Aberrant Hierarchical Prediction Errors Are Associated With Transition to Psychosis: A Computational Single-Trial Analysis of the Mismatch Negativity

Näätänen, 2007, The mismatch negativity (MMN) in basic research of central auditory processing: A review, Clin Neurophysiol, 118, 2544, 10.1016/j.clinph.2007.04.026 Näätänen, 1978, Early selective-attention effect on evoked potential reinterpreted, Acta Psychol (Amst), 42, 313, 10.1016/0001-6918(78)90006-9 Fitzgerald, 2020, Making sense of mismatch negativity, Front Psychiatry, 11, 468, 10.3389/fpsyt.2020.00468 Erickson, 2016, A meta-analysis of mismatch negativity in schizophrenia: From clinical risk to disease specificity and progression, Biol Psychiatry, 79, 980, 10.1016/j.biopsych.2015.08.025 Bodatsch, 2011, Prediction of psychosis by mismatch negativity, Biol Psychiatry, 69, 959, 10.1016/j.biopsych.2010.09.057 Bodatsch, 2015, Forecasting psychosis by event-related potentials-Systematic review and specific meta-analysis, Biol Psychiatry, 77, 951, 10.1016/j.biopsych.2014.09.025 Hamilton, 2020, Electroencephalography and event-related potential biomarkers in individuals at clinical high risk for psychosis, Biol Psychiatry, 88, 294, 10.1016/j.biopsych.2020.04.002 Perez, 2014, Automatic auditory processing deficits in schizophrenia and clinical high-risk patients: Forecasting psychosis risk with mismatch negativity, Biol Psychiatry, 75, 459, 10.1016/j.biopsych.2013.07.038 Haigh, 2017, Mismatch negativity in first-episode schizophrenia: A meta-analysis, Clin EEG Neurosci, 48, 3, 10.1177/1550059416645980 Davies, 2018, Lack of evidence to favor specific preventive interventions in psychosis: A network meta-analysis, World Psychiatry, 17, 196, 10.1002/wps.20526 Garrido, 2009, The mismatch negativity: A review of underlying mechanisms, Clin Neurophysiol, 120, 453, 10.1016/j.clinph.2008.11.029 Lieder, 2013, A neurocomputational model of the mismatch negativity, PLoS Comput Biol, 9, 10.1371/annotation/ca4c3cdf-9573-4a93-9542-3a62cdbb8396 Poublan-Couzardot, 2022, Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response, bioRxiv Weber, 2020, Ketamine affects prediction errors about statistical regularities: A computational single-trial analysis of the mismatch negativity, J Neurosci, 40, 5658, 10.1523/JNEUROSCI.3069-19.2020 Weber, 2022, Auditory mismatch responses are differentially sensitive to changes in muscarinic acetylcholine versus dopamine receptor function, eLife, 11, 10.7554/eLife.74835 Friston, 2005, A theory of cortical responses, Philos Trans R Soc Lond B Biol Sci, 360, 815, 10.1098/rstb.2005.1622 Wacongne, 2011, Evidence for a hierarchy of predictions and prediction errors in human cortex, Proc Natl Acad Sci U S A, 108, 20754, 10.1073/pnas.1117807108 Kiebel, 2008, A hierarchy of time-scales and the brain, PLoS Comput Biol, 4, 10.1371/journal.pcbi.1000209 Kiebel, 2009, Recognizing sequences of sequences, PLoS Comput Biol, 5, 10.1371/journal.pcbi.1000464 Sterzer, 2018, The predictive coding account of psychosis, Biol Psychiatry, 84, 634, 10.1016/j.biopsych.2018.05.015 Friston, 2016, The dysconnection hypothesis (2016), Schizophr Res, 176, 83, 10.1016/j.schres.2016.07.014 Javitt, 2015, Auditory dysfunction in schizophrenia: Integrating clinical and basic features, Nat Rev Neurosci, 16, 535, 10.1038/nrn4002 Schmidt, 2012, Mismatch negativity encoding of prediction errors predicts S-ketamine-induced cognitive impairments, Neuropsychopharmacology, 37, 865, 10.1038/npp.2011.261 Umbricht, 2000, Ketamine-induced deficits in auditory and visual context-dependent processing in healthy volunteers: Implications for models of cognitive deficits in schizophrenia, Arch Gen Psychiatry, 57, 1139, 10.1001/archpsyc.57.12.1139 Heekeren, 2008, Mismatch negativity generation in the human 5HT 2A agonist and NMDA antagonist model of psychosis, Psychopharmacol (Berl), 300, 77, 10.1007/s00213-008-1129-4 Frässle, 2018, Generative models for clinical applications in computational psychiatry, Wiley Interdiscip Rev Cogn Sci, 9, e1460, 10.1002/wcs.1460 Schöbi, 2021, Model-based prediction of muscarinic receptor function from auditory mismatch negativity responses, Neuroimage, 237, 10.1016/j.neuroimage.2021.118096 Symmonds, 2018, Ion channels in EEG: Isolating channel dysfunction in NMDA receptor antibody encephalitis, Brain, 141, 1691, 10.1093/brain/awy107 Moran, 2011, An in vivo assay of synaptic function mediating human cognition, Curr Biol, 21, 1320, 10.1016/j.cub.2011.06.053 Mathys, 2011, A Bayesian foundation for individual learning under uncertainty, Front Hum Neurosci, 5, 39, 