Reduced Auditory Mismatch Negativity Reflects Impaired Deviance Detection in Schizophrenia
Open accessAbstract
The auditory mismatch negativity (MMN) is a translatable electroencephalographic biomarker automatically evoked in response to unattended sounds that is robustly associated with cognitive and psychosocial disability in patients with schizophrenia. Although recent animal studies have tried to clarify the neural substrates of the MMN, the nature of schizophrenia-related deficits is unknown. In this study, we applied a novel paradigm developed from translational animal model studies to carefully deconstruct the constituent neurophysiological processes underlying MMN generation. Patients with schizophrenia (N = 25) and healthy comparison subjects (HCS; N = 27) underwent MMN testing using both a conventional auditory oddball paradigm and a "many-standards paradigm" that was specifically developed to deconstruct the subcomponent adaptation and deviance detection processes that are presumed to underlie the MMN. Using a conventional oddball paradigm, patients with schizophrenia exhibited large effect size deficits of both duration and frequency MMN, consistent with many previous studies. Furthermore, patients with schizophrenia showed selective impairments in deviance detection but no impairment in adaptation to repeated tones. These findings support the use of the many-standards paradigm for deconstructing the constituent processes underlying the MMN, with implications for the use of these translational measures to accelerate the development of new treatments that target perceptual and cognitive impairments in schizophrenia and related disorders.
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Several studies have developed new paradigms to investigate whether reduced MMN amplitudes reflect altered predictive coding in schizophrenia.
“Furthermore, several studies have developed new paradigms to investigate whether reduced MMN amplitudes reflect altered predictive coding in schizophrenia (25–27).”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [25]
Patients with schizophrenia showed impairments in deviance detection but not in adaptation.
“Patients with schizophrenia showed impairments in deviance detection but not in adaptation.”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [25]
Patients with schizophrenia showed significant impairments in deviance detection in dMMN but not in fMMN.
“Patients with schizophrenia showed significant impairments in deviance detection in dMMN but not in fMMN.”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [25]
Both adaptation and deviance detection affected MMN.
“They found that both adaptation and deviance detection affected MMN.”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [25]
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Cites
Krystal, J. H. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950030035004 · Cited by 3,330 · see citing works
Processing of low-probability sounds by cortical neurons
Ulanovsky, N., Las, L., & Nelken, I. (2003) · Nature Neuroscience · doi:10.1038/nn1032 · Cited by 1,049 · see citing works
Mismatch negativity in schizophrenia: a meta-analysis
Umbricht, D., & Krljes, S. (2005) · Schizophrenia Research · doi:10.1016/j.schres.2004.12.002 · Cited by 742 · see citing works
Javitt, D. C., Steinschneider, M., Schroeder, C. E., & Arezzo, J. C. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.21.11962 · Cited by 662 · see citing works
Ketamine-Induced Deficits in Auditory and Visual Context-Dependent Processing in Healthy Volunteers
Umbricht, D., Schmid, L., Koller, R., Vollenweider, F. X., Hell, D., & Javitt, D. C. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.12.1139 · Cited by 583 · see citing works
Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained
May, P. J. C., & Tiitinen, H. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00856.x · Cited by 549 · see citing works
A neuronal model of predictive coding accounting for the mismatch negativity.
Wacongne, C., Changeux, J.-P., & Dehaene, S. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.5003-11.2012 · Cited by 542 · see citing works
Erickson, M. A., Ruffle, A., & Gold, J. M. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.08.025 · Cited by 426 · see citing works
Mismatch negativity: An index of a preattentive processing deficit in schizophrenia
Shelley, A. M., Ward, P. B., Catts, S. V., Michie, P. T., Andrews, S., & McConaghy, N. (1991) · Biological Psychiatry · doi:10.1016/0006-3223(91)90126-7 · Cited by 411 · see citing works
Auditory dysfunction in schizophrenia: integrating clinical and basic features
Javitt, D. C., & Sweet, R. A. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4002 · Cited by 363 · 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
Is there pre‐attentive memory‐based comparison of pitch?
