The classic P300 encodes a build‐to‐threshold decision variable
Open accessAbstract
The P300 component of the human event‐related potential has been the subject of intensive experimental investigation across a five‐decade period, owing to its apparent relevance to a wide range of cognitive functions and its sensitivity to numerous brain disorders, yet its exact contribution to cognition remains unresolved. Here, we carry out key analyses of the P300 elicited by transient auditory and visual targets to examine its potential role as a ‘decision variable’ signal that accumulates evidence to a decision bound. Consistent with the latter, we find that the P300 reaches a stereotyped amplitude immediately prior to response execution and that its rate of rise scales with target detection difficulty and accounts for trial‐to‐trial variance in RT . Computational simulations of an accumulation‐to‐bound decision process faithfully captured P300 dynamics when its parameters were set by model fits to the RT distributions. Thus, where the dominant explanatory accounts have conceived of the P300 as a unitary neural event, our data reveal it to be a dynamically evolving neural signature of decision formation. These findings place the P300 at the heart of a mechanistically principled framework for understanding decision‐making in both the typical and atypical human brain.
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The P3 may encode motivationally significant events, which in the present study were the saliently colored/ethnic Black hands during SRC processing.
“This suggests that the P3 may encode motivationally significant events, which, in the present study, were the saliently colored/ethnic Black hands during SRC processing, potentially contributing to a dynamic decision process of linking perception to action31,42–45”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [42]
The role of the P3 component lies in bridging stimulus perception and response execution in a dynamically evolving decision process.
“It has been suggested that the role of the P3 component lies in bridging stimulus perception and response execution31,44 in a dynamically evolving decision process, linking sensory encoding of stimulus perception to the preparation of action42,43,45, and/or response control44.”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [42]
The P3 component acts as an intermediate link on the dynamic formation of decision from stimulus encoding to motor preparation.
“This has been argued to be in line with the P3 component acting as an intermediate link on the dynamic formation of decision from stimulus encoding to motor preparation42.”
From Event-related potentials of automatic imitation are modulated by ethnicity during stimulus processing, but not during motor execution (2018) · cites this paper as [42]
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
Updating P300: An integrative theory of P3a and P3b
Polich, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.019 · Cited by 7,919 · see citing works
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764 · see citing works
Is the P300 component a manifestation of context updating?
Donchin, E., & Coles, M. G. H. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058027 · Cited by 3,585 · see citing works
Evoked-potential correlates of stimulus uncertainty
Sutton, S., Braren, M., Zubin, J., & John, E. R. (1965) · Science · doi:10.1126/science.150.3700.1187 · Cited by 3,061 · see citing works
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
Ratcliff, R., & McKoon, G. (2008) · Neural Computation · doi:10.1162/neco.2008.12-06-420 · Cited by 3,059 · see citing works
On the utility of P3 amplitude as a measure of processing capacity
Kok, A. (2001) · Psychophysiology · doi:10.1017/s0048577201990559 · Cited by 1,766 · see citing works
Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time
Kutas, M., McCarthy, G., & Donchin, E. (1977) · Science · doi:10.1126/science.887923 · Cited by 1,714 · see citing works
Decision making, the P3, and the locus coeruleus–norepinephrine system
