Bromocriptine Does Not Alter Speed–Accuracy Tradeoff
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Roshan Cools | Birte U. Forstmann | Leendert van Maanen | Roger Ratcliff | Jasper Winkel | Marieke E. van der Schaaf | Martine R. van Schouwenburg | R. Ratcliff | B. Forstmann | J. Winkel | R. Cools | M. E. van der Schaaf | M. V. van Schouwenburg | Leendert van Maanen | Roger Ratcliff | Roshan Cools
[1] M. Farah,et al. Effects of bromocriptine on human subjects depend on working memory capacity , 1997, Neuroreport.
[2] C. Carver,et al. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales , 1994 .
[3] A. Osman,et al. On the locus of speed-accuracy trade-off in reaction time: inferences from the lateralized readiness potential. , 2004, Journal of experimental psychology. General.
[4] Michael D. Lee,et al. prep misestimates the probability of replication , 2009, Psychonomic bulletin & review.
[5] Xiao-Jing Wang,et al. Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks , 2006, Nature Neuroscience.
[6] P. Dayan,et al. Tonic dopamine: opportunity costs and the control of response vigor , 2007, Psychopharmacology.
[7] Scott D. Brown,et al. The simplest complete model of choice response time: Linear ballistic accumulation , 2008, Cognitive Psychology.
[8] E. Wagenmakers. A practical solution to the pervasive problems ofp values , 2007, Psychonomic bulletin & review.
[9] M. D’Esposito,et al. Impulsive Personality Predicts Dopamine-Dependent Changes in Frontostriatal Activity during Component Processes of Working Memory , 2007, The Journal of Neuroscience.
[10] Roger Ratcliff,et al. The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks , 2008, Neural Computation.
[11] Merja Haaparanta,et al. The A1 allele of the human D2 dopamine receptor gene is associated with increased activity of striatal L-amino acid decarboxylase in healthy subjects , 2005, Pharmacogenetics and genomics.
[12] D. Sheehan,et al. 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. , 1998, The Journal of clinical psychiatry.
[13] K. R. Ridderinkhof,et al. Striatum and pre-SMA facilitate decision-making under time pressure , 2008, Proceedings of the National Academy of Sciences.
[14] Michael D. Lee,et al. prep: an agony in five fits , 2009 .
[15] M. D’Esposito,et al. Inverted-U–Shaped Dopamine Actions on Human Working Memory and Cognitive Control , 2011, Biological Psychiatry.
[16] R. Bogacz,et al. The neural basis of the speed–accuracy tradeoff , 2010, Trends in Neurosciences.
[17] J. Gold,et al. The neural basis of decision making. , 2007, Annual review of neuroscience.
[18] 福田 博一. State-Trait Anxiety Inventoryによるペインクリニック外来患者の不安の評価 , 1994 .
[19] G. Groth-Marnat,et al. Specific learning disabilities and difficulties in children and adolescents: The Wechsler intelligence scales , 2001 .
[20] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[21] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[22] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[23] T. Robbins,et al. A role for mesencephalic dopamine in activation: commentary on Berridge (2006) , 2007, Psychopharmacology.
[24] E. Wagenmakers,et al. Erroneous analyses of interactions in neuroscience: a problem of significance , 2011, Nature Neuroscience.
[25] Scott D. Brown,et al. The Optimality of Sensory Processing during the Speed–Accuracy Tradeoff , 2012, The Journal of Neuroscience.
[26] Timothy Edward John Behrens,et al. Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[27] Cameron S. Carter,et al. The Neural and Computational Basis of Controlled Speed-Accuracy Tradeoff during Task Performance , 2008, Journal of Cognitive Neuroscience.
[28] J. Krakauer,et al. Why Don't We Move Faster? Parkinson's Disease, Movement Vigor, and Implicit Motivation , 2007, The Journal of Neuroscience.
[29] R. Ratcliff,et al. Bias in the Brain: A Diffusion Model Analysis of Prior Probability and Potential Payoff , 2012, The Journal of Neuroscience.
[30] Mara H Hutz,et al. A common haplotype at the dopamine transporter gene 5′ region is associated with attention‐deficit/hyperactivity disorder , 2008, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.
[31] Stephen M. Smith,et al. General multilevel linear modeling for group analysis in FMRI , 2003, NeuroImage.
[32] E. Wagenmakers,et al. Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? , 2010, Psychonomic bulletin & review.
[33] D. Watson,et al. Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.
[34] H. Engeland,et al. Basic Impairments in Regulating the Speed-Accuracy Tradeoff Predict Symptoms of Attention-Deficit/Hyperactivity Disorder , 2010, Biological Psychiatry.
[35] B. Franke,et al. Human cognitive flexibility depends on dopamine D2 receptor signaling , 2011, Psychopharmacology.
[36] C. Montag,et al. Frontostriatal Involvement in Task Switching Depends on Genetic Differences in D2 Receptor Density , 2010, The Journal of Neuroscience.
[37] Leslie G. Ungerleider,et al. The neural systems that mediate human perceptual decision making , 2008, Nature Reviews Neuroscience.
[38] Wayne A. Wickelgren,et al. Speed-accuracy tradeoff and information processing dynamics , 1977 .
[39] K. R. Ridderinkhof,et al. The effect of speed-accuracy strategy on response interference control in Parkinson's disease , 2009, Neuropsychologia.
[40] Mark W. Woolrich,et al. Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.
[41] M. Frank,et al. Striatal Dopamine Predicts Outcome-Specific Reversal Learning and Its Sensitivity to Dopaminergic Drug Administration , 2009, The Journal of Neuroscience.
[42] Jeffrey N. Rouder,et al. Modeling Response Times for Two-Choice Decisions , 1998 .
[43] J. Patton,et al. Factor structure of the Barratt impulsiveness scale. , 1995, Journal of clinical psychology.
[44] Mark D'Esposito,et al. A functional MRI study of the effects of bromocriptine, a dopamine receptor agonist, on component processes of working memory , 2005, Psychopharmacology.
[45] Scott D. Brown,et al. Neural Correlates of Trial-to-Trial Fluctuations in Response Caution , 2011, The Journal of Neuroscience.
[46] M. D’Esposito,et al. Working Memory Capacity Predicts Dopamine Synthesis Capacity in the Human Striatum , 2008, The Journal of Neuroscience.
[47] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[48] Scott D. Brown,et al. Cortico-striatal connections predict control over speed and accuracy in perceptual decision making , 2010, Proceedings of the National Academy of Sciences.
[49] Mark W. Woolrich,et al. Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.
[50] H. Pashler,et al. Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1 , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.
[51] Stephen M. Smith,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[52] Roger Ratcliff,et al. A Theory of Memory Retrieval. , 1978 .
[53] J. Raaijmakers,et al. How to quantify support for and against the null hypothesis: A flexible WinBUGS implementation of a default Bayesian t test , 2009, Psychonomic bulletin & review.
[54] T. Hergueta,et al. The mini international neuropsychiatric interview , 1998, European Psychiatry.
[55] Birte U. Forstmann,et al. Neural correlates of trial-to-trial fluctuations 1 Title: Neural correlates of trial-to-trial fluctuations in response caution Abbreviated title: Neural correlates of trial-to-trial fluctuations , 2011 .
[56] J. Mink. THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION OF COMPETING MOTOR PROGRAMS , 1996, Progress in Neurobiology.
[57] R. Ratcliff,et al. Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability , 2002, Psychonomic bulletin & review.