Bromocriptine does not alter speed-accuracy tradeoff

Frontiers in Neuroscience

Volumn , Issue AUG, 2012, Pages

  Winkel, Jasper ^a,b   van Maanen, Leendert ^a   Ratcliff, Roger ^c   Van der Schaaf, Marieke E ^b,d   Van Schouwenburg, Martine R ^b,d   Cools, Roshan ^b,d   Forstmann, Birte U ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c OHIO STATE UNIVERSITY   (United States)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Bromocriptine; Dopamine; Drift diffusion model; Functional magnetic resonance imaging; Linear ballistic accumulator; Model based neuroimaging; Speed accuracy tradeoff; Striatum

Indexed keywords

BROMOCRIPTINE; BROMOCRIPTINE MESILATE; DOPAMINE; DOPAMINE RECEPTOR STIMULATING AGENT;

ACCURACY; ADULT; ARTICLE; BRAIN FUNCTION; CONTROLLED STUDY; CORPUS STRIATUM; DECISION MAKING; DRIFT DIFFUSION MODEL; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MODEL; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; RESPONSE TIME; TASK PERFORMANCE;

EID: 84866369588     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2012.00126     Document Type: Article

References (55)

1. Beckmann, C. F., Jenkinson, M., and Smith, S. M. (2003). General multilevel linear modeling for group analysis in FMRI. Neuroimage 20, 1052-1063.
2. Bogacz, R., Wagenmakers, E-J., Forstmann, B. U., and Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends Neurosci. 33, 10-16.
3. Brown, S. D., and Heathcote, A. (2008). The simplest complete model of choice reaction time: linear ballistic accumulation. Cogn. Psychol. 57, 153-178.
4. Carver, C. S., and White, T. L. (1994). Behavioral-inhibition, behavioral activation, and affective responses to impending reward and punishment -the BIS BAS scales. J. Pers. Soc. Psychol. 67, 319-333.
5. Cools, R., and D'Esposito, M. (2011). Inverted-U shaped dopamine actions on human working memory and cognitive control. Biol. Psychiatry 69, e113-e125.
6. Cools, R., Frank, M. J., Gibbs, S. E., Miyakawa, A., Jagust, W., and D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. J. Neurosci. 29, 1538-1543.
7. Cools, R., Gibbs, S. E., Miyakawa, A., Jagust, W., and D'Esposito, M. (2008). Working memory capacity predicts dopamine synthesis capacity in the human striatum. J. Neurosci. 28, 1208-1212.
8. Cools, R., Sheridan, M., Jacobs, E., and D'Esposito, M. (2007). Impulsive personality predicts dopamine-dependent changes in frontostriatal activity during component processes of working memory. J. Neurosci. 27, 5506-5514.
9. Donkin, C., Brown, S., Heathcote, A., and Wagenmakers, E.-J. (2011). Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? Psychon. Bull. Rev. 18, 61-69.
10. Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E.-J., Bogacz, R., and Turner, R. (2010). Corticostriatal connections predict control over speed and accuracy in perceptual decision making. PNAS 107, 15916-15920.
11. Forstmann, B. U., Dutilh, G., Brown, S., Neumann, J., von Cramon, Y., Ridderinkhof, K. R., and Wagenmakers, E.-J. (2008). Striatum and pre-SMA facilitate decision making under time pressure. Proc. Natl. Acad. Sci. U.S.A. 105, 17538-17542.
12. Genro, J. P., Polanczyk, G. V., Zeni, C., Oliveira, A. S., Roman, T., Rohde, L. A., and Hutz, M. H. (2008). A common haplotype at the dopamine transporter gene 5' region is associated with attention-deficit/hyperactivity disorder. Am. J. Med. Genet. B Neuropsychiatr. Genet. 147B, 1568-1575.
13. Gibbs, S. E. B., and D'Esposito, M. (2005). A functional MRI study of the effects of bromocriptine, a dopamine receptor agonist, on component processes of working memory. Psychopharmacology (Berl.) 180, 644-653.
