Virtual event 2020

Biomag 2021 Prelude

Tuesday 1 September 2020

We are pleased to announce a free half-day virtual event taking place on Tuesday 1 September 2020 at 14.00 (GMT).

To register for this event please complete the form below.

Provisional programme:

Speaker presentations will be for 25 minutes each, with a further 5 minutes for questions.

14.00Welcome
Ole Jensen, Chair of Biomag 2021, University of Birmingham
14.10Keynote
Sylvain Baillet, McGill University
14.40Mid Career Award Winner: Interpreting the cell and circuit level origin of MEG/EEG signals with the Human Neocortical Neurosolver (HNN) software
Dr. Stephanie Jones, PhD, Associate Professor, Department of Neuroscience, Brown University

Abstract: Magneto- and electro-encephalography (M/EEG) are the leading methods to non-invasively record human neural dynamics with millisecond resolution. However, it can be extremely difficult to infer the underlying cellular and circuit level origins, hindering the utility of M/EEG for translational neuroscience discovery. To address this need, we developed the Human Neocortical Neurosolver (HNN): a new user-friendly neural modeling tool designed to help researchers and clinicians interpret M/EEG data (https://hnn.brown.edu, Neymotin et al., eLife 2020). I will give an overview of the theory behind the development of HNN, demonstrate its use, and discuss strengths and limitations in relation to other M/EEG neural modeling software.

Biography: Stephanie R. Jones, PhD is Associate Professor in Department of Neuroscience at Brown University. She received her doctorate in mathematics from Boston University, followed by training in neuroscience and human magneto- and electro-encephalography (MEG/EEG) at Massachusetts General Hospital. Her research program integrates these disciplines to develop biophysically principled computational neural models that bridge the critical gap between human MEG/EEG brain imaging signals and their underlying cellular and network level generators. She collaborates extensively with animal neurophysiologists, cognitive neuroscientists, and clinicians to develop data constrained models that are translationally relevant. Her group developed their unique neural modeling into a user-friendly software tool for researchers and clinicians to interpret the circuit origin of their human MEG/EEG data: Human Neocortical Neurosolver. A primary focus of her research is to understand the role of non-invasively measured brain rhythms in sensory and motor processing. A goal is to translate an understanding of the network mechanism underlying rhythms into brain stimulation strategies to improve disrupt brain function.
15.10Comfort break
15.20Keynote: Visceral signals, brain dynamics and cognition
Catherine Tallon-Baudry, Dr, Ecole Normale Supérieure & Inserm

Abstract: The heart and gastro-intestinal tract intrinsically generate their own electrical activity and continuously send ascending signals to the brain. I will show how visceral inputs contribute to shaping brain dynamics at rest, and that the neural monitoring of cardiac inputs has meaningful cognitive correlates.

Biography: Catherine Tallon-Baudry is a senior cognitive neuroscientist working at the Department of Cognitive Sciences at Ecole Normale Supérieure in Paris. After having long worked on brain oscillations and visual cognition, she began developing and testing the idea that the neural monitoring of visceral signals from the heart and stomach might contribute to the biological implementation of the self.
15.50James Zimmerman Prize winner: Synthetic Gradiometers for Biomagnetism
Dr. Jiri Vrba, Retired

Abstract: Jiri will outline development of noise cancellation by higher-order SQUID gradiometers for MEG (or other) applications. This development was based on their previous experience with mobile SQUID devices which provided an important foundation for design of robust synthetic 3rd-order gradiometer MEG detectors suitable for either a shielded or, under certain conditions, unshielded operation. Jiri will discuss the concept of gradiometer synthesis, compare gradiometers with adaptive systems, outline parameters necessary for successful shielded and unshielded MEG operation and indicate when the unshielded operation is possible.

Biography: Jiri obtained his MSc in 1965 at the Faculty of Technical and Nuclear Physics of Charles University in Prague, Czechoslovakia. After working for 2 years at the Institute of Solid State Physics in Prague, he moved to Canada to study low temperature physics at the University of Alberta, where he obtained PhD in 1971. Jiri was a Research Associate at the Universities of Alberta, Simon Fraser, and British Columbia.
 
Between 1974 and 2007 he worked at CTF Systems Inc., later VSM MedTech Ltd., where he held positions of Research Scientist, Vice President for Research, Director of Research, and Chief Technology Officer. In 1989 Jiri was a member of Ad-hoc committee to review High Temperature Superconductivity Project at National Research Council of Canada., and in 2005 he received NSERC Synergy Award for Innovation.
 
Between 2007 and 2012 Jiri was consultant to Elekta-Neuromag and University of Arkansas for Medical Sciences. His hobbies are hiking and photography.
16.20Closing comments

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