The DOI matches its Crossref record; 232 of the 233 references it cites were found in a registry or an index.
Dysconnection in Schizophrenia: From Abnormal Synaptic Plasticity to Failures of Self-monitoring
Open accessAbstract
Over the last 2 decades, a large number of neurophysiological and neuroimaging studies of patients with schizophrenia have furnished in vivo evidence for dysconnectivity, ie, abnormal functional integration of brain processes. While the evidence for dysconnectivity in schizophrenia is strong, its etiology, pathophysiological mechanisms, and significance for clinical symptoms are unclear. First, dysconnectivity could result from aberrant wiring of connections during development, from aberrant synaptic plasticity, or from both. Second, it is not clear how schizophrenic symptoms can be understood mechanistically as a consequence of dysconnectivity. Third, if dysconnectivity is the primary pathophysiology, and not just an epiphenomenon, then it should provide a mechanistic explanation for known empirical facts about schizophrenia. This article addresses these 3 issues in the framework of the dysconnection hypothesis. This theory postulates that the core pathology in schizophrenia resides in aberrant N-methyl-D-aspartate receptor (NMDAR)-mediated synaptic plasticity due to abnormal regulation of NMDARs by neuromodulatory transmitters like dopamine, serotonin, or acetylcholine. We argue that this neurobiological mechanism can explain failures of self-monitoring, leading to a mechanistic explanation for first-rank symptoms as pathognomonic features of schizophrenia, and may provide a basis for future diagnostic classifications with physiologically defined patient subgroups. Finally, we test the explanatory power of our theory against a list of empirical facts about schizophrenia.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Computational psychiatry studies have done exactly this – for instance, using conductance-based neural mass models to infer synaptic changes in disorders like schizophrenia from M/EEG recordings (25, 26).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [25]
Experimental — accuracy not yet measuredIn the citing paper
“It is of interest to note that similar Bayesian theories have previously been stated in the context of schizophrenia (63, 68, 89–92).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [89]
In the citing paper
“This model, and variants thereof, has already found widespread application to other psychiatric disorders with perceptual aberrations, in particular schizophrenia (63, 89, 90, 92, 107).”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [89]
In the citing paper
“A prominent and consistent pathophysiological characteristic that has emerged in schizophrenia involves impaired synaptic connectivity (Stephan et al., 2009)”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as Stephan et al., 2009
In the citing paper
“A prominent and consistent pathophysiological characteristic that has emerged in schizophrenia involves impaired synaptic connectivity (Stephan et al., 2009)”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as Stephan et al., 2009
In the citing paper
“Overall, studies conducted in SCZ suggest that this dysconnectivity may rely at the microscale on impaired control of synaptic plasticity, 40 notably of NMDAdependent plasticity.41,42”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [42]
In the citing paper
“Others have linked hallucinations to a failure to attenuate the sensory consequences of inner speech, in analogy to the mechanism that is thought to underlie delusions of control.42,124,135”
From Are hallucinations due to an imbalance between excitatory and inhibitory influences on the brain? (2016) · cites this paper as [42]
In the citing paper