Jacobsen, T., & Schröger, E. (2001) · Psychophysiology · doi:10.1111/1469-8986.3840723 · Cited by 301 · see citing works
Measuring duration mismatch negativity
Jacobsen, T., & Schröger, E. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00043-9 · Cited by 238 · see citing works
Carbajal, G. V., & Malmierca, M. S. (2018) · Trends in Hearing · doi:10.1177/2331216518784822 · Cited by 228 · see citing works
Thomas, M. L., Green, M. F., Hellemann, G., Sugar, C. A., Tarasenko, M., Calkins, M. E., Greenwood, T. A., Gur, R. E., Gur, R. C., Lazzeroni, L. C., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.2980 · Cited by 206 · see citing works
Light, G. A., Swerdlow, N. R., Thomas, M. L., Calkins, M. E., Green, M. F., Greenwood, T. A., Gur, R. E., Gur, R. C., Lazzeroni, L. C., Nuechterlein, K. H., et al. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.042 · Cited by 196 · see citing works
Farley, B. J., Quirk, M. C., Doherty, J. J., & Christian, E. P. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2793-10.2010 · Cited by 183 · see citing works
Nonhuman primate model of schizophrenia using a noninvasive EEG method
Gil-da-Costa, R., Stoner, G. R., Fung, R., & Albright, T. D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312264110 · Cited by 182 · see citing works
Fishman, Y. I., & Steinschneider, M. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2835-12.2012 · Cited by 174 · see citing works
Somatostatin Interneurons Control a Key Component of Mismatch Negativity in Mouse Visual Cortex
Hamm, J. P., & Yuste, R. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.037 · Cited by 165 · see citing works
Maeß, B., Jacobsen, T., Schröger, E., & Friederici, A. D. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.040 · Cited by 145 · see citing works
Mismatch negativity is a breakthrough biomarker for understanding and treating psychotic disorders
Light, G. A., & Näätänen, R. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313287110 · Cited by 144 · see citing works
Chen, I.-W., Helmchen, F., & Lütcke, H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2240-15.2015 · Cited by 142 · see citing works
Mismatch Negativity (MMN) in Freely-Moving Rats with Several Experimental Controls
Harms, L. R., Fulham, W. R., Todd, J., Budd, T. W., Hunter, M., Meehan, C. L., Penttonen, M., Schall, U., Zavitsanou, K., Hodgson, D. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110892 · Cited by 104 · see citing works
Rissling, A. J., Miyakoshi, M., Sugar, C. A., BRAFF, D. L., Makeig, S., & Light, G. A. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.09.006 · Cited by 99 · see citing works
Rowland, L. M., Summerfelt, A. T., Wijtenburg, S. A., Du, X. M., Chiappelli, J., Krishna, N., West, J., Muellerklein, F., Kochunov, P. V., & Hong, L. E. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2680 · Cited by 96 · see citing works
Glutamatergic Modulation of Auditory Information Processing in the Human Brain
Gunduz-Bruce, H., Reinhart, R. M. G., Roach, B. J., Gueorguieva, R., Oliver, S., D'Souza, D. C., Ford, J. M., Krystal, J. H., & Mathalon, D. H. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.031 · Cited by 93 · see citing works
Nakamura, T., Michie, P. T., Fulham, W. R., Todd, J., Budd, T. W., Schall, U., Hunter, M., & Hodgson, D. M. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00367 · Cited by 90 · see citing works
Meta-analysis of mismatch negativity to simple versus complex deviants in schizophrenia
Avissar, M., Xie, S., Vail, B., López‐Calderón, J., Wang, Y., & Javitt, D. C. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.07.009 · Cited by 81 · see citing works
Lee, M., Balla, A., Sershen, H. W., Sehatpour, P., Lakatos, P., & Javitt, D. C. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.176 · Cited by 78 · see citing works
