The good, the bad and the neutral: Electrophysiological responses to feedback stimuli

Brain Research

Volumn 1105, Issue 1, 2006, Pages 93-101

  Holroyd, Clay B ^a   Hajcak, Greg ^b   Larsen, Jeff T ^c  

^a UNIVERSITY OF VICTORIA   (Canada)

^b UNIVERSITY OF DELAWARE   (United States)

^c TEXAS TECH UNIVERSITY   (United States)

Author keywords

Event related brain potential; Feedback error related negativity; Punishment; Reinforcement learning; Reward; Trial and error learning

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROPHYSIOLOGY; EVENT RELATED POTENTIAL; FEEDBACK ERROR RELATED NEGATIVITY; FEEDBACK SYSTEM; FEMALE; HUMAN; LEARNING; MALE; MENTAL TASK; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PUNISHMENT; REINFORCEMENT; REWARD;

ADULT; ANALYSIS OF VARIANCE; BRAIN MAPPING; CHOICE BEHAVIOR; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS; FEEDBACK, PSYCHOLOGICAL; FEMALE; HUMANS; MALE; PSYCHOMOTOR PERFORMANCE; REACTION TIME; REINFORCEMENT (PSYCHOLOGY);

FILICOPHYTA;

EID: 33746801963     PISSN: 00068993     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.brainres.2005.12.015     Document Type: Article

References (39)

