Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders
Open accessAbstract
Sensory prediction and repetition suppression are closely related cognitive mechanisms that allow the brain to form predictions about the environment, and guide perception in synergy with attention. Predictive coding is a theory of the fundamental role of predictive mechanisms in brain functions. Authors have proposed a central role of predictive impairments in autism and possibly other neurodevelopmental disorders. However, little is known about predictive mechanisms in typical development, and how they co-develop with attention. Here we review experimental support for predictive coding and its links with attention in healthy adults' brains, the first experimental works performed in typically developing children and infants, and theoretical accounts of neurodevelopmental disorders using a predictive coding framework. We propose future directions for predictive coding research in development. Finally, we describe the first predictive coding experiments in neonates and provide research perspectives for using this framework in searching for early markers of atypical neurodevelopment.
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No theoretical model of ADHD focuses on predictive coding explicitly.
“While, in contrast to ASD research, no theoretical model of ADHD focuses on predictive coding explicitly (Marais & Roche-Labarbe, 2025)”
From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Marais & Roche-Labarbe, 2025
In the “Predictive coding and ADHD” section, the paper says that no strong theoretical proposition has been made about prediction in other neurodevelopmental disorders, supporting the contrast with ASD. But it also discusses proposed predictive-coding explanations for ADHD symptoms, so it does not establish the categorical claim that no ADHD model focuses on predictive coding explicitly. (LLM, conf=0.83)
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Cites
Diamond, A. (2013) · Annual Review of Psychology · doi:10.1146/annurev-psych-113011-143750 · Cited by 13,268 · see citing works
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578 · see citing works
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
The mismatch negativity (MMN) in basic research of central auditory processing: A review
Näätänen, R., Paavilainen, P., Rinne, T., & Alho, K. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.026 · Cited by 2,644 · see citing works
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256 · see citing works
Rankin, C. H., Abrams, T., Barry, R. J., Bhatnagar, S., Clayton, D. F., Colombo, J., Coppola, G., Geyer, M. A., Glanzman, D. L., Marsland, S., et al. (2009) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2008.09.012 · Cited by 1,665 · see citing works
The mismatch negativity: a review of underlying mechanisms
Garrido, M. I., Kilner, J. M., Stephan, K. E., & Friston, K. J. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.11.029 · Cited by 1,441 · cited 18× · see citing works
“The subtraction of the average ERP to deviants from the average ERP to standards thus results in a negative peak on the mismatch trace called the mismatch negativity (MMN) (Garrido et al., 2009; Kujala et al., 2007; N ¨ a ¨ at ¨ anen et al., 2007; Stefanics et al., 2020).”
InfluentialDevelopment of attentional networks in childhood
Rueda, M. R., Fan, J., McCandliss, B. D., Halparin, J. D., Gruber, D. B., Lercari, L. P., & Posner, M. I. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2003.12.012 · Cited by 1,339 · see citing works
When the world becomes ‘too real’: a Bayesian explanation of autistic perception
Pellicano, E., & Burr, D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.08.009 · Cited by 1,156 · see citing works
Visual Experience in Infants: Decreased Attention to Familiar Patterns Relative to Novel Ones
Fantz, R. L. (1964) · Science · doi:10.1126/science.146.3644.668 · Cited by 901 · see citing works
Precise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885 · see citing works
Kidd, C., Piantadosi, S. T., & Aslin, R. Ν. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036399 · Cited by 788 · see citing works
Neural signature of the conscious processing of auditory regularities
Bekinschtein, T. A., Dehaene, S., Rohaut, B., Tadel, F., Cohen, L., & Naccache, L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809667106 · Cited by 738 · see citing works
Interactive Specialization: A domain-general framework for human functional brain development?
