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 501–600 of 1,001
Modulating neural plasticity with non-invasive brain stimulation in schizophrenia
Hasan, A., Wobrock, T., Rajji, T. K., Malchow, B., & Daskalakis, Z. J. (2013) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-013-0446-8 · Cited by 31
Nelson, B., & Sass, L. A. (2017) · Current Problems of Psychiatry · doi:10.1515/cpp-2017-0015 · Cited by 29
Phalen, H., Coffman, B. A., Ghuman, A. S., Sejdić, E., & Salisbury, D. F. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.06.010 · Cited by 27
Blindness, Psychosis, and the Visual Construction of the World
Pollak, T. A., & Corlett, P. R. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz098 · Cited by 31
Jia, W., Zhu, H., Ni, Y., Su, J., Xu, R., Jia, H., & Wan, X. (2019) · Human Brain Mapping · doi:10.1002/hbm.24887 · Cited by 31
Fryer, S. L., Roach, B. J., Hamilton, H., Bachman, P., Belger, A., Carrión, R. E., Duncan, E., Johannesen, J., Light, G. A., Niznikiewicz, M. A., et al. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000513 · Cited by 28
Abnormal dynamic resting-state brain network organization in auditory verbal hallucination
Geng, H., Xu, P., Sommer, I. E., Luo, Y., Aleman, A., & Ćurĉić‐Blake, B. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02119-1 · Cited by 27
Advanced Signal Processing Methods for Characterization of Schizophrenia
Masychev, K., Ciprian, C., Ravan, M., Reilly, J. P., & MacCrimmon, D. J. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3011842 · Cited by 29
Gangadin, S. S., Cahn, W., Scheewe, T. W., Pol, H. E. H., & Bossong, M. G. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.03.041 · Cited by 27
A systematic review of TMS and neurophysiological biometrics in patients with schizophrenia
di Hou, M., Santoro, V., Biondi, A., Shergill, S. S., & Premoli, I. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.210006 · Cited by 29
Chen, Z., Deng, W., Gong, Q., Huang, C., Jiang, L., Li, M., He, Z., Wang, Q., Ma, X., Wang, Y., et al. (2014) · Psychological Medicine · doi:10.1017/s003329171300319x · Cited by 28
Cortical magnetization transfer abnormalities and connectome dysconnectivity in schizophrenia
Wei, Y., Collin, G., Mandl, R. C. W., Cahn, W., Keunen, K., Schmidt, R., Kahn, R. S., & van den Heuvel, M. P. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.05.029 · Cited by 28
When the drugs don’t work: treatment-resistant schizophrenia, serotonin and serendipity
Lowe, P., Krivoy, A., Porffy, L., Henriksdottir, E., Whiskey, E., & Shergill, S. S. (2017) · Therapeutic Advances in Psychopharmacology · doi:10.1177/2045125317737003 · Cited by 28
The dreaming brain/mind, consciousness and psychosis
Limosani, I., D’Agostino, A., Manzone, M. L., & Scarone, S. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2010.11.014 · Cited by 28
What's intact and what's not within the mismatch negativity system in schizophrenia
Todd, J., Whitson, L., Ellen, S., Michie, P. T., Schall, U., & Ward, P. B. (2014) · Psychophysiology · doi:10.1111/psyp.12181 · Cited by 27
Morgan, S. E., Young, J., Patel, A. X., Whitaker, K. J., Scarpazza, C., van Amelsvoort, T., Marcelis, M. C., van Os, J., Donohoe, G. J., Mothersill, D., et al. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.05.013 · Cited by 27
Minds and Brains, Sleep and Psychiatry
Hobson, J. A., Gott, J., & Friston, K. J. (2020) · Psychiatric Research and Clinical Practice · doi:10.1176/appi.prcp.20200023 · Cited by 27
Self-citationGaebler, A. J., Fakour, N., Stöhr, F., Zweerings, J., Taebi, A., Suslova, M., Dukart, J., Hipp, J. F., Adhikari, B. M., Kochunov, P., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02344-2 · Cited by 28
