Event-Related Potential Classification Based on EEG Data Using xDWAN with MDM and KNN

2021 ◽  
pp. 112-126
Author(s):  
Abu Saleh Musa Miah ◽  
Mumtahina Afroz Mouly ◽  
Chandrika Debnath ◽  
Jungpil Shin ◽  
S. M. Sadakatul Bari
Keyword(s):  
Event Related Potential ◽  
Eeg Data

scholarly journals Eliciting and Recording Event Related Potentials (ERPs) in Behaviourally Unresponsive Populations: A Retrospective Commentary on Critical Factors

2021 ◽  
Vol 11 (7) ◽  
pp. 835
Author(s):  
Alexander Rokos ◽  
Richard Mah ◽  
Rober Boshra ◽  
Amabilis Harrison ◽  
Tsee Leng Choy ◽  
...  
Keyword(s):  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Event Related Potential ◽  
Critical Factors ◽  
Healthy Elderly ◽  
States Of Consciousness ◽  
Long Latency ◽  
Eeg Data ◽  
Related Potentials ◽  
The Relationship

A consistent limitation when designing event-related potential paradigms and interpreting results is a lack of consideration of the multivariate factors that affect their elicitation and detection in behaviorally unresponsive individuals. This paper provides a retrospective commentary on three factors that influence the presence and morphology of long-latency event-related potentials—the P3b and N400. We analyze event-related potentials derived from electroencephalographic (EEG) data collected from small groups of healthy youth and healthy elderly to illustrate the effect of paradigm strength and subject age; we analyze ERPs collected from an individual with severe traumatic brain injury to illustrate the effect of stimulus presentation speed. Based on these critical factors, we support that: (1) the strongest paradigms should be used to elicit event-related potentials in unresponsive populations; (2) interpretation of event-related potential results should account for participant age; and (3) speed of stimulus presentation should be slower in unresponsive individuals. The application of these practices when eliciting and recording event-related potentials in unresponsive individuals will help to minimize result interpretation ambiguity, increase confidence in conclusions, and advance the understanding of the relationship between long-latency event-related potentials and states of consciousness.

scholarly journals Decreased P2 Waveform Reflects Impaired Brain Executive Function Induced by 12 h of Low Homeostatic Sleep Pressure: Evidence From an Event-Related Potential Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Lingjing Zeng ◽  
Haijing Wu ◽  
Jialu Li ◽  
Haiteng Wang ◽  
Songyue Xie ◽  
...  
Keyword(s):  
Executive Function ◽  
Response Time ◽  
Visual Processing ◽  
Repeated Measures ◽  
Young Male ◽  
Event Related Potential ◽  
Peak Latency ◽  
Peak Amplitude ◽  
Eeg Data ◽  
The Impact

Homeostatic sleep pressure can cause cognitive impairment, in which executive function is the most affected. Previous studies have mainly focused on high homeostatic sleep pressure (long-term sleep deprivation); thus, there is still little related neuro-psycho-physiological evidence based on low homeostatic sleep pressure (12 h of continuous wakefulness) that affects executive function. This study aimed to investigate the impact of lower homeostatic sleep pressure on executive function. Our study included 14 healthy young male participants tested using the Go/NoGo task in normal resting wakefulness (10:00 am) and after low homeostatic sleep pressure (10:00 pm). Behavioral data (response time and accuracy) were collected, and electroencephalogram (EEG) data were recorded simultaneously, using repeated measures analysis of variance for data analysis. Compared with resting wakefulness, the participants’ response time to the Go stimulus was shortened after low homeostatic sleep pressure, and the correct response rate was reduced. Furthermore, the peak amplitude of Go–P2 decreased significantly, and the peak latency did not change significantly. For NoGo stimulation, the peak amplitude of NoGo–P2 decreased significantly (p < 0.05), and the peak latency was significantly extended (p < 0.05). Thus, the P2 wave is likely related to the attention and visual processing and reflects the early judgment of the perceptual process. Therefore, the peak amplitude of Go–P2 and NoGo–P2 decreased, whereas the peak latency of NoGo–P2 increased, indicating that executive function is impaired after low homeostatic sleep pressure. This study has shown that the P2 wave is a sensitive indicator that reflects the effects of low homeostatic sleep pressure on executive function, and that it is also an important window to observe the effect of homeostatic sleep pressure and circadian rhythm on cognitive function.

