The impact of MRI scanner environment on perceptual decision-making
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Max C. Keuken | Birte U. Forstmann | Andrew Heathcote | Leendert van Maanen | Eric-Jan Wagenmakers | E. Wagenmakers | B. Forstmann | A. Heathcote | M. C. Keuken | Leendert van Maanen
[1] Wolfhard Semmler,et al. Cognition and sensation in very high static magnetic fields: a randomized case-crossover study with different field strengths. , 2013, Radiology.
[2] D. Algom,et al. Selective attention improves under stress: implications for theories of social cognition. , 2003, Journal of personality and social psychology.
[3] Jeffrey N. Rouder,et al. Default Bayes factors for ANOVA designs , 2012 .
[4] M. Botvinick,et al. Conflict monitoring and cognitive control. , 2001, Psychological review.
[5] A. Lazarte,et al. Component fears of claustrophobia associated with mock magnetic resonance imaging. , 2007, Journal of anxiety disorders.
[6] Adrian E. Raftery,et al. Bayesian Model Averaging: A Tutorial , 2016 .
[7] Birte U. Forstmann,et al. Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution , 2014, NeuroImage.
[8] D Atkinson,et al. Determination of gradient magnetic field‐induced acoustic noise associated with the use of echo planar and three‐dimensional, fast spin echo techniques , 1998, Journal of magnetic resonance imaging : JMRI.
[9] Adrian E. Raftery,et al. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .
[10] Wolfhard Semmler,et al. Effects of static magnetic fields on cognition, vital signs, and sensory perception: A meta‐analysis , 2011, Journal of magnetic resonance imaging : JMRI.
[11] Clemens Kirschbaum,et al. Within and between session changes in subjective and neuroendocrine stress parameters during magnetic resonance imaging: A controlled scanner training study , 2012, Psychoneuroendocrinology.
[12] E. Donchin,et al. Optimizing the use of information: strategic control of activation of responses. , 1992, Journal of experimental psychology. General.
[13] B. Hommel,et al. The Effect of Fmri (noise) on Cognitive Control , 2022 .
[14] Scott D. Brown,et al. The hare and the tortoise: emphasizing speed can change the evidence used to make decisions. , 2014, Journal of experimental psychology. Learning, memory, and cognition.
[15] L. Shah,et al. Functional magnetic resonance imaging. , 2010, Seminars in roentgenology.
[16] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[17] R. Ratcliff,et al. Bias in the Brain: A Diffusion Model Analysis of Prior Probability and Potential Payoff , 2012, The Journal of Neuroscience.
[18] I. Lemahieu,et al. Effect of the static magnetic field of the MR-scanner on ERPs: Evaluation of visual, cognitive and motor potentials , 2010, Clinical Neurophysiology.
[19] A. Pouget,et al. Variance as a Signature of Neural Computations during Decision Making , 2011, Neuron.
[20] R. Ratcliff,et al. Diffusion model for one-choice reaction-time tasks and the cognitive effects of sleep deprivation , 2011, Proceedings of the National Academy of Sciences.
[21] M. Lee,et al. Bayesian Cognitive Modeling: A Practical Course , 2014 .
[22] Keith R Thulborn,et al. Safety of human MRI at static fields above the FDA 8T guideline: Sodium imaging at 9.4T does not affect vital signs or cognitive ability , 2007, Journal of magnetic resonance imaging : JMRI.
[23] Charles E. Collyer,et al. Comparing strong and weak models by fitting them to computer-generated data , 1985 .
[24] Scott D. Brown,et al. The Optimality of Sensory Processing during the Speed–Accuracy Tradeoff , 2012, The Journal of Neuroscience.
[25] Yul-Wan Sung,et al. Functional magnetic resonance imaging , 2004, Scholarpedia.
[26] Andrew Heathcote,et al. Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator , 2011 .
[27] Leendert van Maanen,et al. UvA-DARE ( Digital Academic Repository ) Are accuracy and reaction time affected via different processes ? , 2013 .
[28] Hedderik van Rijn,et al. The Locus of the Gratton Effect in Picture-Word Interference , 2010, Top. Cogn. Sci..
[29] B. Hommel,et al. A feature-integration account of sequential effects in the Simon task , 2004, Psychological research.
[30] Wayne A. Wickelgren,et al. Speed-accuracy tradeoff and information processing dynamics , 1977 .
[31] M. Shadlen,et al. The effect of stimulus strength on the speed and accuracy of a perceptual decision. , 2005, Journal of vision.
[32] M. Dambacher,et al. Time pressure affects the efficiency of perceptual processing in decisions under conflict , 2014, Psychological Research.
[33] H. Engeland,et al. Basic Impairments in Regulating the Speed-Accuracy Tradeoff Predict Symptoms of Attention-Deficit/Hyperactivity Disorder , 2010, Biological Psychiatry.
[34] Richard D. Morey,et al. BayesFactor version 0.9.9: An R package for computing Bayes factor for a variety of psychological research designs , 2014 .