Johnson, M. H. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2010.07.003 · Cited by 722 · see citing works
Neural repetition suppression reflects fulfilled perceptual expectations
Summerfield, C., Trittschuh, E. H., Monti, J. M., Mesulam, M.-M., & Egner, T. (2008) · Nature Neuroscience · doi:10.1038/nn.2163 · Cited by 692 · see citing works
The cerebellum: adaptive prediction for movement and cognition
Sokolov, A. A., Miall, R. C., & Ivry, R. B. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.02.005 · Cited by 691 · see citing works
The Development of Visual Attention in Infancy
Colombo, J. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.337 · Cited by 673 · see citing works
Prediction, cognition and the brain
Bubić, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00025 · Cited by 658 · see citing works
An aberrant precision account of autism
Lawson, R. P., Rees, G., & Friston, K. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00302 · Cited by 641 · see citing works
Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.104 · Cited by 621 · see citing works
Preterm Birth and Childhood Psychiatric Disorders
Johnson, S. J., & Marlow, N. (2011) · Pediatric Research · doi:10.1203/pdr.0b013e318212faa0 · Cited by 606 · see citing works
Newborn infants detect the beat in music
Winkler, I., Háden, G. P., Ladinig, O., Sziller, I., & Honing, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809035106 · Cited by 604 · see citing works
Autism as a disorder of prediction
Sinha, P., Kjelgaard, M. M., Gandhi, T. K., Tsourides, K., Cardinaux, A. L., Pantazis, D., Diamond, S. P., & Held, R. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1416797111 · Cited by 563 · cited 4× · see citing works
“Sinha et al. (2014) proposed that ASD symptoms may result from a failure to learn transitional probabilities in the environment and generalize them to new situations, making future predictions impossible.”
InfluentialEvidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560 · see citing works
Romijn, H. J., Hofman, M. A., & Gramsbergen, A. (1991) · Early Human Development · doi:10.1016/0378-3782(91)90044-4 · Cited by 553 · see citing works
Allotey, J., Zamora, J., Cheong‐See, F., Kalidindi, M., Arroyo‐Manzano, D., Asztalos, E., van der Post, J., Mol, B., Moore, D., Birtles, D., et al. (2018) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.14832 · Cited by 551 · see citing works
Developing Mechanisms of Self-Regulation in Early Life
Rothbart, M. K., Sheese, B. E., Rueda, M. R., & Posner, M. I. (2011) · Emotion Review · doi:10.1177/1754073910387943 · Cited by 538 · see citing works
Kujala, T., Tervaniemi, M. H., & Schröger, E. (2006) · Biological Psychology · doi:10.1016/j.biopsycho.2006.06.001 · Cited by 501 · see citing works
Adults with autism overestimate the volatility of the sensory environment
Lawson, R. P., Mathys, C., & Rees, G. (2017) · Nature Neuroscience · doi:10.1038/nn.4615 · Cited by 470 · cited 1× · see citing works
“Lawson et al. (2017) provided experimental support to this idea.”
Does predictive coding have a future?
Friston, K. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0200-7 · Cited by 451 · see citing works
Nativism versus neuroconstructivism: Rethinking the study of developmental disorders.
Karmiloff‐Smith, A. (2009) · Developmental Psychology · doi:10.1037/a0014506 · Cited by 438 · see citing works
Attention reverses the effect of prediction in silencing sensory signals
Kok, P., Rahnev, D., Jehee, J. F. M., Lau, H. C., & de Lange, F. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr310 · Cited by 430 · see citing works
Prior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study
Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1425-11.2011 · Cited by 391 · cited 2× · see citing works
“Todorovic et al. (2011) presented trials of two tones where the second tone was either an identical repetition of the first one or omitted.”
Language Functions in Preterm-Born Children: A Systematic Review and Meta-analysis
der Spek, I. L. V. N., Franken, M.-C. J. P., & Weisglas‐Kuperus, N. (2012) · PEDIATRICS · doi:10.1542/peds.2011-1728 · Cited by 359 · see citing works
Francés, L., Quintero, J., Fernández, A., Ruiz, A., Caules, J., Fillon, G., Amaia Hervas, G., & Soler, C. V. (2022) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-022-00462-1 · Cited by 350 · see citing works
The role of the salience network in cognitive and affective deficits
Schimmelpfennig, J., Topczewski, J., Zajkowski, W. K., & Jankowiak-Siuda, K. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1133367 · Cited by 347 · see citing works
Neurons along the auditory pathway exhibit a hierarchical organization of prediction error