Nieuwenhuis, S., Aston-Jones, G., & Cohen, J. D. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.4.510 · Cited by 1,678 · see citing works
On Quantifying Surprise: The Variation of Event‐Related Potentials With Subjective Probability
Duncan‐Johnson, C. C., & Donchin, E. (1977) · Psychophysiology · doi:10.1111/j.1469-8986.1977.tb01312.x · Cited by 1,235 · see citing works
The simplest complete model of choice response time: Linear ballistic accumulation
Brown, S. D., & Heathcote, A. (2008) · Cognitive Psychology · doi:10.1016/j.cogpsych.2007.12.002 · Cited by 1,130 · see citing works
Psychology and neurobiology of simple decisions
Smith, P. L., & Ratcliff, R. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.01.006 · Cited by 1,051 · see citing works
Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex
Kiani, R., & Shadlen, M. N. (2009) · Science · doi:10.1126/science.1169405 · Cited by 1,027 · see citing works
Verleger, R. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058015 · Cited by 855 · see citing works
A supramodal accumulation-to-bound signal that determines perceptual decisions in humans
O'Connell, R. G., Dockree, P. M., & Kelly, S. P. (2012) · Nature Neuroscience · doi:10.1038/nn.3248 · Cited by 755 · see citing works
Self-citationNeuropsychology and neuropharmacology of P3a and P3b
Polich, J. M., & Criado, J. R. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.012 · Cited by 737 · see citing works
The effect of stimulus strength on the speed and accuracy of a perceptual decision
Palmer, J., Huk, A. C., & Shadlen, M. N. (2005) · Journal of Vision · doi:10.1167/5.5.1 · Cited by 691 · see citing works
Changes of mind in decision-making
Resulaj, A., Kiani, R., Wolpert, D. M., & Shadlen, M. N. (2009) · Nature · doi:10.1038/nature08275 · Cited by 678 · see citing works
Large-scale neural correlates of affective picture processing
Keil, A., Bradley, M. M., Hauk, O., Rockstroh, B. S., Elbert, T. R., & Lang, P. J. (2002) · Psychophysiology · doi:10.1111/1469-8986.3950641 · Cited by 678 · see citing works
Metacognition in human decision-making: confidence and error monitoring
Yeung, N., & Summerfield, C. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0416 · Cited by 667 · see citing works
Decision Making as a Window on Cognition
Shadlen, M. N., & Kiani, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.047 · Cited by 660 · see citing works
Jürgen Kayser, A., & Tenke, C. E. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.08.034 · Cited by 638 · see citing works
A role for neural integrators in perceptual decision making
Mazurek, M. E., Roitman, J. D., Ditterich, J., & Shadlen, M. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg097 · Cited by 620 · see citing works
Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans
Murphy, P. R., Robertson, I. H., Balsters, J. H., & O'connell, R. G. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01226.x · Cited by 519 · see citing works
Self-citationA Sequential Theory of Psychological Discrimination
Link, S. W., & Heath, R. A. (1975) · Psychometrika · doi:10.1007/bf02291481 · Cited by 492 · see citing works
Internal and External Influences on the Rate of Sensory Evidence Accumulation in the Human Brain
Kelly, S. P., & O'Connell, R. G. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3355-13.2013 · Cited by 455 · see citing works
Self-citationNieuwenhuis, S., de Geus, E. J. C., & Aston‐Jones, G. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01057.x · Cited by 451 · see citing works
Evoked Potential Correlates of Auditory Signal Detection
Hillyard, S. A., Squires, K. C., Bauer, J. W., & Lindsay, P. H. (1971) · Science · doi:10.1126/science.172.3990.1357 · Cited by 413 · see citing works
The influence of urgency on decision time
Reddi, B. A. J., & Carpenter, R. H. S. (2000) · Nature Neuroscience · doi:10.1038/77739 · Cited by 411 · see citing works
P300 and Recall in an Incidental Memory Paradigm
Fabiani, M., Karis, D., & Donchin, E. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00636.x · Cited by 411 · see citing works
