios Papatzikis (Oslo Metropolitan University)

- Jane Arista (Lisboa University, Portugal)

- Karin Heidlmayr (MODYCO, Universié Paris-Nanterre, France)

- Thierry Dumont (MODAL'X, Université Paris Nanterre, France)

- Claudia Kirch ( Institut für Mathematische Stochastik (IMST), Magdeburg, Germany)

- Guillaume Dolle ( Université de Reims, France)

- Jean-Marc Freyermuth (Université Aix-Marseille)

- Sophie Dabo (Université de Lille, France)

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The conference is sponsored by