Parras, G. G., Nieto-Diego, J., Carbajal, G. V., Valdés-Baizabal, C., Escera, C., & Malmierca, M. S. (2017) · Nature Communications · doi:10.1038/s41467-017-02038-6 · Cited by 344 · see citing works
Speed and cerebral correlates of syllable discrimination in infants
Dehaene‐Lambertz, G., & Dehaene, S. (1994) · Nature · doi:10.1038/370292a0 · Cited by 341 · see citing works
Relation between early motor delay and later communication delay in infants at risk for autism
Bhat, A. N., Galloway, J. C., & Landa, R. J. (2012) · Infant Behavior and Development · doi:10.1016/j.infbeh.2012.07.019 · Cited by 329 · see citing works
Evidence of a predictive coding hierarchy in the human brain listening to speech
Caucheteux, C., Gramfort, A., & King, J.-R. (2023) · Nature Human Behaviour · doi:10.1038/s41562-022-01516-2 · Cited by 308 · see citing works
Executive function in the first three years of life: Precursors, predictors and patterns
Hendry, A. J., Jones, E. J. H., & Charman, T. (2016) · Developmental Review · doi:10.1016/j.dr.2016.06.005 · Cited by 303 · see citing works
ADHD and autism: differential diagnosis or overlapping traits? A selective review
Taurines, R., Schwenck, C., Westerwald, E., Sachse, M., Siniatchkin, M., & Freitag, C. (2012) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-012-0086-2 · Cited by 301 · see citing works
Expectation and Attention in Hierarchical Auditory Prediction
Chennu, S., Noreika, V., Gueorguiev, D., Blenkmann, A., Kochen, S., Ibanez, A., Owen, A. M., & Bekinschtein, T. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0114-13.2013 · Cited by 299 · see citing works
Somatosensory processing in neurodevelopmental disorders
Cascio, C. J. (2010) · Journal of Neurodevelopmental Disorders · doi:10.1007/s11689-010-9046-3 · Cited by 285 · see citing works
Visual statistical learning in the newborn infant
Bulf, H., Johnson, S. P., & Valenza, E. (2011) · Cognition · doi:10.1016/j.cognition.2011.06.010 · Cited by 281 · see citing works
Visual orienting in the early broader autism phenotype: disengagement and facilitation
Elsabbagh, M., Volein, A., Holmboe, K., Tucker, L., Csibra, G., Baron‐Cohen, S., Bolton, P., Charman, T., Baird, G., & Johnson, M. H. (2009) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.02051.x · Cited by 279 · see citing works
fMRI Repetition Suppression: Neuronal Adaptation or Stimulus Expectation?
Larsson, J., & Smith, A. T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr119 · Cited by 264 · see citing works
Neural substrates of early executive function development
Fiske, A., & Holmboe, K. (2019) · Developmental Review · doi:10.1016/j.dr.2019.100866 · Cited by 264 · see citing works
Speech Perception and Language Acquisition in the First Year of Life
Gervain, J., & Mehler, J. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100408 · Cited by 263 · see citing works
Attention and prediction in human audition: a lesson from cognitive psychophysiology
Schröger, E., Marzecová, A., & SanMiguel, I. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12816 · Cited by 257 · see citing works
DSM-5 - Manuel diagnostique et statistique des troubles mentaux
Manus, J.-M. (2019) · Revue Francophone des Laboratoires · doi:10.1016/s1773-035x(19)30277-1 · Cited by 253 · see citing works
Autism and ADHD: how far have we come in the comorbidity debate
Gargaro, B. A., Rinehart, N. J., Bradshaw, J. L., Tonge, B. J., & Sheppard, D. M. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.11.002 · Cited by 244 · see citing works
Motor control and children with autism: deficit of anticipatory function?
Schmitz, C., Martineau, J., Barthélémy, C., & Assaiante, C. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(03)00644-x · Cited by 212 · see citing works
Newborn infants can organize the auditory world
Winkler, I., Kushnerenko, E. V., Horváth, J., Čėponiené, R., Fellman, V., Huotilainen, M., Näätänen, R., & Sussman, E. S. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2031891100 · Cited by 208 · see citing works
Weikum, W., Oberlander, T. F., Hensch, T. K., & Werker, J. F. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121263109 · Cited by 201 · see citing works
Network Plasticity in Adaptive Filtering and Behavioral Habituation
Ramaswami, M. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.035 · Cited by 194 · see citing works
The suppression of repetition enhancement: A review of fMRI studies
Segaert, K., Weber, K., de Lange, F. P., Petersson, K. M., & Peter Hagoort, A. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.006 · Cited by 191 · see citing works
Emberson, L. L., Richards, J. E., & Aslin, R. Ν. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510343112 · Cited by 190 · see citing works
Simultaneous ERP and fMRI of the auditory cortex in a passive oddball paradigm
