Genetic variation in dopamine moderates neural response during reward anticipation and delivery: Evidence from event-related potentials

Psychophysiology

Volumn 49, Issue 5, 2012, Pages 617-626

  Foti, Dan ^a   Hajcak, Greg ^a  

^a STONY BROOK UNIVERSITY   (United States)

Author keywords

EEG ERP; Genetics; Individual differences

Indexed keywords

EID: 84859612131     PISSN: 00485772     EISSN: 14698986     Source Type: Journal    
DOI: 10.1111/j.1469-8986.2011.01343.x     Document Type: Article

References (60)

1. Berridge, K. C., & Robinson, T. E. (2003). Parsing reward. Trends in Neurosciences, 26, 507-513. doi: 10.1016/S0166-2236(03)00233-9
2. Bilder, R. M., Volavka, J., Lachman, H. M., & Grace, A. A. (2004). The catechol-O-methyltransferase polymorphism: Relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes. Neuropsychopharmacology, 29, 1943-1961. doi: 10.1038/sj.npp.1300542
3. Bocker, K. B., Brunia, C. H., & van den Berg-Lenssen, M. M. (1994). A spatiotemporal dipole model of the stimulus preceding negativity (SPN) prior to feedback stimuli. Brain Topography, 7, 71-88. doi: 10.1007/BF01184839
4. Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001). Functional imaging of neural responses to expectancy and experience of monetary gains and losses. Neuron, 30, 619-639. doi: 10.1016/S0896-6273(01)00303-8
5. Brunia, C. H. (1988). Movement and stimulus preceding negativity. Biological Psychology, 26, 165-178. doi: 10.1016/0301-0511(88)90018-X
6. Brunia, C. H., & Damen, E. J. (1988). Distribution of slow brain potentials related to motor preparation and stimulus anticipation in a time estimation task. Electroencephalography and Clinical Neurophysiology, 69, 234-243. doi: 10.1016/0013-4694(88)90132-0
7. Brunia, C. H., de Jong, B. M., van den Berg-Lenssen, M. M., & Paans, A. M. (2000). Visual feedback about time estimation is related to a right hemisphere activation measured by PET. Experimental Brain Research, 130, 328-337. doi: 10.1007/s00221990029
8. Camara, E., Kramer, U. M., Cunillera, T., Marco-Pallares, J., Cucurell, D., Nager, W., Mestres-Misse, A., ... Münte, T. F. (2010). The effects of COMT (Val108/158Met) and DRD4 (SNP -521) dopamine genotypes on brain activations related to valence and magnitude of rewards. Cerebral Cortex, 20, 1985-1996. doi: 10.1093/cercor/bhp263
9. Carlson, J. M., Foti, D., Mujica-Parodi, L. R., Harmon-Jones, E., & Hajcak, G. (2011). Ventral striatal and medial prefrontal BOLD activation is correlated with reward-related electrocortical activity: A combined ERP and fMRI study. NeuroImage, 57, 1608-1616. doi: 10.1016/j.neuroimage.2011.05.037
10. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.
11. Colzato, L. S., Waszak, F., Nieuwenhuis, S., Posthuma, D., & Hommel, B. (2010). The flexible mind is associated with the catechol-O-methyltransferase (COMT) Val158Met polymorphism: Evidence for a role of dopamine in the control of task-switching. Neuropsychologia, 48, 2764-2768. doi: 10.1016/j.neuropsychologia.2010.04.023
12. Damen, E. J., & Brunia, C. H. (1987). Changes in heart rate and slow brain potentials related to motor preparation and stimulus anticipation in a time estimation task. Psychophysiology, 24, 700-713. doi: 10.1111/j.1469-8986.1987.tb00353.x
13. Dien, J. (2010a). The ERP PCA Toolkit: An open source program for advanced statistical analysis of event-related potential data. Journal of Neuroscience Methods, 187, 138-145. doi: 10.1016/j.jneumeth.2009.12.009
