The influence of unaware errors on post-error adjustment: evidence from electrophysiological analysis

WANG Lijun1 SUO Tao1 ZHAO Guoxiang1

(1.Institute of Psychology and Behavior, Institute of Cognition, Brain and Health, School of Education, Henan University, Kaifeng, China 475004)

【Abstract】Following errors, participants usually recruit more cognitive resources to change error-related behaviors. This phenomenon is termed the post-error adjustment. Generally, behavioral adjustments in post-error trials behave as slower subsequent responses and improved accuracy. It is worth noting that we cannot successfully perceive every error that we commit in daily life. Several studies found that post-error slowing occurred only after aware errors, suggesting that only aware errors contributed to the phenomenon of post-error adjustment. Moreover, these studies emphasized the role of top-down control in the processing of error awareness. However, a few studies came to the opposite conclusion, finding that the post-error adjustment could be modulated by unaware errors in an implicit manner. These studies emphasized the role of bottom-up control in the processing of error awareness. Notably, previous studies have demonstrated that the post-error adjustment involves both proactive and reactive cognitive control. Proactive control refers to a goal-driven manner that is actively maintained with sustained attention before the occurrence of cognitively demanding events. Reactive cognitive control refers to a bottom-up manner, in which attentional control is mobilized when the goal-related event is reactivated. Thus, whether different control strategies are adopted by aware and unaware errors remains unclear. To investigate the above issue, we recruited 36 participants to execute an error awareness task based on the go/no-go task. However, data from five participants were removed due to poor EEG records or poor behavioral performance. In the go/no-go error awareness task, participants were instructed to withhold their responses in certain circumstances. The first was when a word was presented on two consecutive trials, and the second was when the font color of the word and its meaning were inconsistent. Additionally, the usage of an error signal button might lead to a response bias toward signaling or not signaling an error. If participants tended to signal errors, they might signal their correct responses as errors, increasing the false alarm rates. If participants did not tend to signal errors, aware errors might be classed as unaware errors. In this case, the measurement of unaware errors might be contaminated by potential conscious error trials. Thus, participants were instructed to respond to indicate their perceived response accuracy in both error and correct cases during the rating screen in the current experiment. Since previous studies have found that neural oscillations reveal the processing of proactive and reactive cognitive control, the time-frequency analysis is conducted in this experiment. It has been suggested that the alpha band (8–14 Hz) reflects the trial-by-trial behavioral adjustment. Thus, alpha power is chosen as the neural indicator. As a result, the post-error reaction time indicated two dissociated behavior patterns with speeding up following aware errors and slowing down following unaware errors. However, accuracy in trials following aware and unaware errors was significantly higher than for trials following correct go. At the neural level, power of alpha waves (−500 to 500 ms) was stronger for aware errors than for unaware errors. Moreover, the alpha waves were activated before the subjective report of error awareness for aware errors, but the alpha waves were activated after the subjective report of error awareness for unaware errors. Current behavioral results showed that aware and unaware errors both successfully optimized post-error performance, but the two error types adopted different methods to adjust post-error behaviors. The time-frequency analysis revealed that aware errors led to sustained attention control after responses, but unaware errors led to temporary attention control induced by the subjective report of error awareness. Therefore, these findings might suggest that the adjustments following aware errors were based on a strategy such as proactive control, whereas the adjustments following unaware errors were based on a strategy such as reactive cognitive control.

【Keywords】 error awareness; post-error adjustment; alpha waves; proactive control; reactive cognitive control;

【DOI】

【Funds】 Postdoctoral Research Grant in Henan Province (001802013) Humanities and Social Sciences Project of the Education Department of Henan Province (2019ZDJH493)

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    References

    Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28(1), 403–450.

    Braboszcz, C., & Delorme, A. (2011). Lost in thoughts: Neural markers of low alertness during mind wandering. Neuroimage, 54(4), 3040–3047.

    Braver, T. S. (2012). The variable nature of cognitive control: A dual mechanisms framework. Trends in Cognitive Sciences, 16(2), 106–113.

    Carp, J., & Compton, R. J. (2009). Alpha power is influenced by performance errors. Psychophysiology, 46(2), 336–343.

    Cavanagh, J. F., & Frank, M. J. (2014). Frontal theta as a mechanism for cognitive control. Trends in Cognitive Sciences, 18(8), 414–421.