“Such a possibility would be akin to the cycles of demyelination and remyelination often experienced by patients with multiple sclerosis 72 : cycles that have been shown to be associated with fluctuations in conduction velocity 46 and symptomatology, including psychotic symptomatology.[73][74][75]”
From Schizophrenia, myelination, and delayed corollary discharges: a hypothesis (2012) · cites this paper as [73]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
A JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS
Lindemann, L., Jaeschke, G., Michalon, A., Vieira, E., Honer, M., Spooren, W., Porter, R., Hartung, T., Kolczewski, S., Büttelmann, B., et al. (1909) · JAMA · doi:10.1001/jama.1909.02550020033007 · Cited by 7,889
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
Self-citationA theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578
Self-citationDementia Praecox or the Group of Schizophrenias
(1951) · Journal of the American Medical Association · doi:10.1001/jama.1951.02920270079043 · Cited by 4,407
Recent advances in the phencyclidine model of schizophrenia
(1991) · American Journal of Psychiatry · doi:10.1176/ajp.148.10.1301 · Cited by 2,904
Kapur, S. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.1.13 · Cited by 2,813
Early selective-attention effect on evoked potential reinterpreted
Näätänen, R., Gaillard, A. W. K., & Mäntysalo, S. (1978) · Acta Psychologica · doi:10.1016/0001-6918(78)90006-9 · Cited by 2,725
Das Reafferenzprinzip: Wechselwirkungen zwischen Zentralnervensystem und Peripherie
von Holst, E., & Mittelstaedt, H. (1950) · Naturwissenschaften · doi:10.1007/bf00622503 · Cited by 2,655
Research works printed but not linked: 17
- Friston, 1995, Clinical neuroscience (New York, N.Y.), 3, 89
- Olney, 1995, Archives of General Psychiatry, 52, 998, 10.1001/archpsyc.52.12.998 · DOI
- 2005, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 360, 815
- 2000, PNAS, 97, 3661, 10.1073/pnas.050350297 · DOI
- 2000, 27, 349
- 1995, International clinical psychopharmacology, 10, 87
- 2000, Psychological medicine, 3, 1131
- 2007, 55, 919
- 2000, 27, 611
- 2007, 18, 159
- 1999, 22, 615
- Bentaleb, 2002, Journal of psychiatry & neuroscience : JPN, 27, 110
- 2005, 46, 681
- 2007, Journal of neural transmission. Supplementum, 72, 269
- 2000, 28, 53
- 2003, 39, 641
- Arnold, 1991, Archives of General Psychiatry, 48, 625, 10.1001/archpsyc.48.7.625 · DOI
Cited by
Sorted by citations
Items 601–700 of 1,001
Physiology and Pharmacology of the GABA System: Focus on GABA Receptors
Möhler, H. (2010) · Springer eBooks · doi:10.1007/978-3-0346-0226-6_1 · Cited by 21
Schizophrenia: from neurophysiological abnormalities to clinical symptoms
Castelnovo, A., Ferrarelli, F., & D’Agostino, A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00478 · Cited by 21
Modeling Self-Agency among People with Schizophrenia: Empirical Evidence for Consumer-Based Recovery
Chiu, M. Y.-L., Davidson, L., Lo, W. T.-L., Yiu, M. G. C., & Ho, W. W. N. (2013) · Psychopathology · doi:10.1159/000345834 · Cited by 23
Pinault, D. (2017) · Brain Sciences · doi:10.3390/brainsci7040034 · Cited by 23
Hauke, D. J., Charlton, C. E., Schmidt, A., Griffiths, J., Woods, S. W., Ford, J. M., Srihari, V. H., Roth, V., Diaconescu, A. O., & Mathalon, D. H. (2022) · doi:10.1101/2022.12.20.22283712 · Cited by 18
The neuroscience of mental illness: Building toward the future
Gordon, J. A., Dzirasa, K., & Petzschner, F. H. (2024) · Cell · doi:10.1016/j.cell.2024.09.028 · Cited by 23
Traces of culture: The feedback loop between behavior, brain, and disorder
Crafa, D., & Nagel, S. K. (2020) · Transcultural Psychiatry · doi:10.1177/1363461519879515 · Cited by 24
Ahmad, R., Azman, K. F., Yahaya, R., Shafin, N., Omar, N., Ahmad, A. H., Zakaria, R., Wijaya, A., & Othman, Z. (2023) · AIMS neuroscience · doi:10.3934/neuroscience.2023002 · Cited by 20
Fan, Y., Xu, Y., Bayrak, Ş., Shine, J. M., Wan, B., Li, H., Li, L., Yang, S., Meng, Y., Valk, S. L., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad048 · Cited by 20