14. Dien, J. (2010b). Evaluating two-step PCA of ERP data with Geomin, Infomax, Oblimin, Promax, and Varimax rotations. Psychophysiology, 47, 170-183. doi: 10.1111/j.1469-8986.2009.00885.x
15. Dreher, J. C., Kohn, P., Kolachana, B., Weinberger, D. R., & Berman, K. F. (2009). Variation in dopamine genes influences responsivity of the human reward system. Proceedings of the National Academy of Sciences, USA, 106, 617-622. doi: 10.1073/pnas.0805517106
16. Dunning, J. P., & Hajcak, G. (2007). Error-related negativities elicited by monetary loss and cues that predict loss. NeuroReport, 18, 1875-1878. doi: 10.1097/WNR.0b013e3282f0d50b
17. Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science, 299, 1898-1902. doi: 10.1126/science.1077349
18. Forbes, E. E. (2009). Where's the fun in that? Broadening the focus on reward function in depression. Biological Psychiatry, 66, 199-200. doi: 10.1016/j.biopsych.2009.05.001
19. Forbes, E. E., Brown, S. M., Kimak, M., Ferrell, R. E., Manuck, S. B., & Hariri, A. R. (2009). Genetic variation in components of dopamine neurotransmission impacts ventral striatal reactivity associated with impulsivity. Molecular Psychiatry, 14, 60-70. doi: 10.1038/sj.mp.4002086
20. Foti, D., & Hajcak, G. (2009). Depression and reduced sensitivity to non-rewards versus rewards: Evidence from event-related potentials. Biological Psychology, 81, 1-8. doi: 10.1016/j.biopsycho.2008.12.004
21. Foti, D., Weinberg, A., Dien, J., & Hajcak, G. (2011). Event-related potential activity in the basal ganglia differentiates rewards from non-rewards: Temporospatial principal components analysis and source localization of the feedback negativity. Human Brain Mapping, 32, 2207-2216. doi: 10.1002/hbm.21182
22. Gehring, W. J., & Willoughby, A. R. (2002). The medial frontal cortex and the rapid processing of monetary gains and losses. Science, 295, 2279-2282. doi: 10.1126/science.1066893
23. Gratton, G., Coles, M. G., & Donchin, E. (1983). A new method for off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology, 55, 468-484. doi: 10.1016/0013-4694(83)90135-9
24. Hajcak, G., Moser, J. S., Holroyd, C. B., & Simons, R. F. (2006). The feedback-related negativity reflects the binary evaluation of good versus bad outcomes. Biological Psychology, 71, 148-154. doi: 10.1016/j.biopsycho.2005.04.001
25. Hajcak, G., Moser, J. S., Holroyd, C. B., & Simons, R. F. (2007). It's worse than you thought: The feedback negativity and violations of reward prediction in gambling tasks. Psychophysiology, 44, 905-912. doi: 10.1111/j.1469-8986.2007.00567.x
26. Herrmann, M. J., Wurflein, H., Schreppel, T., Koehler, S., Muhlberger, A., Reif, A., Canli, T., ... Fallgatter, A. J. (2009). Catechol-O-methyltransferase Val158Met genotype affects neural correlates of aversive stimuli processing. Cognitive, Affective, and Behavioral Neuroscience, 9, 168-172. doi: 10.3758/CABN.9.2.168
27. Holroyd, C. B., & Coles, M. G. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679-709. doi: 10.1037/0033-295X.109.4.679
28. Holroyd, C. B., & Krigolson, O. E. (2007). Reward prediction error signals associated with a modified time estimation task. Psychophysiology, 44, 913-917. doi: 10.1111/j.1469-8986.2007.00561.x
29. Holroyd, C. B., Krigolson, O. E., & Lee, S. (2011). Reward positivity elicited by predictive cues. NeuroReport, 22, 249-252. doi: 10.1097/WNR.0b013e328345441d