Decision-related pupil dilation reflects upcoming choice and individual bias
de Gee, J. W., Knapen, T. H. J., & Donner, T. H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317557111 · Cited by 381 · see citing works
Young Psychophysiologist Award Address, 1980: P300 Latency: A New Metric of Information Processing
Duncan‐Johnson, C. C. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb03020.x · Cited by 371 · see citing works
P300 assessment of early Alzheimer's disease
Polich, J. M., Ladish, C., & Bloom, F. E. (1990) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(90)90036-d · Cited by 278 · see citing works
Mars, R. B., Debener, S., Gladwin, T. E., Harrison, L. M., Haggard, P., Rothwell, J. C., & Bestmann, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2925-08.2008 · Cited by 262 · see citing works
İnsanlarda Yenilik N2 Yanıtı Hedef Uyaranların Zamansal Sınıflamasını Yansıtır
Maraşligil, B., & Ergenoğlu, T. (2011) · Journal of Experimental and Clinical Medicine · doi:10.5835/jecm.omu.28.02.002 · Cited by 255 · see citing works
Vertex potentials evoked during auditory signal detection: Relation to decision criteria
Squires, K. C., Hillyard, S. A., & Lindsay, P. H. (1973) · Perception & Psychophysics · doi:10.3758/bf03212388 · Cited by 241 · see citing works
The accumulator model of two-choice discrimination
Smith, P. L., & Vickers, D. (1988) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(88)90043-0 · Cited by 223 · see citing works
Diffusion model analysis with MATLAB: A DMAT primer
Vandekerckhove, J., & Tuerlinckx, F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.1.61 · Cited by 207 · see citing works
Effect of stimulus uncertainty on the pupillary dilation response and the vertex evoked potential
Friedman, D., Hakerem, G., Sutton, S., & Fleiss, J. L. (1973) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(73)90065-5 · Cited by 205 · see citing works
Auditory averaged evoked potentials in man during selective binaural listening
Smith, D. B. D., Donchin, E., Cohen, L., & Starr, A. (1970) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(70)90182-3 · Cited by 157 · see citing works
Kelly, S. P., & O’Connell, R. G. (2014) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2014.08.003 · Cited by 128 · see citing works
Self-citationIndependent anatomical and functional measures of the V1/V2 boundary in human visual cortex
Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A. J., & Matthews, P. M. (2005) · Journal of Vision · doi:10.1167/5.2.1 · Cited by 125 · see citing works
Decision making and the P300 component of the cortical evoked response
Rohrbaugh, J., Donchin, E., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03213960 · Cited by 86 · see citing works
Attentional processing in adults with ADHD as reflected by event-related potentials
Prox-Vagedes, V., Dietrich, D. E., Zhang, Y., Emrich, H. M., & Ohlmeier, M. D. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.04.011 · Cited by 71 · see citing works
Effects of systemic clonidine on auditory event-related potentials in squirrel monkeys
Diane Swick, A., Pineda, J. A., & Foote, S. L. (1994) · Brain Research Bulletin · doi:10.1016/0361-9230(94)90051-5 · Cited by 64 · see citing works
P300 subcomponents in obsessive-compulsive disorder
Mavrogiorgou, P., Juckel, G., Frodl, T., Gallinat, J., Hauke, W., Zaudig, M., Dammann, G., Möller, H.-J., & Hegerl, U. (2002) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(02)00055-9 · Cited by 52 · see citing works
A study of P300 in melancholic depression—Correlation with psychotic features
Santosh, P., Malhotra, S., Raghunathan, M., & Mehra, Y. N. (1994) · Biological Psychiatry · doi:10.1016/0006-3223(94)90046-9 · Cited by 52 · see citing works
Alterations in event-related potentials (ERPs) of MPTP-treated monkeys
Glover, A., Ghilardi, M. F., Bodis-Wollner, I. G., & ONOFRJ, M. C. (1988) · Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section · doi:10.1016/0168-5597(88)90050-0 · Cited by 44 · see citing works
The unstable bridge from stimulus processing to correct responding in Parkinson's disease.
