Prediction in autism spectrum disorder: A systematic review of empirical evidence
Open accessAbstract
According to a recent influential proposal, several phenotypic features of autism spectrum disorder (ASD) may be accounted for by differences in predictive skills between individuals with ASD and neurotypical individuals. In this systematic review, we describe results from 47 studies that have empirically tested this hypothesis. We assess the results based on two observable aspects of prediction: learning a pairing between an antecedent and a consequence and responding to an antecedent in a predictive manner. Taken together, these studies suggest distinct differences in both predictive learning and predictive response. Studies documenting differences in learning predictive pairings indicate challenges in detecting such relationships especially when predictive features of an antecedent have low salience or consistency, and studies showing differences in habituation and perceptual adaptation suggest low‐level predictive processing differences in ASD. These challenges may account for the observed differences in the influence of predictive priors, in spontaneous predictive movement or gaze, and in social prediction. An important goal for future research will be to better define and constrain the broad domain‐general hypothesis by testing multiple types of prediction within the same individuals. Additional promising avenues include studying prediction within naturalistic contexts and assessing the effect of prediction‐based intervention on supporting functional outcomes for individuals with ASD. Lay Summary: Researchers have suggested that many features of autism spectrum disorder (ASD) may be explained by differences in the prediction skills of people with ASD. We review results from 47 studies. These studies suggest that ASD may be associated with differences in the learning of predictive pairings (e.g., learning cause and effect) and in low‐level predictive processing in the brain (e.g., processing repeated sounds). These findings lay the groundwork for research that can improve our understanding of ASD and inform interventions. Autism Res 2021, 14: 604–630. © 2021 International Society for Autism Research and Wiley Periodicals LLC
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Several theories postulate that predictive impairments underlie autism spectrum disorder, many based on the Bayesian Brain framework.
“In the last years, several theories have postulated predictive impairments to underlie autism spectrum disorder (ASD), many of which were based on the Bayesian Brain framework”
From Are prediction error modifications domain specific in autism but domain general in ADHD? (2025) · cites this paper as Cannon et al., 2021
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“However, one study indicated that this effect may be attentiondependent [Karaminis et al., 2020], as we discuss below.”
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BackgroundResultInfluentialChildren on the autism spectrum update their behaviour in response to a volatile environment
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BackgroundToddlers with Elevated Autism Symptoms Show Slowed Habituation to Faces
Webb, S. J., Jones, E. J. H., Merkle, K. L., Namkung, J. M., Toth, K., Greenson, J., Murias, M., & Dawson, G. (2010) · Child Neuropsychology · doi:10.1080/09297041003601454 · Cited by 102 · cited 1× · see citing works
“This face-specific habituation result has been replicated by other researchers [Kleinhans, Richards, Greenson, Dawson, & Aylward, 2016; Webb et al., 2010]; however, only one of these studies met the inclusion criteria for this review.”
ResultPredictive 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 · cited 3× · see citing works
“INSARCannon et al./Prediction in Autism Spectrum Disorder624 Two studies reviewed here looked directly at attended vs. unattended predictions, with the target of attention determined by task instructions [Gonzalez-Gadea et al., 2015; Westerfield et al., 2015].”
MethodResultChildren with autism spectrum disorder show reduced adaptation to number
Turi, M., Burr, D. C., Igliozzi, R., Aagten‐Murphy, D., Muratori, F., & Pellicano, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504099112 · Cited by 96 · cited 3× · see citing works
“Three of these studies showed reduced perceptual adaptation in the ASD group [Turi et al., 2015, 2016; van Boxtel et al., 2016].”
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“The third [Chambon et al., 2017] showed ordinary learning and biasing application of stimulus statistics on perceptual report; this was contrasted against the lack of social bias in the ASD group in a social version of the task.”
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BackgroundDisrupted prediction errors index social deficits in autism spectrum disorder
Balsters, J. H., Apps, M. A. J., Bolis, D., Lehner, R., Gallagher, L., & Wenderoth, N. (2017) · Brain · doi:10.1093/brain/aww287 · Cited by 85 · cited 3× · see citing works
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BackgroundMethodNo rapid audiovisual recalibration in adults on the autism spectrum
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“Three of these studies showed reduced perceptual adaptation in the ASD group [Turi et al., 2015, 2016; van Boxtel et al., 2016].”
BackgroundIntroducing a Bayesian model of selective attention based on active inference
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Disentangling signal and noise in autism spectrum disorder
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Weak Priors versus Overfitting of Predictions in Autism: Reply to Pellicano and Burr ( TICS , 2012)
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Increased cortical reactivity to repeated tones at 8 months in infants with later ASD
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17 Some Innate Foundations of Social and Moral Cognition
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“Four studies looked at predictions based primarily on social expectations, which are presumably learned over a lifetime of social experiences but may also have an innate component [Wynn, 2008].”
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“…studies of implicit and statistical learning have shown no behavioral differences in ASD [Foti, De Crescenzo, Vivanti, Menghini, & Vicari, 2015; Mayo & Eigsti, 2012; Obeid, Brooks, Powers, GillespieLynch, & Lum, 2016], but EEG and brain imaging evidence suggests that participants with ASD may…”
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Reduced auditory cortical adaptation in autism spectrum disorder
Millin, R., Kolodny, T., Flevaris, A. V., Kale, A. M., Schallmo, M.-P., Gerdts, J., Bernier, R. A., & Murray, S. (2018) · eLife · doi:10.7554/elife.36493 · Cited by 64 · cited 7× · see citing works
“…to repeated tones [Font-Alaminos et al., 2020; Kolesnik et al., 2019; Millin et al., 2018; Ruiz-Martínez et al., 2020] and faces [Ewbank et al., 2017; Tam et al., 2017] but not to other images [Millin et al., 2018; Utzerath, Schmits, Buitelaar, & de Lange, 2018] as measured by EEG and fMRI.”
BackgroundResultInfluentialvan Boxtel, J. J. A., Dapretto, M., & Lu, H. (2016) · Autism Research · doi:10.1002/aur.1595 · Cited by 62 · cited 1× · see citing works
“Three of these studies showed reduced perceptual adaptation in the ASD group [Turi et al., 2015, 2016; van Boxtel et al., 2016].”
BackgroundVivanti, G., Hocking, D., Fanning, P. A. J., Uljarević, M., Postorino, V., Mazzone, L., & Dissanayake, C. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.01.006 · Cited by 56 · cited 1× · see citing works
“Eight of these studies measured anticipatory eye movement as an indicator of prediction [Barzy et al., 2019; Braukmann et al., 2018; Ego et al., 2016; Ganglmayer et al., 2020; Greene et al., 2019; Krogh-Jespersen et al., 2018; Schuwerk et al., 2016; Vivanti et al., 2018].”
BackgroundContextual priors do not modulate action prediction in children with autism
Amoruso, L., Narzisi, A., Pinzino, M., Finisguerra, A., Billeci, L., Calderoni, S., Fabbro, F., Muratori, F., Volzone, A., & Urgesi, C. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.1319 · Cited by 55 · cited 4× · see citing works
“Of these, one reported unambiguously behaviorally impaired prediction: ASD children’s perceptual inferences indicated that they did not learn to predict an action from a statistically associated context in which that action occurred [Amoruso et al., 2019].”
