Stronger top-down and weaker bottom-up frontotemporal connections during sensory learning are associated with severity of psychotic phenomena
Open accessAbstract
Recent theories in computational psychiatry propose that unusual perceptual experiences and delusional beliefs may emerge as a consequence of aberrant inference and disruptions in sensory learning. The current study investigates these theories and examines the alterations that are specific to schizophrenia spectrum disorders vs those that occur as psychotic phenomena intensify, regardless of diagnosis. We recruited 66 participants: 22 schizophrenia spectrum inpatients, 22 nonpsychotic inpatients, and 22 nonclinical controls. Participants completed the reversal oddball task with volatility manipulated. We recorded neural responses with electroencephalography and measured behavioral errors to inferences on sound probabilities. Furthermore, we explored neural dynamics using dynamic causal modeling (DCM). Attenuated prediction errors (PEs) were specifically observed in the schizophrenia spectrum, with reductions in mismatch negativity in stable, and P300 in volatile, contexts. Conversely, aberrations in connectivity were observed across all participants as psychotic phenomena increased. DCM revealed that impaired sensory learning behavior was associated with decreased intrinsic connectivity in the left primary auditory cortex and right inferior frontal gyrus (IFG); connectivity in the latter was also reduced with greater severity of psychotic experiences. Moreover, people who experienced more hallucinations and psychotic-like symptoms had decreased bottom-up and increased top-down frontotemporal connectivity, respectively. The findings provide evidence that reduced PEs are specific to the schizophrenia spectrum, but deficits in brain connectivity are aligned on the psychosis continuum. Along the continuum, psychotic experiences were related to an aberrant interplay between top-down, bottom-up, and intrinsic connectivity in the IFG during sensory uncertainty. These findings provide novel insights into psychosis neurocomputational pathophysiology.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Compared to healthy controls, schizophrenia patients showed stronger functional connectivity between orbitofrontal and visual cortex, and between the right and left superior temporal gyrus.
“Compared to HC, patients with SCZ showed stronger functional connectivity between orbitofrontal and vi sual cortex, and between the right and left superior temporal gyrus.”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Dzafic et al., 2021
In schizophrenia, reduced connectivity between several brain areas was found in tasks involving movements: precuneus and medial prefrontal cortex during predictable motion; left frontal pole, superior frontal gyrus, and paracingulate gyrus during random motion; right cerebellum, left superior frontal gyrus, and paracingulate gyrus during arbitrary motion.
“Reduced connectivity between several brain areas was found in tasks involving movements, such as precuneus and medial prefrontal cortex during predictable motion; left frontal pole, superior frontal gyrus, and paracingulate gyrus during random motion; right cerebellum, left superior frontal gyrus, and par acingulate gyrus during arbitrary motion (Dzafic et al., 2021; Scheliga et al., 2022”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Dzafic et al., 2021
In schizophrenia, reduced connectivity between the left and right hemispheres was observed for the inferior/superior frontal gyrus and primary auditory cortex during prediction tasks.
“Conversely, reduced connectivity between the left and right hemi spheres was observed for the inferior/superior frontal gyrus and primary auditory cortex during prediction tasks.”
From Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review. (2025) · cites this paper as Dzafic et al., 2021
Cites
The Positive and Negative Syndrome Scale (PANSS) for schizophrenia.
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987) · Schizophrenia Bulletin · doi:10.1093/schbul/13.2.261 · Cited by 21,378 · see citing works
Krystal, J. H. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950030035004 · Cited by 3,330 · 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
Two varieties of long-latency positive waves evoked by unpredictable auditory stimuli in man
Squires, N. K., Squires, K. C., & Hillyard, S. A. (1975) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(75)90263-1 · Cited by 2,101 · see citing works
The five percent electrode system for high-resolution EEG and ERP measurements
Oostenveld, R., & Praamstra, P. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00527-7 · Cited by 1,915 · see citing works
Structure and function of auditory cortex: music and speech
Zatorre, R. J., Belin, P., & Penhune, V. B. (2002) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01816-7 · Cited by 1,595 · see citing works
Language-specific phoneme representations revealed by electric and magnetic brain responses
Näätänen, R., Lehtokoski, A., Lennes, M., Cheour, M., Huotilainen, M., Iivonen, A., Vainio, M., Alku, P., Ilmoniemi, R. J., Luuk, A., et al. (1997) · Nature · doi:10.1038/385432a0 · Cited by 1,260 · see citing works
Jansen, B. H., & Rit, V. G. (1995) · Biological Cybernetics · doi:10.1007/bf00199471 · Cited by 1,159 · see citing works
The Predictive Coding Account of Psychosis
Sterzer, P., Adams, R. A., Fletcher, P., Frith, C., Lawrie, S. M., Muckli, L., Petrovic, P., Uhlhaas, P., Voss, M., & Corlett, P. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.05.015 · Cited by 941 · see citing works
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850 · cited 4× · see citing works
“We found a main effect of MMN, F(1, 61) = 80.”