Nickl‐Jockschat, T., Stöcker, T., Markov, V., Krug, A., Huang, R., Schneider, F. W., Habel, U., Zerres, K., Nöthen, M. M., Treutlein, J., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.012 · Cited by 27
Probing myelin and axon abnormalities separately in psychiatric disorders using MRI techniques
Du, F., & Öngür, D. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00024 · Cited by 27
Woodward, T. S., Tipper, C. M., Leung, A. L., Lavigne, K. M., Sanford, N., & Metzak, P. D. (2015) · Human Brain Mapping · doi:10.1002/hbm.22820 · Cited by 27
Cognitive correlates of visual neural plasticity in schizophrenia
Jahshan, C. S., Wynn, J. K., Mathalon, D. H., & Green, M. F. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.03.016 · Cited by 27
Huang, H., Shu, C., Chen, J., Zou, J., Cheng Ann, C. H. E. N., Wu, S., Xiao, L., Liu, Z., Wang, H., Zhou, Y., et al. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.08.003 · Cited by 27
Rodrígues-Amorím, D., Baltanás, T. R., Vallejo-Curto, M. D. C., Rodríguez-Jamardo, C., Heras, M. E. D. L., Barreiro-Villar, C., Blanco-Formoso, M., Fernández-Palleiro, P., Álvarez-Ariza, M., López, M., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00885 · Cited by 27
Models of neuromodulation for computational psychiatry
Iglesias, S., Tomiello, S., Schneebeli, M., & Stephan, K. E. (2016) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1420 · Cited by 28
Self-citationPalaniyappan, L. K. (2019) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.180038 · Cited by 27
Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience
Gold, J. M., Corlett, P. R., Strauss, G. P., Schiffman, J. E., Ellman, L. M., Walker, E. F., Powers, A. R., Woods, S. W., Waltz, J. A., Silverstein, S. M., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa091 · Cited by 25
Grove, T. B., Lasagna, C. A., Martínez-Cancino, R., Pamidighantam, P., Deldin, P. J., & Tso, I. F. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.08.013 · Cited by 26
Schmidt, T. T., Jagannathan, N., Ljubljanac, M., Xavier, A., & Nierhaus, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-75019-3 · Cited by 37
Mastrandrea, R., Piras, F., Gabrielli, A., Banaj, N., Caldarelli, G., Spalletta, G., & Gili, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-94825-x · Cited by 26
Weber, L. A. E., Tomiello, S., Schöbi, D., Wellstein, K. V., Mueller, D. R., Iglesias, S., & Stephan, K. E. (2022) · eLife · doi:10.7554/elife.74835 · Cited by 28
Self-citationZawadzki, J. A., Girard, T. A., Foussias, G., Rodrigues, A., Siddiqui, I., Lerch, J. P., Grady, C. L., Remington, G. J., & Wong, A. H. C. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00180 · Cited by 32
de la Iglesia-Vayá, M., Escartí, M. J., Molina‐Mateo, J., Martí‐Bonmatí, L., Gadea, M., Castellanos, F. X., Aguilar, E. J., Robles, M., Biswal, B. B., & Sanjuán, J. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.08.027 · Cited by 26
Janoušová, E., Schwarz, D., & Kašpárek, T. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.03.004 · Cited by 26
Anti-NMDAR antibodies in new-onset psychosis. Positive results in an HIV-infected patient
Arboleya, S., Clemente, A., Deng, S., Bedmar, M., Salvador, I., Herbera, P., Cunill, V., Vives-Bauzá, C., Haro, J. M., Cañellas, F., et al. (2016) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2016.03.011 · Cited by 26
Hu, M., Zong, X., Zheng, J., Mann, J. J., Li, Z., Pantazatos, S. P., Li, Y., Liao, Y., Hé, Y., Zhou, J., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716001380 · Cited by 26
Díez, Á., Ranlund, S. M., Pinotsis, D. A., Calafato, S., Shaikh, M., Hall, M., Walshe, M., Nevado, Á., Friston, K. J., Adams, R. A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23588 · Cited by 26
Self-citationModel-based prediction of muscarinic receptor function from auditory mismatch negativity responses