Shivakumar, V., Chhabra, H., Subbanna, M., Agarwal, S. M., Bose, A., Kalmady, S. V., Narayanaswamy, J. C., Debnath, M., & Venkatasubramanian, G. (2015) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2015.05.038 · Cited by 20
Guo, Q., Tang, Y., Li, H., Zhang, T., Li, J., Sheng, J., Liu, D., Li, C., & Wang, J. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.006 · Cited by 20
Egis-11150: A candidate antipsychotic compound with procognitive efficacy in rodents
Gacsályi, I., Nagy, K. E., Pallagi, K., Lévay, G. I., Hársing, L. G., Móricz, K., Kertész, S., Varga, P., Haller, J., Gigler, G., et al. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.07.017 · Cited by 19
Hasan, A., Bergener, T., Nitsche, M. A., Strube, W., Bunse, T., Falkai, P., & Wobrock, T. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00121 · Cited by 21
Altered intra- and inter-hemispheric functional dysconnectivity in schizophrenia
Zhang, Y., Dai, Z., Chen, Y. S., Sim, K., Sun, Y., & Yu, R. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9935-8 · Cited by 21
Rössler, J., Unterassner, L., Wyss, T., Haker, H., Brugger, P., Rössler, W., & Wotruba, D. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sby079 · Cited by 20
Sleep and Plasticity in Schizophrenia
Sprecher, K. E., Ferrarelli, F., & Benca, R. M. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2014_366 · Cited by 20
Influence of neurexin 1 (NRXN1) polymorphisms in clozapine response
de Souza, R. P., Meltzer, H. Y., Lieberman, J. A., Foll, B. L., & Kennedy, J. L. (2010) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.1146 · Cited by 20
Classification schemes of altered states of consciousness
Fort, L. D., Costines, C., Wittmann, M., Athena Demertzi, A., & Schmidt, T. T. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106178 · Cited by 31
Neuroglial Advances: New Roles for Established Players
Verkhratsky, A., Li, B., Niu, J., Lin, S.-S., Su, Y., Jin, W., Li, Y., Jiang, S., Yi, C., Shi, F., et al. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70080 · Cited by 19
Altered alpha brain oscillations during multistable perception in schizophrenia
Başar‐Eroğlu, C., Mathes, B., Khalaidovski, K., Brand, A., & Schmiedt‐Fehr, C. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.02.002 · Cited by 19
Tagawa, M., Takei, Y., Kato, Y., Suto, T., Hironaga, N., Ohki, T., Takahashi, Y., Fujihara, K., Sakurai, N., Ujita, K., et al. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13362 · Cited by 19
Cognitive Effects of Lurasidone and Cariprazine: A Mini Systematic Review
Olivola, M., Bassetti, N., Parente, S., Arienti, V., Civardi, S. C., Topa, P. A., & Brondino, N. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230727140843 · Cited by 19
Neuroimaging and multiomics reveal cross-scale circuit abnormalities in schizophrenia
Wang, M., Yan, H., Tian, X., Yue, W., Liu, Y., Fan, L., Hu, K., Sun, Y., Zhao, Y., Lou, J., et al. (2023) · Nature Mental Health · doi:10.1038/s44220-023-00110-3 · Cited by 20
Abnormal Brain Wiring as a Pathogenetic Mechanism in Schizophrenia
van den Heuvel, M. P., & Kahn, R. S. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.10.020 · Cited by 19
Guo, W., Liu, F., Xiao, C., Yu, M., Zhang, Z., Liu, J., Zhang, J., & Zhao, J. (2015) · Medicine · doi:10.1097/md.0000000000001493 · Cited by 19
Liu, X., Zhuo, C., Qin, W., Zhu, J., Xu, L., Xu, Y., & Yu, C. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.05.021 · Cited by 19
Xiu, Y., Cheng, G., Peng, C., Wang, Y., Li, Y., Chao, F., & Tang, Y. C. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23997 · Cited by 22
Hasler, R., Preti, M. G., Meskaldji, D. E., Prados, J., Adouan, W., Rodriguez, C. K., Toma, S., Hiller, N., Ismaili, T., Hofmeister, J., et al. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.09.004 · Cited by 19