Criteria for determining whether mismatch responses exist in animal models: Focus on rodents
Harms, L. R., Michie, P. T., & Näätänen, R. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.07.006 · Cited by 74 · see citing works
Nagai, T., Kirihara, K., Tada, M., Koshiyama, D., Koike, S., Suga, M., Araki, T., Hashimoto, K., & Kasai, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-02267-1 · Cited by 61 · see citing works
Self-citationMismatch negativity in preclinical models of schizophrenia
Featherstone, R. E., Melnychenko, O., & Siegel, S. J. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.07.039 · Cited by 59 · see citing works
The neurobiology of MMN and implications for schizophrenia
Michie, P. T., Malmierca, M. S., Harms, L. R., & Todd, J. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.01.011 · Cited by 52 · see citing works
Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., Fujioka, M., Koike, S., Suga, M., Araki, T., & Kasai, K. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.09.045 · Cited by 50 · see citing works
Self-citationIshishita, Y., Kunii, N., Shimada, S., Ibayashi, K., Tada, M., Kirihara, K., Kawai, K., Uka, T., Kasai, K., & Saito, N. (2018) · Human Brain Mapping · doi:10.1002/hbm.24438 · Cited by 50 · see citing works
Self-citationNR2B Antagonist CP-101,606 Abolishes Pitch-Mediated Deviance Detection in Awake Rats
Sivarao, D. V., Chen, P., Yang, Y., Li, Y.-W., Pieschl, R. L., & Ahlijanian, M. K. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00096 · Cited by 49 · see citing works
Kim, M., Kim, S. N., Lee, S., Byun, M. S., Shin, K. S., Park, H. Y., Jang, J. H., & Kwon, J. S. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.02.012 · Cited by 46 · see citing works
Harms, L., Fulham, W. R., Todd, J., Meehan, C., Schall, U., Hodgson, D. M., & Michie, P. T. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2017.03.042 · Cited by 40 · see citing works
McCleery, A., Mathalon, D. H., Wynn, J. K., Roach, B. J., Hellemann, G. S., Marder, S. R., & Green, M. F. (2019) · Psychological Medicine · doi:10.1017/s0033291718004087 · Cited by 35 · see citing works
Impairment in Mismatch Negativity but not Repetition Suppression in Schizophrenia
Coffman, B. A., Haigh, S. M., Murphy, T. K., & Salisbury, D. F. (2017) · Brain Topography · doi:10.1007/s10548-017-0571-1 · Cited by 30 · see citing works
de la Salle, S., Shah, D. K., Choueiry, J., Bowers, H., McIntosh, J. F., Ilivitsky, V., & Knott, V. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00455 · Cited by 29 · see citing works
Hallucinations, neuroplasticity, and prediction errors in schizophrenia
McCleery, A., Wynn, J. K., & Green, M. F. (2018) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12413 · Cited by 25 · see citing works
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Sorted by citations
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
Koshiyama, D., Thomas, M. L., Miyakoshi, M., Joshi, Y. B., Molina, J. L., Tanaka‐Koshiyama, K., Sprock, J., BRAFF, D. L., Swerdlow, N. R., & Light, G. A. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa116 · Cited by 68 · see citing works
Self-citationCortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents
Ross, J. M., & Hamm, J. P. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00013 · Cited by 60 · see citing works
A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia
Kirihara, K., Tada, M., Koshiyama, D., Fujioka, M., Usui, K., Araki, T., & Kasai, K. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00660 · Cited by 51 · see citing works
“For example, Koshiyama and colleagues investigated both duration-deviant MMN (dMMN) and frequency-deviant MMN (fMMN) to disentangle MMN into adaptation and deviance detection (25).”
