Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution

The contingent negative variation, a slow cortical potential, occurs when humans are warned by a stimulus about an upcoming task. The cognitive processes that give rise to this EEG potential are not yet well understood. To explain these processes, we adopt a recently developed theoretical framework from the area of perceptual decision-making. This framework assumes that the basal ganglia control the tradeoff between fast and accurate decision-making in the cortex. It suggests that an increase in cortical excitability serves to lower response caution, which results in faster but more error prone responding. We propose that the CNV reflects this increased cortical excitability. To test this hypothesis, we conducted an EEG experiment in which participants performed the random dot motion task either under speed or under accuracy stress. Our results show that trial-by-trial fluctuations in participants' response speed as well as model-based estimates of response caution correlated with single-trial CNV amplitude under conditions of speed but not accuracy stress. We conclude that the CNV might reflect adjustments of response caution, which serves to enhance quick decision-making.

[1]  Tadeusz W. Kononowicz,et al.  Slow Potentials in Time Estimation: The Role of Temporal Accumulation and Habituation , 2011, Front. Integr. Neurosci..

[2]  Rolf Ulrich,et al.  Locus of the effect of temporal preparation: evidence from the lateralized readiness potential. , 2003, Psychophysiology.

[3]  M. Shadlen,et al.  The effect of stimulus strength on the speed and accuracy of a perceptual decision. , 2005, Journal of vision.

[4]  J. Movshon,et al.  The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  Rolf Ulrich,et al.  Preparing for Action: Inferences from CNV and LRP , 2004 .

[6]  Marina Schmid,et al.  An Introduction To The Event Related Potential Technique , 2016 .

[7]  John W. Rohrbaugh,et al.  13 Sensory and Motor Aspects of the Contingent Negative Variation , 1983 .

[8]  D. Bates,et al.  Linear Mixed-Effects Models using 'Eigen' and S4 , 2015 .

[9]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[10]  Andrzej T. Galecki,et al.  Linear mixed-effects models using R , 2013 .

[11]  C M Moore,et al.  Bisecting RT with lateralized readiness potentials: precue effects of LRP onset. , 1995, Acta psychologica.

[12]  Stephan Bender,et al.  Specific task anticipation versus unspecific orienting reaction during early contingent negative variation , 2004, Clinical Neurophysiology.

[13]  E Grünewald-Zuberbier,et al.  Relationships between the late component of the contingent negative variation and the bereitschaftspotential. , 1979, Electroencephalography and clinical neurophysiology.

[14]  C S Rebert,et al.  Cortical slow potential changes in man related to interstimulus intevval and to pre-trial prediction of interstimulus interval. , 1969, Psychophysiology.

[15]  Juliana Yordanova,et al.  Simultaneous EEG and fMRI Reveals a Causally Connected Subcortical-Cortical Network during Reward Anticipation , 2013, The Journal of Neuroscience.

[16]  Scott D. Brown,et al.  Neural Correlates of Trial-to-Trial Fluctuations in Response Caution , 2011, The Journal of Neuroscience.

[17]  A. Raftery Approximate Bayes factors and accounting for model uncertainty in generalised linear models , 1996 .

[18]  Steven A. Hillyard,et al.  Relationships between the contingent negative variation (CNV) and reaction time , 1969 .

[19]  Cameron S. Carter,et al.  The Neural and Computational Basis of Controlled Speed-Accuracy Tradeoff during Task Performance , 2008, Journal of Cognitive Neuroscience.

[20]  Wayne A. Wickelgren,et al.  Speed-accuracy tradeoff and information processing dynamics , 1977 .

[21]  N. Loveless,et al.  The contingent negative variation related to preparatory set in a reaction time situation with variable foreperiod. , 1973, Electroencephalography and clinical neurophysiology.

[22]  Birte U. Forstmann,et al.  Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract? , 2011, Trends in Cognitive Sciences.

[23]  K. R. Ridderinkhof,et al.  Striatum and pre-SMA facilitate decision-making under time pressure , 2008, Proceedings of the National Academy of Sciences.

[24]  E. Wagenmakers,et al.  The speed and accuracy of perceptual decisions in a random-tone pitch task , 2013, Attention, Perception, & Psychophysics.

[25]  L. Deecke,et al.  High resolution spatiotemporal analysis of the contingent negative variation in simple or complex motor tasks and a non-motor task , 2000, Clinical Neurophysiology.

[26]  T. Sejnowski,et al.  Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.

[27]  W. Walter,et al.  Contingent Negative Variation : An Electric Sign of Sensori-Motor Association and Expectancy in the Human Brain , 1964, Nature.

[28]  A. Sanford,et al.  Slow potential correlates of preparatory set. , 1974, Biological psychology.