Liebenthal, E., Ellingson, M., Spanaki, M. V., Prieto, T. E., ROPELLA, K. M., & Binder, J. R. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00228-3 · Cited by 178 · see citing works
Human Scalp Electroencephalography Reveals that Repetition Suppression Varies with Expectation
Summerfield, C., Wyart, V., Johnen, V. M., & de Gardelle, V. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00067 · Cited by 145 · see citing works
Predicting later IQ from infant visual habituation and dishabituation: A meta-analysis
Kavšek, M. (2004) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2004.04.006 · Cited by 129 · see citing works
Assessment of Attention in Preschoolers
Mahone, E. M., & Schneider, H. E. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9217-y · Cited by 126 · see citing works
Welniarz, Q., Worbe, Y., & Gallea, C. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.644059 · Cited by 125 · see citing works
Respiration, Heartbeat, and Conscious Tactile Perception
Grund, M., Al, E., Pabst, M., Dabbagh, A., Stephani, T., Nierhaus, T., Gaebler, M., & Villringer, A. (2022) · The Journal of Neuroscience · doi:10.1523/jneurosci.0592-21.2021 · Cited by 121 · see citing works
A hierarchy of cortical responses to sequence violations in three-month-old infants
Basirat, A., Dehaene, S., & Dehaene‐Lambertz, G. (2014) · Cognition · doi:10.1016/j.cognition.2014.03.013 · Cited by 119 · see citing works
Neural dynamics of prediction and surprise in infants
Kouider, S., Long, B., Stanc, L. L., Charron, S., Fiévet, A., Barbosa, L. S., & Gelskov, S. V. (2015) · Nature Communications · doi:10.1038/ncomms9537 · Cited by 116 · see citing works
Leonard, H. C., Bedford, R., Pickles, A. R., & Hill, E. L. (2015) · Research in Autism · doi:10.1016/j.rasd.2014.12.012 · Cited by 114 · see citing works
Making Sense of the World: Infant Learning From a Predictive Processing Perspective
Köster, M., Kayhan, E., Langeloh, M., & Hoehl, S. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691619895071 · Cited by 112 · see citing works
Motor Deficits in Children With Autism Spectrum Disorder: A Cross‐Syndrome Study
McPhillips, M., Finlay, J. C. S., Bejerot, S., & Hanley, M. (2014) · Autism Research · doi:10.1002/aur.1408 · Cited by 111 · see citing works
Can predictive coding explain repetition suppression?
Grotheer, M., & Kovács, G. (2016) · Cortex · doi:10.1016/j.cortex.2015.11.027 · Cited by 108 · see citing works
Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder
Gonzalez-Gadea, M. L., Chennu, S., Bekinschtein, T. A., Rattazzi, A., Beraudi, A., Tripicchio, P., Moyano, B., Soffita, Y., Steinberg, L., Adolfi, F., et al. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00543.2015 · Cited by 100 · see citing works
P300 development from infancy to adolescence
Riggins, T., & Scott, L. S. (2019) · Psychophysiology · doi:10.1111/psyp.13346 · Cited by 99 · see citing works
Sustained attention in infancy as a longitudinal predictor of self-regulatory functions
Johansson, M., Marciszko, C., Gredebäck, G., Nyström, P., & Bohlin, G. (2015) · Infant Behavior and Development · doi:10.1016/j.infbeh.2015.07.001 · Cited by 88 · see citing works
Sensory processing in preterm preschoolers and its association with executive function
Adams, J. N., Feldman, H. M., Huffman, L. C., & Loe, I. M. (2015) · Early Human Development · doi:10.1016/j.earlhumdev.2015.01.013 · Cited by 85 · see citing works
Longitudinal development of attention and inhibitory control during the first year of life
Holmboe, K., Bonneville‐Roussy, A., Csibra, G., & Johnson, M. H. (2018) · Developmental Science · doi:10.1111/desc.12690 · Cited by 85 · see citing works
The Neural Basis of Perceptual Category Learning in Human Infants
Großmann, T., Gliga, T., Johnson, M. H., & Denis Mareschal, B. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21188 · Cited by 83 · see citing works
An fMRI Auditory Oddball Study of Combined-Subtype Attention Deficit Hyperactivity Disorder
Stevens, M. C., Pearlson, G. D., & Kiehl, K. A. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.06050876 · Cited by 81 · see citing works
Autism is a prenatal disorder: Evidence from late gestation brain overgrowth
Bonnet‐Brilhault, F., Rajerison, T. A., Paillet, C., Guimard‐Brunault, M., Saby, A., Ponson, L., Tripi, G., Malvy, J., & Roux, S. (2018) · Autism Research · doi:10.1002/aur.2036 · Cited by 81 · see citing works
Sensory Prediction Errors Are Less Modulated by Global Context in Autism Spectrum Disorder
Goris, J., Braem, S., Nijhof, A. D., Rigoni, D., Deschrijver, E., Van de Cruys, S., Wiersema, J. R., & Brass, M. (2018) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.02.003 · Cited by 79 · see citing works
Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage
Bullock, M., Jackson, G. D., & Abbott, D. F. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.622719 · Cited by 77 · see citing works
Cascio, C. J., Gu, C., Schauder, K. B., Key, A. P. F., & Yoder, P. J. (2015) · Brain Topography · doi:10.1007/s10548-015-0439-1 · Cited by 74 · see citing works
Wu, W. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.11.007 · Cited by 74 · see citing works
Piccardi, E. S., Ali, J. B., Jones, E. J. H., Mason, L., Charman, T., Johnson, M. H., Gliga, T., BASIS/STAARS Team, Agyapong, M., Bazelmans, T., et al. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09334-1 · Cited by 73 · see citing works
Attention to learning of school subjects
Posner, M. I., & Rothbart, M. K. (2014) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2014.02.003 · Cited by 72 · see citing works
Both attention and prediction are necessary for adaptive neuronal tuning in sensory processing
Hsu, Y., Hämäläinen, J. A., & Waszak, F. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00152 · Cited by 71 · see citing works
Developmental 'Awakening' of Primary Motor Cortex to the Sensory Consequences of Movement
Dooley, J. C., & BLUMBERG, M. S. (2018) · eLife · doi:10.7554/elife.41841 · Cited by 71 · see citing works
The use of repetition suppression paradigms in developmental cognitive neuroscience
Nordt, M., Hoehl, S., & Weigelt, S. (2016) · Cortex · doi:10.1016/j.cortex.2016.04.002 · Cited by 70 · see citing works
Visual habituation and dishabituation in preterm infants: A review and meta-analysis
Kavšek, M., & Bornstein, M. H. (2010) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2010.04.016 · Cited by 67 · see citing works
Auditory habituation in the fetus and neonate: an fMEG study
Muenssinger, J., Matuz, T., Schleger, F., Kiefer‐Schmidt, I., Goelz, R., Wacker‐Gussmann, A., Birbaumer, N., & Preissl, H. T. (2013) · Developmental Science · doi:10.1111/desc.12025 · Cited by 67 · see citing works
The onset of visual experience gates auditory cortex critical periods
Mowery, T. M., Kotak, V. C., & Sanes, D. H. (2016) · Nature Communications · doi:10.1038/ncomms10416 · Cited by 51 · see citing works
Supekar, K., Ryali, S., Mistry, P. K., & Menon, V. (2021) · Nature Communications · doi:10.1038/s41467-021-23822-5 · Cited by 51 · see citing works
Somatosensory mismatch negativity in healthy children
Restuccia, D., Zanini, S., Cazzagon, M., Piero, I. D., Martucci, L., & Marca, G. D. (2009) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.2009.03367.x · Cited by 49 · see citing works
Senderecka, M., Grabowska, A., Gerc, K., Szewczyk, J., & Chmylak, R. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.05.006 · Cited by 48 · see citing works
Predictive processing of pitch trends in newborn infants
Háden, G. P., Németh, R., Török, M., & Winkler, I. (2015) · Brain Research · doi:10.1016/j.brainres.2015.02.048 · Cited by 46 · see citing works
Atypical sensory processing is common in extremely low gestational age children
Rahkonen, P., Lano, A., Pesonen, A., Heinonen, K., Räikkönen, K., Vanhatalo, S., Autti, T. H., Valanne, L. K., Andersson, S., & Metsäranta, M. (2015) · Acta Paediatrica · doi:10.1111/apa.12911 · Cited by 46 · see citing works
Transdiagnostic Patterns of Sensory Processing in Autism and ADHD
Scheerer, N. E., Pourtousi, A., Yang, C. L., Ding, Z., Stojanoski, B. B., Anagnostou, E. A., Nicolson, R., Kelley, E. A., Georgiades, S., Crosbie, J., et al. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05798-3 · Cited by 46 · see citing works
Ewbank, M. P., Rhodes, G., von dem Hagen, E. A. H., Powell, T. E., Bright, N., Stoyanova, R. S., Baron-Cohen, S., & Calder, A. J. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu149 · Cited by 44 · see citing works
The Emergence of Hierarchical Somatosensory Processing in Late Prematurity
Whitehead, K., Papadelis, C. L., Laudiano‐Dray, M. P., Meek, J. H., & Lorenzo Fabrizi, D. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz030 · Cited by 43 · see citing works
Peisch, V. D., Rutter, T. M., Wilkinson, C. L., & Arnett, A. B. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2021.01.015 · Cited by 43 · see citing works
Fiske, A., de Klerk, C. C. J. M., Lui, K. Y. K., Collins-Jones, L. H., Hendry, A. J., Greenhalgh, I., Hall, A., Scerif, G., Dvergsdal, H., & Holmboe, K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119241 · Cited by 43 · see citing works
Deficits in Top-Down Sensory Prediction in Infants At Risk due to Premature Birth
Emberson, L. L., Boldin, A. M., Riccio, J. E., Guillet, R., & Aslin, R. Ν. (2017) · Current Biology · doi:10.1016/j.cub.2016.12.028 · Cited by 43 · see citing works
Attention as a multi‐level system of weights and balances