30. Holroyd, C. B., Pakzad-Vaezi, K. L., & Krigolson, O. E. (2008). The feedback correct-related positivity: Sensitivity of the event-related brain potential to unexpected positive feedback. Psychophysiology, 45, 688-697. doi: 10.1111/j.1469-8986.2008.00668.x
31. Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008). Neural responses to monetary incentives in major depression. Biological Psychiatry, 63, 686-692. doi: 10.1016/j.biopsych.2007.07.023
32. Knutson, B., Fong, G. W., Adams, C. M., Varner, J. L., & Hommer, D. (2001). Dissociation of reward anticipation and outcome with event-related fMRI. NeuroReport, 12, 3683-3687.
33. Kotani, Y., Hiraku, S., Suda, K., & Aihara, Y. (2001). Effect of positive and negative emotion on stimulus-preceding negativity prior to feedback stimuli. Psychophysiology, 38, 873-878. doi: 10.1111/1469-8986.3860873
34. Kotani, Y., Kishida, S., Hiraku, S., Suda, K., Ishii, M., & Aihara, Y. (2003). Effects of information and reward on stimulus-preceding negativity prior to feedback stimuli. Psychophysiology, 40, 818-826. doi: 10.1111/1469-8986.00082
35. Kotani, Y., Ohgami, Y., Kuramoto, Y., Tsukamoto, T., Inoue, Y., & Aihara, Y. (2009). The role of the right anterior insular cortex in the right hemisphere preponderance of stimulus-preceding negativity (SPN): An fMRI study. Neuroscience Letters, 450, 75-79. doi: 10.1016/j.neulet.2008.11.032
36. Krugel, L. K., Biele, G., Mohr, P. N., Li, S. C., & Heekeren, H. R. (2009). Genetic variation in dopaminergic neuromodulation influences the ability to rapidly and flexibly adapt decisions. Proceedings of the National Academy of Sciences, USA, 106, 17951-17956. doi: 10.1073/pnas.0905191106
37. Lachman, H. M., Papolos, D. F., Saito, T., Yu, Y. M., Szumlanski, C. L., & Weinshilboum, R. M. (1996). Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics, 6, 243-250.
38. Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales. Sydney: Psychology Foundation.
39. Luhmann, C. C., Ishida, K., & Hajcak, G. (2011). Intolerance of uncertainty and decisions about delayed, probabilistic rewards. Behavior Therapy, 42, 378-386. doi: 10.1016/j.beth.2010.09.002
40. Marco-Pallares, J., Cucurell, D., Cunillera, T., Kramer, U. M., Camara, E., Nager, W., Bauer, P., ... Rodriguez-Fornells, A. (2009). Genetic variability in the dopamine system (dopamine receptor D4, catechol-O-methyltransferase) modulates neurophysiological responses to gains and losses. Biological Psychiatry, 66, 154-161. doi: 10.1016/j.biopsych.2009.01.006
41. Masaki, H., Takeuchi, S., Gehring, W. J., Takasawa, N., & Yamazaki, K. (2006). Affective-motivational influences on feedback-related ERPs in a gambling task. Brain Research, 1105, 110-121. doi: 10.1016/j.brainres.2006.01.022
42. Masaki, H., Yamazaki, K., & Hackley, S. A. (2010). Stimulus-preceding negativity is modulated by action-outcome contingency. NeuroReport, 21, 277-281. doi: 10.1097/WNR.0b013e3283360bc3
43. Mattox, S. T., Valle-Inclan, F., & Hackley, S. A. (2006). Psychophysiological evidence for impaired reward anticipation in Parkinson's disease. Clinical Neurophysiology, 117, 2144-2153. doi: 10.1016/j.clinph.2006.05.026
44. McCabe, C., Cowen, P. J., & Harmer, C. J. (2009). Neural representation of reward in recovered depressed patients. Psychopharmacology (Berlin), 205, 667-677. doi: 10.1007/s00213-009-1573-9
45. Montag, C., Buckholtz, J. W., Hartmann, P., Merz, M., Burk, C., Hennig, J., & Reuter, M. (2008). COMT genetic variation affects fear processing: Psychophysiological evidence. Behavioral Neuroscience, 122, 901-909. doi: 10.1037/0735-7044.122.4.901