Verleger, R., Schroll, H., & Hamker, F. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.09.017 · Cited by 32 · see citing works
Pineda, J. A., Westerfield, M., Kronenberg, B. M., & Kubrin, J. (1997) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(97)00061-5 · Cited by 24 · see citing works
Nolan, H., Butler, J. S., Whelan, R., Foxe, J. J., Bülthoff, H., & Reilly, R. B. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3059-y · Cited by 22 · see citing works
Monkey P3 in an “oddball” paradigm: Pharmacological support for multiple neural sources
Pineda, J. A., & Westerfield, M. (1993) · Brain Research Bulletin · doi:10.1016/0361-9230(93)90142-x · Cited by 21 · see citing works
An Action-Independent Signature of Perceptual Choice in the Human Brain
Urai, A. E., & Pfeffer, T. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0477-14.2014 · Cited by 17 · see citing works
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Hanks, T. D., & Summerfield, C. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.003 · Cited by 388 · see citing works
Verleger, R. (2020) · Psychophysiology · doi:10.1111/psyp.13542 · Cited by 207 · see citing works
Pisauro, M. A., Fouragnan, E. F., Retzler, C., & Philiastides, M. G. (2017) · Nature Communications · doi:10.1038/ncomms15808 · Cited by 217 · see citing works
Neural evidence accumulation persists after choice to inform metacognitive judgments
Murphy, P. R., Robertson, I. H., Harty, S., & O'Connell, R. G. (2015) · eLife · doi:10.7554/elife.11946 · Cited by 170 · see citing works
Self-citationThe P3b and P600(s): Positive contributions to language comprehension
Leckey, M., & Federmeier, K. D. (2020) · Psychophysiology · doi:10.1111/psyp.13351 · Cited by 160 · see citing works
Tagliabue, C. F., Veniero, D., Benwell, C., Cecere, R., Savazzi, S., & Thut, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-41024-4 · Cited by 149 · see citing works
Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.03.003 · Cited by 145 · see citing works
Frömer, R., Maier, M. E., & Rahman, R. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00048 · Cited by 118 · see citing works
Neurocomputational mechanisms of prior-informed perceptual decision-making in humans
Kelly, S. P., Corbett, E. A., & O’Connell, R. G. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00967-9 · Cited by 145 · see citing works
Self-citationNeurophysiology of Human Perceptual Decision-Making
O’Connell, R. G., & Kelly, S. P. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092019-100200 · Cited by 119 · see citing works
Self-citationLoughnane, G. M., Newman, D. P., Bellgrove, M. A., Lalor, E. C., Kelly, S. P., & O’Connell, R. G. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.049 · Cited by 113 · see citing works
Self-citationMückschel, M., Chmielewski, W. X., Ziemssen, T., & Beste, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.036 · Cited by 108 · see citing works
Human VMPFC encodes early signatures of confidence in perceptual decisions
Gherman, S., & Philiastides, M. G. (2018) · eLife · doi:10.7554/elife.38293 · Cited by 107 · see citing works
Twomey, D. M., Kelly, S. P., & O’Connell, R. G. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4162-15.2016 · Cited by 107 · see citing works
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A postdecisional neural marker of confidence predicts information-seeking in decision-making
Desender, K., Murphy, P., Boldt, A., Verguts, T., & Yeung, N. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.2620-18.2019 · Cited by 88 · see citing works
Self-citationTakács, Á., Zink, N., Wolff, N., Münchau, A. M., Mückschel, M., & Beste, C. (2020) · Human Brain Mapping · doi:10.1002/hbm.24983 · Cited by 95 · see citing works
New insights into old waves. Matching stimulus- and response-locked ERPs on the same time-window
Berchicci, M., Spinelli, D., & Di Russo, F. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.04.007 · Cited by 93 · see citing works
van Kempen, J., Loughnane, G. M., Newman, D. P., Kelly, S. P., Thiele, A., O’Connell, R. G., & Bellgrove, M. A. (2019) · eLife · doi:10.7554/elife.42541 · Cited by 88 · see citing works
Self-citationUnderstanding neural signals of post-decisional performance monitoring: An integrative review
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Self-citationVivid: How valence and arousal influence word processing under different task demands
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Neural structure mapping in human probabilistic reward learning
Luyckx, F., Nili, H., Spitzer, B., & Summerfield, C. (2019) · eLife · doi:10.7554/elife.42816 · Cited by 84 · see citing works
Selective overweighting of larger magnitudes during noisy numerical comparison
Spitzer, B., Waschke, L., & Summerfield, C. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0145 · Cited by 83 · see citing works
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Langer, N., Ho, E. J., Alexander, L. M., Xu, H., Jozanovic, R. K., Henin, S. E., Petroni, A., Cohen, S. S., Marcelle, E. T., Parra, L. C., et al. (2017) · Scientific Data · doi:10.1038/sdata.2017.40 · Cited by 87 · see citing works
Self-citationHerding, J., Ludwig, S., von Lautz, A., Spitzer, B., & Blankenburg, F. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116011 · Cited by 79 · see citing works
Fields, E. C. (2023) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2023.08.005 · Cited by 79 · see citing works
The discovery of processing stages: Extension of Sternberg’s method.