Briend, F., Leroux, E., Delcroix, N., Razafimandimby, A., Etard, O., & Dollfus, S. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.01.049 · Cited by 19
Quarto, T., Paparella, I., Tullio, D. D., Viscanti, G., Fazio, L., Taurisano, P., Romano, R., Rampino, A., Masellis, R., Popolizio, T., et al. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx128 · Cited by 19
Impaired inter-hemispheric facilitatory connectivity in schizophrenia
Ribolsi, M., Mori, F., Magni, V., Codecà, C., Kusayanagi, H., Monteleone, F., Rubino, I. A., Siracusano, A., Bernardi, G., Centonze, D., et al. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.08.013 · Cited by 19
Real-time cognitive performance and positive symptom expression in schizophrenia
Dupuy, M., Abdallah, M., Swendsen, J. D., N’Kaoua, B., Chanraud, S., Schweitzer, P., Fatseas, M., Serre, F., Barse, E., Auriacombe, M., et al. (2021) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-021-01296-2 · Cited by 18
Sun, Y., Zhang, Z., Kakkos, I., Matsopoulos, G. K., Yuan, J., Suckling, J., Xu, L., Cao, S., Chen, W., Hu, X., et al. (2022) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3139701 · Cited by 22
Jiang, L., Wang, J., Dai, J., Li, F., Chen, B., He, R., Liao, Y., Yao, D., Dong, W., & Xu, P. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.02.011 · Cited by 19
Xie, Y.-J., Guan, M.-Z., He, Y., Wang, Z.-H., Ma, Z.-J., Fang, P., & Wang, H.-N. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1071769 · Cited by 20
Dysconnection in schizophrenia: Filling the dots from old to new evidence
Sapienza, J., Pacchioni, F., Spangaro, M., & Bosia, M. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.03.013 · Cited by 18
Hasan, A., Brinkmann, C., Strube, W., Palm, U., Malchow, B., Rothwell, J. C., Falkai, P., & Wobrock, T. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.12.006 · Cited by 18
Golembiewski, J. A. (2013) · Facilities · doi:10.1108/02632771311324981 · Cited by 18
A Whole-Brain Investigation of White Matter Microstructure in Adolescents with Conduct Disorder
Sarkar, S., Dell’Acqua, F., Froudist‐Walsh, S., Blackwood, N., Scott, S., Craig, M., Deeley, Q., & Murphy, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155475 · Cited by 20
Deficit of supramodal executive control of attention in schizophrenia
Spagna, A., He, G., Jin, S.-C., Gao, L., Mackie, M., Tian, Y., Wang, K., & Fan, J. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.11.002 · Cited by 20
Top-Down Disconnectivity in Schizophrenia During P300 Tasks
Li, F., Wang, J., Jiang, Y., Si, Y., Peng, W., Song, L., Jiang, Y., Zhang, Y., Dong, W., Yao, D., et al. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00033 · Cited by 19
Sandini, C., Zöller, D., Scariati, E., Padula, M. C., Schneider, M., Schaer, M., Ville, D. V. D., & Eliez, S. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00327 · Cited by 18
Wang, Z., Wang, H. Z., Mwansisya, T. E., Sheng, Y., Shan, B., Liu, Z., Xue, Z., & Chen, X. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111328 · Cited by 18
Misattribution Models (II): Source Monitoring in Hallucinating Schizophrenia Subjects
Woodward, T. S., & Menon, M. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4121-2_10 · Cited by 21
Schubotz, R. I. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00247-5 · Cited by 19
Structural Associations of Cortical Contrast and Thickness in First Episode Psychosis
Makowski, C., Lewis, J. D., Lepage, C., MALLA, A. K., Joober, R., Lepage, M., & Evans, A. C. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz040 · Cited by 17
Causal connectivity from right DLPFC to IPL in schizophrenia patients: a pilot study
Ćurĉić‐Blake, B., Kos, C., & Aleman, A. (2022) · Schizophrenia · doi:10.1038/s41537-022-00216-0 · Cited by 17
Xue, K., Chen, J., Wei, Y., Chen, Y., Han, S., Wang, C., Zhang, Y., Song, X., & Cheng, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.963634 · Cited by 17
