2021/12 New Publications: 

Grazia, A, Wimmer, M, Müller-Putz, G & Wriessnegger, SC (2021), 'Neural suppression elicited during motor imagery following the observation of biological motion from point-light walker stimuli', Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2021.788036

Crotti, M., Koschutnig, K., & Wriessnegger, S. C. (2021). Handedness impacts the neural correlates of kinesthetic motor imagery and execution: A FMRI study. Journal of Neuroscience Research.https://doi.org/10.1002/jnr.25003

Wriessnegger, SC, Raggam, P, Kostoglou, K & Müller-Putz, G. (2021), 'Mental State Detection using Riemannian Geometry on EEG brain signals', Frontiers in Human Neuroscience / Brain-Computer Interfaces. https://doi.org/10.3389/fnhum.2021.746081

Wriessnegger, SC & Barradas Chacon, LA 2021, 'Electroencephalography (EEG) sensors and signal processing, In:Roadmap on signal processing for next generation measurement systems', Measurement Science and Technology. https://doi.org/10.1088/1361-6501/ac2dbd

Selina Christin Wriessnegger is Associate Professor at the Institute of Neural Engineering (BCI-Lab), Graz University of Technology, Austria. From 2001 to 2005 she was PhD student at the Max-Planck-Institute for Human Cognitive and Brain Sciences and received her PhD from the Ludwig-Maximilians University (Munich). During that time she spent one year in Rome as research assistant at IRCCS (Fondazione Santa Lucia), Laboratory for Human Psychophysiology (Prof. Laquaniti, Dr. Daprati). From 2005 to 2008 she was University Assistant at the Karl-Franzens-University Graz, Section Neuropsychology (Prof. Neuper). From 2009 until May 2016 she was senior researcher at the Institute of Neural Engineering (BCI-Lab). In 2017 she was visiting professor at SISSA (Scuola Internazionale Superiore di Studi Avanzati), Trieste and in 2019 she was guest professor at the University of Padua. Her research interests are, neural correlates of covert actions, sports motor imagery, novel applications of BCIs for healthy users, passive BCIs, intelligent neuroadaptive (tutoring) systems, VR/AR applications in learning and rehabilitation.