Anderson, J. R., Zhang, Q., Borst, J. P., & Walsh, M. M. (2016) · Psychological Review · doi:10.1037/rev0000030 · Cited by 74 · see citing works
Subjective visual awareness emerges prior to P3
Koivisto, M., Salminen‐Vaparanta, N., Grassini, S., & Revonsuo, A. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13264 · Cited by 72 · see citing works
A systems neurophysiology approach to voluntary event coding
Petruo, V. A., Stock, A., Münchau, A. M., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.007 · Cited by 74 · see citing works
Schindler, S., & Straube, T. (2020) · Psychophysiology · doi:10.1111/psyp.13585 · Cited by 67 · see citing works
Brockhoff, L., Schindler, S., Bruchmann, M., & Straube, T. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104580 · Cited by 65 · see citing works
Lin, H., Saunders, B., Hutcherson, C. A. C., & Inzlicht, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.055 · Cited by 71 · see citing works
Developments in scalable strategies for detecting early markers of cognitive decline
Whelan, R., Barbey, F. M., Cominetti, M. R., Gillan, C. M., & Rosická, A. M. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02237-w · Cited by 63 · see citing works
Dynamic Effects of Self-Relevance and Task on the Neural Processing of Emotional Words in Context
Fields, E. C., & Kuperberg, G. R. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.02003 · Cited by 63 · see citing works
Fonken, Y. M., Kam, J. W. Y., & Knight, R. T. (2019) · Psychophysiology · doi:10.1111/psyp.13400 · Cited by 67 · see citing works
On second thoughts: changes of mind in decision-making
Stone, C., Mattingley, J. B., & Rangelov, D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.02.004 · Cited by 57 · see citing works
Porcaro, C., Balsters, J. H., Mantini, D., Robertson, I. H., & Wenderoth, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.057 · Cited by 59 · see citing works
Verleger, R., Grauhan, N., & Śmigasiewicz, K. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.049 · Cited by 58 · see citing works
van Vugt, M. K., Beulen, M. A., & Taatgen, N. (2019) · Brain Research · doi:10.1016/j.brainres.2019.03.008 · Cited by 58 · see citing works
Dully, J., McGovern, D. P., & O’Connell, R. G. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.001 · Cited by 55 · see citing works
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Self-citationSeow, T. X. F., Benoit, E., Dempsey, C., Jennings, M., Maxwell, A., O'Connell, R., & Gillan, C. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0031-21.2021 · Cited by 35 · see citing works
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The norepinephrine system and its relevance for multi-component behavior
Mückschel, M., Gohil, K., Ziemssen, T., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.007 · Cited by 50 · see citing works
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Cheung, C. H. M., McLoughlin, G., Brandeis, D., Banaschewski, T., Asherson, P. J., & Kuntsi, J. (2017) · Brain Topography · doi:10.1007/s10548-017-0554-2 · Cited by 43 · see citing works
Devine, C. A., Gaffney, C., Loughnane, G. M., Kelly, S. P., & O’Connell, R. G. (2019) · eLife · doi:10.7554/elife.48526 · Cited by 45 · see citing works
Self-citationLow-frequency neural activity reflects rule-based chunking during speech listening
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Rausch, M., Zehetleitner, M., Steinhauser, M., & Maier, M. E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116963 · Cited by 44 · see citing works
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Pereira, M., Perrin, D., & Faivre, N. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.03.003 · Cited by 52 · see citing works