Dysconnection and cognition in schizophrenia: A spectral dynamic causal modeling study
Zarghami, T. S., Zeidman, P., Razi, A., Bahrami, F., & Hossein‐Zadeh, G. (2023) · Human Brain Mapping · doi:10.1002/hbm.26251 · Cited by 16
Reading impairment in schizophrenia: Dysconnectivity within the visual system
Vinckier, F., Cohen, L., Oppenheim, C., Salvador, A., Picard, H., Amado, I., Krebs, M., & Raphaël Gaillard, B. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.10.004 · Cited by 17
Understanding the role of thalamic circuits in schizophrenia neuropathology
Anticevic, A. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.11.044 · Cited by 17
Intrinsic functional connectivity of fronto-temporal networks in adolescents with early psychosis
Solé‐Padullés, C., Castro‐Fornieles, J., de la Serna, E., Sánchez‐Gistau, V., Romero, S., Puig, O., Calvo, A., Bargalló, N., Baeza, I., & Sugranyes, G. (2016) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-016-0931-5 · Cited by 17
Janardhanan, A., Sadanand, A., & Vanisree, A. J. (2017) · Neuropsychobiology · doi:10.1159/000454985 · Cited by 12
RetractedHuang, J., Liu, C., Hwang, T., Chen, Y., Hsu, Y., Hwu, H., Lin, Y.-T., Hsieh, M. H., Liu, C., Chien, Y., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.23982 · Cited by 15
Peng, X., Zhang, R., Yan, W., Zhou, M., Lu, S., & Xie, S. (2020) · PubMed Central · Cited by 17
Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia
Alamian, G., Pascarella, A., Lajnef, T., Knight, L., Walters, J., Singh, K. D., & Jerbi, K. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102485 · Cited by 16
Barone, A., Signoriello, S., Latte, G., Vellucci, L., Giordano, G., Avagliano, C., Buonaguro, E. F., Marmo, F., Tomasetti, C., Iasevoli, F., et al. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113160 · Cited by 17
Driving Oscillatory Dynamics: Neuromodulation for Recovery After Stroke
Storch, S., Samantzis, M., & Balbi, M. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.712664 · Cited by 18
Circuits and brain rhythms in schizophrenia: a wealth of convergent targets
Whittington, M. A., Roopun, A. K., Traub, R. D., & Davies, C. H. (2011) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2011.04.010 · Cited by 17
Bayesian inference, dysconnectivity and neuromodulation in schizophrenia
Stephan, K. E., Diaconescu, A. O., & Iglesias, S. (2016) · Brain · doi:10.1093/brain/aww120 · Cited by 15
Self-citationMcNabb, C. B., Kydd, R. R., Sundram, F., Soosay, I., & Russell, B. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.11.002 · Cited by 15
Venkatasubramanian, G. (2015) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2015.13.1.36 · Cited by 17
Computational Models of Hallucinations
Jardri, R., & Denève, S. (2013) · The Neuroscience of Hallucinations · doi:10.1007/978-1-4614-4121-2_16 · Cited by 16
Servaas, M. N., Kos, C., Gravel, N., Renken, R. J., Marsman, J.-B. C., van Tol, M., & Aleman, A. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby108 · Cited by 15
Huang, H., Zhang, B., Mi, L., Liu, M., Chang, X., Luo, Y., Li, C., He, H., Zhou, J., Yang, R., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.928315 · Cited by 16
Kalauzi, A. J., Vučković, A., & Bojić, T. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.11.008 · Cited by 16
The influence of prior expectations on facial expression discrimination in schizophrenia
Barbalat, G., Rouault, M., Bazargani, N., Shergill, S. S., & Blakemore, S. (2012) · Psychological Medicine · doi:10.1017/s0033291712000384 · Cited by 20
Neural Mechanisms of Decision-Making and the Personal Level
Shea, N. J. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199579563.013.0062 · Cited by 16
Dreaming and the neurobiology of self: recent advances and implications for psychiatry
D’Agostino, A., Castelnovo, A., & Scarone, S. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00680 · Cited by 17
