The Analysis of Event-Related Potentials

Congedo, Marco

doi:10.1007/978-981-13-0908-3_4

Cited by 2 publications

(2 citation statements)

References 93 publications

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“…To analyze the neural response to a salient event, we looked at the novelty P3 in an ERP analysis. ERPs describe time and phase-locked changes in potential evoked by a certain event (Congedo 2018). ICAattenuated EEG data were re-referenced to linked mastoid channels and low-pass filtered at 10 Hz (FIR filter of order 331).…”

Section: Neural Correlates Of Distraction 431 P3 Erp Component To Sal...mentioning

confidence: 99%

Neural tracking to go: auditory attention decoding and saliency detection with mobile EEG

et al. 2021

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Objective. Neuro-steered assistive technologies have been suggested to offer a major advancement in future devices like neuro-steered hearing aids. Auditory attention decoding methods would in that case allow for identification of an attended speaker within complex auditory environments, exclusively from neural data. Decoding the attended speaker using neural information has so far only been done in controlled laboratory settings. Yet, it is known that ever-present factors like distraction and movement are reflected in the neural signal parameters related to attention. Approach. Thus, in the current study we applied a two-competing speaker paradigm to investigate performance of a commonly applied EEG-based auditory attention decoding (AAD) model outside of the laboratory during leisure walking and distraction. Unique environmental sounds were added to the auditory scene and served as distractor events. Main results. The current study shows, for the first time, that the attended speaker can be accurately decoded during natural movement. At a temporal resolution of as short as 5-seconds and without artifact attenuation, decoding was found to be significantly above chance level. Further, as hypothesized, we found a decrease in attention to the to-be-attended and the to-be-ignored speech stream after the occurrence of a salient event. Additionally, we demonstrate that it is possible to predict neural correlates of distraction with a computational model of auditory saliency based on acoustic features. Conclusion. Taken together, our study shows that auditory attention tracking outside of the laboratory in ecologically valid conditions is feasible and a step towards the development of future neural-steered hearing aids.

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Section: Neural Correlates Of Distraction 431 P3 Erp Component To Sal...mentioning

confidence: 99%

Neural tracking to go: auditory attention decoding and saliency detection with mobile EEG

et al. 2021

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“…Temporal filters transform the CSP-preprocessed time-series epochs into a number of components by linear combinations with corresponding filter weights. The output components were in the form of spatial maps (matrices with a size equal to the number of EEG channels), which are linear combinations of samples for each sensor [ 44 ]. Each component had a corresponding temporal pattern obtained by inversion of the matrix with the temporal filters.…”

Section: Resultsmentioning

confidence: 99%

Mental Strategies in a P300-BCI: Visuomotor Transformation Is an Option

et al. 2022

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Currently, P300-BCIs are mostly used for spelling tasks, where the number of commands is equal to the number of stimuli that evoke event-related potentials (ERPs). Increasing this number slows down the BCI operation because each stimulus has to be presented several times for better classification. Furthermore, P300 spellers typically do not utilize potentially useful imagery-based approaches, such as the motor imagery successfully practiced in motor rehabilitation. Here, we tested a P300-BCI with a motor-imagery component. In this BCI, the number of commands was increased by adding mental strategies instead of increasing the number of targets. Our BCI had only two stimuli and four commands. The subjects either counted target appearances mentally or imagined hand movements toward the targets. In this design, the motor-imagery paradigm enacted a visuomotor transformation known to engage cortical and subcortical networks participating in motor control. The operation of these networks suffers in neurological conditions such as stroke, so we view this BCI as a potential tool for the rehabilitation of patients. As an initial step toward the development of this clinical method, sixteen healthy participants were tested. Consistent with our expectation that mental strategies would result in distinct EEG activities, ERPs were different depending on whether subjects counted stimuli or imagined movements. These differences were especially clear in the late ERP components localized in the frontal and centro-parietal regions. We conclude that (1) the P300 paradigm is suitable for enacting visuomotor transformations and (2) P300-based BCIs with multiple mental strategies could be used in applications where the number of possible outputs needs to be increased while keeping the number of targets constant. As such, our approach adds to both the development of versatile BCIs and clinical approaches to rehabilitation.

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The Analysis of Event-Related Potentials

Cited by 2 publications

References 93 publications

Neural tracking to go: auditory attention decoding and saliency detection with mobile EEG

Neural tracking to go: auditory attention decoding and saliency detection with mobile EEG

Mental Strategies in a P300-BCI: Visuomotor Transformation Is an Option

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