Prediction and mismatch negativity responses reflect impairments in action semantic processing in adults with autism spectrum disorders
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The neurophysiological mechanisms underlying motor and language difficulties in autism spectrum disorders (ASD) are still largely unclear. The present work investigates biological indicators of sound processing, (action-) semantic understanding and predictive coding and their correlation with clinical symptoms of ASD. Twenty-two adults with high-functioning ASD and 25 typically developed (TD) participants engaged in an auditory, passive listening, Mismatch Negativity (MMN) task while high-density electroencephalography (EEG) was recorded. Action and non-action words were presented in the context of sounds, which were either semantically congruent with regard to the body part they relate to or semantically incongruent or unrelated. The anticipatory activity before sound onset, the Prediction Potential (PP), was significantly reduced in the ASD group specifically for action, but not for non-action sounds. The early-MMN-like responses to words (latency: 120 ms) were differentially modulated across groups: controls showed larger amplitudes for words in action-sound compared to non-action contexts, whereas ASD participants demonstrated enlarged early-MMN-like responses only in a pure tone context, with no other modulation dependent on action sound context. Late-MMN-like responses around 560 ms post-stimulus onset revealed body-part-congruent action-semantic priming for words in control participants, but not in the ASD group. Importantly, neurophysiological indices of semantic priming in ASD participants correlated with the extent of autistic traits as revealed by the Autism Spectrum Quotient (AQ). The data suggest that high-functioning adults with ASD show a specific deficit in semantic processing and predictive coding of sounds and words related to action, which is absent for neutral, non-action, sounds.
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In autism spectrum disorder, expected events did not attenuate the N1 and N4 components.
“In addition, expected events did not attenuate the N1 (van Laarhoven et al., 2019) and N4 (Grisoni et al., 2019) components”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Grisoni et al., 2019
The Discussion reports that typically developing controls, but not ASD participants, showed a reduction of the late-MMN-like (N400-like) response for a semantically congruent action word. This supports the N4 portion attributed to Grisoni et al., but the finding concerns a specific sound–word congruency condition in high-functioning adults, not expected events generally. The N1 portion is attributed to a different citation. (LLM, conf=0.85)
Experimental — accuracy not yet measuredIndividuals with autism spectrum disorder have alterations in anticipatory brain activity.
“EEG studies reported that individuals with ASD have alterations in anticipatory brain activity, that is the brain ' s preparation to respond to future events (Grisoni et al., 2019).”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Grisoni et al., 2019
The Discussion reports reduced anticipatory brain activity in high-functioning autistic adults, but specifically when they expected action sounds. It also says the groups showed similar anticipatory signals for pure tones, so the unqualified claim is broader than the finding. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIn autism spectrum disorder, anticipatory brain activity is less elicited by action and semantic sounds and more by pure tones compared to healthy controls.
“and their anticipatory brain activity is less elicited by action and semantic sounds and more by pure tones compared to HC (Grisoni et al., 2019).”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Grisoni et al., 2019
The Results section on pre-stimulus anticipatory activity reports reduced anticipation of action sounds in adults with ASD compared with controls. It also says the groups had similar anticipatory responses to pure tones: the larger response to pure tones was relative to action sounds within the ASD group, not greater than in controls. The paper examines semantic processing of words, rather than a separate category of ‘semantic sounds.’ (LLM, conf=0.89)
Experimental — accuracy not yet measuredAdults diagnosed with ASD present deficits in predictive coding of sounds and words in action-sound context, with no deficits in predictive coding for neutral, non-action, and sounds.
“Adults diagnosed with ASD present deficits in predictive coding of sounds and words in action–sound context, with no deficits in predictive coding for neutral, non-action, and sounds (Grisoni et al. 2019; Laarhoven et al. 2020).”
From Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing (2023) · cites this paper as Grisoni et al. 2019
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005653411471 · Cited by 6,450 · cited 1× · see citing works
“To measure the presence and number of clinical symptoms associated with ASD, both groups completed the Autism-Spectrum Quotient (AQ) questionnaire (Baron-Cohen et al., 2001).”
MethodBarsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936 · cited 2× · see citing works
“This view is supported by an increasing agreement that higher cognitive processes, such as language and conceptual thought, are rooted in the functional interaction between the brain’s motor and sensory-perceptual system (Barsalou, 2008; Fischer and Zwaan, 2008; Pulvermüller and Fadiga, 2010; Pulvermüller et al., 2014…”
BackgroundOn Methods in the Analysis of Profile Data
Greenhouse, S. W., & Geisser, S. (1959) · Psychometrika · doi:10.1007/bf02289823 · Cited by 4,946 · 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
The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations
Rizzolatti, G., & Sinigaglia, C. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2805 · Cited by 1,680 · see citing works
Imitation, empathy, and mirror neurons
Iacoboni, M. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163604 · Cited by 1,606 · see citing works
Eta-squared and partial eta-squared in fixed factor anova designs
Cohen, J. (1973) · Educational and Psychological Measurement · doi:10.1177/001316447303300111 · Cited by 1,333 · see citing works
Motor coordination in autism spectrum disorders: A synthesis and meta-analysis
Fournier, K. A., Hass, C. J., Naik, S. K., Lodha, N., & Cauraugh, J. H. (2010) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-010-0981-3 · Cited by 1,271 · 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
Predictive coding: an account of the mirror neuron system
Kilner, J. M., Friston, K. J., & Frith, C. D. (2007) · Cognitive Processing · doi:10.1007/s10339-007-0170-2 · Cited by 1,134 · see citing works
Active perception: sensorimotor circuits as a cortical basis for language
Friedemann Pulvermüller, A., & Fadiga, L. (2010) · Nature reviews. Neuroscience · doi:10.1038/nrn2811 · Cited by 1,043 · see citing works
Embodied Language: A Review of the Role of the Motor System in Language Comprehension
Fischer, M. H., & Zwaan, R. A. (2008) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210701623605 · Cited by 994 · 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
Autism: The Empathizing–Systemizing (E‐S) Theory
Baron‐Cohen, S. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04467.x · Cited by 830 · see citing works
Deecke, L., Scheid, P., & Kornhuber, H. (1969) · Experimental Brain Research · doi:10.1007/bf00235441 · Cited by 748 · 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 2× · see citing works
“Perceptual-motor-sensory, and social difficulties in ASD have been explained on the basis of compromised adaptation due to lack of predictability of environmental stimuli (Baron-Cohen, 2009; Pellicano and Burr, 2012; Sinha et al., 2014).”
BackgroundMethodKuhl, P. K., Coffey‐Corina, S., Padden, D., & Dawson, G. (2005) · Developmental Science · doi:10.1111/j.1467-7687.2004.00384.x · Cited by 512 · 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
Update on the language disorders of individuals on the autistic spectrum
Rapin, I., & Dunn, M. (2003) · Brain and Development · doi:10.1016/s0387-7604(02)00191-2 · Cited by 492 · see citing works
Näätänen, R., Kujala, T., Escera, C., Baldeweg, T., Kreegipuu, K., Carlson, S., & Ponton, C. W. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.09.020 · Cited by 426 · see citing works
Motor activation prior to observation of a predicted movement
Kilner, J. M., Vargas, C., Duval, S., Blakemore, S.-J., & Sirigu, A. (2004) · Nature Neuroscience · doi:10.1038/nn1355 · Cited by 406 · see citing works
Friedemann Pulvermüller, A., & Юрьевич, Ш. Ю. (2006) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2006.04.004 · Cited by 397 · see citing works
Mirror neurons: from discovery to autism
Rizzolatti, G., & Fabbri‐Destro, M. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-2002-3 · Cited by 323 · see citing works
The discrimination of and orienting to speech and non-speech sounds in children with autism