Bluschke, A., Chmielewski, W. X., Mückschel, M., Roessner, V., & Beste, C. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00329 · Cited by 41 · see citing works
Peripheral visual perception during natural overground dual-task walking in older and younger adults
Protzak, J., Wiczorek, R., & Gramann, K. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.009 · Cited by 42 · see citing works
Brosnan, M. B., Sabaroedin, K., Silk, T. J., Genc, S., Newman, D. P., Loughnane, G. M., Fornito, A., O’Connell, R. G., & Bellgrove, M. A. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0863-4 · Cited by 40 · see citing works
Self-citationNeural dynamics of stimulus-response representations during inhibitory control
Prochnow, A., Bluschke, A., Weißbach, A., Münchau, A. M., Roessner, V., Mückschel, M., & Beste, C. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00163.2021 · Cited by 41 · see citing works
Temporal Expectation Hastens Decision Onset But Does Not Affect Evidence Quality
van den Brink, R. L., Murphy, P. R., Desender, K., de Ru, N., & Nieuwenhuis, S. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1103-20.2020 · Cited by 41 · see citing works
Self-citationEvidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans
Yau, Y. H. C., Hinault, T., Taylor, M., Cisek, P., Fellows, L. K., & Dagher, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2551-20.2021 · Cited by 37 · see citing works
Alday, P. M., & Kretzschmar, F. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00285 · Cited by 40 · see citing works
Newman, D. P., Loughnane, G. M., Kelly, S. P., O’Connell, R. G., & Bellgrove, M. A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3512-16.2017 · Cited by 37 · see citing works
Self-citationImpaired conscious access and abnormal attentional amplification in schizophrenia
Berkovitch, L., Cul, A. D., Maheu, M., & Dehaene, S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.03.010 · Cited by 38 · see citing works
Dou, W., Arango, L. J. M., Castaneda, O. G., Arellano, L., Mcintyre, E., Yballa, C., & Samaha, J. (2024) · Psychological Science · doi:10.1177/09567976241246561 · Cited by 42 · see citing works
Slagter, H. A., Mazaheri, A., Reteig, L. C., Smolders, R., Figee, M., Mantione, M. H. M., Schuurman, P. R., & Denys, D. A. J. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2282-16.2016 · Cited by 38 · see citing works
McWilliams, E. C., Barbey, F. M., Dyer, J., Islam, M. N., McGuinness, B., Murphy, B., Nolan, H., Passmore, P., Rueda‐Delgado, L. M., & Buick, A. R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.574482 · Cited by 38 · see citing works
Time-dependent effects of perceptual load on processing fearful and neutral faces
Schindler, S., Caldarone, F., Bruchmann, M., Moeck, R., & Straube, T. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107529 · Cited by 37 · see citing works
Analysis and asynchronous detection of gradually unfolding errors during monitoring tasks
Omedes, J., Iturrate, I., Mínguez, J., & Montesano, L. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/5/056001 · Cited by 38 · see citing works
Detecting changes in dynamic and complex acoustic environments
Boubenec, Y., Lawlor, J., Górska, U., Shamma, S., & Englitz, B. (2017) · eLife · doi:10.7554/elife.24910 · Cited by 35 · see citing works
EEG correlates of cognitive time scales in the Necker-Zeno model for bistable perception
Kornmeier, J., Friedel, E. B. N., Wittmann, M., & Harald Atmanspacher, A. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.04.011 · Cited by 36 · see citing works
Omedes, J., Schwarz, A., Muller-Putz, G. R., & Montesano, L. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aac1a1 · Cited by 35 · see citing works
LoTemplio, S. B., Silcox, J. W., Federmeier, K. D., & Payne, B. R. (2020) · Psychophysiology · doi:10.1111/psyp.13758 · Cited by 36 · see citing works