scholarly journals Comparative analysis of two-group supervised classification algorithms in the study of P300-based brain-computer interface

2019 ◽  
Vol 252 ◽  
pp. 03010
Author(s):  
Małgorzata Plechawska-Wójcik ◽  
Monika Kaczorowska ◽  
Bernadetta Michalik
Keyword(s):  
Comparative Analysis ◽  
Supervised Classification ◽  
Brain Computer Interface ◽  
Event Related Potential ◽  
Computer Interface ◽  
Linear Discriminant ◽  
Process Comparison ◽  
Eeg Data ◽  
Comparative Accuracy ◽  
Supervised Classification Methods

The main goal of the paper is to perform a comparative accuracy analysis of the two-group classification of EEG data collected during the P300-based brain-computer interface tests. The brain-computer interface is a technology that allows establishing communication between a human brain and external devices. BCIs may be applied in medicine to improve the life of disabled people and as well for entertainment. The P300 is an event-related potential (ERP) appearing about 300 ms after the occurrence of the stimulus of visual, auditory or sensory nature. It is based on the phenomenon observed in anticipation for a target event among non-target events. The 21-channel 201 Mitsar amplifier was used during the experiment to store EEG data from seven electrodes placed on the dedicated cap. The study was conducted on a group of five persons using P300 scenario available in OpenVibe software. The experiment was based on three steps the classifier learning process, comparison and averaging of the obtained result and the final test of the classifier. The comparative analysis was performed with the application of two supervised classification methods: Linear Discriminant Analysis (LDA) and Multi-layer Perceptron (MLP). The preliminary data analysis, extraction and feature selection was performed prior to the classification.

scholarly journals Indexing the graded allocation of visuospatial attention using anticipatory alpha oscillations

2011 ◽  
Vol 105 (3) ◽  
pp. 1318-1326 ◽  
Author(s):  
Ian C. Gould ◽  
Matthew F. Rushworth ◽  
Anna C. Nobre
Keyword(s):  
Reaction Times ◽  
Neural Mechanism ◽  
Visuospatial Attention ◽  
Event Related Potential ◽  
Response Preparation ◽  
Beta Band ◽  
Top Down ◽  
Alpha Oscillations ◽  
Time Frequency ◽  
Eeg Data

Lateralization in the desynchronization of anticipatory occipitoparietal alpha (8–12 Hz) oscillations has been implicated in the allocation of selective visuospatial attention. Previous studies have demonstrated that small changes in the lateralization of alpha-band activity are predictive of behavioral performance but have not directly investigated how flexibly alpha lateralization is linked to top-down attentional goals. To address this question, we presented participants with cues providing varying degrees of spatial certainty about the location at which a target would appear. Time-frequency analysis of EEG data demonstrated that manipulating spatial certainty led to graded changes in the extent to which alpha oscillations were lateralized over the occipitoparietal cortex during the cue-target interval. We found that individual differences in alpha desynchronization contralateral to attention predicted reaction times, event-related potential measures of perceptual processing of targets, and beta-band (15–25 Hz) activity typically associated with response preparation. These results support the hypothesis that anticipatory alpha modulation is a plausible neural mechanism underlying the allocation of visuospatial attention and is under flexible top-down control.

scholarly journals A two for one special: EEG hyperscanning using a single-person EEG recording setup

