Brain–computer interface using a simplified functional near-infrared spectroscopy system
By Shirley Coyle, Tomás Ward, Charles Markham. Journal of Neural Engineering, 2007
532 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/f01257056c98672229437a5603a0c4341007d40e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Brendan Z. Allison
- Gert Pfurtscheller
- Jonathan R. Wolpaw
- Christa Neuper
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- K. Müller
- Reinhold Scherer
In Cognitive Neuroscience
- Gert Pfurtscheller
- Brendan Z. Allison
- Jonathan R. Wolpaw
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- Fabien Lotte
- Christa Neuper
- K. Müller
In Radiology, Nuclear Medicine and Imaging
- Luis F. Nicolás-Alonso
- K. Müller
- Keum Shik Hong
- Noman Naseer
- Jaime Gómez Gil
- Jonathan R. Wolpaw
- Joseph N. F. Mak
Citations in the corpus
- NIRS-Based Hyperscanning Reveals Increased Interpersonal Coherence in Superior Frontal Cortex during Cooperation (2011, unknown): “NIRS is a relatively flexible technology and to date has been successfully applied in several domains [22], including physiological mechanisms of the BOLD response [23-31], non-invasive brain-computer interfaces [32-36], and brain activity in both active tasks and resting states [37-42].”
- A quantitative comparison of NIRS and fMRI across multiple cognitive tasks (2010, unknown): “NIRS can be very portable (Atsumori et al., 2009) and has been proposed as a useful technology for non-invasive brain–computer interfaces (Power et al., 2010; Coyle et al., 2004, 2007; Sitaram et al., 2007; Utsugi et al., 2008).”
- Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects (2009, background): “with high-spinal-cord injury [67], [68].”
- Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (2010, background): “Note, however, that most of the principles we put forward here can also be applied to other types of BCI, either invasive (single-unit activity [25, 70], electrocorticogram [103, 152]) or non-invasive (MEG [82, 112], fMRI [201, 211], NIRS [30, 178]).”
- fNIRS-based brain-computer interfaces: a review (2015, methodology): “The motor imagery tasks include imagination of the squeezing of a soft ball (Coyle et al., 2004, 2007; Stangl et al., 2013), covert imagery of a simple or complex sequence of finger tapping (Sitaram et al., 2007; Holper and Wolf, 2011), imagination of feet tapping (Kaiser et al., 2014), imagination…”
- The Hybrid BCI (2010, methodology): “They used a 24-channel NIRS system and explored the topographical distribution of the NIRS responses in a movement task.”
- Mental workload during n-back task—quantified in the prefrontal cortex using fNIRS (2014, methodology): “Only very recently has fNIRS been used to classify single-trial activations for BrainComputer Interfacing (Coyle et al., 2007).”
- Brain Computer Interfaces, a Review (2012, background): “Head motions or hair obstruction can worsen performance and signal quality [91].”
- Optical brain monitoring for operator training and mental workload assessment (2012, unknown): “fNIR is safe, highly portable, user-friendly and relatively inexpensive, with rapid application times and near-zero run-time costs (Bunce et al., 2006; Coyle et al., 2007; Izzetoglu et al., 2004; Strangman et al., 2002; Villringer and Chance, 1997).”