EEG-assisted retrospective motion correction for fMRI (E-REMCOR) and automated implementation (aE-REMCOR)

by Jerzy Bodurka1,2,3 1Laureate Institute for Brain Research, Tulsa, OK, USA 2Stephenson School of Biomedical of Engineering, 3Center for Biomedical Engineering, The University of Oklahoma, Norman, OK, USA Synopsis Electroencephalography (EEG) concurrently acquired with fMRI provides high temporal resolution information about brain activity as well as subject head movement. We introduced an EEG-assisted retrospective motion…

New R&D projects in 2015 – BCI, Sleep and EEG-fMRI

by Birgit Trogisch Research Cooperation Manager (Brain Products)… Following the innovative projects funded by the Federal Ministry of Education and Research (BMBF) and the Federal Ministry for Economic Affairs and Energy (BMWi) in previous years, Brain Products was successful in gaining funding for three new projects related to Brain-Computer-Interfaces (BCI), Sleep and EEG-fMRI starting in…

New insights in motor imagery from real-time EEG feedback during concurrent fMRI

by Catharina Zich1, Stefan Debener1 & Maarten De Vos1,2 1Neuropsychology Lab, Department of Psychology, European Medical School, University of Oldenburg, Oldenburg, Germany 2Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK … Acknowledgment This user research summaries our publication “Zich C, Debener S, Kranczioch C, Bleichner G, Gutberlet I, De Vos M…

Simultaneous EEG–fMRI at ultra-high field: Artifact prevention and safety assessment

by João Jorge1,2 1Laboratory for Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland 2Institute for Systems and Robotics, IST, Lisbon, Portugal Introduction Simultaneous EEG-fMRI acquisitions can offer valuable insights for the non-invasive study of human brain function (Britz et al., 2010; Gotman and Pittau, 2011; Scheeringa et al., 2011). Concurrently, the benefits offered by high-field imaging,…

Integration of concurrent real-time fMRI and EEG data: Self-regulation of human brain activity using simultaneous real-time fMRI and EEG neurofeedback

by Jerzy Bodurka1,2 1Laureate Institute for Brain Research, Tulsa, OK, USA 2College of Engineering, The University of Oklahoma, Tulsa, OK, USA Synopsis We integrated concurrent real-time fMRI (rtfMRI) and electroencephalography (EEG) data on commercial MRI and EEG equipment. We also report a proof-of-concept experiment using simultaneous multimodal rtfMRI and EEG neurofeedback (rtfMRI-EEG-nf). With this approach…