10.3389/fnhum.2011.00039 Mathys, 2014, Uncertainty in perception and the hierarchical Gaussian filter, Front Hum Neurosci, 8, 825, 10.3389/fnhum.2014.00825 Fryer, 2020, Deficits in auditory predictive coding in individuals with the psychosis risk syndrome: Prediction of conversion to psychosis, J Abnorm Psychol, 129, 599, 10.1037/abn0000513 Charlton, 2022, Atypical prediction error learning is associated with prodromal symptoms in individuals at clinical high risk for psychosis, Schizophrenia, 8, 10.1038/s41537-022-00302-3 Kiebel, 2004, Statistical parametric mapping for event-related potentials: I. Generic considerations, Neuroimage, 22, 492, 10.1016/j.neuroimage.2004.02.012 Worsley, 1996, A unified statistical approach for determining significant signals in images of cerebral activation, Hum Brain Mapp, 4, 58, 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O Flandin, 2019, Analysis of family-wise error rates in statistical parametric mapping using random field theory, Hum Brain Mapp, 40, 2052, 10.1002/hbm.23839 Hollingshead, 1975 Moran, 2013, Free energy, precision and learning: The role of cholinergic neuromodulation, J Neurosci, 33, 8227, 10.1523/JNEUROSCI.4255-12.2013 Miller, 2002, Prospective diagnosis of the initial prodrome for schizophrenia based on the structured interview for prodromal syndromes: Preliminary evidence of interrater reliability and predictive validity, Am J Psychiatry, 159, 863, 10.1176/appi.ajp.159.5.863 Miller, 2003, Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: Predictive validity, interrater reliability, and training to reliability, Schizophr Bull, 29, 703, 10.1093/oxfordjournals.schbul.a007040 Kay, 1987, The Positive and Negative Syndrome Scale (PANSS) for schizophrenia, Schizophr Bull, 13, 261, 10.1093/schbul/13.2.261 Fletcher, 2009, Perceiving is believing: A Bayesian approach to explaining the positive symptoms of schizophrenia, Nat Rev Neurosci, 10, 48, 10.1038/nrn2536 Kapur, 2003, Psychosis as a state of aberrant salience: A framework linking biology, phenomenology, and pharmacology in schizophrenia, Am J Psychiatry, 160, 13, 10.1176/appi.ajp.160.1.13 Hauke, 2023, Aberrant perception of environmental volatility during social learning in emerging psychosis, medRxiv Hauke, 2022 Reed, 2020, Paranoia as a deficit in non-social belief updating, eLife, 9, 10.7554/eLife.56345 Suthaharan, 2021, Paranoia and belief updating during the COVID-19 crisis, Nat Hum Behav, 5, 1190, 10.1038/s41562-021-01176-8 Cole, 2020, Atypical processing of uncertainty in individuals at risk for psychosis, NeuroImage Clin, 26, 10.1016/j.nicl.2020.102239 Friston, 1998, The disconnection hypothesis, Schizophr Res, 30, 115, 10.1016/S0920-9964(97)00140-0 Friston, 1995, Schizophrenia: A disconnection syndrome?, Clin Neurosci, 3, 89 Stephan, 2006, Synaptic plasticity and dysconnection in schizophrenia, Biol Psychiatry, 59, 929, 10.1016/j.biopsych.2005.10.005 Stephan, 2009, Dysconnection in schizophrenia: From abnormal synaptic plasticity to failures of self-monitoring, Schizophr Bull, 35, 509, 10.1093/schbul/sbn176 Scarr, 2018, Low levels of muscarinic M1 receptor–positive neurons in cortical layers III and V in Brodmann areas 9 and 17 from individuals with schizophrenia, J Psychiatry Neurosci, 43, 338, 10.1503/jpn.170202 Scarr, 2013, Decreased cortical muscarinic M1 receptors in schizophrenia are associated with changes in gene promoter methylation, mRNA and gene targeting microRNA, Transl Psychiatry, 3, 10.1038/tp.2013.3 Scarr, 2009, Decreased cortical muscarinic receptors define a subgroup of subjects with schizophrenia, Mol Psychiatry, 14, 1017, 10.1038/mp.2008.28 Dean, 2005, Environmental risk factors for psychosis, Dialogues Clin Neurosci, 7, 69, 10.31887/DCNS.2005.7.1/kdean Kantrowitz, 2015, D-serine for the treatment of negative symptoms in individuals at clinical high risk of schizophrenia: A pilot, double-blind, placebo-controlled, randomised parallel group mechanistic proof-of-concept trial, Lancet Psychiatry, 2, 403, 10.1016/S2215-0366(15)00098-X Paul, 2022, Muscarinic acetylcholine receptor agonists as novel treatments for schizophrenia, Am J Psychiatry, 179, 611, 10.1176/appi.ajp.21101083 Hamilton, 2019, Association between P300 responses to auditory oddball stimuli and clinical outcomes in the psychosis risk syndrome, JAMA Psychiatry, 76, 1187, 10.1001/jamapsychiatry.2019.2135 Marr, 1982 Stephan, 2014, Computational approaches to psychiatry, Curr Opin Neurobiol, 25, 85, 10.1016/j.conb.2013.12.007 Crovitz, 1962, A group-test for assessing hand- and eye-dominance, Am J Psychol, 75, 271, 10.2307/1419611