BackgroundSelf-citationAuditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders
Fong, C. Y., Law, W. H. C., Uka, T., & Koike, S. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.557932 · Cited by 44 · see citing works
Koshiyama, D., Miyakoshi, M., Thomas, M. L., Joshi, Y. B., Molina, J. L., Tanaka‐Koshiyama, K., Sprock, J., BRAFF, D. L., Swerdlow, N. R., & Light, G. A. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2020.12.042 · Cited by 38 · see citing works
Self-citationMerchie, A., & Gomot, M. (2023) · Brain Sciences · doi:10.3390/brainsci13071110 · Cited by 37 · see citing works
EEG, MEG and neuromodulatory approaches to explore cognition: Current status and future directions
Beppi, C., Violante, I. R., Scott, G., & Sandrone, S. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2020.105677 · Cited by 31 · see citing works
Abnormal Effective Connectivity Underlying Auditory Mismatch Negativity Impairments in Schizophrenia
Koshiyama, D., Miyakoshi, M., Joshi, Y. B., Molina, J. L., Tanaka‐Koshiyama, K., Sprock, J., BRAFF, D. L., Swerdlow, N. R., & Light, G. A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.05.011 · Cited by 28 · see citing works
Self-citationQu, X., Liukasemsarn, S., Tu, J., Higgins, A., Hickey, T. J., & Hall, M. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.541659 · Cited by 25 · see citing works
Biró, A., Cuesta‐Vargas, A., & Szilágyi, L. S. (2023) · Acta Universitatis Sapientiae Informatica · doi:10.2478/ausi-2023-0022 · Cited by 22 · see citing works
A Critical Review of the Deviance Detection Theory of Mismatch Negativity
O’Reilly, J. A., & O’Reilly, A. (2021) · NeuroSci · doi:10.3390/neurosci2020011 · Cited by 21 · see citing works
Higgins, A., Lewandowski, K. E., Liukasemsarn, S., & Hall, M. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.01.009 · Cited by 20 · see citing works
Change detection in the primate auditory cortex through feedback of prediction error signals
Obara, K., Ebina, T., Terada, S.-I., Uka, T., Komatsu, M., Takaji, M., Watakabe, A., Kobayashi, K., Masamizu, Y., Mizukami, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42553-3 · Cited by 19 · see citing works
Self-citationDelgado-Sallent, C., Gener, T., Nebot, P., López-Cabezón, C., & Puig, M. V. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1152248 · Cited by 13 · see citing works
Jalewa, J., Todd, J., Michie, P. T., Hodgson, D. M., & Harms, L. R. (2020) · Hearing Research · doi:10.1016/j.heares.2020.107992 · Cited by 12 · see citing works
Sauer, A., Grent-‘t-Jong, T., Zeev‐Wolf, M., Singer, W., Goldstein, A., & Uhlhaas, P. J. (2023) · Schizophrenia Research · doi:10.1016/j.schres.2023.08.033 · Cited by 11 · see citing works
Huang, Y. T., Wu, C., Koike, S., & Chao, Z. C. (2024) · eNeuro · doi:10.1523/eneuro.0050-24.2024 · Cited by 11 · see citing works
Komatsu, M., & Ichinohe, N. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00826 · Cited by 13 · see citing works
Jiao, X., Ying, C., Tong, S., Tang, Y., Wang, J., & Sun, J. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.04.005 · Cited by 11 · see citing works
Koshiyama, D., Miyakoshi, M., Joshi, Y. B., Nakanishi, M., Tanaka‐Koshiyama, K., Sprock, J., & Light, G. A. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.01.005 · Cited by 11 · see citing works
Self-citationTorrens, W. A., Pablo, J. N., Shires, J., Haigh, S. M., & Berryhill, M. E. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15886 · Cited by 10 · see citing works
Dickie, E., Ameis, S., Boileau, I., Diaconescu, A., Felsky, D., Goldstein, B., Gonçalves, V., Griffiths, J. D., Haltigan, J., Husain, M. O., et al. (2023) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.10.013 · Cited by 6 · see citing works
Jiao, X., Hu, Q., Tang, Y., Qian, Z., Tong, S., Wang, J., & Sun, J. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2021.12.042 · Cited by 10 · see citing works
Inaba, H., Kai, R., Namba, H., Sotoyama, H., Jodo, E., Nin, F., Hibino, H., Yabe, H., Eifuku, S., Horii, A., et al. (2020) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgaa070 · Cited by 9 · see citing works
The effect of schizophrenia risk factors on mismatch responses in a rat model
