Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data

By Nikolaus Weiskopf, Ralf Veit, Michael Erb, Klaus Mathiak, Wolfgang Grodd, Rainer Goebel, Niels Birbaumer. NeuroImage, 2003

439 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/fbcb785403d6585a5970be56cc85da6ad4c8d7ab

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In Cognitive Neuroscience

Citations in the corpus

Regulation of anterior insular cortex activity using real-time fMRI (2007, methodology): “, 2004a), the anterior cingulate cortex (ACC) (Weiskopf et al., 2003), and the amygdala (Posse et al.”
Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives (2014, positive): “FMRI measurement of the BOLD response has facilitated determination of cortical areas useful for recording of brain activity and has also been shown to provide reliable BCI control across several cortical areas using different cognitive tasks [74].”
Medical image processing on the GPU - Past, present and future (2013, methodology): “time fMRI (Cox et al., 1995; Weiskopf et al., 2003; deCharms, 2008; LaConte, 2011), which involves analysing the data as it is collected from the subject in the MR scanner.”
Brain-machine interfaces in neurorehabilitation of stroke. (2015, neutral): “blood-oxygenation level dependent (BOLD)-contrast imaging using functional MRI (Weiskopf et al., 2003), and 6.”
An MEG-based brain-computer interface (BCI) (2007, methodology): “In recent years there has also been growing interest in BCIs based on imaging methods such as functional magnetic resonance imaging (fMRI) (Weiskopf et al., 2003) or near infrared spectroscopy (NIRS) (Coyle et al.”
Does Playing Violent Video Games Induce Aggression? Empirical Evidence of a Functional Magnetic Resonance Imaging Study (2006, background): “Short-term effects may be based on processes like priming and imitation (Jo & Berkowitz, 1994) as well as arousal processes and excitation transfer (Bryant & Miron, 2003; Zillmann, 1978, 2003).”
Real-time fMRI and its application to neurofeedback (2012, methodology): “Most studies showed that training effects (i.e., signal changes across sessions) primarily occurred in the neurofeedback target region (e.g., deCharms et al., 2004, 2005; Lee et al., 2011; Weiskopf et al., 2003).”
Real-time fMRI neurofeedback: Progress and challenges (2013, background): “…Li et al., 2012; Linden et al., 2012; McCaig et al., 2011; Posse et al., 2003; Rota et al., 2009; Scharnowski et al., 2012; Shibata et al., 2011; Subramanian et al., 2011; Sulzer et al.; Veit et al., 2012; Weiskopf et al., 2003, 2004a; Yoo and Jolesz, 2002; Yoo et al., 2008; Zotev et al., 2011).”
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI) (2004, methodology): “3) as determined by off-line ROI analysis [6].”
Brain–computer interface using a simplified functional near-infrared spectroscopy system (2007, methodology): “Other functional imaging methods including fMRI and MEG have been demonstrated, but are relatively unsuitable due to the impracticalities of the equipment [ 9 , 10].”
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals (2007, background): “(4) Designs that use functional magnetic resonance imaging (fMRI) (Weiskopf et al 2003, 2004, Yoo et al 2004), magneto-encephalography (MEG) signals (Georgopoulos et al 2005), near-infra-red spectrum (NIRS), auditory evoked potentials (Hill et al 2004, Su Ryu et al 1999) and somatosensory evoked…”
Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “Weiskopf et al. [63] showed that a person can control the fMRI BOLD response from circumscribed cortical and subcortical regions.”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, methodology): “For this purpose, various displays have been used, including functional brain maps (877), scrolling graphs of BOLD activity (139, 848), and virtual reality (745).”
Brain-computer interface technology: a review of the Second International Meeting. (2003, positive): “Although real-time fMRI appears to provide a method to successfully self-regulate the blood oxygenation level-dependent (BOLD) signal of specific brain areas [3], the preprocessing, especially the correction of movement artifacts that must be carried out online, is very time-consuming (up to several”
Breaking the silence: brain-computer interfaces (BCI) for communication and motor control. (2006, background): “Future Directions : The Metabolic Whole Brain BCI Weiskopf et al .”
Brain–computer interfaces: communication and restoration of movement in paralysis (2007, methodology): “Figure 16 shows the first fMRI BCI system developed in Birbaumer’s laboratory (Weiskopf et al. 2003) using extremely fast echo-planar gradient sequences in a 1.5–3 T MR scanner (Weiskopf et al. 2005, 2007).”