Abstract
Rationale
Alcohol impairs the brain's detection of performance errors as evidenced by attenuated error-related negativity (ERN), an event-related potential (ERP) thought to reflect a brain system that monitors one's behavior. However, it remains unclear whether alcohol impairs performance-monitoring capacity across a broader range of contexts, including those entailing external feedback.
Objective
This study sought to determine whether alcohol-related monitoring deficits are specific to internal recognition of errors (reflected by the ERN) or occur also in external cuing contexts. We evaluated the impact of alcohol consumption on the feedback-related negativity (FRN), an ERP thought to engage a similar process as the ERN but elicited by negative performance feedback in the environment.
Methods
In an undergraduate sample randomly assigned to drink alcohol (n = 37; average peak BAC = 0.087 g/100 ml, estimated from breath alcohol sampling) or placebo beverages (n = 42), ERP responses to gain and loss feedback were measured during a two-choice gambling task. Time–frequency analysis was used to parse the overlapping theta-FRN and delta-P3 and clarified the effects of alcohol on the measures.
Results
Alcohol intoxication attenuated both the theta-FRN and delta-P3 brain responses to feedback. The theta-FRN attenuation was stronger following loss than gain feedback.
Conclusions
Attenuation of both theta-FRN and delta-P3 components indicates that alcohol pervasively attenuates the brain's response to feedback in this task. That theta-FRN attenuation was stronger following loss trials is consistent with prior ERN findings and suggests that alcohol broadly impairs the brain's recognition of negative performance outcomes across differing contexts.
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Notes
A regression model that included the TD FRN gain–loss difference score as the DV, and theta-gain, theta-loss, delta-gain, and delta-loss as the IVs (all measured at FCz), yielded a multiple R of 0.85, F(4,74) = 49.57, p < 0.001. Theta-gain, theta-loss, delta-gain, and delta-loss each contributed uniquely to the amplitude of the TD FRN (ts[74] = −2.31, 9.47, 5.80, and −5.97, respectively, all ps < 0.03). A second regression model predicting TD P3 amplitude from these differing theta and delta component measures (measured at electrode Cz) yielded a similar outcome, F(4,74) = 181.63, p < 0.001, R = 0.95, with theta-loss, delta-gain, and delta-loss each contributing uniquely to the TD P3, ts(74) = 3.00, 4.87, and 5.06, respectively, all ps < 0.01. The predictive contribution of the theta-gain component in this case was non-significant, t(74) = 0.96, p = 0.340.
To test for possible moderating effects of gender on these primary ERP variables of interest, we re-ran the feedback × group GLMs for theta-FRN and delta-P3 with gender included as an additional between-subjects factor. For delta-P3, no interactions involving gender were found, feedback × gender, group × gender, and feedback × group × gender, Fs(1,75) = 2.41, 1.00, and 2.79, all ps ≥ 0.10. For theta-FRN, a significant three-way feedback × group × gender interaction was evident, F(1,75) = 4.72, p = 0.03. However, in two-way GLMs conducted separately for men and women, the feedback × group interaction emerged as significant in each analysis, F(1,35) = 9.58, p = 0.004 for women and F(1,40) = 4.63, p = 0.038 for men—with the three-way interaction attributable not to a difference in the nature of the two-way interaction but only to a difference in the relative magnitude of alcohol's effect on loss versus gain differentiation, with women showing greater attenuation of loss/gain differentiation as a function of alcohol (relative to placebo) than men.
Although possible differences in sample and study characteristics necessitate tentative conclusions regarding comparisons between these studies, it is worth noting that direct comparison of the theta-FRN amplitude across this and the Bernat et al. (2011) samples supports the claim that theta-FRN is more strongly affected by alcohol than trait disinhibition. Specifically, substituting the high-disinhibited subgroup (n = 94) from the Bernat et al. (2011) sample for the placebo control group indicated that, like the placebo group in the current study (both of whom completed the same experimental task), intoxicated individuals had attenuated theta-FRN in comparison to high-disinhibited participants, group F(1,92) = 21.09, p < 0.001, with relatively greater amplitude reduction for loss vs. gain trials, gain/loss × group, F(1,92) = 15.35, p < 0.001.
