[Eeglablist] Final Call for Participation - Neural Traces 2024: Advanced M/EEG Methods and Clinical Applications Workshop

Nguyen, Tien Dung tien-dung.nguyen at charite.de
Fri Feb 23 04:18:44 PST 2024


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

April 10-12, 2024 @ PTB Berlin, Germany

https://urldefense.com/v3/__https://neuraltraces2024.org__;!!Mih3wA!DHUb-2AOq0ZScZk4x7cQA7jk5RX6NkANULH18IEPvAJ3rZxejbcOJ7-CUc6OpgnSmw02RTfbT_JsfLb-Isqeug2UwjweKcORqaE$ <https://urldefense.com/v3/__https://neuraltraces2024.org/__;!!Mih3wA!DHUb-2AOq0ZScZk4x7cQA7jk5RX6NkANULH18IEPvAJ3rZxejbcOJ7-CUc6OpgnSmw02RTfbT_JsfLb-Isqeug2UwjweCU0o0bk$ > |  Registration deadline: March 8, 2024


The registration deadline for the Neural Traces workshop is fast approaching! We warmly invite you to secure your participation by March 8, 2024 here: https://urldefense.com/v3/__https://conferences.ptb.de/event/1/__;!!Mih3wA!DHUb-2AOq0ZScZk4x7cQA7jk5RX6NkANULH18IEPvAJ3rZxejbcOJ7-CUc6OpgnSmw02RTfbT_JsfLb-Isqeug2UwjweUOrJ1sY$ . More information can be found here: https://urldefense.com/v3/__https://neuraltraces2024.org/program.html__;!!Mih3wA!DHUb-2AOq0ZScZk4x7cQA7jk5RX6NkANULH18IEPvAJ3rZxejbcOJ7-CUc6OpgnSmw02RTfbT_JsfLb-Isqeug2UwjweiwjaYVY$ . Late registration will still be possible for an increased fee of 300 EUR until the conference capacity is reached.


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.


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

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


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.


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