BackgroundResultInfluentialThe Use of Prior Knowledge for Perceptual Inference Is Preserved in ASD
de Cruys, S. V., Vanmarcke, S., de Put, I. V., & Wagemans, J. P. (2017) · Clinical Psychological Science · doi:10.1177/2167702617740955 · Cited by 54 · cited 5× · see citing works
“These results, combined with results not reviewed here indicating intactness of static priors (Van de Cruys et al., 2018) (perceptual biases not dependent on an antecedent context but applicable throughout life), indicate that ASD is not characterized by an impairment in employing predictions as…”
BackgroundResultInfluentialFulceri, F., Tonacci, A., Lucaferro, A., Apicella, F., Narzisi, A., Vincenti, G., Muratori, F., & Contaldo, A. (2018) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2018.05.018 · Cited by 54 · cited 4× · see citing works
“Of these, two reported differences in anticipatory action [Fulceri et al., 2018; Landa, Haworth, & Nebel, 2016], two reported no impairment in anticipatory behavior (eye movements [Ego et al., 2016] or instructed timed response [Tewolde, Bishop, & Manning, 2018]), and one reported difference in…”
BackgroundInfluentialPrecise Worlds for Certain Minds: An Ecological Perspective on the Relational Self in Autism
Constant, A., Bervoets, J., Hens, K., & de Cruys, S. V. (2018) · Topoi · doi:10.1007/s11245-018-9546-4 · Cited by 53 · see citing works
Impaired P1 Habituation and Mismatch Negativity in Children with Autism Spectrum Disorder
Ruiz-Martínez, F. J., Rodríguez-Martínez, E. I., Wilson, C. E., Yau, S., Saldaña, D., & Gómez, C. M. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04299-0 · Cited by 53 · cited 3× · see citing works
“This included decreased neural habituation to repeated tones [Font-Alaminos et al., 2020; Kolesnik et al., 2019; Millin et al., 2018; Ruiz-Martínez et al., 2020] and faces [Ewbank et al., 2017; Tam et al., 2017] but not to other images [Millin et al., 2018; Utzerath, Schmits, Buitelaar, & de Lange,…”
BackgroundResultBehavioral measures of implicit theory of mind in adults with high functioning autism
Deschrijver, E., Bardi, L., Wiersema, J. R., & Braß, M. (2015) · Cognitive Neuroscience · doi:10.1080/17588928.2015.1085375 · Cited by 49 · cited 1× · see citing works
“[Barzy et al., 2019; Deschrijver et al., 2016; Kunchulia et al., 2017, 2020; Lawson et al., 2017; Tam et al., 2017; Thillay et al., 2016].”
Atypical Brain Mechanisms of Prediction According to Uncertainty in Autism
Thillay, A., Lemaire, M., Roux, S., Houy‐Durand, E., Barthélémy, C., Knight, R. T., Bidet‐Caulet, A., & Bonnet‐Brilhault, F. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00317 · Cited by 48 · cited 4× · see citing works
“Individuals with ASD were observed to show similar ramping activity (contingent negative variation, or CNV) preceding predictable targets as well as non-targets, while TD controls showed a greater CNV amplitude preceding predictable targets only [Thillay et al., 2016].”
BackgroundInfluentialFont-Alaminos, M., Cornella, M., Costa-Faidella, J., Hervás, A., Leung, S., Rueda, I., & Escera, C. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2019.107807 · Cited by 47 · see citing works
Kinard, J. L., Mosner, M. G., Greene, R. K., Addicott, M. A., Bizzell, J., Petty, C., Cernasov, P., Walsh, E. C., Eisenlohr-Moul, T. A., Carter, R. M., et al. (2020) · Autism Research · doi:10.1002/aur.2273 · Cited by 47 · see citing works
Repetition suppression and memory for faces is reduced in adults with autism spectrum conditions
Ewbank, M. P., Pell, P. J., Powell, T. E., von dem Hagen, E. A. H., Baron-Cohen, S., & Calder, A. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw373 · Cited by 45 · cited 6× · see citing works
“These results were nuanced: individuals with ASD demonstrated impaired habituation to auditory but not visual stimuli [Millin et al., 2018], and to faces (Ewbank et al., 2017; Tam et al., 2017), but not shapes (Ewbank et al., 2017).”
BackgroundResultInfluentialWeaker neural suppression in autism
Schallmo, M., Kolodny, T., Kale, A. M., Millin, R., Flevaris, A. V., Edden, R. A. E., Gerdts, J. A., Bernier, R., & Murray, S. O. (2020) · Nature Communications · doi:10.1038/s41467-020-16495-z · Cited by 45 · cited 1× · see citing works
“, 2013], which itself may underlie the observation of weaker neural suppression [Schallmo et al., 2020].”
BackgroundSchuwerk, T., Sodian, B., & Paulus, M. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2899-x · Cited by 44 · cited 3× · see citing works
“, 2016]), the remaining six found fewer predictive eye movements in ASD based on learned [Schuwerk et al., 2016] or instructed [Greene et al.”
BackgroundAltered Dynamics of the fMRI Response to Faces in Individuals with Autism
Kleinhans, N. M., Richards, T. L., Greenson, J., Dawson, G., & Aylward, E. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2565-8 · Cited by 42 · cited 1× · see citing works
“This face-specific habituation result has been replicated by other researchers [Kleinhans, Richards, Greenson, Dawson, & Aylward, 2016; Webb et al., 2010]; however, only one of these studies met the inclusion criteria for this review.”
ResultTam, F. I., King, J. A., Geisler, D., Korb, F. M., Sareng, J., Ritschel, F., Steding, J., Albertowski, K. U., Roessner, V., & Ehrlich, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-14097-2 · Cited by 38 · cited 5× · see citing works
“…to repeated tones [Font-Alaminos et al., 2020; Kolesnik et al., 2019; Millin et al., 2018; Ruiz-Martínez et al., 2020] and faces [Ewbank et al., 2017; Tam et al., 2017] but not to other images [Millin et al., 2018; Utzerath, Schmits, Buitelaar, & de Lange, 2018] as measured by EEG and fMRI.”
BackgroundResultInfluentialvan Laarhoven, T., Stekelenburg, J. J., Eussen, M. L., & Vroomen, J. (2020) · Autism · doi:10.1177/1362361320926061 · Cited by 37 · cited 2× · see citing works
“Finally, the presence of a stronger omission response to the sight of a handclap without the sound [van Laarhoven et al., 2020] suggests that predictive processes based on strongly learned associations are present in ASD, and that signaling differences may stem from an over signaling of prediction…”
BackgroundResultLanda, R. J., Haworth, J. L., & Nebel, M. B. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00721 · Cited by 35 · cited 1× · see citing works
“Two studies measured spontaneous anticipatory motor behavior in infants at risk of ASD as an indicator of their predictions [Landa et al., 2016; Northrup, 2017] and found these behaviors under expressed.”
