Accelerating P300-based neurofeedback training for attention enhancement using iterative learning control: a randomised controlled trial

Journal of Neural Engineering, Journal Year: 2024, Volume and Issue: 21(2), P. 026006 - 026006

Published: Feb. 23, 2024

. Neurofeedback (NFB) training through brain-computer interfacing has demonstrated efficacy in treating neurological deficits and diseases, enhancing cognitive abilities healthy individuals. It was previously shown that event-related potential (ERP)-based NFB using a P300 speller can improve attention adults by incrementally increasing the difficulty of spelling task. This study aims to assess impact task adaptation on ERP-based adults. To achieve this, we introduce novel employing iterative learning control (ILC) compare it against an existing method group with random variation.

Language: Английский

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An auditory brain-computer interface based on selective attention to multiple tone streams

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0303565 - e0303565

Published: May 23, 2024

In this study, we attempted to improve brain-computer interface (BCI) systems by means of auditory stream segregation in which alternately presented tones are perceived as sequences various different (streams). A 3-class BCI using three tone sequences, were streams, was investigated and evaluated. Each musical generated a software synthesizer. Eleven subjects took part the experiment. Stimuli each user’s right ear. Subjects requested attend one streams count number target stimuli attended stream. addition, 64-channel electroencephalogram (EEG) two-channel electrooculogram (EOG) signals recorded from participants with sampling frequency 1000 Hz. The measured EEG data classified based on Riemannian geometry detect object subject’s selective attention. P300 activity elicited segregated streams. five out eleven subjects, only included 10-fold cross validation test, classification accuracy over 80% for 75% nine achieved. For whose lower than 75%, either also nonattended or amplitude small. It concluded that selected can be increased classes, these classes detected single ear without aid any visual modality.

Language: Английский

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Assessing the Impact of Environment and Electrode Configuration on P300 Speller Performance and EEG Signal Quality

Published: July 15, 2024

Recent years have seen extensive use of brain-computer interfaces (BCIs) using electroencephalography (EEG). A critical element in BCI research is electrode selection, which influences performance, experiment duration, resource utilization, and consequently, cost. Electrode choice partly dictated by the study location, as environmental electrical noise can impact EEG signal quality. This evaluates performance a P300 speller quality 4-, 6-, 8-, 16-electrode configurations two different office environments. Ten healthy adults participated single session, to spell three words with each set. Participants were split between locations, five individuals each. Significant disparities observed locations. Notably, within differences among 8-electrode sets minimal; only set outperformed others both settings. The location associated poorer performances also exhibited lower amplitudes higher levels mains electricity noise.

Language: Английский

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Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial (Preprint)

Published: Jan. 31, 2023

The number of people with cognitive deficits and diseases, such as stroke, dementia, or attention-deficit/hyperactivity disorder, is rising due to an aging, in the case a growing population. Neurofeedback training using brain-computer interfaces emerging means easy-to-use noninvasive rehabilitation. A novel application neurofeedback P300-based interface has previously shown potential improve attention healthy adults. This study aims accelerate iterative learning control optimize task difficulty adaptive P300 speller task. Furthermore, we hope replicate results previous for training, benchmark comparison. In addition, effectiveness personalizing during will be compared nonpersonalized adaptation. this single-blind, parallel, 3-arm randomized controlled trial, 45 adults recruited randomly assigned experimental group 1 2 groups. involves single session, where participants receive through During task’s progressively increased, which makes it more difficult maintain their performance. encourages focus. Task either adapted based on participants’ performance (in 1) chosen 2). Changes brain patterns before after analyzed different approaches. Participants complete random dot motion so that any transfer effects other tasks can evaluated. Questionnaires used estimate fatigue compare perceived workload between been approved by Maynooth University Ethics Committee (BSRESC-2022-2474456) registered ClinicalTrials.gov (NCT05576649). Participant recruitment data collection began October 2022, expect publish 2023. task, making attractive option individuals its ease use speed. successful replication from study, would provide further evidence support tool. NCT05576649; https://clinicaltrials.gov/ct2/show/NCT05576649 DERR1-10.2196/46135

Language: Английский

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BCI-Speller’s Data and Approaches as the Basis for Cognitive BCI Applications (from Communication to Creation)

Human Physiology, Journal Year: 2023, Volume and Issue: 49(S1), P. S133 - S146

Published: Dec. 1, 2023

Language: Английский

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