Jalewa, J., Todd, J., Michie, P. T., Hodgson, D. M., & Harms, L. R. (2022) · Psychophysiology · doi:10.1111/psyp.14175 · Cited by 9 · see citing works
O’Reilly, J. A. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.10.004 · Cited by 9 · see citing works
Pattern glare sensitivity distinguishes subclinical autism and schizotypy
Torrens, W. A., Pablo, J. N., Berryhill, M. E., & Haigh, S. M. (2024) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2024.2335103 · Cited by 8 · see citing works
Todd, J., Salisbury, D. F., & Michie, P. T. (2023) · Psychiatry and Clinical Neurosciences Reports · doi:10.1002/pcn5.144 · Cited by 8 · see citing works
Kern, F. B., & Chao, Z. C. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011554 · Cited by 7 · see citing works
Auditory change detection and visual selective attention: association between MMN and N2pc
Kong, Y., Zhao, C., Li, D., Li, B., Hu, Y., Liu, H., Woolgar, A., Guo, J., & Song, Y. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae175 · Cited by 7 · see citing works
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Tada, M., Yagishita, S., Uka, T., Nishimura, R., Kishigami, T., Kirihara, K., Koshiyama, D., Usui, K., Fujioka, M., Araki, T., et al. (2024) · Clinical EEG and Neuroscience · doi:10.1177/15500594241294188 · Cited by 7 · see citing works
Self-citationMi, L., Wang, L., Li, X., She, S., Li, H., Huang, H., Zhang, J., Liu, Y., Zhao, J., Ning, Y., et al. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.02.065 · Cited by 6 · see citing works
Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico
Rosanally, S., Mazza, F., Yao, H. K., Moghbel, F., Seo, H., & Hay, E. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014304 · Cited by 5 · see citing works
Development of the relationship between visual selective attention and auditory change detection
Kong, Y., Yuan, X., Hu, Y., Li, B., Li, D., Guo, J., Sun, M., & Song, Y. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121020 · Cited by 5 · see citing works
Porfyri, I., Paraskevopoulos, E., Anagnostopoulou, A., Styliadis, C., & Bamidis, P. D. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1641862 · Cited by 4 · see citing works
Hyperlearning Hypothesis: Network disruption and maladaptive learning in schizophrenia
Yuichi, T., Sunaga, M., Fujihara, K., Ohki, T., Kato, Y., & Jinde, S. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111599 · Cited by 4 · see citing works
Auditory acuity and musical ability in young adults with high schizotypal traits
Deng, J., Zheng, X., Zhu, C., Lin, Z., & Ye, Y. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2022.152297 · Cited by 4 · see citing works
Kangas, E. S., Vuoriainen, E., Li, X., Lyyra, P., & Astikainen, P. (2021) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000288 · Cited by 3 · see citing works
Andriola, I., Valt, C., Marsella, V., Palma, C., Tavella, A., Putignano, F., Stolfa, G., Fazio, L., Rampino, A., Pergola, G., et al. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.09.054 · Cited by 2 · see citing works
Are There Non‐Mammalian Models of Mismatch Negativity? A Translational Tribute to Risto Näätänen
Chahlova, S. S., Stewart, A., Galstyan, D. S., de Abreu, M. S., & Kalueff, A. V. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70200 · Cited by 2 · see citing works
Sadh, K., Mehta, U. M., Muralidharan, K., Shivashankar, N., & Jain, S. (2021) · Schizophrenia Bulletin Open · doi:10.1093/schizbullopen/sgab001 · Cited by 2 · see citing works
Li, X., Wei, W., Wang, Q., Deng, W., Li, M., Ma, X., Zeng, J., Zhao, L., Guo, W., Hall, M., et al. (2024) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae026 · Cited by 2 · see citing works
Yamada, Y., Mishima, K., Ohnishi, T., Suzuki, M., Nemoto, T., Mizuno, M., Kishimoto, T., Tomita, H., Ozone, M., Kitamura, S., et al. (2024) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.24.1239 · Cited by 3 · see citing works
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Deng, J., Zhang, Y., Lu, L., Ou, Y., Lai, X., Chen, S., & Ye, Y. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1428814 · Cited by 1 · see citing works
Mismatch negativity deficits in schizophrenia and bipolar disorder