2021 ◽  
Author(s):  
Caitriona Douglas ◽  
Antoine Tremblay ◽  
Aaron J Newman
Keyword(s):  
Event Related Potential ◽  
Oscillatory Activity ◽  
Simultaneous Acquisition ◽  
Single Person ◽  
Eeg Data ◽  
Stimulus Timing ◽  
Audio Data ◽  
Eeg Recordings ◽  
Post Hoc ◽  
Precise Time

EEG hyperscanning refers to recording electroencephalographic (EEG) data from multiple participants simultaneously. Many hyperscanning experimental designs seek to mimic naturalistic behavior, relying on unpredictable participant-generated stimuli. The majority of this research has focused on neural oscillatory activity that is quantified over hundreds of milliseconds or more. This contrasts with traditional event-related potential (ERP) research in which analysis focuses on transient responses, often only tens of milliseconds in duration. Deriving ERPs requires precise time-locking between stimuli and EEG recordings, and thus typically relies on pre-set stimuli that are presented to participants by a system that controls stimulus timing and synchronization with an EEG system. EEG hyperscanning methods typically use separate EEG amplifiers for each participant, increasing cost and complexity — including challenges in synchronizing data between systems. Here, we describe a method that allows for simultaneous acquisition of EEG data from a pair of participants engaged in conversation, using a single EEG system with simultaneous audio data collection that is synchronized with the EEG recording. This allows for the post-hoc insertion of trigger codes so that it is possible to analyze ERPs time-locked to specific events. We further demonstrate methods for deriving ERPs elicited by another person’s spontaneous speech, using this setup.

scholarly journals Effects of emotion regulation on EEG microstates – Valence and arousal are not processed sequentially

2021 ◽  
Author(s):  
Josephine Zerna ◽  
Alexander Strobel ◽  
Christoph Scheffel
Keyword(s):  
Emotion Regulation ◽  
Local Level ◽  
Stimulus Onset ◽  
Event Related Potential ◽  
Sequential Processing ◽  
Imaging Tool ◽  
Eeg Data ◽  
Emotional Pictures ◽  
Microstate Analysis ◽  
Valence And Arousal

In electroencephalography (EEG), microstates are distributions of activity across the scalp that persist for several tens of milliseconds before changing into a different topographical pattern. Microstate analysis is a promising way of utilizing EEG as both temporal and spatial imaging tool, but has mostly been applied to resting state data. This study aimed to conceptually replicate microstate findings of valence and arousal processing and to investigate the effects of emotion regulation on microstates, using existing data of an EEG paradigm with 107 healthy adults who were to actively view emotional pictures, cognitively detach from them, or suppress facial reactions. EEG data were clustered into microstates based on topographical similarity and compared on global and electrode level between conditions of interest. Within the first 600 ms after stimulus onset only the comparison of viewing positive and negative pictures yielded significant global results, caused by different electrodes depending on the microstate. Since the microstates associated with more and less arousing pictures did not differ from each other, sequential processing of valence and arousal information could not be replicated. When extending the analysis to 2,000 ms after stimulus onset, global microstate differences were exclusive to the comparison of viewing and detaching from negative pictures. Intriguingly, we observed the novel phenomenon of a significant global difference that could not be attributed to single electrodes on the local level. This suggests that microstate analysis can detect differences beyond those detected by event-related potential analysis, simply by not confining the analysis to a few electrodes.

scholarly journals Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Young-Eun Lee ◽  
Gi-Hwan Shin ◽  
Minji Lee ◽  
Seong-Whan Lee
Keyword(s):  
Visual Evoked Potential ◽  
Evoked Potential ◽  
Event Related Potential ◽  
Signal Quality ◽  
Mobile Environments ◽  
Scalp Eeg ◽  
Slow Walking ◽  
Eeg Data ◽  
Recording Conditions ◽  
Measurement Units

