Arousing feedback rectifies lapse in performance and corresponding EEG power spectrum

Jung, Tzyy‐Ping; Huang, Kuo‐Feng; Chuang, Chun‐Hsiang; Chen, Jian-Ann; Ko, Li-Wei; Chiu, Tz-Cheng; Lin, Chin‐Teng

doi:10.1109/iembs.2010.5626392

Cited by 8 publications

(2 citation statements)

References 26 publications

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“…It seems that negative feedback leading to external error detection itself results in the enhancement of attention. Other studies also demonstrated an effect of negative feedback-related alpha suppression and interprete it as enhanced arousal, alertness and attention induced by external error detection (Papo et al, 2007; Jung et al, 2010; Luft et al, 2014). …”

Section: Discussionmentioning

confidence: 96%

Slow and Fast Responses: Two Mechanisms of Trial Outcome Processing Revealed by EEG Oscillations

Novikov

Nurislamova

Zhozhikashvili

et al. 2017

Front. Hum. Neurosci.

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Cognitive control includes maintenance of task-specific processes related to attention, and non-specific regulation of motor threshold. Depending upon the nature of the behavioral tasks, these mechanisms may predispose to different kinds of errors, with either increased or decreased response time (RT) of erroneous responses relative to correct responses. Specifically, slow responses are related to attentional lapses and decision uncertainty, these conditions tending to delay RTs of both erroneous and correct responses. Here we studied if RT may be a valid approximation distinguishing trials with high and low levels of sustained attention and decision uncertainty. We analyzed response-related and feedback-related modulations in theta, alpha and beta band activity in the auditory version of the two-choice condensation task, which is highly demanding for sustained attention while involves no inhibition of prepotent responses. Depending upon response speed and accuracy, trials were divided into slow correct, slow erroneous, fast correct and fast erroneous. We found that error-related frontal midline theta (FMT) was present only on fast erroneous trials. The feedback-related FMT was equally strong on slow erroneous and fast erroneous trials. Late post-response posterior alpha suppression was stronger on erroneous slow trials. Feedback-related frontal beta was present only on slow correct trials. The data obtained cumulatively suggests that RT allows distinguishing the two types of trials, with fast trials related to higher levels of attention and low uncertainty, and slow trials related to lower levels of attention and higher uncertainty.

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Section: Discussionmentioning

confidence: 96%

Slow and Fast Responses: Two Mechanisms of Trial Outcome Processing Revealed by EEG Oscillations

Novikov

Nurislamova

Zhozhikashvili

et al. 2017

Front. Hum. Neurosci.

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“…However, the study also showed that auditory feedback sometimes failed to arouse drowsy subjects and that the EEG activity of these non-responsive episodes showed no neural response to the feedback (Lin et al 2010. A pilot study (Jung et al 2010) applied machine-learning algorithms to assess the efficacy of the arousing feedback on drowsy subjects and showed that the post-stimulus EEG spectra could be used to estimate the effectiveness of the arousing signals with a moderate accuracy of 61%.…”

Section: Introductionmentioning

confidence: 99%

Can arousing feedback rectify lapses in driving? Prediction from EEG power spectra

et al. 2013

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Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

et al. 2021

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We present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three stimulation waveforms (DC, 5 Hz, 30 Hz); more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics. Experiment 1 and 2 consisted of participants performing a continuous vigilance/alertness task over three 70-minute and two 70.5-minute sessions, respectively. Demographic data were collected, as well as self-reported wellness questionnaires before and after each session. Participants received all 9 stimulation types in Experiment 1, with each session including three stimulation types, with 4 trials per type. Participants received two stimulation types in Experiment 2, with 20 trials of a given stimulation type per session. Within-participant reliability was tested by repeating select sessions. This unique dataset supports a range of hypothesis testing including interactions of tDCS/tACS location and frequency, brain-state, physiology, fatigue, and cognitive performance.

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Arousing feedback rectifies lapse in performance and corresponding EEG power spectrum

Cited by 8 publications

References 26 publications

Slow and Fast Responses: Two Mechanisms of Trial Outcome Processing Revealed by EEG Oscillations

Slow and Fast Responses: Two Mechanisms of Trial Outcome Processing Revealed by EEG Oscillations

Can arousing feedback rectify lapses in driving? Prediction from EEG power spectra

Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

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