Christoph Schneider's research while affiliated with École Polytechnique Fédérale de Lausanne and other places
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Publications (12)
Visual attention can be spatially oriented, even in the absence of saccadic eye-movements, to facilitate the processing of incoming visual information. One behavioral proxy for this so-called covert visuospatial attention (CVSA) is the validity effect (VE): the reduction in reaction time (RT) to visual stimuli at attended locations and the increase...
To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to acute rehabilitation after a brain lesion. We extracted peak classification accuracy and peak...
BCI feature discriminancy for pilot P2 after artifact removal with FORCe.
(A) Topographic maps of discriminancy per training month on the 16 EEG channel locations over the sensorimotor cortex monitored. Bright color indicates high discriminancy between Both Hands and Both Feet MI tasks employed by pilot P2. The discriminancy of each channel is quan...
BCI feature discriminancy maps per run (N) averaged for each training month.
Bright color indicates high discriminancy between Both Hands and Both Feet MI tasks employed by both pilots (P1 top, P2 bottom). The discriminancy of each feature (channel-frequency pair) is quantified as the Fisher score of the EEG signal's power spectral density distribu...
User-training methodology details of the Cybathlon BCI race competitors.
BCI, brain–computer interface.
(DOCX)
Author summary
Noninvasive brain–computer interface (BCI) based on imagined movements can restore functions lost to disability by enabling spontaneous, direct brain control of external devices without risks associated with surgical implantation of neural interfaces. We hypothesized that, contrary to the popular trend of focusing on the machine lear...
BCI feature discriminancy per training modality.
Topographic maps of discriminancy per training modality on the 16 EEG channel locations over the sensorimotor cortex monitored. Bright color indicates high discriminancy between Both Hands and Both Feet MI tasks employed by both pilots (P1 top, P2 bottom). The discriminancy of each channel is quantif...
BCI feature discriminancy maps per run (N) averaged for each training month.
Bright color indicates high discriminancy between Both Hands and Both Feet motor imagery tasks employed by both pilots (P1 top, P2 bottom). The discriminancy of each feature (channel–frequency pair) is quantified as the Fisher score of the EEG signal's power spectral densi...
Electrode configurations.
(A) EEG channel configuration over 16 locations of the sensorimotor cortex according to the international 10–20 system. (B) EOG electrode configuration on the pilot’s right and left canthi, nasion, and forehead for the detection of ocular and facial muscle artifacts. EEG, electroencephalography; EOG, electrooculogram.
(TIF...
BCI feature discriminancy maps for three typical BCI sessions of pilot P2 in August, September, and October after artifact removal with FORCe.
Bright color indicates high discriminancy between Both Hands and Both Feet motor imagery tasks employed by pilot P2. The discriminancy of each feature (channel–frequency pair) is quantified as the Fisher sco...
Training session information.
The table presents the date of all executed training sessions for both pilots and the number and type of runs performed in each session and reported here. Asterisks indicate one or more runs have been lost due to technical failure or bad maintenance.
(DOCX)
Citations
... For infants, we used EEG (n = 28) acquired in another study [33] with annotated bad channels via visual inspection by the respective authors. We used the open-source adult datasets (n = 14; multiple sessions for each participant leading to an overall 113 files) with annotated bad channels from OpenNeuro [34]. ...
... As opposed to the sensory stimulation-based methods, resting-state analysis (Martinez et al., 2015;Schorr et al., 2016;Naro et al., 2018;Stefan et al., 2018;van den Brink et al., 2018;Cacciola et al., 2019;Wang et al., 2019) does not require the subjects to perform any specific task and it can provide valuable information about the spontaneous neural activity relevant to the fundamental brain state (Lv et al., 2018). On the other hand, sensory stimulation-based methods (Kotchoubey et al., 2005;Boly et al., 2007;Cruse et al., 2011;Schorr et al., 2015;Guger et al., 2017;Luauté et al., 2018;Schneider et al., 2018;Xiao et al., 2018;Agoiz Badia et al., 2019;Cacciola et al., 2019;Formisano et al., 2019;Huang et al., 2019;Xu et al., 2019) employ various modalities of sensory stimuli such as auditory, visual, olfactory, tactile and mental-imagery (Figure 1) and look for the expected cerebral response corresponding to the stimuli. These methods can help to study the integrity of the sensory pathways in the comatose patients. ...
... Perdikis et al. [3] participated in the first Cybathlon competition with two pilots forming a team called Brain Tweakers. They utilized electrooculographic (EOG) electrodes and the FORCe algorithm to detect artifacts. ...
Reference: Closed loop BCI system for Cybathlon 2020