Quantifying fast optical signal and event-related potential relationships during a visual oddball task

Proulx, Nicole; Samadani, Ali-Akbar; Chau, Tom

doi:10.1016/j.neuroimage.2018.05.031

Cited by 10 publications

(10 citation statements)

References 51 publications

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“…Further detail about the task paradigm and experimental protocol can be found in [43], where data from sessions 1 and 2 of each participant were previously used in the analysis of the temporal and spectral relationships between FOS and ERP responses.…”

Section: Instrumentationmentioning

confidence: 99%

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Online classification of the near-infrared spectroscopy fast optical signal for brain-computer interfaces

Proulx

Samadani

Chau

2018

Biomed. Phys. Eng. Express

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Objective. The fast optical signal (FOS), measured with near-infrared spectroscopy (NIRS), has high temporal and competitive spatial resolution which provides an opportunity for a novel braincomputer interface modality. However, the reliability of the FOS has been debated due to its low signal-to-noise ratio. Approach. This study examined the feasibility of automatically classifying the prefrontal FOS response during a visual oddball task. FOS measurements were collected from 15 participants during 3 offline and 2 online sessions. Classification feedback was provided to participants during online sessions. The FOS classification algorithm discriminated between oddball and frequent responses. DC intensity and phase delay FOS measurements were classified individually with both support vector machine (SVM) and linear discriminant analysis (LDA) classifiers. The decisions of these classifiers were combined with a weighted majority vote. Fifteen-trial averages were selected for optimal classification results and the best feature types were found to be the number of zero crossing and the variance. Main results. FOS responses to oddball and frequent images were classified offline with an average balanced accuracy of 62±5% and classified online with an averaged balanced accuracy of 63±6% across all participants. Offline classification accuracies were significantly higher than chance for all participants. Online classification results were significantly above chance in both online sessions for 7 of 14 participants. Event-related potentials (ERPs) were classified using a similar algorithm with an average balanced accuracy of 77±5%, confirming that the prefrontal neuronal response to the visual oddball task could be classified above the level required (>70%) for effective BCI communication. Significance. The FOS classification results demonstrated that automatic classification of the FOS is possible at above-chance levels, however, FOS classification accuracies did not reach the effective BCI communication threshold. Further FOS classification efforts should focus on investigating spectral features as well as adding measurement channels over the fronto-central and parietal areas of the brain.

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Section: Instrumentationmentioning

confidence: 99%

“…Motion artifacts were removed from DC intensity data using independent component analysis (ICA) as described in [43]. Phase data were corrected for phase wrapping and referenced to the medial NIRS channel C3 of the respective wavelength.…”

Section: Preprocessingmentioning

confidence: 99%

Online classification of the near-infrared spectroscopy fast optical signal for brain-computer interfaces

Proulx

Samadani

Chau

2018

Biomed. Phys. Eng. Express

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“…Increased EROS activity in occipital cortex under the match condition than under the mismatch condition was observed at 224 ms in Experiment 2. The temporal correspondence of ERP and EROS responses has been confirmed in the Go-NoGo (Medvedev et al, 2010), oddball (Proulx et al, 2018;Tse et al, 2013), and language processing tasks (Huang et al, 2013). Although we intended to align the EROS response with the N2pc, the activation in the occipital cortex might reflected a different process with the N2pc.…”

Section: The Different Patterns Of Representation Reactivation Before...mentioning

confidence: 88%

“…A prior power analysis, conducted with G*Power 3.1 (power = 0.95, α = .01), indicated that a sample of eight participants was required. According to previous EEG‐EROS studies (Huang et al., 2013; Proulx et al., 2018), 15 participants were sufficient to detect differences between two conditions. Twenty participants with normal or corrected‐to‐normal vision and normal color vision were recruited for each experiment.…”

Section: Methodsmentioning

confidence: 99%

“…Simultaneous recording of the EROS and EEG signals provides combined spatial and temporal information about brain activity during cognition (Huang et al., 2013; Proulx et al., 2018). To explore the temporal brain dynamic during visual search and the spatial source of EEG decoding, we recorded EEG and EROS simultaneously in Experiment 2 using the same experiment procedure with that in Experiment 1 and aligned the EEG decoding with the EROS result through the onset latencies of N2pc in Experiments 1 and 2.…”

Section: Introductionmentioning

confidence: 99%

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The Reactivation of working memory representations affects attentional guidance

Che,

Lian,

Zhang

et al. 2024

Psychophysiology

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Recent studies have suggested that the neural activity that supported working memory (WM) storage is dynamic over time and this dynamic storage decides memory performance. Does the temporal dynamic of the WM representation also affect visual search, and how does it interact with distractor suppression over time? To address these issues, we tracked the time course of the reactivation of WM representations during visual search by analyzing the electroencephalogram (EEG) and event‐related optical signals (EROS) in Experiments 1 and 2, respectively, and investigated the interaction between the representation reactivation and distractor suppression in Experiment 3. Participants had to maintain a color in WM under high‐ or low‐precision requirement and perform a subsequent search task. The reactivation of WM representations was defined by the above‐chance decoding accuracy. The EEG results showed that compared with the low‐precision requirement, WM‐matching distractors captured more attention and the WM representation were reactivated more frequently under high‐precision requirement. The EROS results showed that compared with the low‐precision requirement, the increased activity in occipital cortex in the WM‐matching versus WM‐mismatching conditions was observed at 224 ms during visual search under high‐precision requirement. Regression analysis showed that the representation reactivation during visual search directly predicted the behavioral WM‐based attentional capture effect, while the representation reactivation before visual search impacted the WM‐based attentional capture effect through the mediation of distractor suppression during visual search. These results suggest that the reactivation of WM representations and distractor suppression collectively determine WM‐based attentional capture.

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Event-Related Potentials and Fast Optical Imaging of Cortical Activity During an Auditory Oddball Task

Jaquerod

Knight

Villa

et al. 2021

Advances in Cognitive Neurodynamics (VII)

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Quantifying fast optical signal and event-related potential relationships during a visual oddball task

Cited by 10 publications

References 51 publications

Online classification of the near-infrared spectroscopy fast optical signal for brain-computer interfaces

Online classification of the near-infrared spectroscopy fast optical signal for brain-computer interfaces

The Reactivation of working memory representations affects attentional guidance

Event-Related Potentials and Fast Optical Imaging of Cortical Activity During an Auditory Oddball Task

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