Lepistö, T., Kujala, T., Vanhala, R., Alku, P., Huotilainen, M., & Näätänen, R. (2005) · Brain Research · doi:10.1016/j.brainres.2005.10.052 · Cited by 320 · see citing works
Memory Traces for Words as Revealed by the Mismatch Negativity
Friedemann Pulvermüller, A., Kujala, T., Юрьевич, Ш. Ю., Simola, J., Tiitinen, H., Alku, P., Alho, K., Martinkauppi, S., Ilmoniemi, R. J., & Näätänen, R. (2001) · NeuroImage · doi:10.1006/nimg.2001.0864 · Cited by 312 · see citing works
Neural reuse of action perception circuits for language, concepts and communication
Friedemann Pulvermüller, A. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.07.001 · Cited by 288 · see citing works
Friedemann Pulvermüller, A., Юрьевич, Ш. Ю., & Hauk, O. (2009) · Brain and Language · doi:10.1016/j.bandl.2008.12.001 · Cited by 286 · see citing works
Gomot, M., Giard, M., Adrien, J., Barthélémy, C., & Bruneau, N. (2002) · Psychophysiology · doi:10.1111/1469-8986.3950577 · Cited by 262 · see citing works
Mismatch Negativity (MMN) as an Index of Cognitive Dysfunction
Näätänen, R., Sussman, E. S., Salisbury, D. F., & Shafer, V. L. (2014) · Brain Topography · doi:10.1007/s10548-014-0374-6 · Cited by 223 · see citing works
Measurement and interpretation of the mismatch negativity
Schröger, E. (1998) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03209423 · Cited by 209 · see citing works
Юрьевич, Ш. Ю., Butorina, A. V., Nikolaeva, A. Y., & Stroganova, T. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323158111 · Cited by 200 · see citing works
Ultra-rapid access to words in the brain
MacGregor, L. J., Friedemann Pulvermüller, A., van Casteren, M., & Юрьевич, Ш. Ю. (2012) · Nature Communications · doi:10.1038/ncomms1715 · Cited by 192 · see citing works
Юрьевич, Ш. Ю., Hauk, O., & Friedemann Pulvermüller, A. (2004) · European Journal of Neuroscience · doi:10.1111/j.0953-816x.2004.03126.x · Cited by 185 · see citing works
Altered Connectivity and Action Model Formation in Autism Is Autism
Mostofsky, S. H., & Ewen, J. B. (2011) · The Neuroscientist · doi:10.1177/1073858410392381 · Cited by 164 · see citing works
Motor Skills and Calibrated Autism Severity in Young Children With Autism Spectrum Disorder
MacDonald, M., Lord, C., & Ulrich, D. A. (2014) · Adapted Physical Activity Quarterly · doi:10.1123/apaq.2013-0068 · Cited by 161 · see citing works
Jansson-Verkasalo, E. M., Čėponiené, R., Kielinen, M., Suominen, K., Jäntti, V., Linna, S., Moilanen, I. K., & Näätänen, R. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(02)01405-2 · Cited by 139 · see citing works
The perception of invariant speech features in children with autism
Lepistö, T., Kajander, M., Vanhala, R., Alku, P., Huotilainen, M., Näätänen, R., & Kujala, T. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2007.08.010 · Cited by 118 · see citing works
The neural basis of aberrant speech and audition in autism spectrum disorders
Kujala, T., Lepistö, T., & Näätänen, R. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.006 · Cited by 117 · see citing works
Motor cognition–motor semantics: Action perception theory of cognition and communication
Friedemann Pulvermüller, A., Moseley, R. L., Egorova, N., Shebani, Z., & Véronique Boulenger, A. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.12.002 · Cited by 106 · see citing works
Self-citationTracking speech comprehension in space and time
Pulvermüller, F., Shtyrov, Y. Y., Ilmoniemi, R. J., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.030 · Cited by 103 · see citing works
Self-citationThompson, A., Murphy, D., Dell’Acqua, F., Ecker, C., McAlonan, G. M., Howells, H., Baron‐Cohen, S., Lai, M., & Lombardo, M. V. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.06.020 · Cited by 94 · see citing works
Neural Correlates of Semantic Prediction and Resolution in Sentence Processing
Grisoni, L., Miller, T. M., & Pulvermüller, F. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2800-16.2017 · Cited by 91 · see citing works