Electrophysiological correlates of self-prioritization
Sui, J., He, X., Golubickis, M., Svensson, S. L., & Macrae, C. N. (2023) · Consciousness and Cognition · doi:10.1016/j.concog.2023.103475 · Cited by 36 · see citing works
Neural correlates of cognitive processing capacity in elite soccer players
Wang, C., Lin, C.-C., Moreau, D., Yang, C.-T., & Liang, W. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107971 · Cited by 35 · see citing works
Electrophysiology as a theoretical and methodological hub for the neural sciences
Cavanagh, J. F. (2018) · Psychophysiology · doi:10.1111/psyp.13314 · Cited by 33 · see citing works
Decreasing Alertness Modulates Perceptual Decision-Making
Jagannathan, S. R., Bareham, C. A., & Bekinschtein, T. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0182-21.2021 · Cited by 34 · see citing works
Lukács, G., Weiss, B., Dalos, V. D., Kilencz, T., Tudja, S., & Csifcsák, G. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.10.010 · Cited by 33 · see citing works
Gherman, S., Markowitz, N., Tostaeva, G., Espinal, E., Mehta, A. D., O’Connell, R. G., Kelly, S. P., & Bickel, S. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01824-9 · Cited by 31 · see citing works
Self-citationThe neurophysiological basis of reward effects on backward inhibition processes
Zhang, R., Stock, A., & Beste, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.080 · Cited by 31 · see citing works
Confidence Representation of Perceptual Decision by EEG and Eye Data in a Random Dot Motion Task
Shooshtari, S. V., Esmaily, J., Azizi, Z. R., & Ebrahimpour, R. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.03.031 · Cited by 30 · see citing works
Reduction of Pavlovian Bias in Schizophrenia: Enhanced Effects in Clozapine-Administered Patients
Albrecht, M. A., Waltz, J. A., Cavanagh, J. F., Frank, M. J., & Gold, J. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152781 · Cited by 31 · see citing works
Common neural choice signals can emerge artefactually amid multiple distinct value signals
Frömer, R., Nassar, M. R., Ehinger, B., & Shenhav, A. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01971-z · Cited by 36 · see citing works
Ghin, F., Stock, A., & Beste, C. (2022) · Cortex · doi:10.1016/j.cortex.2022.07.004 · Cited by 31 · see citing works
den Ouden, C., Zhou, A., Mepani, V., Kovács, G., Vogels, R., & Feuerriegel, D. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120347 · Cited by 30 · see citing works
Walsh, M. M., Glenn Gunzelmann, A., & Anderson, J. R. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.11.011 · Cited by 29 · see citing works
Strategic down‐regulation of attentional resources as a mechanism of proactive response inhibition
Langford, Z. D., Krebs, R. M., Talsma, D., Woldorff, M. G., & Boehler, C. N. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13303 · Cited by 27 · see citing works
Reduced influence of perceptual context in schizophrenia: behavioral and neurophysiological evidence
Pokorny, V., Lano, T. J., Schallmo, M., Olman, C. A., & Sponheim, S. R. (2019) · Psychological Medicine · doi:10.1017/s0033291719003751 · Cited by 29 · see citing works
Markkula, G. M., Uludağ, Z., Wilkie, R. M., & Billington, J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009096 · Cited by 27 · see citing works
Neural correlates of consciousness in an attentional blink paradigm with uncertain target relevance
Dellert, T., Krebs, S., Bruchmann, M., Schindler, S., Peters, A., & Straube, T. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119679 · Cited by 31 · see citing works
Questioning the role of the frontopolar cortex in multi-component behavior – a TMS/EEG study
Gohil, K., Dippel, G., & Beste, C. (2016) · Scientific Reports · doi:10.1038/srep22317 · Cited by 28 · see citing works