Narhi‐Martinez, W., Dube, B., & Golomb, J. D. (2022) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1633 · Cited by 40 · see citing works
van Laarhoven, T., Stekelenburg, J. J., Eussen, M. L., & Vroomen, J. (2020) · Autism · doi:10.1177/1362361320926061 · Cited by 37 · see citing works
Attentional network deficits in children with autism spectrum disorder
Mutreja, R., Craig, C. M., & O’Boyle, M. W. (2015) · Developmental Neurorehabilitation · doi:10.3109/17518423.2015.1017663 · Cited by 37 · see citing works
Infants anticipate probabilistic but not deterministic outcomes
Téglás, E., & Bonatti, L. L. (2016) · Cognition · doi:10.1016/j.cognition.2016.09.003 · Cited by 37 · see citing works
Espenhahn, S., Godfrey, K., Kaur, S., Ross, M., Nath, N., Dmitrieva, O., McMorris, C. A., Cortese, F., Wright, C., Murias, K., et al. (2021) · Molecular Autism · doi:10.1186/s13229-021-00435-9 · Cited by 35 · see citing works
Neural measures of anticipatory bodily attention in children: Relations with executive function
Weiss, S. M., Meltzoff, A. N., & Marshall, P. J. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.08.002 · Cited by 35 · see citing works
Machado, A. C. C. D. P., Magalhães, L. D. C., de Oliveira, S. R., & Bouzada, M. C. F. (2019) · Early Human Development · doi:10.1016/j.earlhumdev.2019.104852 · Cited by 33 · see citing works
Poli, F., Ghilardi, T., Beijers, R., de Weerth, C., Hinne, M., Mars, R. B., & Hunnius, S. (2023) · Developmental Science · doi:10.1111/desc.13460 · Cited by 27 · see citing works
A theory of autism bridging across levels of description
Noel, J., & Angelaki, D. E. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.04.010 · Cited by 26 · see citing works
Preterm neonates distinguish rhythm violation through a hierarchy of cortical processing
Edalati, M., Mahmoudzadeh, M., Ghostine, G., Kongolo, G., Safaie, J., Wallois, F., & Moghimi, S. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101168 · Cited by 25 · see citing works
Newborn Response to Auditory Stimulus Discrepancy
Weiss, M. J., Zelazo, P. R., & Swain, I. U. (1988) · Child Development · doi:10.1111/j.1467-8624.1988.tb03681.x · Cited by 23 · see citing works
Expectation affects neural repetition suppression in infancy
Emberson, L. L., Boldin, A. M., Robertson, C. E., Cannon, G., & Aslin, R. Ν. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.11.001 · Cited by 23 · see citing works
Infants’ Motor Proficiency and Statistical Learning for Actions
Monroy, C., Gerson, S. A., & Hunnius, S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02174 · Cited by 23 · see citing works
Timing of repetition suppression of event‐related potentials to unattended objects
Stefanics, G., Heinzle, J., Czigler, I., Valentini, E., & Stephan, K. E. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13972 · Cited by 21 · see citing works
Sound omission related brain responses in children
Dercksen, T., Widmann, A., Scharf, F., & Wetzel, N. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.101045 · Cited by 19 · see citing works
Dumont, V., Bulla, J., Bessot, N., Gonidec, J., Zabalia, M., Guillois, B., & Roche‐Labarbe, N. (2017) · Developmental Psychobiology · doi:10.1002/dev.21526 · Cited by 17 · see citing works
Self-citationSingle-Trial EEG-fMRI Reveals the Generation Process of the Mismatch Negativity
Li, Q., Liu, G., Yuan, G., Wang, G., Wu, Z., & Zhao, X. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00168 · Cited by 16 · see citing works
SanMiguel, I., Costa‐Faidella, J., Lugo, Z., Vilella, E., & Escera, C. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.734200 · Cited by 16 · see citing works
Boldin, A. M., Geiger, R., & Emberson, L. L. (2018) · Developmental Psychobiology · doi:10.1002/dev.21624 · Cited by 15 · see citing works
Rhythmic and interval‐based temporal orienting in autism
Cannon, J. J., Eldracher, E., Cardinaux, A. L., Irfan, F., Bungert, L., Li, C. E., O’Brien, A. M., Treves, I. N., DIAMOND, S. P., & Sinha, P. (2023) · Autism Research · doi:10.1002/aur.2892 · Cited by 14 · see citing works
Martinez‐Alvarez, A., Pons, F., & de Diego‐Balaguer, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184698 · Cited by 13 · see citing works
Hsu, Y., & Hämäläinen, J. A. (2020) · Psychophysiology · doi:10.1111/psyp.13753 · Cited by 13 · see citing works
Sicard-Cras, I., Rioualen, S., Pellae, E., Misery, L., Sizun, J., & Roué, J. (2021) · Acta Paediatrica · doi:10.1111/apa.16115 · Cited by 13 · see citing works
Intention-based and sensory-based predictions
Darriba, Á., Hsu, Y., van Ommen, S., & Waszak, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-99445-z · Cited by 13 · see citing works
Infants’ neuroelectric responses to missing stimuli: Can missing stimuli be novel stimuli?
