Computational Neurostimulation

Dr Bestmann’s research interests are centered around action control, and how our brain makes decisions that ultimately lead to controlled movements. He has approached this question using a combination of different research techniques with complementary strengths, including functional neuroimaging, electrophysiology, psychophysics, computational modeling, pharmacology, and neurostimulation. One prominent research activity throughout his career has been the use of interventional approaches to study brain-behaviour relationships. He has a long-standing interest in using non-invasive brain stimulation, and its combination with complementary research approaches such as functional neuroimaging. Recently, the research interest has included the use of computational models to understand the specific processes targeted by various neurostimulation techniques. He has recently coined the term computational neurostimulation, to describe this approach of using computational modeling to study the behavioural consequences of non-invasive brain stimulation.He is a Reader in Motor Neuroscience at the Sobell Department, UCL. His research has been supported by major funding sources, such as the European Research Council, the Biotechnology and Biological Sciences Research Council (BBSRC), and Wellcome Trust. He is a Board member and Chair of Life Science domain of the Young Academy of Europe.

• Modeling Sequence and Quasi-Uniform Assumption in Computational NeurostimulationMarom Bikson, Dennis Q. Truong, Antonios P. Mourdoukoutas, Mohamed Aboseria, Niranjan Khadka, Devin Adair and Asif RahmanMultilevel Computational Models for Predicting the Cellular Effects of Non-Invasive Brain StimulationAsif Rahman, Belen Lafon and Marom BiksonExperiments and Models of Cortical Oscillations as a Target for Non-Invasive Brain StimulationFlavio FröhlichUnderstanding the Nonlinear Physiological and Behavioral Effects of tDCS Through Computational Neurostimulation James J. Bonaiuto and Sven BestmannModeling TMS-Induced I-Waves in Human Motor CortexJochen Triesch, Christoph Zrenner and Ulf ZiemannDeep Brain Stimulation for Neurodegenerative Disease: A Computational Blueprint using Dynamic Causal ModelingRosalyn MoranModel-Based Analysis and Design of Waveforms for Efficient Neural StimulationWarren M. GrillComputational Neurostimulation for Parkinson’s DiseaseSimon Little and Sven BestmannComputational Modelling of Neurostimulation in Brain DiseasesYujiang Wang, Frances Hutchings and Marcus KaiserUnderstanding the Biophysical Effects of Transcranial Magnetic Stimulation on Brain Tissue: the Bridge between Brain Stimulation and CognitionSebastiaan F.W. Neggers, Petar I. Petrov, Stefano Mandija, Iris E.C. Sommer and Nico A.T. van den BergModeling the Effects of Non-Invasive Transcranial Brain Stimulation at the Biophysical, Network and Cognitive LevelGesa Hartwigsen, Til Ole Bergmann, Damian Marc Herz, Steffen Angstmann, Anke Karabanov, Estelle Raffin, Axel Thielscher and Hartwig Roman Siebner