    Chang, A., Ide, J. S., Li, H.-H., Chen, C.-C., & Li, C.-S. R. (2017). Proactive control: Neural oscillatory correlates of conflict anticipation and response slowing. Eneuro, 4(3).

    Cheyne, J. A., Carriere, J. S. A., Solman, G. J. F., & Smilek, D. (2011). Challenge and error: Critical events and attention- related errors. Cognition, 121(3), 437–446.

    Cohen, M. X., & Cavanagh, J. F. (2011). Single-Trial Regression Elucidates the Role of Prefrontal Theta Oscillations in Response Conflict. Frontiers in Psychology, 2, 30.

    Coleman, J. R., Watson, J. M., & Strayer, D. L. (2018). Working memory capacity and task goals modulate error-related ERPs. Psychophysiology, 55(3), e12805.

    Cooper, P. S., Wong, A. S. W., Fulham, W. R., Thienel, R., Mansfield, E., Michie, P. T., & Karayanidis, F. (2015). Theta frontoparietal connectivity associated with proactive and reactive cognitive control processes. Neuroimage, 108, 354–363.

    Di Gregorio, F., Steinhauser, M., & Maier, M. E. (2016). Error-related brain activity and error awareness in an error classification paradigm. Neuroimage, 139, 202–210.

    Endrass, T., Reuter, B., & Kathmann, N. (2007). ERP correlates of conscious error recognition: Aware and unaware errors in an antisaccade task. European Journal of Neuroscience, 26(6), 1714–1720.

    Godefroid, E., Pourtois, G., & Wiersema, J. R. (2015). Joint effects of sensory feedback and interoceptive awareness on conscious error detection: Evidence from event related brain potentials. Biological Psychology, 114,49–60.

    Hajcak, G., McDonald, N., & Simons, R. F. (2003). To err is autonomic: Error‐related brain potentials, ANS activity, and post‐error compensatory behavior. Psychophysiology, 40(6), 895–903.

    Hester, R., Foxe, J. J., Molholm, S., Shpaner, M., & Garavan, H. (2005). Neural mechanisms involved in error processing: A comparison of errors made with and without awareness. Neuroimage, 27(3), 602– 608.

    Hoonakker, M., Doignon-Camus, N., & Bonnefond, A. (2016). Performance monitoring mechanisms activated before and after a response: A comparison of aware and unaware errors. Biological Psychology, 120, 53–60.

    Hwang, K., Ghuman, A. S., Manoach, D. S., Jones, S. R., & Luna, B. (2016). Frontal preparatory neural oscillations associated with cognitive control: A developmental study comparing young adults and adolescents. Neuroimage, 136, 139–148.

    Leunissen, I., Coxon, J. P., & Swinnen, S. P. (2016). A proactive task set influences how response inhibition is implemented in the basal ganglia. Human Brain Mapping, 37(12), 4706–4717.

    Liu, P. D., Yang, W. J., Chen, J., Huang, X. T., & Chen, A. (2013). Alertness modulates conflict adaptation and feature integration in an opposite way. PloS One, 8(11), e79146.

    Maier, M. E., Ernst, B., & Steinhauser, M. (2019). Error-related pupil dilation is sensitive to the evaluation of different error types. Biological Psychology, 141, 25–34.

    Makeig, S., Debener, S., Onton, J., & Delorme, A. (2004). Mining event-related brain dynamics. Trends in Cognitive Sciences, 8(5), 204–210.

    Mouraux, A., & Iannetti, G. D. (2008). Across-trial averaging of event-related EEG responses and beyond. Magnetic Resonance Imaging, 26(7), 1041–1054.

    Murphy, P. R., Robertson, I. H., Allen, D., Hester, R., & O’Connell, R. G. (2012). An electrophysiological signal that precisely tracks the emergence of error awareness. Frontiers in Human Neuroscience, 6, 65.

    Murphy, P. R., Robertson, I. H., Harty, S., & O’Connell, R. G. (2015). Neural evidence accumulation persists after choice to inform metacognitive judgments. eLife, 4, e11946.

    Navarro-Cebrian, A., Knight, R. T., & Kayser, A. S. (2013). Error-monitoring and post-error compensations: Dissociation between perceptual failures and motor errors with and without awareness. The Journal of Neuroscience, 33(30), 12375–12383.