BackgroundSocial and nonsocial visual prediction errors in autism spectrum disorder
Greene, R. K., Zheng, S., Kinard, J. L., Mosner, M. G., Wiesen, C. A., Kennedy, D. P., & Dichter, G. S. (2019) · Autism Research · doi:10.1002/aur.2090 · Cited by 33 · cited 5× · see citing works
“…part associations [Braukmann et al., 2018] and comparable predictive tracking of a moving object through occlusion [Ego et al., 2016]), the remaining six found fewer predictive eye movements in ASD based on learned [Schuwerk et al., 2016] or instructed [Greene et al., 2019] statistical tendencies.”
BackgroundInfluentialGanglmayer, K., Schuwerk, T., Sodian, B., & Paulus, M. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-03964-8 · Cited by 33 · cited 4× · see citing works
“However, results showing prolonged but successful predictive learning in ASD [e.g., Ganglmayer et al., 2020], and unimpaired predictive behavior under conditions of explicit instruction [e.g., Ego et al., 2016], suggest that predictive behaviors and cognitive strategies may be promising targets for…”
BackgroundResultInfluentialKrogh‐Jespersen, S., Káldy, Z., Valadez, A., Carter, A. S., & Woodward, A. L. (2018) · Autism Research · doi:10.1002/aur.1936 · Cited by 32 · cited 1× · see citing works
“Two more studies looked at predictions based on kinematic/temporal extrapolation in combination with other information [Amoruso et al., 2019; Krogh-Jespersen, Kaldy, Valadez, Carter, & Woodward, 2018].”
Król, M. E., & Król, M. K. (2019) · Autism Research · doi:10.1002/aur.2133 · Cited by 30 · cited 1× · see citing works
“The other used a similar approach, but measured participant eye movement [Król & Król, 2019].”
MethodBarzy, M. M. H., Black, J., Williams, D. M., & Ferguson, H. J. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000705 · Cited by 27 · see citing works
Visual motion prediction and verbal false memory performance in autistic children
Tewolde, F. G., Bishop, D. V. M., & Manning, C. (2018) · Autism Research · doi:10.1002/aur.1915 · Cited by 25 · cited 2× · see citing works
“Two further studies had participants engage in deliberately coordinated real or virtual movement and used associated parameters (e.g., timing, position, speed) as measures of prediction [Fulceri et al., 2018; Tewolde et al., 2018].”
BackgroundAdaptation to the Speed of Biological Motion in Autism
Karaminis, T. N., Arrighi, R., Forth, G., Burr, D. C., & Pellicano, E. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04241-4 · Cited by 25 · cited 3× · see citing works
“However, one study indicated that this effect may be attentiondependent [Karaminis et al., 2020], as we discuss below.”
BackgroundResultCox, D. J., Owens, J. M., Barnes, L. E., MONCRIEF, M. A., Boukhechba, M., Buckman, S., Banton, T. A., & Wotring, B. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04341-1 · Cited by 25 · cited 1× · see citing works
“Other INSARCannon et al./Prediction in Autism Spectrum Disorder626 intervention studies have focused on enhancing prediction skills by using simulators to teach new skills, including driving Cox et al., 2020].”
BackgroundEgo, C., Bonhomme, L., de Xivry, J. O., Fonséca, D. D., Lefèvre, P., Masson, G. S., & Deruelle, C. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.08.021 · Cited by 23 · cited 7× · see citing works
“, 2018] and comparable predictive tracking of a moving object through occlusion [Ego et al., 2016]), the remaining six found fewer predictive eye movements in ASD based on learned [Schuwerk et al.”
BackgroundResultInfluentialAdolescents with autism show typical fMRI repetition suppression, but atypical surprise response
Utzerath, C., Schmits, I. C., Buitelaar, J., & de Lange, F. P. (2018) · Cortex · doi:10.1016/j.cortex.2018.08.019 · Cited by 23 · cited 1× · see citing works
“One study demonstrated intact repetition suppression to shapes in the visual cortex, but a difference in response to expected compared to unexpected faces in V1 [Utzerath et al., 2018].”
ResultContingency detection in a complex world
Northrup, J. B. (2016) · International Journal of Behavioral Development · doi:10.1177/0165025416668582 · Cited by 23 · cited 1× · see citing works
“Two studies measured spontaneous anticipatory motor behavior in infants at risk of ASD as an indicator of their predictions [Landa et al., 2016; Northrup, 2017] and found these behaviors under expressed.”
BackgroundAtypical emotional anticipation in high-functioning autism
Palumbo, L., Burnett, H. G., & Jellema, T. (2015) · Molecular Autism · doi:10.1186/s13229-015-0039-7 · Cited by 22 · cited 3× · see citing works
“…(Van de Cruys et al., 2018) of these studies reported that responses from the ASD group were less influenced by priors than responses from the control group [Amoruso et al., 2019; Chambon et al., 2017; Karaminis et al., 2016; Lieder et al., 2019; Palumbo et al., 2015; von der Lühe et al., 2016].”
ResultAction prediction in 10-month-old infants at high and low familial risk for Autism Spectrum Disorder
Braukmann, R., Ward, E. K., Hessels, R. S., Harold Bekkering, A., Buitelaar, J. K., & Hunnius, S. (2018) · Research in Autism · doi:10.1016/j.rasd.2018.02.004 · Cited by 22 · cited 2× · see citing works
“…studies found no differences in predictive eye movements (i.e., equal amounts of predictive saccades based on common action/body part associations [Braukmann et al., 2018] and comparable predictive tracking of a moving object through occlusion [Ego et al., 2016]), the remaining six found fewer…”
BackgroundElectrophysiological alterations in motor-auditory predictive coding in autism spectrum disorder
van Laarhoven, T., Stekelenburg, J. J., Eussen, M. L. J. M., & Vroomen, J. (2019) · Autism Research · doi:10.1002/aur.2087 · Cited by 22 · see citing works
Neural Mechanisms of Reward Prediction Error in Autism Spectrum Disorder
Mosner, M. G., McLaurin, R. E., Kinard, J. L., Hakimi, S., Parelman, J. M., Shah, J. S., Bizzell, J., Greene, R. K., Cernasov, P., Walsh, E. C., et al. (2019) · Autism Research and Treatment · doi:10.1155/2019/5469191 · Cited by 22 · cited 2× · see citing works
“One study used non-social learned outcome expectancies [Mosner et al., 2019], and two used social conditions [Balsters et al., 2017; Kinard et al., 2020].”
MethodHallett, V., Mueller, J., Breese, L., Hollett, M., Beresford, B., Irvine, A. L., Pickles, A. R., Slonims, V., Scott, S., Charman, T., et al. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04442-2 · Cited by 22 · see citing works
Grisoni, L., Moseley, R. L., Motlagh, S., Kandia, D., Sener, N., Pulvermüller, F., Roepke, S., & Mohr, B. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00395 · Cited by 21 · see citing works
Difficulties predicting time-to-arrival in individuals with autism spectrum disorders
Sheppard, E., van Loon, E. M., Underwood, G., & Ropar, D. (2016) · Research in Autism · doi:10.1016/j.rasd.2016.05.001 · Cited by 19 · cited 1× · see citing works
“A second study had participants indicate their predictions by explicitly reporting what they thought would happen, specifically which of two cars they thought would arrive first [Sheppard et al., 2016].”