[35] R. Ratcliff,et al. Diffusion models of the flanker task: Discrete versus gradual attentional selection , 2011, Cognitive Psychology.
[36] S. Sinha. Introduction to Bayesian Statistics (2nd ed.) , 2008 .
[37] Scott D. Brown,et al. The Neural Substrate of Prior Information in Perceptual Decision Making: A Model-Based Analysis , 2010, Front. Hum. Neurosci..
[38] R. Karg,et al. Fear responses to mock magnetic resonance imaging among college students: toward a prototype experiment. , 2003, Journal of anxiety disorders.
[39] M. Masson,et al. Using confidence intervals in within-subject designs , 1994, Psychonomic bulletin & review.
[40] Ewald Moser,et al. EEG reveals the effect of fMRI scanner noise on noise-sensitive subjects , 2006, NeuroImage.
[41] R. Bogacz,et al. The neural basis of the speed–accuracy tradeoff , 2010, Trends in Neurosciences.
[42] I. J. Myung,et al. Applying Occam’s razor in modeling cognition: A Bayesian approach , 1997 .
[43] E. Wagenmakers,et al. AIC model selection using Akaike weights , 2004, Psychonomic bulletin & review.
[44] Birte U. Forstmann,et al. Piéron’s Law and Optimal Behavior in Perceptual Decision-Making , 2012, Front. Neurosci..
[45] Scott D. Brown,et al. Domain General Mechanisms of Perceptual Decision Making in Human Cortex , 2009, The Journal of Neuroscience.
[46] Scott D. Brown,et al. Neural Correlates of Trial-to-Trial Fluctuations in Response Caution , 2011, The Journal of Neuroscience.
[47] L. M. M.-T.. Theory of Probability , 1929, Nature.
[48] Scott D. Brown,et al. Similarity and number of alternatives in the random-dot motion paradigm , 2012, Attention, perception & psychophysics.
[49] Niels Taatgen,et al. RACE/A: An Architectural Account of the Interactions Between Learning, Task Control, and Retrieval Dynamics , 2012, Cogn. Sci..
[50] A. Raftery. Bayesian Model Selection in Social Research , 1995 .
[51] G. W. Haywood,et al. Effects of static , 1979 .
[52] K. Koch. Introduction to Bayesian Statistics , 2007 .
[53] R. Sekuler,et al. A specific and enduring improvement in visual motion discrimination. , 1982, Science.
[54] L. Joseph,et al. Bayesian Statistics: An Introduction , 1989 .
[55] Roshan Cools,et al. Bromocriptine Does Not Alter Speed–Accuracy Tradeoff , 2012, Front. Neurosci..
[56] K. R. Ridderinkhof,et al. Striatum and pre-SMA facilitate decision-making under time pressure , 2008, Proceedings of the National Academy of Sciences.
[57] E. Wagenmakers,et al. The speed and accuracy of perceptual decisions in a random-tone pitch task , 2013, Attention, Perception, & Psychophysics.
[58] K. S. Wakefield,et al. Effects of static , 1979 .
[59] Guilherme Wood,et al. Are reaction times obtained during fMRI scanning reliable and valid measures of behavior? , 2013, Experimental Brain Research.
[60] Wolfgang Prinz,et al. Equivalence of cognitive processes in brain imaging and behavioral studies: evidence from task switching , 2003, NeuroImage.
[61] Richard P. Heitz,et al. Neural Mechanisms of Speed-Accuracy Tradeoff , 2012, Neuron.
[62] Rico Fischer,et al. Inflexibly Focused under Stress: Acute Psychosocial Stress Increases Shielding of Action Goals at the Expense of Reduced Cognitive Flexibility with Increasing Time Lag to the Stressor , 2011, Journal of Cognitive Neuroscience.
[63] Andrew Heathcote,et al. Linear Deterministic Accumulator Models of Simple Choice , 2012, Front. Psychology.
[64] B. Forstmann,et al. Perceptual decision neurosciences – A model-based review , 2014, Neuroscience.
[65] Ion Juvina,et al. A repetition-suppression account of between-trial effects in a modified Stroop paradigm. , 2009, Acta psychologica.
[66] Richard R Plant,et al. Millisecond precision psychological research in a world of commodity computers: New hardware, new problems? , 2009, Behavior research methods.
[67] Scott D. Brown,et al. The simplest complete model of choice response time: Linear ballistic accumulation , 2008, Cognitive Psychology.
[68] E. Wagenmakers,et al. An Introduction to Model-Based Cognitive Neuroscience , 2015, Springer New York.
[69] Andrew Heathcote,et al. Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator , 2009, Behavior research methods.
[70] B. Balas,et al. Personal Familiarity Influences the Processing of Upright and Inverted Faces in Infants , 2009, Front. Hum. Neurosci..
[71] H. Akaike. A new look at the statistical model identification , 1974 .