References
Bernat EM, Malone SM, Williams, WJ, Patrick CJ, Iacono WG (2007) Decomposing delta, theta, and alpha time-frequency ERP activity from a visual oddball task using PCA. International J Psychophysiology 64:62–74
Bernat EM, Nelson LD, Steele VR, Gehring WJ, Patrick CJ (2011) Externalizing psychopathology and brain responses to gain/loss feedback in a simulated gambling task: dissociable components of brain response revealed by time-frequency analysis. J Abnorm Psychol. doi:10.1037/a0022124
Carter CS, Braver TS, Barch DM, Botvinick MM, Noll D, Cohen JD (1998) Anterior cingulate cortex, error detection, and the online monitoring of performance. Sci 280:747–749
Colrain IM, Taylor J, McLean S, Butter R, Wise G, Montgomery I (1993) Dose dependent effects of alcohol on visual evoked potentials. Psychopharmocol 112:383–388
Curtin JJ (2000) Unpublished computer program
Curtin JJ, Fairchild BA (2003) Alcohol and cognitive control: Implications for regulation of behavior during response conflict. J Abnormal Psychol 3:424–436
Dehaene S, Posner MI, Tucker DM (1994) Localization of a neural system for error detection and compensation. Psychol Sci 5:303–305
Demiralp T, Ademoglu A, Istefanopulos Y, Başar-Eroglu C, & Başar E (2001) Wavelet analysis of oddball P300. International J Psychophysiology 39:221–227
Dikman ZV, Allen JJB (2000) Error monitoring during reward and avoidance learning in high- and low-socialized individuals. Psychophysiology 37:43–54
Donchin E (1981) Surprise!…Surprise? Psychophysiology 18:493–513
Easdon C, Izenberg A, Armilio ML, Yu H, Alain C (2005) Alcohol consumption impairs stimulus- and error-related processing during a go/no-go task. Cognit Brain Res 25:873–883
Falkenstein M, Hohnsbein J, Hoormann J (1991) Effects of crossmodal divided attention on late ERP components: II. Error processing in choice reaction tasks. Electroencephalogr Clin Neurophysiol 78:447–455
Gehring WJ, Knight RT (2000) Prefrontal–cingulate interactions in action monitoring. Nat Neurosci 3:516–520
Gehring WJ, Willoughby AR (2002) The medial frontal cortex and the rapid processing of monetary gains and losses. Sci 295:2279–2282
Gehring WJ, Willoughby AR (2004) Are all medial frontal negativities created equal? Toward a richer empirical basis for theories of action monitoring. In Ullsperger M & Falkenstein M (eds) Errors, conflicts, and the brain. Current opinions on performance monitoring. Leipzig, Germany, Max Planck Institute of Cognitive Neuroscience, pp 14–20
Gehring WJ, Goss B, Coles MGH, Meyer DE, Donchin E (1993) A neural system for error detection and compensation. Psychol Sci 4:385–390
Gilmore CS, Malone SM, Bernat EM, Iacono WG (2010) Relationship between the P3 event-related potential, its associated time-frequency components, and externalizing psychopathology. Psychophysiology 47:123–132
Hall JR, Bernat EM, Patrick CJ (2007) Externalizing psychopathology and the error-related negativity. Psychol Sci 18:326–333
Heinze HJ, Luck SJ, Mangun GR, Hillyard SA (1990) Visual event-related potentials index focused attention within bilateral stimulus arrays. I. Evidence for early selection. Electroencephalagr Clin Neurophysiol 75:511–527
Holroyd CB, Coles MGH (2002) The neural basis of human error-processing: reinforcement learning, dopamine, and the error-related negativity. Psychol Rev 109:679–709
Jääsekeläinen IP, Näätänen R, Sillanaukee P (1996) Effect of acute ethanol on auditory and visual event-related potentials: a review and reinterpretation. Biol Psychiatry 40:284–291
Krull KR, Smith LT, Sinha R, Parsons O (1993) Simple reaction time event-related potentials: effects of alcohol and sleep deprivation. Alcohol Clin Exp Res 17:771–777
Little HJ (1999) The contribution of electrophysiology to knowledge of the acute and chronic effects of ethanol. Pharmacol Ther 84:333–353
Luck SJ, Heinze HJ, Mangun GR, Hillyard SA (1990) Visual event-related potentials index focused attention within bilateral stimulus arrays. II. Functional dissociation of P1 and N1 components. Electroencephalagr Clin Neurophysiol 75:528–542
Luu P, Tucker DM, Derryberry D, Reed M, Poulsen C (2003) Electrophysiological responses to errors and feedback in the process of action regulation. Psychol Sci 14:47–53
Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24:167–202
Miltner WHR, Braun CH, Coles MGH (1997) Event-related brain potentials following incorrect feedback in a time-estimation task: evidence for a “generic” neural system for error detection. J Cognit Neurosci 9:788–798
Pailing PE, Segalowitz SJ (2004) The error-related negativity as a state and trait measure: motivation, personality, and ERPs in response to errors. Psychophysiology 41:84–95
Patrick CJ, Lang AR (1999) Psychopathic traits and intoxicated states: affective concomitants and conceptual links. In: Dawson ME, Schell AM, Böhmelt AH (eds) Startle modification: implications for neuroscience, cognitive science, and clinical science. Cambridge University Press, New York, pp 209–230
Ridderinkhof KR, de Vlugt Y, Bramlage A, Spaan M, Elton M, Snel J, Band GPH (2002) Alcohol consumption impairs detection of performance errors in mediofrontal cortex. Sci 298:2209–2211
Rohrbaugh JW, Stapleton JM, Parasuraman R, Zubovic EA, Frowein HW, Varner JL, Adinoff R et al (1987) Dose-related effects of ethanol on visual-sustained attention and event-related potentials. Alcohol 4:293–300
Semlitsch HV, Anderer P, Schuster P, Presslich O (1986) A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP. Psychophysiology 23:695–703
Skinner A (1982) The drug abuse screening test. Addict Behav 7:363–371
Skinner HA, Allen BA (1982) Alcohol dependence syndrome: measurement and validation. J Abnorm Psychol 91:199–209
Taylor SF, Stern ER, Gehring WJ (2007) Neural systems for error monitoring: recent findings and theoretical perspectives. Neuroscientist 13:160–172
Trujillo LT, Allen JJ (2007) Theta EEG dynamics of the error-related negativity. Clin Neurophysiology 118:645–668
Wall TL, Ehlers CL (1995) Acute effects of alcohol and P300 in Asians with different ALDH2 genotypes. Alcohol Clin Exp Res 19:617–622
Acknowledgements
This work was supported by grant AA12164 from the National Institute on Alcohol Abuse and Alcoholism and grants MH088143 and MH072850 from the National Institute of Mental Health.
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Nelson, L.D., Patrick, C.J., Collins, P. et al. Alcohol impairs brain reactivity to explicit loss feedback. Psychopharmacology 218, 419–428 (2011). https://doi.org/10.1007/s00213-011-2323-3
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DOI: https://doi.org/10.1007/s00213-011-2323-3