BackgroundResponse to changing contingencies in infants at high and low risk for autism spectrum disorder
Northrup, J. B., Libertus, K., & Iverson, J. M. (2017) · Autism Research · doi:10.1002/aur.1770 · Cited by 19 · see citing works
Intact perceptual bias in autism contradicts the decreased normalization model
de Cruys, S. V., Vanmarcke, S., Steyaert, J. G., & Wagemans, J. P. (2018) · Scientific Reports · doi:10.1038/s41598-018-31042-z · Cited by 16 · see citing works
Tracking the Sensory Environment: An ERP Study of Probability and Context Updating in ASD
Westerfield, M., Zinni, M., Vo, K., & Townsend, J. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2045-6 · Cited by 15 · cited 3× · see citing works
“INSARCannon et al./Prediction in Autism Spectrum Disorder624 Two studies reviewed here looked directly at attended vs. unattended predictions, with the target of attention determined by task instructions [Gonzalez-Gadea et al., 2015; Westerfield et al., 2015].”
BackgroundMethodZwart, F. S., Vissers, C., van der Meij, R., Kessels, R. P. C., & Maes, J. H. R. (2017) · Autism Research · doi:10.1002/aur.1802 · Cited by 13 · see citing works
Time-based event expectancies in children with Autism spectrum disorder
Kunchulia, M., Tatishvili, T., Lomidze, N., Parkosadze, K., & Thomaschke, R. (2017) · Experimental Brain Research · doi:10.1007/s00221-017-5024-2 · Cited by 11 · cited 1× · see citing works
“[Barzy et al., 2019; Deschrijver et al., 2016; Kunchulia et al., 2017, 2020; Lawson et al., 2017; Tam et al., 2017; Thillay et al., 2016].”
Difficulties with multi-sensory fear conditioning in individuals with autism spectrum disorder
Powell, P. S., Travers, B. G., Klinger, L. G., & Klinger, M. R. (2016) · Research in Autism · doi:10.1016/j.rasd.2016.02.008 · Cited by 10 · see citing works
Children with autism spectrum disorder show increased sensitivity to time-based predictability
Kunchulia, M., Tatishvili, T., Parkosadze, K., Lomidze, N., & Thomaschke, R. (2019) · International Journal of Developmental Disabilities · doi:10.1080/20473869.2018.1564447 · Cited by 9 · cited 1× · see citing works
“[Barzy et al., 2019; Deschrijver et al., 2016; Kunchulia et al., 2017, 2020; Lawson et al., 2017; Tam et al., 2017; Thillay et al., 2016].”
Kosaki, Y., & Watanabe, S. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.08.001 · Cited by 7 · cited 3× · see citing works
“Studies looking at predictive eye movements based on kinematic information found them unaffected [Ego et al., 2016; Krogh-Jespersen et al., 2018].”
BackgroundNeural Systems Underlying the Prediction of Complex Events
Schubotz, R. I. (2015) · Cognitive systems monographs · doi:10.1007/978-3-319-22599-9_7 · Cited by 4 · see citing works
The effects of stimulus predictability upon auditory habituation and acquisition
McDaniel, J. W. (1964) · ThinkTech (Texas Tech University) · Cited by 3 · see citing works
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- van Boxtel JJA, Dapretto M, & Lu H (2016b). Intact recognition, but attenuated adaptation, for biological motion in youth with autism spectrum disorder. Autism Research: Official Journal of the International Society for Autism Research, 9(10), 1103– 1113. 26808343
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10 years of Bayesian theories of autism: A comprehensive review
Angeletos Chrysaitis, N., & Seriès, P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105022 · Cited by 92 · see citing works
Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model
Tarasi, L., Trajkovic, J., Diciotti, S., di Pellegrino, G., Ferri, F., Ursino, M., & Romei, V. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.006 · Cited by 69 · see citing works
Gibbs, V., Hudson, J. L., & Pellicano, E. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05647-3 · Cited by 41 · see citing works
Bowsher-Murray, C., Gerson, S. A., Hagen, E. V. D., & Jones, C. R. G. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.897015 · Cited by 42 · see citing works
Neural correlates of hierarchical predictive processes in autistic adults
Sapey-Triomphe, L.-A., Pattyn, L., Weilnhammer, V., Sterzer, P., & Wagemans, J. (2023) · Nature Communications · doi:10.1038/s41467-023-38580-9 · Cited by 35 · see citing works
“Associative learning would be particularly dif fi cult in ASD when predictive features have low salience or consistency 20 .”
InfluentialAn examination of active inference in autistic adults using immersive virtual reality
Arthur, T., Harris, D., Buckingham, G., Brosnan, M., Wilson, M., Williams, G., & Vine, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-99864-y · Cited by 44 · see citing works
Prediction learning in adults with autism and its molecular correlates
Sapey‐Triomphe, L., Temmerman, J., Puts, N. A. J., & Wagemans, J. P. (2021) · Molecular Autism · doi:10.1186/s13229-021-00470-6 · Cited by 36 · see citing works
Beker, S., Foxe, J. J., & Molholm, S. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00329.2021 · Cited by 35 · see citing works
Merchie, A., & Gomot, M. (2023) · Brain Sciences · doi:10.3390/brainsci13071110 · Cited by 37 · see citing works
“These different theories and assumptions were presented in a recent literature review on prediction in autistic people [167].”
BackgroundBanker, S. M., Harrington, M., Schafer, M., Na, S., Heflin, M., Barkley, S., Trayvick, J., Peters, A. W., Thinakaran, A. A., Schiller, D., et al. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00385-8 · Cited by 34 · see citing works
“We hypothesized that impairments in ToM and social prediction may make it more difficult for individuals with ASD to exert social influence 29–33 .”
Tigga, N. P., & Garg, S. (2022) · Health Information Science and Systems · doi:10.1007/s13755-022-00205-8 · Cited by 37 · see citing works
“Over the years, published research has adopted electroencephalography (EEG) signals for mental health predictions, including conditions such as schizophrenia [6], epilepsy [7], dementia [8] and autism [9].”
BackgroundWehrle, S., Cangemi, F., Janz, A., Vogeley, K. T., & Grice, M. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284029 · Cited by 32 · see citing works
“…precise turn-timing is highly challenging cognitively, as it can only be achieved if speakers are able to accurately predict the communicative intentions of their interlocutor [60–65], and b) predicting the behaviour of others is a skill that many autistic individuals seem to struggle with [66].”
Intact predictive processing in autistic adults: evidence from statistical learning
Pesthy, O., Farkas, K., Sapey‐Triomphe, L., Guttengéber, A., Komoróczy, E., Janacsek, K., Réthelyi, J., & Németh, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-38708-3 · Cited by 32 · see citing works
Cerebellar Contributions to Social Cognition in ASD: A Predictive Processing Framework
Frosch, I. R., Mittal, V. A., & D’Mello, A. M. (2022) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2022.810425 · Cited by 27 · see citing works
“A consistent observation is that some autistic individuals1 do not rely on past information to flexibly adjust their behavior and adapt to changing situations (Cannon et al., 2021).”
