Event-related Potentials (ERP) in Cognitive Neuroscience Research and Applications

Sokhadze, Estate M.; Casanova, Manuel; Lamina, Eva; Kelly, Desmond P.; Khachidze, Irma

doi:10.15540/nr.4.1.14

Cited by 46 publications

(25 citation statements)

References 124 publications

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“…The differences occurred in the ANT, which required sustained attention and applied to the P200 potential. The literature links the potential to early evaluation and classification of stimuli [33,34]. Previous studies, whose procedures included the ANT, identified some differences in the CNV, P100, N100 and P300 potentials [32,67,68].…”

Section: Discussionmentioning

confidence: 99%

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Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study

Sumińska

Nowak

Lukomska

et al. 2020

International Journal of Occupational Safety and Ergonomics

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Working shifts has a negative impact on employee health and cognitive efficiency. The purpose of this study was to investigate the impact of shift work on cognitive functions -attention and working memory -using both behavioural and electrophysiological measures. Methods. The study was carried out on a group of 34 shift employees (18 paramedics, 16 firefighters) and on 17 day workers. Participants performed the attention network test and the N -back task with two conditions (1-back, 2-back) while the electroencephalography signal was recorded. Results. Observations included a higher amplitude of the P200 potential in paramedics (compared to the control group), a higher amplitude of the P300 potential after work than on a day off and the lowest increase in power in the θ band after the night shift. In firefighters, lower α desynchronization and lower synchronization in the α/β band were observed after a 24-h shift. Paramedics and firefighters had longer reaction times (N -back task). Conclusions. The results suggest that paramedics experience problems with sustained attention. Paramedics process visual stimuli in a different way; after a night shift, performing the tasks required more engagement of cognitive resources. For firefighters, a decrease in visual attention functions and cognitive inhibition was observed.

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Section: Discussionmentioning

confidence: 99%

“…The contingent negative variation (CNV) is also related to attention stimulation processes, which are observed when a stimulus is preceded by a cue [32]. The P200 potential is, in turn, associated with the early classification of stimuli [33,34].…”

Section: Introductionmentioning

confidence: 99%

Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study

Sumińska

Nowak

Lukomska

et al. 2020

International Journal of Occupational Safety and Ergonomics

View full text Add to dashboard Cite

show abstract

“…Hallahan (1999) reported seven framing models in public relations, depending on what is framed: situations, attributes, choices, actions, issues, responsibility and news. In contrast, Pan and Kosicki (1993) argued that news frames are based on four structural dimensions: syntactical, script, thematic, and rhetorical. Gamson and Lasch (1983) argued that organizations are capable of creating argumentative packages about events.…”

Section: Defines Framing Asmentioning

confidence: 99%

Framing Public Participation. An Overview of Michoacan State Government

Galván¹,

Leyva²,

Ortega³

2021

OPE

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Desde 2015, los gobiernos de 30 entidades federativas en México se adhirieron a la iniciativa nacional de Gobierno Abierto para impulsar la apertura del Estado mediante mecanismos de transparencia, rendición de cuentas y participación pública. El objetivo de este artículo es analizar los marcos promovidos por el Gobierno del estado de Michoacán sobre la participación pública a partir de la adopción de una política de Gobierno Abierto. Para lograr el objetivo, se recopilaron los comunicados de prensa emitidos por este gobierno y, posteriormente, se examinaron mediante un análisis de encuadre. Los resultados indican que el gobierno de Michoacán enmarcó la participación pública en dos sentidos: como un avance democrático y como una transferencia de responsabilidades hacia los ciudadanos. A su vez, se reconocieron nuevos actores públicos. A pesar de los avances encontrados, los autores advierten la presencia de riesgos derivados de la ausencia de reglas para la participación pública.

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“…As for Pz channel, a positive peak is found around 200 ms, which represent the P200 of ERP component. The P100 and P200 is waveform components that are commonly related to the early processing of attention state [39]. According to the waveforms shown in the graph, the P100 mostly distributed over the frontal cortex, whereas the P200 is often distributed in the parietal cortex.…”

Section: B Grand-averaged Event-related Potentialmentioning

confidence: 99%

Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network

2021

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Attentive learning is an important feature of the learning process. It provides a beneficial learning experience and plays a key role in generating positive learning outcomes. Most studies widely applied electroencephalogram (EEG) to measure human attention level. Although most studies use EEG handcrafted features and statistical methods to classify attention level, a more effective feature learning technique is still needed. In this paper, we aim to analyze participants' EEG signals through a deep learning model and classify those signals as showing either attentive or inattentive behaviors. To carry out this research, we initially conducted a background study on attention and its detection in EEG. After that, we design a Troxler's fading experiment and use an EEG device to collect data on participants' attentive and inattentive behaviors during the test. The collected EEG data will be analyzed using a Convolution Attention Memory Neural Network (CAMNN) model to classify participants' attention level. The proposed CAMNN model is optimized with Vector-to-Vector (Vec2Vec) modeling, where the model can be learned through deep neural networks in an end-to-end approach. The result shows that our model can achieve 92% accuracy and 0.92 F1 score which outperforms several existing neural network models such as Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN), Deep Learning with Convolutional Neural Networks (deep ConvNets), and Compact Convolutional Network for EEG-based BCIs (EEGNet). This research can be useful for those who are interested in developing attention level monitoring or biofeedback system in areas such as educational classroom learning, medical research, and industrial operator.

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Event-related Potentials (ERP) in Cognitive Neuroscience Research and Applications

Cited by 46 publications

References 124 publications

Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study

Cognitive functions of shift workers: paramedics and firefighters – an electroencephalography study

Framing Public Participation. An Overview of Michoacan State Government

Electroencephalogram-Based Attention Level Classification Using Convolution Attention Memory Neural Network

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