14. Gold, J. I., and Shadlen, M. N. (2007). The neural basis of decision making. Annu. Rev. Neurosci. 30, 535-574.
15. Groth-Marnat, G. (1997). The Wechsler Intelligence Scales, in Handbook of Psychological Assessment (New York: Wiley), 175-176.
16. Heekeren, H. R., Marrett, S., and Unger-leider, L. G. (2008). The neural systems that mediate human perceptual decision making. Nat. Rev. Neurosci. 9, 467-479.
17. Ho, T., Brown, T., Van Maanen, L., Forstmann, B. U., Wagenmakers, E.-J., and Serences, J. (2012). The optimality of sensory processing during the speed-accuracy tradeoff. J. Neurosci. 32, 7992-8003.
18. Iverson, G. J., Lee, M. D., and Wagenmakers, E.-J. (2008a). prep misestimates the probability of replication. Psychon. Bull. Rev. 16, 424-429.
19. Iverson, G. J., Lee, M. D., Zhang, S., and Wagenmakers, E.-J. (2008b). Prep: an agony in five fits. J. Math. Psychol. 53, 195-202.
20. Jenkinson, M., Bannister, P. R., Brady, J. M., Smith, S.M. (2002). Improved optimisation for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17, 825-841.
21. Jenkinson, M., and Smith, S. M. (2001). A global optimisation method for obust affine registration of brain images. Med. Image Anal. 5, 143-156.
22. Johansen-Berg, H., Behrens, T. E., Robson, M. D., Drobnjak, I., Rushworth, M. F., Brady, J. M., Smith, S. M., Higham, D. J., and Matthews, P. M. (2004). Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. Proc. Natl. Acad. Sci. U.S.A. 101, 13335-13340.
23. Kimberg, D. Y., D'Esposito, M., and Farah, M. J. (1997). Effects of bromocriptine on human subjects depend on working memory capacity. Neuroreport 8, 3581-3585.
24. Laakso, A., Pohjalainen, T., Bergman, J., Kajander, J., Haaparanta, M., Solin, O., Syvalahti, E., and Hietala, J. (2005). The A1 allele of the human D2 dopamine receptor gene is associated with increased activity of striatal L-amino acid decarboxylase in healthy subjects. Pharmacogenet. Genomics 15, 387-391.
25. Lo, C.-C., and Wang, X.-J. (2006). Corticobasal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat. Neurosci. 9, 956-963.
26. Mazzoni, P., and Hristova, A. (2007). Why don't we move faster? Parkinson's disease, movement vigor, and implicit motivation. J. Neurosci. 27, 7105-7116.
27. Mink, J. W. (1996). The basal ganglia: focused selection and inhibition of competing motor programs. Prog. Neurobiol. 50, 381-425.
28. Mulder, M. J., Bos, D.,Weusten, J. M. H., Van Belle, J., Van Dijk, S. C., Simen, P., Van Engeland, H., and Durston, S. (2010). Basic impairments in regulating the speed-accuracy tradeoff predict symptoms of attention-deficit/hyperactivity disorder. Biol. Psychiatry 68, 1114-1119.
29. Mulder, M. J., Wagenmakers, E. J., Ratcliff, R., Boekel, W., and Forstmann, B. U. (2012). Bias in the brain: a diffusion model analysis of prior probability and potential payoff. J. Neurosci. 32, 2335-2343.
30. Nelder, J. A., and Mead, R. (1965). A simplex method for function minimization. Comput. J. 7, 308-313.
31. Nieuwenhuis, S., Forstmann, B. U., and Wagenmakers, E-J. (2011). Erroneous analyses of interactions in neuroscience: a problem of significance. Nat. Neurosci. 14, 1105-1107.
32. Niv, Y., Daw, N. D., Joel, D., and Dayan, P. (2006). Tonic dopamine: opportunity costs and the control of response vigor. Psychopharmacology (Berl.) 191, 507-520.
33. Patton, J. H., Stanford, M. S., and Barratt, E. S. (1995). Factor structure of the Barratt impulsiveness scale. J. Clin. Psychol. 51, 768-774.
34. Ratcliff, R. (1978). A theory of memory retrieval. Psychol. Rev. 85, 59-108.
35. Ratcliff,R.,and McKoon,G. (2008). The diffusion decision model:theory and data for two-choice decision tasks. Neural. Comput. 20, 873-922.