Self-citationMoseley, R. L., & Friedemann Pulvermüller, A. (2017) · Cortex · doi:10.1016/j.cortex.2017.11.019 · Cited by 77 · see citing works
Self-citationSchmidt, L., Kirchner, J. C., Strunz, S., Broźus, J., Ritter, K., Roepke, S., & Dziobek, I. (2015) · Journal of Clinical Psychology · doi:10.1002/jclp.22225 · Cited by 76 · see citing works
Self-citationSomatotopic Semantic Priming and Prediction in the Motor System
Grisoni, L., Dreyer, F., & Pulvermüller, F. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw026 · Cited by 76 · see citing works
Self-citationLudlow, A., Mohr, B., Whitmore, A., Garagnani, M., Friedemann Pulvermüller, A., & Gutierrez, R. G. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.01.016 · Cited by 72 · see citing works
Self-citationMoseley, R. L., Юрьевич, Ш. Ю., Mohr, B., Lombardo, M. V., Baron‐Cohen, S., & Friedemann Pulvermüller, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.046 · Cited by 66 · see citing works
Self-citationBrain and behavioral correlates of action semantic deficits in autism
Moseley, R. L., Mohr, B., Lombardo, M. V., Baron‐Cohen, S., Hauk, O., & Friedemann Pulvermüller, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00725 · Cited by 50 · see citing works
Self-citationShtyrov, Y. Y., Goryainova, G., Tugin, S., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00421 · Cited by 36 · see citing works
Grisoni, L., Mohr, B., & Friedemann Pulvermüller, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.071 · Cited by 33 · see citing works
Self-citationSparaci, L., Stefanini, S., D’Elia, L., Vicari, S., & Rizzolatti, G. (2014) · Autism Research · doi:10.1002/aur.1370 · Cited by 30 · see citing works
Brain Routes for Reading in Adults with and without Autism: EMEG Evidence
Moseley, R. L., Friedemann Pulvermüller, A., Mohr, B., Lombardo, M. V., Baron‐Cohen, S., & Юрьевич, Ш. Ю. (2013) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-013-1858-z · Cited by 20 · see citing works
Self-citationThe effect of stimulus context on the buildup to stream segregation
Sussman-Fort, J., & Sussman, E. S. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00093 · Cited by 14 · see citing works
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Qela, B., Damiani, S., De Santis, S., Groppi, F., Pichiecchio, A., Asteggiano, C., Brondino, N., Monteleone, A. M., Grassi, L., Politi, P., et al. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106020 · Cited by 26 · see citing works
“EEG studies reported that individuals with ASD have alterations in anticipatory brain activity, that is the brain ’ s preparation to respond to future events (Grisoni et al., 2019).”
Influential
- Authors
- Grisoni, L., Moseley, R. L., Motlagh, S., Kandia, D., Sener, N., Pulvermüller, F., Roepke, S., & Mohr, B.
- Affiliations
- Freie Universität Berlin (DE)
- Bournemouth University (GB)
- Humboldt-Universität zu Berlin (DE)
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
- Stiftung Charité (DE)
- Corresponding author
- Grisoni, Luigi
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2019-11-14
- Volume
- 13
- Pages
- 395-395
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC6868096
- OpenAlex
- W2986474272
- Cited by
- 21
- References
- 56
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 2
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Bournemouth University Research Online (Bournemouth University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Deutsche Forschungsgemeinschaft (Pu 97/22‐1, PU 97/25-1)
- Agence Nationale de la Recherche
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- autism spectrum disorder, mismatch negativity, action semantics, semantic processing, predictive coding, semantic priming, auditory word processing, autistic traits, Autism Spectrum Quotient, high-functioning adults
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