Pelov, I., Teltsh, O., Greenbaum, L., Rigbi, A., Kanyas, K., Lerer, B., Lombroso, P. J., & Kohn, Y. (2012) · Psychiatric Genetics · doi:10.1097/ypg.0b013e3283518586 · Cited by 16
Early auditory gamma band response abnormalities in first hospitalized schizophrenia
Taylor, G. W., McCarley, R. W., & Salisbury, D. F. (2013) · Supplements to Clinical neurophysiology · doi:10.1016/b978-0-7020-5307-8.00009-0 · Cited by 16
Aberrant patterns of local and long-range functional connectivity densities in schizophrenia
Liu, C., Zhang, W., Chen, G., Tian, H., Li, J., Qu, H., Cheng, L., Zhu, J., & Zhuo, C. (2017) · Oncotarget · doi:10.18632/oncotarget.18441 · Cited by 16
Paying attention to MMN in schizophrenia
Damaso, K. A. M., Michie, P. T., & Todd, J. (2015) · Brain Research · doi:10.1016/j.brainres.2015.06.031 · Cited by 21
Dean, A. M., Goodby, E., Ooi, C., Nathan, P. J., Lennox, B., Scoriels, L., Shabbir, S., John Suckling, A., Jones, P. B., Bullmore, E. T., et al. (2012) · Psychological Medicine · doi:10.1017/s0033291712001341 · Cited by 16
Sun, Y. M., Zhang, Z., Kakkos, I., Matsopoulos, G. K., Yuan, J., John Suckling, A., Xu, L., Cao, S., Chen, W., Hu, X., et al. (2022) · Apollo (University of Cambridge) · doi:10.17863/cam.82105 · Cited by 15
Shen, X., Jiang, F., Fang, X., Yan, W., Xie, S., & Zhang, R. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.998807 · Cited by 15
Studying Psychosis Using Natural Language Generation: A Review of Emerging Opportunities
Palaniyappan, L. K., Benrimoh, D. A., Voppel, A., & Rocca, R. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.04.009 · Cited by 14
Kolář, D., Krajčovič, B., Kletečková, L., Kunčická, D., Valeš, K., & Brožka, H. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad066 · Cited by 17
Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA
Gupta, C. N., Chen, J., Liu, J., Damaraju, E., Wright, C., Perrone‐Bizzozero, N. I., Pearlson, G. D., Luo, L., Michael, A. M., Turner, J. A., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00100 · Cited by 17
Meyer, F., & Louilot, A. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.74 · Cited by 15
Yang, Y., Nuechterlein, K. H., Phillips, O. R., Gutman, B. A., Kurth, F., Dinov, I. D., Thompson, P. M., Asarnow, R. F., Toga, A. W., & Narr, K. L. (2011) · Human Brain Mapping · doi:10.1002/hbm.21349 · Cited by 15
Hagenmuller, F., Heekeren, K., Meier, M., Theodoridou, A., Walitza, S., Haker, H., Wulf Rössler, A., & Kawohl, W. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.10.050 · Cited by 15
Altered short-term neural plasticity related to schizotypal traits: Evidence from visual adaptation
Thakkar, K. N., Antinori, A., Carter, O. L., & Brascamp, J. W. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.013 · Cited by 16
Aberrant effective connectivity is associated with positive symptoms in first-episode schizophrenia
Dietz, M. J., Zhou, Y., Veddum, L., Frith, C., & Bliksted, V. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102444 · Cited by 15
Self-citationFunctional connectome differences in individuals with hallucinations across the psychosis continuum
Schutte, M. J. L., Bohlken, M. M., Collin, G., Abramovic, L., Boks, M. P., Cahn, W., Dauwan, M., van Dellen, E., van Haren, N. E. M., Hugdahl, K., et al. (2021) · Scientific Reports · doi:10.1038/s41598-020-80657-8 · Cited by 15
Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia
Bayrakçı, A., Zorlu, N., Karakılıç, M., Gülyüksel, F., Yalınçetin, B., Oral, E., Gelal, F. M., & Bora, E. (2022) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-022-01433-5 · Cited by 16
The Effects of Psychosis Risk Variants on Brain Connectivity: A Review
Mothersill, O., Kelly, S., Rose, E. J., & Donohoe, G. J. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00018 · Cited by 18
Optogenetic fMRI in the mouse hippocampus: Hemodynamic response to brief glutamatergic stimuli