BackgroundA Comparative Analysis of Prediction of Autism Spectrum Disorder (ASD) using Machine Learning
Vishal, V., Singh, A. K., Jinila, Y. B., Kavitha, C., Shyry, S. P., & Jabez, J. (2022) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei53556.2022.9777240 · Cited by 24 · see citing works
Olivito, G., Siciliano, L., Clausi, S., Lupo, M., Baiocco, R., Gragnani, A., Saettoni, M., Chiaie, R. D., Laghi, F., & Leggio, M. G. (2023) · Biomedicines · doi:10.3390/biomedicines11020309 · Cited by 25 · see citing works
Testing predictive coding theories of autism spectrum disorder using models of active inference
Arthur, T., Vine, S., Buckingham, G., Brosnan, M., Wilson, M., & Harris, D. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011473 · Cited by 21 · see citing works
“These context-dependent results support the generally inconsistent study findings in the field (see [27,33] for reviews) and align with our previous observations [42,43,48,77].”
BackgroundResultGkintoni, E., Panagioti, M., Vassilopoulos, S. P., Νικολάου, Γ., Boutsinas, B., & Vantarakis, A. (2025) · Healthcare · doi:10.3390/healthcare13151776 · Cited by 26 · see citing works
Social Knowledge & Performance in Autism: A Critical Review & Recommendations
Gates, J. A., McNair, M. L., Richards, J. K., & Lerner, M. D. (2023) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-023-00449-0 · Cited by 22 · see citing works
“Comparisons to non-autistic youth have suggested specific differences in prediction abilities, which were reviewed in a recent review assessing the empirical evidence of prediction impairment in autism that suggested specific differences in prediction in autistic individuals (Cannon et al., 2021).”
BackgroundInfluentialInteroception in Autism: A Narrative Review of Behavioral and Neurobiological Data
Loureiro, F., Ringold, S. M., & Aziz‐Zadeh, L. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s410605 · Cited by 26 · see citing works
“28,77 However, as previously discussed, predictive models remain untested and debated for the interoception (and also debated for exteroception in autism; see Sapey-Triomphe et al; 78 Cannon et al; 79 Finnemann et al; 80 Ward et al 81 ).”
Investigating how Explicit Contextual Cues Affect Predictive Sensorimotor Control in Autistic Adults
Arthur, T., Brosnan, M., Harris, D., Buckingham, G., Wilson, M., Williams, G., & Vine, S. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05718-5 · Cited by 20 · see citing works
Gaiato, M. H. B., Zotesso, M. C., Silveira, R. D. R., & Ferreira, L. (2022) · Revista Eletrônica Acervo Saúde · doi:10.25248/reas.e10919.2022 · Cited by 18 · see citing works
Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism
Hu, A., Kozloff, V., Horne, A. O. V., Chugani, D., & Qi, Z.-H. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-05902-1 · Cited by 16 · see citing works
“Slower target detection during learning may stem from difficulties with encoding and binding linguistic stimuli, computing probabilistic relationships, or learning the predictive parings between stimuli (Cannon et al., 2021).”
BackgroundAutistic Adults Show Intact Learning on a Visuospatial Serial Reaction Time Task
Treves, I. N., Cannon, J. J., Shin, E., Li, C. E., Bungert, L., O’Brien, A. M., Cardinaux, A. L., Sinha, P., & Gabrieli, J. D. E. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-05894-y · Cited by 16 · see citing works
Self-citationTemporal binding of social events less pronounced in individuals with Autism Spectrum Disorder
Vogel, D. H. V., Jording, M., Esser, C., Conrad, A., Weiss, P. H., & Vogeley, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-19309-y · 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
“This is consistent with a systematic review of prediction in autism (Cannon et al., 2021) that proposed that predictive impairment may be restricted to difficulty learning of subtle predictive relationships, differences in the neural signaling of low-level implicit predictions, and a relative absence of spontaneous en…”
BackgroundSelf-citationAutism Spectrum Disorder: What Do We Know and Where Do We Go?
Leisman, G., & Melillo, R. J. (2025) · Brain Sciences · doi:10.3390/brainsci15091010 · Cited by 18 · see citing works
“Neural data suggest enhanced low-level perceptual processing and reduced top-down modulation, supporting a predictive coding framework for perception in ASD [49].”
Habituation of auditory responses in young autistic and neurotypical children
Dwyer, P. S. R., Williams, Z. J., Vukušić, S., Saron, C. D., & Rivera, S. M. (2023) · Autism Research · doi:10.1002/aur.3022 · Cited by 13 · see citing works
“Researchers have proposed that such a pattern could be consistent with reductions of habituation: if autistic people are less able learn regularities, or fail to apply such expectations to predict stimuli, the neural response to repeated stimuli might not diminish (Cannon et al., 2021).”
BackgroundChao, Z. C., Komatsu, M., Matsumoto, M., Iijima, K., Nakagaki, K., & Ichinohe, N. (2024) · Communications Biology · doi:10.1038/s42003-024-06545-3 · Cited by 13 · see citing works
“The results advance our understanding of ASD (as seen through this animal model) in terms of the influential predictive coding theory.”
Cognitive flexibility in autism: How task predictability and sex influence performances
Lacroix, A., Torija, E., Logemann, H. N. A., Baciu, M. V., Cserjési, R., Dutheil, F., Gomot, M., & Mermillod, M. (2024) · Autism Research · doi:10.1002/aur.3281 · Cited by 13 · see citing works
Loffi, R. G., Cruz, T. K. F., Paiva, G. M., Souto, D. O., Barreto, S. R., SANTANA, P. C. M., Nascimento, A. A. A. C., Costa, F. R. M., Cota, E. B., & Haase, V. G. (2024) · Children · doi:10.3390/children11020191 · Cited by 12 · see citing works
“Empirical evidence is still insufficient to decide among these alternatives [191].”
BackgroundReduced precision of motor and perceptual rhythmic timing in autistic adults
Cannon, J. J., Cardinaux, A. L., Bungert, L., Li, C. E., & Sinha, P. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e34261 · Cited by 12 · see citing works
“A recent systematic review of the literature on ASD and prediction [17] found that the spontaneous predictive engagement of motor processes seems to be impaired in autism.”
BackgroundSelf-citationDifferences in Prediction May Underlie Language Disorder in Autism
Weismer, S. E., & Saffran, J. R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.897187 · 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
“…for understanding the autistic cognitive profile, pointing to a particular style of processing sensory information and prior knowledge in ASD (Cannon et al., 2021; Lawson et al., 2014, 2017; Noel et al., 2022; Noel & Angelaki, 2023; Palmer et al., 2017; Pellicano & Burr, 2012; Sinha et al.,…”
BackgroundNeurocognitive mechanisms underlying autism spectrum disorders: a literature review
Liu, S., Zeng, D., Yi, C.-A., & Zhu, M. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1633658 · Cited by 11 · see citing works
Uncertainty-modulated prediction errors in cortical microcircuits
Wilmes, K. A., Petrovici, M. A., Sachidhanandam, S., & Senn, W. (2025) · eLife · doi:10.1101/2023.05.11.540393 · Cited by 10 · see citing works
Increased context adjustment is associated with auditory sensitivities but not with autistic traits
Randeniya, R., Mattingley, J. B., & Garrido, M. I. (2022) · Autism Research · doi:10.1002/aur.2759 · Cited by 11 · see citing works
“While this has not been shown previously using MMN specifically, evidence for intact priors in autism has been found for the visual (Croydon et al., 2017; Karvelis et al., 2018; Pell et al., 2016; Van de Cruys et al., 2018) and tactile (Cannon et al., 2021) modalities.”
