ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 81 citations in OpenAlex.
- Acute subanesthetic ketamine-induced effects on the mismatch negativity and their relationship to early and sustained treatment response in major depressive disorder.Journal of psychopharmacology (Oxford, England) · 2025Trial
- Ketamine reduces the neural distinction between self- and other-produced affective touch: a randomized double-blind placebo-controlled study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Trial
- Subanaesthetic doses of ketamine reduce but do not eliminate predictive coding responses: implications for mechanisms of sensory disconnection.British journal of anaesthesia · 2023Trial
- Trial
- Linking reduced prefrontal microcircuit inhibition in schizophrenia to EEG biomarkers in silico.PLoS computational biology · 2026Article
- Early electrophysiological responses reflect precision-weighted prediction errors to face features.PloS one · 2026Article
- The Somatosensory Mismatch Negativity.The European journal of neuroscience · 2025Review
- SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025Review
- Localizing hierarchical prediction errors and precisions during an oddball task with volatility: Computational insights and relationship with psychosocial functioning in healthy individuals.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- How Layer-Specific fMRI Can Contribute to Understanding Perceptual Disturbances Across Psychiatric Disorders.Current topics in behavioral neurosciences · 2025Review
- Model-Based Approaches to Investigating Mismatch Responses in Schizophrenia.Clinical EEG and neuroscience · 2025Review
- Resting-State Electroencephalogram Complexity Is Associated With Oral Ketamine Treatment Response: A Bayesian Analysis of Lempel-Ziv Complexity and Multiscale Entropy.Brain and behavior · 2024Article
- Article
- Shared attention in virtual immersive reality enhances electrophysiological correlates of implicit sensory learning.Scientific reports · 2024Article
- Frontotemporal lobar degeneration changes neuronal beta-frequency dynamics during the mismatch negativity response.NeuroImage. Clinical · 2024Article
- Mismatch Negativity (MMN) as a Pharmacodynamic/Response Biomarker for NMDA Receptor and Excitatory/Inhibitory Imbalance-Targeted Treatments in Schizophrenia.Advances in neurobiology · 2024Review
- Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol.PloS one · 2024Article
- RDoC Framework Through the Lens of Predictive Processing: Focusing on Cognitive Systems Domain.Computational psychiatry (Cambridge, Mass.) · 2024Review
- Time-resolved dynamic computational modeling of human EEG recordings reveals gradients of generative mechanisms for the MMN response.PLoS computational biology · 2023Article
- A multimodal cortical network of sensory expectation violation revealed by fMRI.Human brain mapping · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The auditory mismatch negativity (MMN) is significantly reduced in schizophrenia. Notably, a similar MMN reduction can be achieved with NMDA receptor (NMDAR) antagonists. Both phenomena have been interpreted as reflecting an impairment of predictive coding or, more generally, the "Bayesian brain" notion that the brain continuously updates a hierarchical model to infer the causes of its sensory inputs. Specifically, neurobiological interpretations of predictive coding view perceptual inference as an NMDAR-dependent process of minimizing hierarchical precision-weighted prediction errors (PEs), and disturbances of this putative process play a key role in hierarchical Bayesian theories of schizophrenia. Here, we provide empirical evidence for this theory, demonstrating the existence of multiple, hierarchically related PEs in a "roving MMN" paradigm. We applied a hierarchical Bayesian model to single-trial EEG data from healthy human volunteers of either sex who received the NMDAR antagonist S-ketamine in a placebo-controlled, double-blind, within-subject fashion. Using an unrestricted analysis of the entire time-sensor space, our trial-by-trial analysis indicated that low-level PEs (about stimulus transitions) are expressed early (102-207 ms poststimulus), while high-level PEs (about transition probability) are reflected by later components (152-199 and 215-277 ms) of single-trial responses. Furthermore, we find that ketamine significantly diminished the expression of high-level PE responses, implying that NMDAR antagonism disrupts the inference on abstract statistical regularities. Our findings suggest that NMDAR dysfunction impairs hierarchical Bayesian inference about the world's statistical structure. Beyond the relevance of this finding for schizophrenia, our results illustrate the potential of computational single-trial analyses for assessing potential pathophysiological mechanisms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.