Nelson, C. A., Ellis, A. E., Collins, P. F., & Lang, S. F. (1990) · Developmental Neuropsychology · doi:10.1080/87565649009540471 · Cited by 13 · see citing works
Habituation as Parameter for Prediction of Mental Development in Healthy Preterm Infants
Weber, P., Depoorter, A., Hetzel, P. G., & Lemola, S. (2016) · Journal of Child Neurology · doi:10.1177/0883073816665312 · Cited by 12 · see citing works
Beyond Prior and Volatility: The Distinct Iterative Updating Account of ASDPreprint
Shi, Z., Allenmark, F., Theisinger, L. A., Pistorius, R. L., Glasauer, S., Müller, H. J., & Falter‐Wagner, C. M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.21.477218 · Cited by 12 · see citing works
Hartkopf, J., Moser, J., Schleger, F., Preissl, H. T., & Keune, J. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.08.029 · Cited by 11 · see citing works
How an infant's active response to structured experience supports perceptual-cognitive development
Baek, S., Jaffe‐Dax, S., & Emberson, L. L. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.05.015 · Cited by 11 · see citing works
Special treatment of prediction errors in autism spectrum disorder
Todorova, G. K., Pollick, F. E., & Muckli, L. F. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.108070 · Cited by 11 · see citing works
Schema formation and stimulus–schema discrepancy: A basic unit and its properties.
Zelazo, P. R. (2023) · Developmental Psychology · doi:10.1037/dev0001643 · Cited by 10 · see citing works
Event-related variability is modulated by task and development
Naik, S., Adibpour, P., Dubois, J., Dehaene‐Lambertz, G., & Battaglia, D. A. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120208 · Cited by 9 · see citing works
Somatosensory prediction in the premature neonate brain
Dumont, V., Giovannella, M., Zuba, D., Clouard, R., Durduran, T., Guillois, B., & Roche‐Labarbe, N. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101148 · Cited by 9 · see citing works
Self-citationTreatment of sensory information in neurodevelopmental disorders
Zoenen, D., & Delvenne, V. (2018) · Revue Medicale de Bruxelles · doi:10.30637/2018.17-073 · Cited by 9 · see citing works
Attention modulates repetition effects in a context of low periodicity
Hsu, Y., Darriba, Á., & Waszak, F. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147559 · Cited by 7 · see citing works
Wang, S., Zhang, X., Hong, T., Tzeng, O. J. L., & Aslin, R. Ν. (2022) · Brain and Language · doi:10.1016/j.bandl.2022.105129 · Cited by 7 · see citing works
Anquetil, M., Roche‐Labarbe, N., & Rossi, S. (2022) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1640 · Cited by 7 · see citing works
Self-citationFiske, A., de Klerk, C. C. J. M., Lui, K. Y. K., Collins-Jones, L. H., Hendry, A. J., Greenhalgh, I., Hall, A., Scerif, G., Dvergsdal, H., & Holmboe, K. (2021) · doi:10.31234/osf.io/r8m9b · Cited by 7 · see citing works
Neonatal neural responses to novelty related to behavioral inhibition at 1 year.