BackgroundMethodInfluentialA neural mass model for MEG/EEG:
Olivier David, A., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.015 · Cited by 705 · see citing works
Pavlovian conditioning-induced hallucinations result from overweighting of perceptual priors
Powers, A. R., Mathys, C., & Corlett, P. R. (2017) · Science · doi:10.1126/science.aan3458 · Cited by 684 · see citing works
Evidence for a hierarchy of predictions and prediction errors in human cortex
Wacongne, C., Labyt, E., van Wassenhove, V., Bekinschtein, T., Naccache, L., & Dehaene, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117807108 · Cited by 560 · see citing works
Psychotic symptoms in non-clinical populations and the continuum of psychosis
Verdoux, H., & van Os, J. (2002) · Schizophrenia Research · doi:10.1016/s0920-9964(01)00352-8 · Cited by 557 · see citing works
Psychosis as a transdiagnostic and extended phenotype in the general population
van Os, J., & Reininghaus, U. (2016) · World Psychiatry · doi:10.1002/wps.20310 · Cited by 531 · see citing works
Konings, M., Bak, M., Hanssen, M., van Os, J., & A, L. K. M. (2006) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2005.00741.x · Cited by 518 · see citing works
Opitz, B., Rinne, T., Mecklinger, A., von Cramon, D. Y., & Schröger, E. (2002) · NeuroImage · doi:10.1006/nimg.2001.0970 · Cited by 513 · see citing works
The functional anatomy of the MMN: a DCM study of the roving paradigm
Garrido, M. I., Friston, K. J., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Kilner, J. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.018 · Cited by 458 · see citing works
Self-citationLateralization of auditory-cortex functions
Tervaniemi, M. H., & Hugdahl, K. (2003) · Brain Research Reviews · doi:10.1016/j.brainresrev.2003.08.004 · Cited by 447 · see citing works
Expectation and Attention in Hierarchical Auditory Prediction
Chennu, S., Noreika, V., Gueorguiev, D., Blenkmann, A., Kochen, S., Ibanez, A., Owen, A. M., & Bekinschtein, T. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0114-13.2013 · Cited by 299 · see citing works
Computational psychiatry: towards a mathematically informed understanding of mental illness
Adams, R. A., Huys, Q. J. M., & Roiser, J. P. (2015) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2015-310737 · Cited by 285 · see citing works
Prediction of Psychosis by Mismatch Negativity
Bodatsch, M., Ruhrmann, S., Wagner, M., Müller, R., Schultze‐Lutter, F., Frommann, I., Brinkmeyer, J., Gäebel, W., Maier, W., Klosterkötter, J., et al. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.057 · Cited by 284 · see citing works
How specific are deficits in mismatch negativity generation to schizophrenia?
Umbricht, D., Koller, R., Schmid, L., Skrabo, A., Grübel, C., Huber, T., & Stassen, H. H. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01642-6 · Cited by 247 · see citing works
Dynamic causal modelling of evoked potentials: A reproducibility study
Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.014 · Cited by 233 · see citing works
Self-citationWhat has MMN revealed about the auditory system in schizophrenia?
Michie, P. T. (2001) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(01)00166-0 · Cited by 230 · see citing works
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study
Auksztulewicz, R., & Friston, K. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu323 · Cited by 227 · see citing works
Repetition suppression and plasticity in the human brain
Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., Baldeweg, T., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.034 · Cited by 223 · see citing works
Self-citationDynamic causal modelling for EEG and MEG
Kiebel, S. J., Garrido, M. I., Moran, R. J., & Friston, K. J. (2008) · Cognitive Neurodynamics · doi:10.1007/s11571-008-9038-0 · Cited by 211 · see citing works
Self-citationDynamic Causal Modeling of the Response to Frequency Deviants
Garrido, M. I., Kilner, J. M., Kiebel, S. J., & Friston, K. J. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90291.2008 · Cited by 208 · see citing works
Self-citationDynamic causal modeling for EEG and MEG
Kiebel, S. J., Garrido, M. I., Moran, R., Chen, C., & Friston, K. J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20775 · Cited by 204 · see citing works
Self-citationExamining the psychosis continuum
DeRosse, P., & Karlsgodt, K. H. (2015) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-015-0040-7 · Cited by 145 · see citing works
Dynamic causal modelling of evoked responses: The role of intrinsic connections
Kiebel, S. J., Garrido, M. I., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.046 · Cited by 127 · see citing works
Self-citationMismatch Negativity: Translating the Potential
Todd, J., Harms, L. R., Schall, U., & Michie, P. T. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00171 · Cited by 118 · see citing works
Baldeweg, T., & Hirsch, S. R. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.03.008 · Cited by 108 · see citing works