Lebhardt, P., von Hohenberg, C. C., Weber‐Fahr, W., Kelsch, W., & Sartorius, A. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15606455 · Cited by 14
Wang, X. (2013) · Cited by 15
Left hemispheric breakdown of LTP-like cortico-cortical plasticity in schizophrenic patients
Ribolsi, M., Lisi, G., Ponzo, V., Siracusano, A., Caltagirone, C., Niolu, C., & Koch, G. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.06.255 · Cited by 16
Mana, L., Schwartz-Palleja, M., Vila‐Vidal, M., & Deco, G. (2024) · Schizophrenia Research · doi:10.1016/j.schres.2024.05.008 · Cited by 13
Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry
Stefano, V. D., D’Angelo, M., Monaco, F., Vignapiano, A., Martiadis, V., Barone, E., Fornaro, M., Steardo, L., Solmi, M., Manchia, M., et al. (2024) · Brain Sciences · doi:10.3390/brainsci14121196 · Cited by 20
Serotonin Modulation of Dorsoventral Hippocampus in Physiology and Schizophrenia
Kandilakis, C. L., & Papatheodoropoulos, C. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26157253 · Cited by 14
Guo, W., Liu, F., Xiao, C., Zhang, Z., Yu, M., Liu, J., Liu, G., & Zhao, J. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.01.025 · Cited by 15
Paasonen, J., Salo, R. A., Ihalainen, J. A., Leikas, J. V., Savolainen, K., Lehtonen, M., Forsberg, M., & Gröhn, O. H. J. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.03.024 · Cited by 16
Gerretsen, P., Rajji, T. K., Shah, P., Shahab, S., Sanches, M., Graff‐Guerrero, A., Menon, M., Pollock, B. G., Mamo, D. C., Mulsant, B. H., et al. (2019) · Schizophrenia · doi:10.1038/s41537-019-0076-x · Cited by 15
Preserved metacognition despite impaired perception of intentionality cues in schizophrenia
Muthesius, A., Grothey, F., Cunningham, C., Hölzer, S., Vogeley, K. T., & Schultz, J. (2021) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2021.100215 · Cited by 14
Stoyanov, D., Kandilarova, S., Aryutova, K., Paunova, R., Mantarkov, М., Mitrev, I., Todeva-Radneva, A., & Specht, K. (2021) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527320666210917142815 · Cited by 14
Altered Microstate Dynamics and Spatial Complexity in Late-Life Schizophrenia
Lin, G., Wu, Z., Chen, B., Zhang, M., Wang, Q., Liu, M., Zhang, S., Yang, M., Ning, Y., & Zhong, X. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.907802 · Cited by 15
McNabb, C. B., Sundram, F., Soosay, I., Kydd, R. R., & Russell, B. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.02.008 · Cited by 14
Metadata
- Authors
- Stephan, K. E., Friston, K. J., & Frith, C. D.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Stephan, K. E.
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-03-30
- Volume
- 35
- Issue
- 3
- Pages
- 509-527
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC2669579
- OpenAlex
- W2095651675
- Semantic Scholar
- 8cfeb68228d86d29ef7a86331cbc4aefac1a2e9b
- Cited by
- 1,134
- References
- 233
- Citations by year
- 2026: 45 · 2025: 41 · 2024: 43 · 2023: 49 · 2022: 54 · 2021: 81 · 2020: 79 · 2019: 59 · 2018: 80 · 2017: 91 · 2016: 87 · 2015: 79 · 2014: 63 · 2013: 101 · 2012: 67
- FWCI
- 7.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Schizophrenia Bulletin (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-sa)
- UCL Discovery (University College London) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-sa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Wellcome Trust (056750, 088130)
- 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 › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- schizophrenia, dysconnectivity
- MeSH terms
- Acetylcholine, Awareness, Brain, Delusions, Dopamine, Electroencephalography, Hallucinations, Humans, Magnetic Resonance Imaging, Nerve Net, Neuronal Plasticity, Reality Testing, Schizophrenia, Schizophrenic Psychology, Serotonin, Synapses, Magnetoencephalography, Receptors, N-Methyl-D-Aspartate
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