1. Amiez C., Joseph J.-P., and Procyk E. Anterior cingulate error-related activity is modulated by predicted reward. Eur. J. Neurosci. 21 (2005) 3447-3452
2. Aron A.R., Shohamy D., Clark J., Myers C., Gluck M.A., and Poldrack R.A. Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning. J. Neurophysiol. 92 (2004) 1144-1152
3. Barto A.G. Adaptive critics and the basal ganglia. In: Houk J., Davis J., and Beiser D. (Eds). Models of Information Processing in the Basal Ganglia (1995), MIT Press, Cambridge, MA 215-232
4. Cohen J.D., and Blum K.I. Reward and decision. Neuron 36 (2002) 1-20
5. Cook III E.W. VPM Reference Manual (1992), Author, Birmingham, AL
6. Cook E.W., and Miller G.A. Digital filtering-background and tutorial for psychophysiologists. Psychophysiology 29 (1992) 350-367
7. Egelman D.M., Person C., and Montague P.R. A computational role for dopamine delivery in human decision-making. J. Cogn. Neurosci. 10 (1998) 623-630
8. Gehring W.J., and Willoughby A.R. All are medial frontal negativities created equal? Toward a richer empirical basis for theories of action monitoring. In: Ullsperger M., and Falkenstein M. (Eds). Errors, Conflicts, and the Brain: Current Opinions on Performance Monitoring. MPI of Cognitive Neuroscience, Leipzig (2004) 14-20
9. Gratton G., Coles M.G.H., and Donchin E. A new method for off-line removal of ocular artifact. Electroencephalogr. Clin. Neurophysiol. 55 (1983) 468-484
10. Hajcak G., Holroyd C.B., Moser J.S., and Simons R.F. Brain potentials associated with expected and unexpected good and bad outcomes. Psychophysiology 42 (2005) 161-170
11. Hajcak, G., Moser, J., Holroyd, C.B., Simons, R.F., in press. The feedback-related negativity reflects the binary evaluation of good versus bad outcomes, Biol. Psychol.
12. Holroyd C.B. A note on the N200 and the feedback ERN. In: Ullsperger M., and Falkenstein M. (Eds). Errors, Conflicts, and the Brain: Current Opinions on Performance Monitoring. MPI of Cognitive Neuroscience, Leipzig (2004) 211-218
13. Holroyd C.B., and Coles M.G.H. The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. Psychol. Rev. 109 (2002) 679-709
14. Holroyd C.B., Nieuwenhuis S., Yeung N., and Cohen J.D. Errors in reward prediction are reflected in the event-related brain potential. NeuroReport 14 (2003) 2481-2484
15. Holroyd C.B., Larsen J.T., and Cohen J.D. Context dependence of the event-related brain potential associated with reward and punishment. Psychophysiology 41 (2004) 245-253
16. Holroyd C.B., Nieuwenhuis S., Mars R., and Coles M.G.H. Anterior cingulate cortex, selection for action, and error processing. In: Posner M. (Ed). Cognitive Neuroscience of Attention (2004), Guilford Publishing, Inc, New York 219-231
17. Holroyd C.B., Yeung N., Coles M.G.H., and Cohen J.D. A mechanism for error detection in speeded response time tasks. J. Exp. Psychol. Gen. 134 (2005) 163-191
18. Jasper H.H. The ten twenty electrode system of the international federation. Electroencephalogr. Clin. Neurophysiol. 10 (1958) 371-375
19. Keselman H.J., and Rogan J.C. Repeated measures F tests and psychophysiological research: Controlling the number of false positives. Psychophysiology 17 (1980) 499-503
20. Miller E.K., and Cohen J.D. An integrative theory of prefrontal cortex function. Annu. Rev. Neurosci. 24 (2001) 167-202
21. Miltner W.H.R., Braun C.H., and Coles M.G.H. Event-related brain potentials following incorrect feedback in a time-estimation task: evidence for a "generic" neural system for error detection. J. Cogn. Neurosci. 9 (1997) 788-798
22. Montague P.R., Dayan P., and Sejnowski T.J. A framework for mesencephalic dopamine systems based on predictive Hebbian learning. J. Neurosci. 16 (1996) 1936-1947
23. Montague P.R., Hyman S.E., and Cohen J.D. Computational roles for dopamine in behavioral control. Nature 431 (2004) 760-767
24. Muller S.V., Moller J., Rodriguez-Fornells A., and Munte T.F. Brain potentials related to self-generated and external information used for performance monitoring. Clin. Neurophysiol. 116 (2005) 63-74
25. Nakahara H., Itoh H., Kawagoe R., Takikawa Y., and Hikosaka O. Dopamine neurons can represent context-dependent prediction error. Neuron 41 (2004) 269-280
26. Nieuwenhuis S., Holroyd C.B., Mol N., and Coles M.G.H. Reinforcement-related brain potentials from medial frontal cortex: origins and functional significance. Neurosci. Biobehav. Rev. 28 (2004) 441-448
27. Nieuwenhuis S., Heslenfeld D., Alting von Geusau N.J., Mars R.B., Holroyd C.B., and Yeung N. Activity in human reward-sensitive brain areas is strongly context dependent. NeuroImage 25 (2005) 1302-1309
28. Nieuwenhuis S., Slagter H.A., von Geusau N.J.A., Heslenfeld D., and Holroyd C.B. Knowing good from bad: differential activation of human cortical areas by positive and negative outcomes. Eur. J. Neurosci. 21 (2005) 3161-3168
29. Schultz W. Getting formal with dopamine and reward. Neuron 36 (2002) 241-263
30. Suri R.E. TD models of reward predictive responses in dopamine neurons. Neural Netw. 15 (2002) 523-533
31. Sutton R.S., and Barto A.G. Reinforcement Learning: An introduction (1998), MIT Press, Cambridge, MA
32. Tobler P.N., Fiorillo C.D., and Schultz W. Adaptive coding of reward value by dopamine neurons. Science 307 (2005) 1642-1645
33. Tversky A., and Kahneman D. Judgment under uncertainty: heuristics and biases. Science 185 (1974) 1124-1131
34. Ullsperger, M., von Cramon, D.Y., in press, The role of intact frontostriatal circuits in error processing, J. Cogn. Neurosci.
35. Van Veen V., Holroyd C.B., Cohen J.D., Stenger V.A., and Carter C.S. Errors without conflict: implication for performance monitoring theories of anterior cingulate cortex. Brain Cogn. 56 (2004) 267-276
36. Vidal F., Burle B., Bonnet M., Grapperon J., and Hasbroucq T. Error negativity on correct trials: a reexamination of available data. Biol. Psychol. 64 (2003) 265-282
37. Walton M.E., Croxson P.L., Rushworth M.F.S., and Bannerman D.M. The mesocortical dopamine projection to anterior cingulate cortex plays no role in guiding effort-related decisions. Behav. Neurosci. 119 (2005) 323-328
38. Yeung N., and Sanfey A.G. Independent coding of reward magnitude and valence in the human brain. J. Neurosci. 24 (2004) 6258-6264
39. Yeung N., Holroyd C.B., and Cohen J.D. ERP correlates of feedback and reward processing in the presence and absence of response choice. Cereb. Cortex 15 (2005) 535-544