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Decoding Social Touch: EEG Signals Reveal Interdependent Somatosensory Pathways Relevant to Human Affect
Prof. Dr. Annett Schirmer
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Neuroplastic effects of EEG neurofeedback
Dr. Tomas Ros
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To be announced.
Prof. Dr. Patrique Fiedler
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To be announced
Prof. Giorgio di Lorenzo
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Non-Invasive Remote EEG Monitoring at Home in Epilepsy: Insights from the EEG@HOME Study
Dr. Andrea Biondi
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Deep brain ultrasound stimulation : state of the art transcranial focusing and clinical applications
Prof. Jean-Francois Aubry
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To be announced
Prof. Dr. Elsa Kirchner
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To be announced
John J. Foxe, PhD
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Performance monitoring, post-error adjustments, and acetylcholine
Prof. Dr. med. habil. Markus Ullsperger
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The pull of environmental affordances on selective attention
Dr. Zakaria Djebbara
CARSTEN H. WOLTERS received the M.Sc.degree in mathematics with a minor in medicine from RWTH Aachen University, Aachen,Germany, in 1997, the Ph.D. degree in mathematics from Leipzig University, Leipzig, Germany,in 2003, and the Habilitation degree in mathematics from the University of Münster, Münster, Germany, in 2008. From 1997 to 2004, he was with the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and the Max Planck Institute for Mathematics in the Sciences, Leipzig. In 2004, he joined the Scientific Computing and Imaging Institute, The University of Utah, Salt Lake City, UT, USA. Since 2005, he has been a Research Associate with the Institute for Biomagnetism and Biosignalanalysis (IBB), University of Münster. Since 2008, he has been heading the research group Stimulation, Imaging and Modeling of NEUROnal networks in the human brain (SIM-NEURO), IBB. Since 2017, he has been a Professor of Neurosciences and Biomedical Engineering. His research interests include the field of neurosciences with a focus on reconstructing and manipulating neuronal networks in the human brain.
My talk will address combined EEG/MEG (EMEG) source analysis and targeted and optimized multi-channel transcranial direct current stimulation (mc-tDCS), from new methodology to the evaluation in focal medication-resistant epilepsy. I will motivate why the combination of MEG and EEG can outperform single modality source analysis and how it can be realized. I will discuss complementarity and sensitivity of MEG and EEG and realistic and skull-conductivity calibrated finite-element head modeling. For mc-tDCS optimization I will present Distributed Constrained Maximum Intensity (DCMI) optimization used on a target region determined by EMEG source analysis. In a somatosensory group study, individualized EMEG targeted and DCMI optimized mc-tDCS will be shown to be superior to standard bipolar tDCS. Finally, in a group of focal epilepsy patients, the new methodologies are applied and evaluated with regard to diagnostic and therapeutic succes.