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2004•IEEE Transactions on Biomedical EngineeringRequires access

An EEG-Driven Brain-Computer Interface Combined With Functional Magnetic Resonance Imaging (fMRI)

Thilo Hinterberger, Nikolaus Weiskopf, Ralf Veit, Barbara Wilhelm, Elena Betta, Niels Birbaumer

Open publisher page 72 citations

Abstract

Self-regulation of slow cortical potentials (SCPs) has been successfully used to prevent epileptic seizures as well as to communicate with completely paralyzed patients. The thought translation device (TTD) is a brain-computer interface (BCI) that was developed for training and application of SCP self-regulation. To investigate the neurophysiological mechanisms of SCP regulation the TTD was combined with functional magnetic resonance imaging (fMRI). The technical aspects and pitfalls of combined fMRI data acquisition and EEG neurofeedback are discussed. First data of SCP feedback during fMRI are presented.

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What this paper is about

Self-regulation of slow cortical potentials (SCPs) has been successfully used to prevent epileptic seizures as well as to communicate with completely paralyzed patients. The thought translation device (TTD) is a brain-computer interface (BCI) that was developed for training and application of SCP self-regulation. To investigate the neurophysiological mechanisms of SCP regulation the TTD was combined with functional magnetic resonance imaging (fMRI). The technical aspects and pitfalls of combined fMRI data acquisition and EEG neurofeedback are discussed. First data of SCP feedback during fMRI are presented.

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OpenAlex reports 72 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Self-regulation of slow cortical potentials (SCPs) has been successfully used to prevent epileptic seizures as well as to communicate with completely paralyzed patients. The thought translation device (TTD) is a brain-computer interface (BCI) that was developed for training and application of SCP self-regulation. To investigate the neurophysiological mechanisms of SCP regulation the TTD was combined with functional magnetic resonance imaging (fMRI). The technical aspects and pitfalls of combined fMRI data acquisition and EEG neurofeedback are discussed. First data of SCP feedback during fMRI are presented.

Key concepts: Neurofeedback, Functional magnetic resonance imaging, Brain–computer interface, Neurophysiology, Electroencephalography, Neuroscience, EEG-fMRI, Magnetic resonance imaging

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