Evaluation of performance monitoring ERPs through difficulty manipulation in a response-feedback paradigm

Somon, Bertille; Campagne, Aurélie; Delorme, Arnaud; Berberian, Bruno

doi:10.1016/j.brainres.2018.10.007

Cited by 11 publications

(14 citation statements)

References 69 publications

(130 reference statements)

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“…We were able to show that a larger N2 component would be elicited when the participant encountered something that was contrary to expectation of the solution construct. The results related to the N2 component are consistent with literature (Cohen et al, 2007; Potts, 2011; Gheza et al, 2018; Krigolson, 2018; Yi et al, 2018; Somon et al, 2019; Tunison et al, 2019). However, when we compared the calculated mean amplitudes to existent literature as shown in Table 3, the calculated amplitudes were smaller.…”

Section: Discussionsupporting

confidence: 91%

“…User feedback gives individuals the opportunity to modify their future actions using information received about their previous behaviors. The most studied ERP component related to feedback response is feedback-related negativity (FRN) (Walsh and Anderson, 2012; Warren and Holroyd, 2012; Gheza et al, 2018; Glazer et al, 2018; Krigolson, 2018; Somon et al, 2019). The FRN is a signal that is said to originate in the anterior cingulate cortex (ACC) by multiple converging studies (Walsh and Anderson, 2012; Warren and Holroyd, 2012; Gheza et al, 2018; Glazer et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The amplitude of the N2 component, and subsequently the FRN component, can be affected by prevalence of the stimulus, perceived potential gain or loss, and conflict of information (Gheza et al, 2018; Glazer et al, 2018; Krigolson, 2018). The N2 is generally larger in an ERP response after negative feedback than for that of positive feedback (Walsh and Anderson, 2012; Warren and Holroyd, 2012; Gheza et al, 2018; Glazer et al, 2018; Krigolson, 2018; Somon et al, 2019). The amplitude of the P300 (P3) component has also been studied in performance monitoring research.…”

Section: Introductionmentioning

confidence: 99%

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Assessing Feedback Response With a Wearable Electroencephalography System

Qiu

Casey

Diamond

2019

Front. Hum. Neurosci.

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Background: Event related potential (ERP) components, such as P3, N2, and FRN, are potential metrics for assessing feedback response as a form of performance monitoring. Most research studies investigate these ERP components using clinical or research-grade electroencephalography (EEG) systems. Wearable EEGs, which are an affordable alternative, have the potential to assess feedback response using ERPs but have not been sufficiently evaluated. Feedback-related ERPs also have not been scientifically evaluated in interactive settings that are similar to daily computer use. In this study, a consumer-grade wearable EEG system was assessed for its feasibility to collect feedback-related ERPs through an interactive software module that provided an environment in which users were permitted to navigate freely within the program to make decisions. Methods: The recording hardware, which costs < $1,500 in total, incorporated the OpenBCI Cyton Board with Daisy chain, a consumer-grade EEG system that costs $949 USD. Seventeen participants interacted with an oddball paradigm and an interactive module designed to elicit feedback-related ERPs. The features of interests for the oddball paradigm were the P3 and N2 components. The features of interests for the interactive module were the P3, N2, and FRN components elicited in response to positive, neutral, and two types of negative feedback. The FRN was calculated by subtracting the positive feedback response from the negative feedback responses. Results: The P3 and N2 components of the oddball paradigm indicated statistically significant differences between infrequent targets and frequent targets which is in line with current literature. The P3 and N2 components elicited in the interactive module indicated statistically significant differences between positive, neutral, and negative feedback responses. There were no significant differences between the FRN types and significant interactions with channel group and FRN type. Conclusion: The OpenBCI Cyton, after some modifications, shows potential for eliciting and assessing P3, N2, and FRN components, which are important indicators for performance monitoring, in an interactive setting.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing Feedback Response With a Wearable Electroencephalography System

Qiu

Casey

Diamond

2019

Front. Hum. Neurosci.