MethodSapey-Triomphe, L.-A., Sanchez, G., Hénaff, M.-A., Sonié, S., Schmitz, C., & Mattout, J. (2023) · npj Science of Learning · doi:10.1038/s41539-023-00207-5 · Cited by 11 · see citing works
Bhamidimarri, P. M., Alhosani, K., Cai, H., Al-Ali, H., Abukhaled, Y. M., Tawamie, H., Abdelaziz, S., Fawaz, M., Kashir, J., Sajjad, Y., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107227 · Cited by 10 · see citing works
Empathy in autistic children: Emotional overarousal in response to others' physical pain
Li, T., Jean Decety, A., Hua, Z., Li, G., & Yi, L. (2024) · Autism Research · doi:10.1002/aur.3200 · Cited by 12 · see citing works
“A growing body of literature has adopted the framework of a different predictive process in autism and tried to explain various aspects of the autism phenotype (see Cannon et al., 2021 for a review).”
Salient omissions—pupil dilation in response to unexpected omissions of sound and touch
Dercksen, T., Widmann, A., & Wetzel, N. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1143931 · Cited by 10 · see citing works
Demler, V. F., Sterner, E., Wilson, M., Zimmer, C., & Knolle, F. (2023) · Scientific Reports · doi:10.1038/s41598-023-39881-1 · Cited by 9 · see citing works
A Developmental Social Neuroscience Perspective on Infant Autism Interventions
Dawson, G., Rieder, A. D., & Johnson, M. H. (2023) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-120621-042753 · Cited by 9 · see citing works
“Evidence supporting this model of autism is summarized by Palmer et al. (2017) and Cannon et al. (2021).”
A novel model of divergent predictive perception
Reeder, R., Sala, G., & van Leeuwen, T. V. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae006 · Cited by 10 · see citing works
“All these perceptual characteristics point to an altered role of prior information during predictions of sensory input in autistic perception (Cannon et al. 2021).”
BackgroundFattal, J., McAdams, D. P., & Mittal, V. A. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106037 · Cited by 9 · see citing works
Quantifying social skill deficits and strengths profiles in autistic youth
Gates, J. A., Gerber, A. S., Miller, C., & Lerner, M. D. (2022) · Child Development · doi:10.1111/cdev.13889 · Cited by 9 · see citing works
Multiple talker processing in autistic adult listeners
Alispahic, S., Pellicano, E., Cutler, A., & Antoniou, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-62429-w · Cited by 8 · see citing works
RDoC Framework Through the Lens of Predictive Processing: Focusing on Cognitive Systems Domain
Banaraki, A. K., Toghi, A., & Mohammadzadeh, A. (2024) · Computational Psychiatry · doi:10.5334/cpsy.119 · Cited by 9 · see citing works
“Systematic reviews that evaluate PP studies in mental health disorders mostly come with mixed results (Angeletos Chrysaitis & Seriès, 2023; Cannon et al., 2021).”
BackgroundSapey‐Triomphe, L., Bouet, R., Mattout, J., Sonié, S., Schmitz, C., & Lecaignard, F. (2025) · Autism Research · doi:10.1002/aur.70131 · Cited by 10 · see citing works
“Research has demonstrated that autistic individuals are capable of learning statistical regularities and are influenced by priors (Cannon et al. 2021; Angeletos Chrysaitis and Seriès 2023), challenging the simplistic hypo-prior hypothesis (Pellicano and Burr 2012).”
Cerebellar Structure and Function in Autism Spectrum Disorder
Bloomer, B. F., Morales, J. J., Bolbecker, A. R., Kim, D., & Hetrick, W. P. (2022) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20220003 · Cited by 10 · see citing works
“Social deficits in autistic individuals may arise due to difficulty in using past information to flexibly adjust social behavior and adapt to changing social situations [37], which can be interpreted as a failure to update internal models of one’s social world.”
BackgroundEmerson, A., & Costley, D. (2023) · Education Sciences · doi:10.3390/educsci13060575 · Cited by 8 · see citing works
Cacciato‐Salcedo, S., Lao-Rodríguez, A. B., & Malmierca, M. S. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003309 · Cited by 8 · see citing works
“The predictive coding theory of autism provides a unifying framework to explain core symptoms [3,8,9,11,22–28].”
Deep learning-based detection of autism spectrum disorder and emotion recognition in children
Akalya, T., Ramyachitra, D., Shabarna, M., & Legha, C. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.112906 · Cited by 7 · see citing works
Strategic decision making and prediction differences in autism
Mantas, V., Pehlivanidis, A., Papanikolaou, Κ., Kotoula, V., & Papageorgiou, C. (2022) · PeerJ · doi:10.7717/peerj.13328 · Cited by 6 · see citing works
Omori, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-89171-1 · Cited by 6 · see citing works
“Specifically, children with ASD find learning predictable cause-and-effect pairings more challenging than engaging in predictive processing of repetitive behaviors 9 .”
InfluentialThe Temporal Scaffolding of Sensory Organization
Sinha, P., Vogelsang, L., Vogelsang, M., Yonas, A., & DIAMOND, S. P. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-032525-040352 · Cited by 7 · see citing works
“Autistic individuals have also been shown to overestimate the volatility of the sensory environment (Lawson et al. 2017) and have been associated with difficulties in higher-order predictive processing across longer temporal intervals (Sinha et al. 2014a, Cannon et al. 2021).”
Self-citationProbabilistic Learning of Cue-Outcome Associations is not Influenced by Autistic Traits
Ong, J. H., & Liu, F. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05690-0 · Cited by 6 · see citing works
“1 3 that differential performance in prediction and learning associations among autistic and neurotypical individuals may be more readily observed under more implicit conditions (Cannon et al., 2021).”
BackgroundResultJohansson, A., Rudolfsson, T., Bäckström, A., Rönnqvist, L., von Hofsten, C., Rosander, K., & Domellöf, E. (2022) · Brain Sciences · doi:10.3390/brainsci12101307 · Cited by 6 · see citing works
“[22] suggests that social prediction differences in ASD could be the most notable expression of an underlying domain general predictive processing deviance.”
BackgroundDevelopmental change in predictive motor abilities
Park, S., Cardinaux, A. L., Crozier, D., Russo, M., Kjelgaard, M., Sinha, P., & Sternad, D. (2023) · iScience · doi:10.1016/j.isci.2023.106038 · Cited by 7 · see citing works
Self-citationDo we all synch alike? Brain–body-environment interactions in ASD
Beker, S., & Molholm, S. (2023) · Frontiers in Neural Circuits · doi:10.3389/fncir.2023.1275896 · Cited by 6 · see citing works
“…entrainment to rhythmic events involves alignment of the phases of slow oscillations with temporally predictable stimuli, such that these stimuli fall within an optimal phase of network excitability (Henry and Obleser, 2012; Cannon, 2021), often leading to improved perception and performance.”