AbstractWe present a mobile dataset obtained from electroencephalography (EEG) of the scalp and around the ear as well as from locomotion sensors by 24 participants moving at four different speeds while performing two brain-computer interface (BCI) tasks. The data were collected from 32-channel scalp-EEG, 14-channel ear-EEG, 4-channel electrooculography, and 9-channel inertial measurement units placed at the forehead, left ankle, and right ankle. The recording conditions were as follows: standing, slow walking, fast walking, and slight running at speeds of 0, 0.8, 1.6, and 2.0 m/s, respectively. For each speed, two different BCI paradigms, event-related potential and steady-state visual evoked potential, were recorded. To evaluate the signal quality, scalp- and ear-EEG data were qualitatively and quantitatively validated during each speed. We believe that the dataset will facilitate BCIs in diverse mobile environments to analyze brain activities and evaluate the performance quantitatively for expanding the use of practical BCIs.

scholarly journals A Step towards Neuro-Steered Hearing Aids: Integrated Portable Setup for Time- Synchronized Acoustic Stimuli Presentation and EEG Recording

2021 ◽  
Vol 7 (2) ◽  
pp. 855-858
Author(s):  
Steffen Dasenbrock ◽  
Sarah Blum ◽  
Stefan Debener ◽  
Volker Hohmann ◽  
Hendrik Kayser
Keyword(s):  
Hearing Aids ◽  
Hearing Aid ◽  
Simultaneous Recording ◽  
Event Related Potential ◽  
Sensor Technology ◽  
Laboratory Research ◽  
Linear Discriminant ◽  
Auditory Oddball ◽  
Eeg Data ◽  
Research Platform

Abstract Aiming to provide a portable research platform to develop algorithms for neuro-steered hearing aids, a joint hearing aid - EEG measurement setup was implemented in this work. The setup combines the miniaturized electroencephalography sensor technology cEEGrid with a portable hearing aid research platform - the Portable Hearing Laboratory. The different components of the system are connected wirelessly, using the lab streaming layer framework for synchronization of audio and EEG data streams. Our setup was shown to be suitable for simultaneous recording of audio and EEG signals used in a pilot study (n=5) to perform an auditory Oddball experiment. The analysis showed that the setup can reliably capture typical event-related potential responses. Furthermore, linear discriminant analysis was successfully applied for single-trial classification of P300 responses. The study showed that time-synchronized audio and EEG data acquisition is possible with the Portable Hearing Laboratory research platform.

Cognitive Workload in an Auditory Digit Span Task When Memory Span Is in the Neighborhood of Seven Items

2021 ◽  
pp. 1-16
Author(s):  
Ming Lo ◽  
Yi-Xiu Lin ◽  
Yi-Jui Li
Keyword(s):  
Short Term Memory ◽  
Memory Span ◽  
Digit Span ◽  
Dynamic Change ◽  
Mental Effort ◽  
Event Related Potential ◽  
Short Term ◽  
Term Memory ◽  
Theta Power ◽  
Eeg Data

Abstract. Task performance of digit span has been widely used in the research on human short-term memory. The present study was conducted to show that the dynamic change of underlying mental effort can be further estimated by measuring the strength of theta oscillations at a forehead site on the scalp. Fourteen healthy adults ( Mage = 26.1 years) performed a passive listening (PL) task and an auditory digit span (DS) task, and electroencephalography (EEG) data were recorded simultaneously during the two tasks. Considering that the digit span paradigm has often been conducted in a non-laboratory location, the EEG data were collected with a wireless single-channel headset system. The headset system was validated in this study by replicating the EEG (an enhancement of frontal theta power) as well as event-related potential (N200 and P300) responses to the deviant tone stimuli in the PL task. The outcomes of the DS task showed that the memory span of the participants was at least eight items. Moreover, frontal theta power in response to a list of six to eight digits increased significantly. This pattern of results supports a hypothesis that additional mental effort is required for short-term retention of verbal items when the number of stimulus items exceeds the newly proposed limit of short-term memory capacity. Some strengths and limitations of the current EEG headset system are also discussed.

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