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“…Hence, EEG data with suitable signal processing techniques can provide relative information regarding brain FC elicited during cognitive activities [15-18]. However, EEG suffers from low spatial resolution issue due to volume conduction [19,20]. Same underlying source may influence the EEG signals acquired from two neighbourhood sensors [21].…”

Section: Introductionmentioning

confidence: 99%

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Thee

Nisar

Yeap

et al. 2019

Preprint

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30In this paper we have reconstructed electroencephalography (EEG) sources using weighted 31 Minimum Norm Estimator (wMNE) for visual oddball experiment to estimate brain functional 32 networks. Secondly we have evaluated the impact of time-frequency decomposition algorithms 33 and scout functions on brain functional networks estimation using phase-locked value (PLV). 34 Lastly, we compared the difference between target stimuli with response (TR) and non-target 35 with no response (NTNR) cases in terms of brain functional connectivity (FC). We acquired 36 the EEG data from 20 healthy participants using 129 channels EEG sensor array for visual 37 oddball experiment. Three scout functions: i) MEAN, ii) MAX and iii) PCA were used to 38 extract the regional time series signals. We transformed the regional time series signals into 39 complex form using two methods: i) Wavelet Transform (WT) and ii) Hilbert Transform (HT). 40The instantaneous phases were extracted from the complex form of the regional time series 41 signals. The FC was estimated using PLV. The joint capacity of the time-frequency 42 decomposition algorithms/scout functions applied to reconstructed EEG sources was evaluated 43 using two criteria: i) localization index (LI) and ii) R. The difference in FC between TR and 44 NTNR cases was evaluated using these two criteria. Our results show that the WT has higher 45 impact on LI values and it is better than HT in terms of consistency of the results as the standard 46 deviation (SD) of WT is lower. In addition, WT/PCA pair is better than other pairs in terms of 47 consistency as the SD of the pair is lower. This pair is able to estimate the connectivity within 48 parietal region which corresponds to P300 response; although WT/MEAN is also able to do 49 that, However, WT/PCA has lower SD than WT/MEAN. Lastly, the differences in connectivity 50 between TR and NTNR cases over parietal, central, right temporal and limbic regions which 51 correspond to target detection, P300 response and motor response were observed. Therefore, 52 we conclude that the output of the connectivity estimation might be affected by time-frequency 53 decomposition algorithms/scout functions pairs. Among the pairs, WT/PCA yields best results 54 for the visual oddball task. Moreover, TR and NTNR cases are different in terms of estimated 55 functional networks. 56 57 and non-linear methods are widely used for FC estimations in the sensor space [50-52] as well 102 as source space [53-56]. 103 Based on the literature review it is observed that the estimated FC depends on the 104 algorithms to solve the EEG ill-posed inverse problem and the methods for connectivity 105 estimation. Hassan et al. reported that the use of wMNE in conjunction with the phase-locking 106 value (PLV) provides better results as compared to the other combinations in the sensor space 107 [26,57]. This combination has been adapted for FC analysis in the source space [25,58-60]. 108 In this research, we planned to utilized wMNE to reconstruct the dipolar so...

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“…The similarities of negative peak, positive peak, and latency with the existing ERP waveform were compared. If the waveforms have completely different waveforms or if the difference between the values of sampling elements and classical ERP elements are two times or more different from each other, the waveforms are discarded and the similar type of ERP waveforms are derived as much as possible through epoch sampling repetition(Zhu et al, 2017;Somon et al, 2019). First, for the analysis of ERN, EEGs were extracted for 0.8 second within 0.3 seconds and 0.5 seconds before and after each checkpoint.…”

mentioning

confidence: 99%

Analysis of Change of Event Related Potential in Escape Test using Virtual Reality Technology

Hyun

Lee²

2019

BSL

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The role of electroencephalography (EEG) in the development of brain-computer interface (BCI) technology is increasing. In particular, the importance of the analysis of event related potential (ERP) in various situations is becoming more significant in BCI technology. Studies on past maze and fire situations have been difficult due to risks and realistic problems. Nowadays, according to the development of virtual reality (VR) technology, realistic maze and fire situation can be realized. In this study, ERPs (P300, and evented related negativity) were analyzed to collect objective data on case determination in an emergency situation. In order to overcome the limitations of previous methods that evaluating the EEG frequency change, ERPs were derived by setting epochs for stimulation and standardizing them, and evaluated for ERPs in this study. P3a and P3b, which are subcomponents of P300, were analyzed and the evented related negativity (ERN) was analyzed together with error positivity (Pe). As a result of the study, statistically significant changes of ERPs were observed, this result, which has little related research, is considered to be meaningful as medical basic statistics.

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Evaluation of performance monitoring ERPs through difficulty manipulation in a response-feedback paradigm

Cited by 11 publications

References 69 publications

Assessing Feedback Response With a Wearable Electroencephalography System

Assessing Feedback Response With a Wearable Electroencephalography System

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball task

Analysis of Change of Event Related Potential in Escape Test using Virtual Reality Technology

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