46. Nestler, E. J., & Carlezon, W. A., Jr. (2006). The mesolimbic dopamine reward circuit in depression. Biological Psychiatry, 59, 1151-1159. doi: 10.1016/j.biopsych.2005.09.018
47. Ohgami, Y., Kotani, Y., Hiraku, S., Aihara, Y., & Ishii, M. (2004). Effects of reward and stimulus modality on stimulus-preceding negativity. Psychophysiology, 41, 729-738. doi: 10.1111/j.1469-8986.2004.00203.x
48. Pizzagalli, D. A., Holmes, A. J., Dillon, D. G., Goetz, E. L., Birk, J. L., Bogdan, R., Dougherty, D. D., ... Fava, M. (2009). Reduced caudate and nucleus accumbens response to rewards in unmedicated individuals with major depressive disorder. American Journal of Psychiatry, 166, 702-710. doi: 10.1176/appi.ajp.2008.08081201
49. Poli, S., Sarlo, M., Bortoletto, M., Buodo, G., & Palomba, D. (2007). Stimulus-Preceding Negativity and heart rate changes in anticipation of affective pictures. International Journal of Psychophysiology, 65, 32-39. doi: 10.1016/j.ijpsycho.2007.02.008
50. Sato, A., Yasuda, A., Ohira, H., Miyawaki, K., Nishikawa, M., Kumano, H., & Kuboki, T. (2005). Effects of value and reward magnitude on feedback negativity and P300. NeuroReport, 16, 407-411. doi: 00001756-200503150-00020 [pii]
51. Schmack, K., Schlagenhauf, F., Sterzer, P., Wrase, J., Beck, A., Dembler, T., Kalus, P., ... Gallinat, J. (2008). Catechol-O-methyltransferase val158met genotype influences neural processing of reward anticipation. NeuroImage, 42, 1631-1638. doi: 10.1016/j.neuroimage.2008.06.019
52. Schultz, W. (2007a). Behavioral dopamine signals. Trends in Neurosciences, 30, 203-210. doi: 10.1016/j.tins.2007.03.007
53. Schultz, W. (2007b). Multiple dopamine functions at different time courses. Annual Review of Neuroscience, 30, 259-288. doi: 10.1146/annurev.neuro.28.061604.135722
54. Shankman, S. A., Klein, D. N., Tenke, C. E., & Bruder, G. E. (2007). Reward sensitivity in depression: A biobehavioral study. Journal of Abnormal Psychology, 116, 95-104. doi: 10.1037/0021-843X.116.1.95
55. Smolka, M. N., Schumann, G., Wrase, J., Grusser, S. M., Flor, H., Mann, K., Braus, D. F., ... Heinz, A. (2005). Catechol-O-methyltransferase val158met genotype affects processing of emotional stimuli in the amygdala and prefrontal cortex. Journal of Neuroscience, 25, 836-842. doi: 10.1523/JNEUROSCI.1792-04.2005
56. Smoski, M. J., Felder, J., Bizzell, J., Green, S. R., Ernst, M., Lynch, T. R., & Dichter, G. S. (2009). fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder. Journal of Affective Disorders, 118, 69-78. doi: 10.1016/j.jad.2009.01.034
57. Tobler, P. N., O'Doherty, J. P., Dolan, R. J., & Schultz, W. (2007). Reward value coding distinct from risk attitude-related uncertainty coding in human reward systems. Journal of Neurophysiology, 97, 1621-1632. doi: 10.1152/jn.00745.2006
58. Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297-323. doi: 10.1007/BF00122574
59. Yacubian, J., Sommer, T., Schroeder, K., Glascher, J., Kalisch, R., Leuenberger, B., Braus, D. F., ... Büchel, C. (2007). Gene-gene interaction associated with neural reward sensitivity. Proceedings of the National Academy of Sciences, USA, 104, 8125-8130. doi: 10.1073/pnas.0702029104
60. Yeung, N., & Sanfey, A. G. (2004). Independent coding of reward magnitude and valence in the human brain. Journal of Neuroscience, 24, 6258-6264. doi: 10.1523/JNEUROSCI.4537-03.2004