Schwarzlose, R. F., Filippi, C. A., Myers, M. J., Harper, J., Camacho, M. C., Smyser, T. A., Rogers, C. E., Shimony, J. S., Warner, B. B., Luby, J. L., et al. (2023) · Developmental Psychology · doi:10.1037/dev0001654 · Cited by 6 · see citing works
Newborn infants are sensitive to sound timing
Háden, G. P., Honing, H., & Winkler, I. (2012) · UvA-DARE (University of Amsterdam) · Cited by 6 · see citing works
Coughlan, S., Quigley, J., & Nixon, E. (2023) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2023.08.004 · Cited by 4 · see citing works
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- Van de Cruys S. Evers K. Van der Hallen R. Van Eylen L. Boets B. de-Wit L. Wagemans J. Precise minds in uncertain worlds: predictive coding in autism Psychol. Rev. 121 4 2014 649 675 10.1037/a0037665 25347312 · DOI · Paper page
Cited by
Sorted by citations
Adraoui, F. W., Violas, M., Viardot, G., Hettak, K., Tugler, S., Delpy, E., Maurin, A., L’Hostis, P., Rochelle, C. D. L., & Carvalho, K. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111555 · Cited by 4 · see citing works
Are prediction error modifications domain specific in autism but domain general in ADHD?
Plank, I. S., Yurova, A., Pior, A., Nowak, J., Bierlich, A. M., Papazov, B., Shi, Z., & Falter-Wagner, C. M. (2025) · Imaging neuroscience · doi:10.1162/imag.a.942 · Cited by 3 · see citing works
“While, in contrast to ASD research, no theoretical model of ADHD focuses on predictive coding explicitly ( Marais & Roche-Labarbe, 2025), Ziegler et al. (2016) deduced hypotheses from common neurobiological theories regarding possible increases and decreases in reward prediction errors.”
Zuo, M., Zhang, Y., Wang, R., Huang, D., Yu, L., & Wang, S. (2025) · Brain Sciences · doi:10.3390/brainsci15090905 · Cited by 2 · see citing works
Sound, brain, and bias: Dissecting the Laurel–Yanny illusion with auditory and cognitive markers
Ceylan, D. Ş., Gülteki̇n, G., Saçlı, Y., Aksu, B. A., Aksu, B., Atasoy, E., & Aldemir, B. (2025) · The Journal of the Acoustical Society of America · doi:10.1121/10.0039714 · Cited by 2 · see citing works
Uncertainty as an operative construct and treatment target in functional neurological disorder
Rush, B. K., Watson, M. M., Marfilius, T., Irani, A., Perrine, B. W., & Hanks, R. A. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1770123 · Cited by 2 · see citing works
Rovelli, K., & Balconi, M. (2025) · IRCCAN · doi:10.7359/217-2025-rove
Wang, X., & Tong, S. X. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.14.681876
Reduced Habituation: A Key to Understanding Sensory Sensitivity in Autism
Tarantino, V., Santostefano, A., Catania, A., Giordano, S., Montalto, G., Calistro, F., Oliveri, M., & Turriziani, P. (2026) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-026-07241-3
Yassin, W., Green, J. B., Cai, M., Ansari, D., Kong, X., del Re, E. C., Hamilton, H., Nicholas, S., Roach, B. J., Bachman, P., et al. (2026) · medRxiv · doi:10.64898/2026.03.14.26347633
Seo, J. H., Cho, I.-H., Huh, H.-J., & Nam, Y.-J. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1015062
Wang, N., Zhu, C., Huang, Y., Zhou, Z., Li, Y., Cheng, D., & Chen, Z. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1752788
Atypical auditory cortical processing in ADHD during early and middle childhood
Pranjić, M., Likitlersuang, J., & Arnett, A. B. (2026) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2026.101780
Yang, L., Dang, C., Yin, W., Xu, X., Yuan, X., Yang, H., Zhang, S., Jiang, S., Guo, Y., Wang, Y., et al. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122278
- Authors
- Marais, A.-L., & Roche-Labarbe, N.
- Affiliations
- Inserm (FR)
- Venue
- Developmental Cognitive Neuroscience
- Publisher
- Elsevier BV
- Published
- 2025-04
- Volume
- 72
- Pages
- 101519
- ISSN
- 1878-9293 (ISSN-L)
- PMC
- PMC11795830
- OpenAlex
- W4406704507
- Cited by
- 12
- References
- 142
- Citations by year
- 2026: 7 · 2025: 5
- FWCI
- 23.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Developmental Cognitive Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministère de l'Enseignement supérieur et de la Recherche
- French National Research Agency (#ANR-19-CE37-0015)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- predictive coding, attention, sensory prediction, repetition suppression, autism spectrum disorder, neurodevelopmental disorders, typical development, infants, children, neonates, perception
- MeSH terms
- Cognitive Neuroscience, Attention, Brain, Child, Cognition, Humans, Neurodevelopmental Disorders
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