BackgroundWord meaning is complex: Language-related generalization differences in autistic adults
Cuneo, N., Floyd, S., & Goldberg, A. E. (2024) · Cognition · doi:10.1016/j.cognition.2023.105691 · Cited by 6 · see citing works
“For example, autism has been claimed to be a prediction disorder (Sinha et al., 2014; Van de Cruys et al., 2014), although the evidence is mixed (Cannon, O ’ Brien, Bungert, & Sinha, 2021; Prescott et al., 2022).”
BackgroundChiappini, E., Massaccesi, C., Korb, S., Steyrl, D., Willeit, M., & Silani, G. (2024) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2024.04.006 · Cited by 7 · see citing works
Predictability modulates neural response to eye contact in ASD
Naples, A., Foss-Feig, J., Wolf, J., Srihari, V., & McPartland, J. (2022) · Molecular Autism · doi:10.1186/s13229-022-00519-0 · Cited by 6 · see citing works
Predictive Processing in Autism Spectrum Disorder: The Atypical Iterative Prior Updating Account
Shi, Z., Allenmark, F., Theisinger, L. A., Pistorius, R. L., Glasauer, S., Müller, H. J., & Falter‐Wagner, C. M. (2025) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2025.100468 · Cited by 5 · see citing works
Predictive coding in the primate brain: From visual to fronto-limbic systems
Ito, R., Amemori, S., & Amemori, K. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.104972 · Cited by 5 · see citing works
Do autistic children differ in language-mediated prediction?
Huettig, F., Voeten, C. C., Pascual, E., Liang, J., & Hintz, F. (2023) · Cognition · doi:10.1016/j.cognition.2023.105571 · Cited by 5 · see citing works
“Sinha and colleagues (Cannon et al., 2021; Sinha et al., 2014), for example, proposed that some typical phenotypes of autism, such as insistence on sameness, sensory hypersensitivities, difficulties interacting with dynamic objects, difficulties with theory of mind, and islands of proficiency…”
BackgroundSpontaneous instrumental approach-avoidance learning in social contexts in autism
Beaurenaut, M., Kovarski, K., Destais, C. A., Mennella, R., & Grèzes, J. (2024) · Molecular Autism · doi:10.1186/s13229-024-00610-8 · Cited by 5 · see citing works
“Evidence suggests that ASC individuals have difficulty extracting the statistical structure, i.e., the predictability, of environments that vary in terms of action opportunities and their consequences [44–48].”
Predictive processing of music and language in autism: Evidence from Mandarin and English speakers
Zhao, C., Ong, J. H., Veić, A., Patel, A. D., Jiang, C., Fogel, A. R., Wang, L., Hou, Q., Das, D., Crasto, C., et al. (2024) · Autism Research · doi:10.1002/aur.3133 · Cited by 7 · see citing works
“Regardless of domain, predictive processing involves learning the regularities between antecedents and conse-quents, and detecting and applying the learned associations to a similar situation (Cannon et al., 2021; Perruchet & Pacton, 2006).”
BackgroundResultInfluentialPark, S., Cardinaux, A. L., Crozier, D., Russo, M., Bond, S. F., Kjelgaard, M., Sinha, P., & Sternad, D. (2024) · Autism Research · doi:10.1002/aur.3246 · Cited by 5 · see citing works
“Predicting upcoming events is inherent to all domains of human behavior, from sensorimotor to cognitive to social (Cannon et al., 2021; Lawson et al., 2014; Pellicano & Burr, 2012; Sinha et al., 2014; Van de Cruys et al., 2014).”
Self-citationPrediction Impairment May Explain Communication Difficulties in Autism
Scholten, I., Hartman, C. A., & Hendriks, P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.734024 · Cited by 5 · see citing works
Robles, M., Ramos-Grille, I., Amaia Hervas, G., Duran‐Tauleria, E., Galiano-Landeira, J., Wormwood, J. B., Falter‐Wagner, C. M., & Chanes, L. (2024) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2024.100440 · Cited by 4 · see citing works
“Our findings are also consistent with recent predictive coding accounts of autism that suggest a privileged processing of prediction error in autistic individuals (for a recent review, see Cannon et al., 2021).”
BackgroundResultHou, W., Cheng, R., Zhao, Z., Liao, H., & Li, J. (2024) · Autism Research · doi:10.1002/aur.3194 · Cited by 4 · see citing works
“…learned antecedent-consequence pairings tend to be those with antecedents that have consistent, task-relevant predictive value during learning (Cannon et al., 2021), which emphasizes two critical prerequisites for acquiring proper priors: one is that the antecedent should be consistent and…”
The effect of volatility in linguistic input on prediction behavior in autistic toddlers
Prescott, K. E., Mathée‐Scott, J., Bolt, D. M., Saffran, J. R., & Weismer, S. E. (2024) · Autism Research · doi:10.1002/aur.3212 · Cited by 4 · see citing works
“Cannon et al. (2021) summarized the literature as follows: studies reporting similarities between autistic and NT groups were those in which antecedents had consistent predictive value relevant to the task and were temporally adjacent or overlapping with the consequence.”
BackgroundInfluentialWertheimer, O., & Hart, Y. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01800-6 · Cited by 4 · see citing works
“To this end, several computational models have been suggested: predictive impairment 26,32,33 suggests that ASD generates high prediction errors and this, in turn, hampers performance in dynamic environments and favors stability and repetition.”
MAPLE: A Novel Processing Technique for Adult Autism Prediction
Rajam, F. J., & Swakkin, B. R. K. (2025) · Engineering Technology & Applied Science Research · doi:10.48084/etasr.10864 · Cited by 4 · see citing works
Not Just Noise: Impaired Oscillatory Entrainment Reflects Reduced Temporal Flexibility in AutismPreprint
Beker, S., Vanneau, T., Akinyemi, E., Foxe, J. J., & Molholm, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.02.662876 · Cited by 4 · see citing works
“Studies from recent years show reduced adaptation to changes in the environment, and more specifically, compromised tempo-keeping and reduced synchronization to rhythmic stimuli (Lieder et al. , 2019; Cannon et al. , 2021; Vishne et al. , 2021; Kasten et al. , 2023) (but see (Cannon et al. , 2023)).”
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
“…predictive impairments to underlie autism spectrum disorder (ASD), many of which were based on the Bayesian Brain framework ( Brock, 2012; for a review see Cannon et al., 2021; K. J. Friston et al., 2013; Lawson et al., 2014; Pellicano & Burr, 2012; Sinha et al., 2014; van de Cruys et al., 2014).”
Rethinking Predictive Processing
Furutachi, S., & Hofer, S. B. (2026) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-102124-031410 · Cited by 3 · see citing works
Predictive Processing During Cue-Outcome Associative Learning in Autistic Children
Papastamou, F., Dumont, C., Destrebecqz, A., & Kissine, M. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06448-6 · Cited by 3 · see citing works
“It has been suggested that this precision imbalance results in more frequent prior updates in autistic individuals, as compared to their non-autistic peers. population (Pesthy et al., 2023; Rybicki et al., 2021; for reviews see Cannon et al., 2021; Chrysaitis & Seriès, 2023).”
