Linking neurophysiological data to cognitive functions

An event by the Immersive Technologies Community at Leeds Institute for Data Analytics (LIDA)

Speaker: Anne-Sophie Dubarry

Neurophysiological signals, as recorded with various techniques (EEG, MEG, iEEG), offer a window into the brain’s dynamic activity, with different levels of observation, providing complementary insights into the mechanisms underlying cognitive functions. The complexity and variability of these signals require advanced analytical tools and standardized workflows to ensure reliable, reproducible, and interpretable results.

As an engineer at the interface between physics, method design, and cognitive neuroscience, my work focuses on developing tools and methods to analyze and interpret neurophysiological data. I will present a selection of analytical frameworks and software solutions that I have developed to enable researchers and clinicians to extract meaningful patterns from complex dataset. I will also highlight the importance of adopting good scientific practices, such as the BIDS standard, as well as contributing software solutions that integrates with and strengthen our field’s ecosystem, to enhance reproducibility and interoperability.

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Host or Publisher Leeds Institute for Data Analytics