[29]  D. Lindsley,et al.  Attention, Vigilance, and Cortical Evoked-Potentials in Humans , 1964, Science.

[30]  Peter C. M. Molenaar,et al.  On the relation between the mean and the variance of a diffusion model response time distribution , 2005 .

[31]  R. Buckner,et al.  Human Brain Mapping 6:373–377(1998) � Event-Related fMRI and the Hemodynamic Response , 2022 .

[32]  W A MacKay,et al.  CNV, stretch reflex and reaction time correlates of preparation for movement direction and force. , 1990, Electroencephalography and clinical neurophysiology.

[33]  Warren H. Meck,et al.  Contingent negative variation and its relation to time estimation: a theoretical evaluation , 2011, Front. Integr. Neurosci..

[34]  R. Marois,et al.  fMRI Evidence for a Dual Process Account of the Speed-Accuracy Tradeoff in Decision-Making , 2008, PloS one.

[35]  W. Sommer,et al.  Partial advance information and response preparation: inferences from the lateralized readiness potential. , 1996, Journal of experimental psychology. General.

[36]  A W Gaillard,et al.  Slow potential changes and choice reaction time as a function of interstimulus interval. , 1973, Acta psychologica.

[37]  M. Coles Modern mind-brain reading: psychophysiology, physiology, and cognition. , 1989, Psychophysiology.

[38]  Thomas Elbert,et al.  SLOW CORTICAL POTENTIALS REFLECT THE REGULATION OF CORTICAL EXCITABILITY , 1993 .

[39]  M. Masson,et al.  Using confidence intervals in within-subject designs , 1994, Psychonomic bulletin & review.

[40]  Peter Praamstra,et al.  Prior information of stimulus location: Effects on ERP measures of visual selection and response selection , 2006, Brain Research.

[41]  R Näätänen,et al.  Evoked potential, EEG, and slow-potential correlates of selective attention. , 1970, Acta psychologica.

[42]  E. Donchin,et al.  Preparation to respond as manifested by movement-related brain potentials , 1980, Brain Research.

[43]  Robert Oostenveld,et al.  FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..

[44]  Roshan Cools,et al.  Bromocriptine Does Not Alter Speed–Accuracy Tradeoff , 2012, Front. Neurosci..

[45]  S. Wood mgcv:Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation , 2012 .

[46]  W. Kunde,et al.  Precueing spatial S-R correspondence: is there regulation of expected response conflict? , 2008, Journal of experimental psychology. Human perception and performance.

[47]  Hedderik van Rijn,et al.  Decoupling Interval Timing and Climbing Neural Activity: A Dissociation between CNV and N1P2 Amplitudes , 2014, The Journal of Neuroscience.

[48]  S. Hillyard,et al.  Selective attention to color and location: An analysis with event-related brain potentials , 1984, Perception & psychophysics.

[49]  W. Sommer,et al.  Motor programming of response force and movement direction. , 1998, Psychophysiology.

[50]  Andrew Heathcote,et al.  Drawing conclusions from choice response time models : a 1 tutorial 2 , 2010 .

[51]  L. Mulder,et al.  Use of partial stimulus information in response processing. , 1988, Journal of experimental psychology. Human perception and performance.

[52]  J. Theeuwes,et al.  Unconscious attentional orienting to exogenous cues: A review of the literature. , 2010, Acta psychologica.

[53]  Scott D. Brown,et al.  The Optimality of Sensory Processing during the Speed–Accuracy Tradeoff , 2012, The Journal of Neuroscience.

[54]  Jonathan D. Cohen,et al.  The Quarterly Journal of Experimental Psychology Do Humans Produce the Speed–accuracy Trade-off That Maximizes Reward Rate? , 2022 .

[55]  Andrew Heathcote,et al.  Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator , 2011 .

[56]  B. Rockstroh,et al.  Slow potentials of the cerebral cortex and behavior. , 1990, Physiological reviews.

[57]  S. Wood Generalized Additive Models: An Introduction with R , 2006 .

[58]  Scott D. Brown,et al.  The simplest complete model of choice response time: Linear ballistic accumulation , 2008, Cognitive Psychology.

[59]  D. Bates,et al.  Mixed-Effects Models in S and S-PLUS , 2001 .

[60]  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.

[61]  Jeff Miller,et al.  Jackknife-based method for measuring LRP onset latency differences. , 1998, Psychophysiology.

[62]  K. Böcker,et al.  Cortical Measures of Anticipation , 2004 .

[63]  Jeff Miller,et al.  Using the jackknife-based scoring method for measuring LRP onset effects in factorial designs. , 2001, Psychophysiology.