Action execution and observation in autistic adults: A systematic review of fMRI studies
Stillesjö, S., Hjärtström, H., Johansson, A., Rudolfsson, T., Säfström, D., & Domellöf, E. (2024) · Autism Research · doi:10.1002/aur.3291 · Cited by 3 · see citing works
Zhang, Z., Hu, K., Shi, Y.-C., & Zhou, H. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104666 · Cited by 3 · see citing works
Predictive coding in psychopathology: mechanistic model or metaphorical re-description?
Alotaibi, A. S. (2026) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1743028 · Cited by 3 · see citing works
Polavarapu, B. L., Reddy, V. D., Morampudi, M. K., & Abdul, A. (2026) · Evolutionary Intelligence · doi:10.1007/s12065-026-01166-7 · Cited by 3 · see citing works
O’Brien, A. M., May, T. A., Koskey, K. L. K., Bungert, L., Cardinaux, A. L., Cannon, J. J., Treves, I. N., D’Mello, A. M., Joseph, R. M., Li, C. E., et al. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06379-2 · Cited by 3 · see citing works
“Indeed, reviews of prediction-related tasks in the field of autism (Cannon et al., 2021; Merchie & Gomot, 2023) show a trend of testing a single behavioral or neural measure, as opposed to multiple measures that together may better reflect the multifaceted phenomenon of prediction.”
InfluentialSelf-citationBettoni, R., Cantiani, C., Riboldi, E. M., Molteni, M., Bulf, H., & Riva, V. (2024) · PLoS ONE · doi:10.1371/journal.pone.0300274 · Cited by 3 · see citing works
Marzi, C., Narzisi, A., Milone, A., Masi, G., & Pirrelli, V. (2022) · Brain Sciences · doi:10.3390/brainsci12101316 · Cited by 3 · see citing works
“Atypicality in perception has been suggested to be a key feature of ASD as a consequence of a reduced integration of experience [46,47]: this makes it more difficult to use knowledge derived from the past to generate predictions about the occurrence of new events [48].”
BackgroundMedeiros, T. D. S. P., da Silva, N. K. N., Silva, T. B. D. V., de Medeiros, L. S., Nascimento, M. H. M., & Pamplona, M. C. D. C. A. (2023) · Revista Eletrônica Acervo Saúde · doi:10.25248/reas.e11874.2023 · Cited by 3 · see citing works
Joint intention understanding in children with autism spectrum disorder
Hou, W., Li, X., Yang, Y., & Li, J. (2023) · Autism Research · doi:10.1002/aur.2964 · Cited by 3 · see citing works
Autistic and nonautistic adolescents do not differ in adaptation to gaze direction
Ward, E. K., Buitelaar, J. K., & Hunnius, S. (2024) · Autism Research · doi:10.1002/aur.3118 · Cited by 3 · see citing works
“Similar refinements of the predictive processing account of autism appear to be necessary for the framework to account for the empirical data, and the necessary synthesis of the empirical evidence so far has recently begun (Angeletos Chrysaitis & Seriès, 2022; Cannon et al., 2021).”
MethodResultChouinard, B., Pesquita, A., Enns, J. T., & Chapman, C. S. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108880 · Cited by 3 · see citing works
Cardon, G. J., Tindall, K., & Rojas, D. C. (2024) · Research in Autism · doi:10.1016/j.reia.2025.202618 · Cited by 3 · see citing works
Linguistic Prediction in Autism Spectrum Disorder
O’Shea, A., & Engelhardt, P. E. (2025) · Brain Sciences · doi:10.3390/brainsci15020175 · Cited by 2 · see citing works
“There is a large body of evidence exploring the predictive coding errors of individuals on the autism spectrum, across experimental paradigms and modalities, including spontaneous gaze [8,9], emotion prediction [10], auditory prediction [11], and social expectations [12] (for a review, see [13]).”
Temporal attention and oculomotor effects dissociate distinct types of temporal expectation
Duyar, A., & Carrasco, M. (2025) · Journal of Vision · doi:10.1167/jov.25.10.3 · Cited by 2 · see citing works
Cruz, T. K. F., Netto, R. D. C. P., Costa, F. R. M., Cota, E. B., Nascimento, A. A. A. C., Barreto, S. R., & Souto, D. O. (2026) · Frontiers in Pediatrics · doi:10.3389/fped.2026.1804826 · Cited by 2 · see citing works
“In the case of ASD, there is consistent evidence that children and adolescents experience difficulties integrating sensory, motor, and social cues, which compromises their ability to form stable predictions about the environment and to update those predictions efficiently (15, 16).”
Experiences with licensing by autistic drivers: An exploratory study
Dirix, H., Brijs, K., Huysmans, E., Neven, A., Brijs, T., Jongen, E. M. M., Alhajyaseen, W., Wets, G., & Ross, V. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.03.044 · Cited by 2 · see citing works
Autistic traits in neurotypical adults are related to impaired perceptual–motor coordination
Kikuchi, K., & Higuchi, T. (2024) · Discover Psychology · doi:10.1007/s44202-024-00157-y · Cited by 2 · see citing works
“A previous review study suggested that individuals with ASD exhibit decreased neural activity and behavioral habituation to stimulus repetition as compared to neurotypical individuals [47, 48].”
Prediction by Young Autistic Children from Visual and Spoken Input
Mathée‐Scott, J., Prescott, K. E., Pomper, R., Saffran, J. R., & Weismer, S. E. (2024) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-024-06568-z · Cited by 2 · see citing works
“Importantly, however, this may be contradictory to the domain-generality of prediction-based theories of ASD (see Cannon et al., 2021).”
BackgroundResultLinking Subclinical Autistic Traits and Perceptual Category Learning
Warren, C. V., Baumert, R., Diermann, K., Schöttle, D., & Bayer, J. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70000 · Cited by 2 · see citing works
Ma, S., He, X., Xu, X., He, H., Shi, W., & Zhao, X. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104556 · Cited by 2 · see citing works
Kareem, S., & Kadhim, Z. M. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns2.6033 · Cited by 2 · see citing works
- Authors
- Cannon, J., O'Brien, A. M., Bungert, L., & Sinha, P.
- Affiliations
- Massachusetts Institute of Technology (US)
- Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge Massachusetts USA
- Venue
- Autism Research
- Publisher
- Wiley
- Published
- 2021-02-11
- Volume
- 14
- Issue
- 4
- Pages
- 604-630
- ISSN
- 1939-3792 (ISSN-L)
- 1939-3806
- PMC
- PMC8043993
- OpenAlex
- W3127385572
- Cited by
- 168
- References
- 103
- Citations by year
- 2026: 31 · 2025: 39 · 2024: 37 · 2023: 32 · 2022: 22 · 2021: 7
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Autism Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- Massachusetts Institute of Technology
- Simons Foundation Autism Research Initiative
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- autism spectrum disorder, prediction, predictive learning, habituation, perceptual adaptation, predictive processing, social forecasting
- MeSH terms
- Autism Spectrum Disorder, Autistic Disorder, Brain, Humans, Learning, Motivation
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