Du, L., Jiao, X., Shi, K., Mo, D., Zhou, J., Shi, Y., Zhang, X., Zeng, Z., Li, H., Duan, D., et al. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.05.037 · Cited by 1 · see citing works
Harenbrock, J., Schloßmacher, I., Todd, J., & Straube, T. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106534 · Cited by 1 · see citing works
Giarratana, A. O., Kaliuzhna, M., Kaiser, S., & Tobler, P. N. (2022) · Scientific Reports · doi:10.1038/s41598-022-24127-3 · Cited by 1 · see citing works
Effects of mismatch negative elicited by auditory deviant of horizontal locations in virtual space
Liu, H., Wu, Y., Bai, Y., & Ni, G. (2022) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/cme55444.2022.10063274 · Cited by 1 · see citing works
Mismatch negativity develops in adolescence and independently of microgliaPreprint
Rader, A., Ricci, D. A., Wargo, J. A., Sutton, V. J., Dalwai, H. S., Ferrell, A. D., Desai, B., Ross, J. M., Gallimore, C. G., Jacobs, C. L. W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.14.682114 · Cited by 1 · see citing works
A Key Regulator of Dendritic Morphology in Supragranular Neocortex Impacts Mismatch NegativityPreprint
Rader, A., Gallimore, C. G., Sutton, V. J., Ross, J. M., Sweet, R. A., Grubisha, M. J., & Hamm, J. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.28.702244 · Cited by 1 · see citing works
Khakim, Z., & Honbolygó, F. (2022) · Buletin Psikologi · doi:10.22146/buletinpsikologi.74437
Delgado-Sallent, C., Gener, T., Nebot, P., López-Cabezón, C., & Puig, M. V. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.16.524241
Deng, J., Zhang, Y., Ou, Y., Chen, S., Lin, Z., & Ye, Y. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4198105
A Dialectical Approach to the Question of ConsciousnessPreprint
Malikov, D. (2024) · doi:10.31219/osf.io/wvbsq
Hierarchical predictive processing in the brain: Predictive coding and its neural signatures
Huang, Y. T., & Chao, Z. C. (2025) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2025.03.004
Mahmud, F., Nanda, P., Kim, E. E., Imada, A., Morris, A., Ghaus, S., & Wiest, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6121031
Attenuated inferred–sensory mismatch during masked face recognition in schizophrenia
Sunaga, M., Takei, Y., Kato, Y., Oi, R., Imai, K., Fukasawa, K., Shigihara, Y., Fujihara, K., Sekiya, T., Fukuda, M., et al. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1749435
Mizutani, S., Go, Y., Aiba, A., Kasai, K., & Okabe, S. (2026) · Science Advances · doi:10.1126/sciadv.aeb4666
Self-citationCost-Chretien, M. E., Rideaux, R., & Tran, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.27.721216
Mismatch negativity matures in adolescence and without sensitivity to microglial depletion
Rader, A., Ricci, D. A., Wargo, J. A., Florisel, V. I., Dalwai, H. S., Ferrell, A. D., Desai, B., Ross, J. M., Gallimore, C. G., West, C. L., et al. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02547-3
- Authors
- Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., Fujioka, M., Usui, K., Araki, T., & Kasai, K.
- Affiliations
- The University of Tokyo (JP)
- The University of Tokyo Institutes for Advanced Study (JP)
- Corresponding author
- Kasai, Kiyoto
- ORCID
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-02-19
- Volume
- 46
- Issue
- 4
- Pages
- 937-946
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC7345817
- OpenAlex
- W3006724384
- Cited by
- 63
- References
- 43
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 9 · 2023: 10 · 2022: 9 · 2021: 11 · 2020: 9
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Schizophrenia Bulletin (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- JSPS KAKENHI (JP16H06395, 16H06399, 16K21720, 18K07588, 15H06166)
- AMED (JP19dm0207069)
- SENSHIN Medical Research Foundation
- Kurata Grants
- UTokyo Center for Integrative Science of Human Behavior
- WPI-IRCN
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- mismatch negativity, schizophrenia
- MeSH terms
- Adaptation, Physiological, Adult, Auditory Perception, Electroencephalography, Evoked Potentials, Auditory, Female, Humans, Male, Perceptual Disorders, Schizophrenia, Biomarkers, Young Adult
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