36. Ratcliff, R., and Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychol. Sci. 9, 347-356.
37. Ratcliff, R., and Tuerlinckx, F. (2002). Estimating the parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychon. Bull. Rev. 9, 438-481.
38. Rinkenauer, G., Osman, A., Ulrich, R., Muller-Gethmann, H., and Mattes, S. (2004). On the locus of speed-accuracy tradeoff in reaction time: inferences from the lateralized readiness potential. J. Exp. Psychol. Gen. 133, 261-282.
39. Robbins, T. W., and Everitt, B. J. (2007). A role for mesencephalic dopamine in activation: commentary on Berridge (2006). Psychopharmacology (Berl.) 191, 433-437.
40. Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., and Dunbar, G. C. (1998). The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J. Clin. Psychiatry 59(Suppl. 20), 22-33. [quiz 34-57].
41. Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., and Johansen-Berg, H. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, S208-S219.
42. Spielberger, C., Gorusch, R., and Lushene, R. (1970). State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.
43. Stelzel, C., Basten, U., Montag, C., Reuter, M., and Fiebach, C. J. (2010). Frontostriatal involvement in task switching depends on genetic differences in D2 receptor density. J. Neurosci. 30, 14205-14212.
44. Van der Ploeg, H., Defares, P., and Spielberger, C. (1980). Handleiding bij de Zelfbeoordeling Vragenlijst, ZBV: Een Nederlandse bewerking van de Spielberger State-Trait-Anxiety-Inventory, STAI-DY. Lisse, NL: Swets en Zeitlinger.
45. Van Holstein, M., Aarts, E., Van der Schaaf, M. E., Geurts, D. M., Verkes, R. J., Franke, B., Van Schouwenburg, M. R., and Cools, R. (2011). Human cognitive flexibility depends on dopamine D2 receptor signaling. Psychopharmacology (Berl.) 218, 567-578.
46. Van Maanen, L., Brown, S. D., Eichele, T., Wagenmakers, E. J., Ho, T. C., Serences, J. T., and Forstmann,B. U. (2011). Neural correlates of trial-to-trial fluctuations in response-caution. J. Neurosci. 31, 17488-17495.
47. Van Veen,V., Krug, M. K., and Carter, C. S. (2008). The neural and computational basis of controlled speed -accuracy tradeoff during task performance. J. Cogn. Neurosci. 20, 1952-1965.
48. Vul, E., Harris, C., Winkielman, P., and Pashler, H. (2009). Puzzlingly high correlations in fmri studies of emotion, personality, and social cognition. Perspect. Psychol. Sci. 4, 274-290.
49. Wagenmakers, E-J. (2007). A practical solution to the pervasive problems of p values. Psychon. Bull. Rev. 14, 779-804.
50. Watson, D., Clark, L. A., and Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54, 1063-1070.
51. Wetzels, R., Raaijmakers, J. G. W., Jakab, E., and Wagenmakers, E. J. (2009). How to quantify support for and against the null hypothesis: a flexible WinBUGS implementation of a default Bayesian t-test. Psychon. Bull. Rev. 16, 752-760.
52. Wickelgren, W. A. (1977). Speed-accuracy tradeoff and information processing dynamics. Acta Psychol. (Amst.) 41, 67-85.
53. Woolrich, M. W., Behrens, T. E., Beckmann, C. F., Jenkinson, M., and Smith,S. M. (2004). Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage 21, 1732-1747.
54. Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., and Behrens, T. (2009). Bayesian analysis of neuroimaging data in FSL. Neuroimage 45, S173-S186.
55. Wylie, S. A., van den Wildenberg, W. P. M., Ridderinkhof, K. R., Bashore, T. R., Powell,V. D., Manning, C. A., and Wooten, G. F. (2009). The effect of speed-accuracy strategy on response interference in Parkinson's disease. Neuropsychologia 47, 1844-1853.