    Nieuwenhuis, S., Ridderinkhof, K. R., Blom, J., Band, G. P. H, & Kok, A. (2001). Error‐related brain potentials are differentially related to awareness of response errors: Evidence from an antisaccade task. Psychophysiology, 38(5), 752–760.

    O’Connell, R. G., Dockree, P. M., Bellgrove, M. A., Kelly, S. P., Hester, R., Garavan, H., . . . Foxe, J. J. (2007). The role of cingulate cortex in the detection of errors with and without awareness: A high-density electrical mapping study. European Journal of Neuroscience, 25(8), 2571–2579.

    Pfurtscheller, G., & Lopes da Silva, F. (1999). Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology, 110(11), 1842–1857.

    Rabbitt, P. M. A. (1966). Errors and error correction in choice- response tasks. Journal of Experimental Psychology, 71(2), 264–272.

    Regev, S., & Meiran, N. (2014). Post-error slowing is influenced by cognitive control demand. Acta Psychologica, 152, 10–18.

    Sadaghiani, S., & Kleinschmidt, A. (2016). Brain networks and α-oscillations: Structural and functional foundations of cognitive control. Trends in Cognitive Sciences, 20(11), 805–817.

    Shalgi, S., Barkan, I., & Deouell, L. Y. (2009). On the positive side of error processing: Error‐awareness positivity revisited. European Journal of Neuroscience, 29(7), 1522–1532.

    Shalgi, S., O’connell, R. G., Deouell, L. Y., & Robertson, I. H. (2007). Absent minded but accurate: Delaying responses increases accuracy but decreases error awareness. Experimental Brain Research, 182(1), 119–124.

    Steinhauser, M., & Yeung, N. (2010). Decision processes in human performance monitoring. The Journal of Neuroscience, 30(46), 15643–15653.

    Steinhauser, M., & Yeung, N. (2012). Error awareness as evidence accumulation: Effects of speed-accuracy trade-off on error signaling. Frontiers in Human Neuroscience, 6,240.

    Tang, D. D., Hu, L., & Chen, A. (2013). The neural oscillations of conflict adaptation in the human frontal region. Biological Psychology, 93(3), 364–372.

    Ullsperger, M., Danielmeier, C., & Jocham, G. (2014). Neurophysiology of performance monitoring and adaptive behavior. Physiological Reviews, 94(1), 35–79.

    van der Wel, P., & van Steenbergen, H. (2018). Pupil dilation as an index of effort in cognitive control tasks: A review. Psychonomic Bulletin & Review, 25(6), 2005–2015.

    Wang, L. J., Gu, Y., Zhao, G. X., & Chen, A. (2020). Error- related negativity and error awareness in a Go/No-go task. Scientific Reports, 10(1), 4026.

    Wang, L., Hu, X., Suo, T. et al. Chinese Science Bulletin (科学通报), 64(21): 2207–2215 (2019).

    Wang, L., Liu, C., Hu, X. et al. Chinese Science Bulletin (科学通报), 61(34): 3708–3717 (2016).

    Wang, L. J., Tang, D. D., Zhao, Y. F., Hitchman, G., Wu, S. S., Tan, J. F., & Chen, A. (2015). Disentangling the impacts of outcome valence and outcome frequency on the post-error slowing. Scientific Reports, 5(1), 8708.

    Wang, L., Xu, L., Wu, S., T et al. Advances in Psychological Science (心理科学进展), 21(3), 418–428 (2013).

    Wessel, J. R. (2012). Error awareness and the error-related negativity: Evaluating the first decade of evidence. Frontiers in Human Neuroscience, 6,88.

    Wessel, J. R., Danielmeier, C., & Ullsperger, M. (2011). Error awareness revisited: Accumulation of multimodal evidence from central and autonomic nervous systems. Journal of Cognitive Neuroscience, 23(10), 3021–3036.

This Article

ISSN:0439-755X

CN: 11-1911/B

Vol 52, No. 10, Pages 1189-1198

October 2020

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Article Outline

Abstract

  • 1 Introduction
  • 2 Methods
  • 3 Results
  • 4 Discussion
  • 5 Conclusions
  • References