Mismatch negativity (MMN) deficiency: A break-through biomarker in predicting psychosis onset
Näätänen, R., Shiga, T., Asano, S., & Yabe, H. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.12.012 · Cited by 85 · see citing works
Earls, H. A., Curran, T., & Mittal, V. A. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw047 · Cited by 85 · see citing works
Volatility Estimates Increase Choice Switching and Relate to Prefrontal Activity in Schizophrenia
Deserno, L., Boehme, R., Mathys, C. D., Katthagen, T., Kaminski, J. A., Stephan, K. E., Heinz, A., & Schlagenhauf, F. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.10.007 · Cited by 80 · see citing works
Sensory prediction errors in the continuum of psychosis
Randeniya, R., Oestreich, L. K. L., & Garrido, M. I. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2017.04.019 · Cited by 78 · see citing works
Self-citationRanlund, S., Adams, R. A., Díez, Á., Constante, M., Dutt, A., Hall, M., Maestro Carbayo, A., McDonald, C., Petrella, S., Schulze, K., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23035 · Cited by 77 · see citing works
Oades, R. D., Dittmann-Balçar, A., Zerbin, D., & Grzella, I. (1997) · Biological Psychiatry · doi:10.1016/s0006-3223(96)00214-4 · Cited by 75 · see citing works
Weber, L. A. E., Diaconescu, A. O., Mathys, C. D., Schmidt, A., Kometer, M., Vollenweider, F. X., & Stephan, K. E. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.3069-19.2020 · Cited by 73 · see citing works
Dima, D., Frangou, S., Burge, L., Braeutigam, S., & James, A. C. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2011.12.024 · Cited by 65 · see citing works
Rosch, R. E., Auksztulewicz, R., Leung, P. D., Friston, K. J., & Baldeweg, T. (2019) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.07.003 · Cited by 56 · see citing works
Lecaignard, F., Bertrand, O., Gimenez, G., Mattout, J., & Caclin, A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00505 · Cited by 50 · see citing works
Markers of Psychosis Risk in the General Population
Taylor, J. H., Calkins, M. E., & Gur, R. E. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.002 · Cited by 43 · see citing works
Altered auditory processing and effective connectivity in 22q11.2 deletion syndrome
Larsen, K. M., Mørup, M., Birknow, M. R., Fischer, E., Hulme, O. J., Vangkilde, A., Schmock, H., Baaré, W. F. C., Didriksen, M., Olsen, L., et al. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.01.026 · Cited by 28 · see citing works
Self-citationStatistical Learning and Inference Is Impaired in the Nonclinical Continuum of Psychosis
Dzafic, I., Randeniya, R., Harris, C. D., Bammel, M., & Garrido, M. I. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0315-20.2020 · Cited by 24 · see citing works
Self-citationHow Does the Extraction of Local and Global Auditory Regularities Vary with Context?
Marti, S., Thibault, L., & Dehaene, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107227 · Cited by 16 · see citing works
Oestreich, L., Randeniya, R., & Garrido, M. I. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01972-z · Cited by 13 · see citing works
Self-citationWeber, L. A. E., Diaconescu, A. O., Tomiello, S., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby017.688 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Adams, R. A., Pinotsis, D., Tsirlis, K., Unruh, L., Mahajan, A., Horas, A. M., Convertino, L., Summerfelt, A., Sampath, H., Du, X. M., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.07.024 · Cited by 98 · see citing works
Predictive coding in neuropsychiatric disorders: a systematic transdiagnostic review.
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
“…prefrontal cortex during predictable motion; left frontal pole, superior frontal gyrus, and paracingulate gyrus during random motion; right cerebellum, left superior frontal gyrus, and par-acingulate gyrus during arbitrary motion (Dzafic et al., 2021; Scheliga et al., 2022; Schmack et al., 2017).”
- Authors
- Dzafic, I., Larsen, K. M., Darke, H., Pertile, H., Carter, O., Sundram, S., & Garrido, M. I.
- Affiliations
- The University of Queensland (AU)
- University of Copenhagen (DK)
- The University of Melbourne (AU)
- Monash Medical Centre (AU)
- Corresponding author
- Dzafic, Ilvana
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-01-06
- Volume
- 47
- Issue
- 4
- Pages
- 1039-1047
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC8266649
- OpenAlex
- W3119608760
- Cited by
- 24
- References
- 50
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 6 · 2021: 2
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Schizophrenia Bulletin (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Queensland (2016000071)
- Queensland Government
- Australian Research Council (FT140100807)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
- Keywords
- schizophrenia spectrum disorders, psychotic experiences
- MeSH terms
- Auditory Cortex, Humans, Learning, Perception, Psychotic Disorders, Case-Control Studies, Prefrontal Cortex, Patient Acuity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review