Call for Abstracts - Neural Traces 2024 M/EEG Workshop (Berlin, Germany)

Neural Traces 2024: Advanced M/EEG Methods and Clinical Applications Workshop

April 10-12, 2024 @ PTB Berlin, Germany | Submission deadline: January 8, 2024 | Registration opening: February 1, 2024

Neural Traces is an onsite, three-day workshop on methods in electroencephalography and magnetoencephalography (M/EEG) and their clinical applications. Advances in M/EEG, and the methods employed to extract information from their corresponding signals, have increasingly contributed to our understanding of brain function and network connectivity. In this workshop, we review various methods that have been developed to enable accurate source imaging from these electrophysiological modalities. We also discuss M/EEG signal extraction and interpretation in the context of various neurological and psychiatric disorders.

We are soliciting extended abstract submissions for contributed oral and poster presentations.

Suitable submissions may cover but are not limited to the following topics:

I. Advanced M/EEG data analysis methods:

  • Signal processing and time series modeling
  • Forward and inverse modeling
  • Machine learning and multivariate modeling
  • Open science (software, data, standards, protocols, …)

II. Clinical applications of M/EEG:

  • Movement disorders
  • Aging and dementia
  • Psychiatric and developmental disorders
  • Epilepsy
  • Sleep and consciousness disorders

Submission guidelines
Title, author list and affiliations, 700-word (maximum) extended abstract outlining the study’s background, approach, (preliminary) findings and significance, and references.

Optional: figure with a 150-word (maximum) description

Registration and on-site participation is required for presenters.

Please visit for abstract submission, registration, and further information about the workshop.

Important dates

  • January 8, 2024: Abstract submission closes
  • February 1, 2024: Workshop registration opens

Workshop hosts and support
Neural Traces 2024 is organized by the Brain and Data Science Group at Charité-Universitätsmedizin Berlin, the Machine Learning and Inverse Modeling Group at PTB Berlin, and the Uncertainty, Inverse Modeling and Machine Learning (UNIML) Group at Technische Universität Berlin. The Workshop is partially supported by the European Research Council (Funding ID: 758985) and the Helmholtz Fund.



The registration deadline for the Neural Traces workshop is fast approaching! We warmly invite you to secure your participation by March 8, 2024 here: More information can be found here: Late registration will still be possible for an increased fee of 300 EUR until the conference capacity is reached.

Confirmed speakers

Adina Wagner, Forschungszentrum Jülich, Jülich, Germany
Alain de Cheveigné, Centre national de la recherche scientifique (CNRS), Paris, France
Ashwini Oswal, University of Oxford, Oxford, UK
Guiomar Niso, Instituto Cajal, Madrid, Spain
Guido Nolte, Universitätsklinikums Hamburg-Eppendorf, Hamburg, Germany
Kamalini Ranasinghe, University of California - San Francisco (UCSF), California, USA
Laura Marzetti, Università degli Studi „Gabriele d’Annunzio“ (Ud’A), Chieti, Italy
Marieke van Vugt, University of Groningen, Groningen, The Netherlands
Myriam C. Sander, Max Planck Institute for Human Development, Berlin, Germany
Natalie Schaworonkow, Ernst Strüngmann Institute for Neuroscience, Frankfurt am Main, Germany
Peter Uhlhaas, Charité - Universitätsmedizin Berlin, Berlin, Germany
Robin Tibor Schirrmeister, University of Freiburg, Freiburg, Germany
Roxanne Lofredi, Charité - Universitätsmedizin Berlin, Berlin, Germany
Sara Sommariva, Università di Genova, Genoa, Italy
Srikantan Nagarajan, University of California - San Francisco (UCSF), California, USA
Stefan Haufe, Technische Universität Berlin, Berlin, Germany
Tilmann Sander-Thömmes, Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
Umesh Vivekananda, University College London (UCL), London, UK
Vadim Nikulin, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

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