Predictions through evidence accumulation over time
Darriba, Á., & Waszak, F. (2018) · Scientific Reports · doi:10.1038/s41598-017-18802-z · Cited by 28 · see citing works
Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs
Kóbor, A., Horváth, K., Kardos, Z., Takács, Á., Janacsek, K., Csépe, V., & Németh, D. (2019) · Memory & Cognition · doi:10.3758/s13421-019-00949-x · Cited by 24 · see citing works
Timing of readiness potentials reflect a decision-making process in the human brain
Lui, K., Nunez, M. D., Cassidy, J. M., Vandekerckhove, J., Cramer, S., & Srinivasan, R. (2018) · Computational Brain & Behavior · doi:10.1007/s42113-020-00097-5 · Cited by 26 · see citing works
Verleger, R., Grauhan, N., & Śmigasiewicz, K. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2016.11.009 · Cited by 28 · see citing works
Asanowicz, D., Gociewicz, K., Koculak, M., Finc, K., Bonna, K., Axel Cleeremans, B., & Binder, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-60268-z · Cited by 26 · see citing works
Striatal BOLD and midfrontal theta power express motivation for action
Algermissen, J., Swart, J. C., Scheeringa, R., Cools, R., & den Ouden, H. E. M. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab391 · Cited by 27 · see citing works
Implicit anticipation of probabilistic regularities: Larger CNV emerges for unpredictable events
Kóbor, A., Kardos, Z., Horváth, K., Janacsek, K., Takács, Á., Csépe, V., & Németh, D. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.107826 · Cited by 26 · see citing works
Kruijne, W., Olivers, C. N. L., & van Rijn, H. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01705 · Cited by 26 · see citing works
Bigliassi, M., Karageorghis, C. I., Nowicky, A. V., Wright, M. J., & Orgs, G. (2017) · Psychological Research · doi:10.1007/s00426-017-0859-5 · Cited by 26 · see citing works
LoTemplio, S. B., Lopes, C. L., McDonnell, A. S., Scott, E. E., Payne, B. R., & Strayer, D. L. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1150244 · Cited by 25 · see citing works
Stock, A., Steenbergen, L., Colzato, L. S., & Beste, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23325 · Cited by 24 · see citing works
Parsing the neural signatures of reduced error detection in older age
Harty, S., Murphy, P. R., Robertson, I. H., & O’Connell, R. G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.032 · Cited by 25 · see citing works
Self-citation
- Authors
- Twomey, D. M., Murphy, P. R., Kelly, S. P., & O'Connell, R. G.
- Affiliations
- Trinity College Dublin (IE)
- Leiden University (NL)
- City College of New York (US)
- Trinity College Institute of Neuroscience, Lloyd Building Trinity College Dublin Dublin 2 Ireland
- ORCID
- Kelly, Simon P.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 2015-05-28
- Volume
- 42
- Issue
- 1
- Pages
- 1636-1643
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W1978718038
- Cited by
- 376
- References
- 53
- Citations by year
- 2026: 38 · 2025: 22 · 2024: 35 · 2023: 40 · 2022: 34 · 2021: 34 · 2020: 40 · 2019: 36 · 2018: 33 · 2017: 27 · 2016: 33 · 2015: 4
- FWCI
- 19.22
- Type
- journal article
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- Locations
- European Journal of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Science Foundation (BCS- 1358955)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- P300, event-related potentials, decision variables, evidence accumulation, decision-making, response execution, reaction time variability, computational modeling
- MeSH terms
- Adult, Auditory Perception, Brain, Computer Simulation, Decision Making, Evoked Potentials, Auditory, Evoked Potentials, Visual, Female, Humans, Male, Models, Neurological, Reaction Time, Visual Perception, Event-Related Potentials, P300, Young Adult
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