Schöbi, D., Homberg, F., Frässle, S., Endepols, H., Moran, R. J., Friston, K. J., Tittgemeyer, M., Heinzle, J., & Stephan, K. E. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118096 · Cited by 25
Self-citationA predictive coding account of psychotic symptoms in autism spectrum disorder
van Schalkwyk, G. I., Volkmar, F. R., & Corlett, P. R. (2017) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-017-3065-9 · Cited by 25
Association analysis of the Cadherin13 gene with schizophrenia in the Japanese population
Otsuka, I., Watanabe, Y., Hishimoto, A., Boku, S., Mouri, K., Shiroiwa, K., Okazaki, S., Nunokawa, A., Shirakawa, O., Someya, T., et al. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s84736 · Cited by 25
Brain Metabolism in Substance-Induced Psychosis and Schizophrenia: A Preliminary PET Study
Dragogna, F., Mauri, M. C., Marotta, G., Armao, F. T., Brambilla, P., & Altamura, A. C. (2014) · Neuropsychobiology · doi:10.1159/000366485 · Cited by 27
Pu, W., Rolls, E. T., Guo, S., Liu, H., Yu, Y., Xue, Z., Feng, J., & Liu, Z. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.10.004 · Cited by 26
Haatveit, B. C., Jensen, J., Alnæs, D., Kaufmann, T., Brandt, C. L., Thoresen, C., Andreassen, O. A., Melle, I. S., Ueland, T., & Westlye, L. T. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.08.012 · Cited by 26
Mohan, A., Davidson, C., Ridder, D. D., & Vanneste, S. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9989-7 · Cited by 26
Whalley, H. C., Dimitrova, R., Sprooten, E., Dauvermann, M. R., Romaniuk, L., Duff, B. J., Watson, A. R., Moorhead, B., Bastin, M. E., Semple, S. I. K., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130900 · Cited by 26
Hasan, A., Misewitsch, K., Nitsche, M. A., Gruber, O., Padberg, F., Falkai, P., & Wobrock, T. (2013) · Brain stimulation · doi:10.1016/j.brs.2013.03.001 · Cited by 25
Du, F., Cooper, A. J., Cohen, B. M., Renshaw, P. F., & Öngür, D. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.01.026 · Cited by 25
Functional brain connectivity phenotypes for schizophrenia drug discovery
Dawson, N., MORRIS, B. J., & Pratt, J. A. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114563635 · Cited by 28
Xi, Y., Guo, F., Li, H., Chang, X., Sun, J., Zhu, Y., Liu, W.-M., Cui, L., Chen, G., Wang, H., et al. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.09.011 · Cited by 24
Choe, E., Lee, T. Y., Kim, M., Hur, J., Yoon, Y. B., Cho, K.-I. K., & Kwon, J. S. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.03.024 · Cited by 25
MacKay, M.-A. B., Paylor, J. W., Wong, J. T. F., Winship, I. R., Baker, G. B., & Dursun, S. M. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00537 · Cited by 27
Kim, P., Scott, M. R., & Meador‐Woodruff, J. H. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0359-4 · Cited by 25
Insight and white matter fractional anisotropy in first-episode schizophrenia
Asmal, L., du Plessis, S., Vink, M., Fouche, J.-P., Chiliza, B., & Emsley, R. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2016.11.005 · Cited by 24
Alves, C. L., Toutain, T. G. L. D. O., Porto, J. A. M., Aguiar, P. D. C., de Sena, E. P., Rodrigues, F. A., Pineda, A. M., & Thielemann, C. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acf734 · Cited by 23
Increased GABAB receptor signaling in a rat model for schizophrenia
Selten, M. M., Meyer, F., Ba, W., Vallès, A., Maas, D. A., Negwer, M., Eijsink, V. D., van Vugt, R. W. M., van Hulten, J. A., van Bakel, N. H. M., et al. (2016) · Scientific Reports · doi:10.1038/srep34240 · Cited by 25
de Bartolomeis, A., Ciccarelli, M., Simone, G. D., Mazza, B., Barone, A., & Vellucci, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065945 · Cited by 29
Braithwaite, J. J., Broglia, E., Brincat, O., Stapley, L., Wilkins, A. J., & Takahashi, C. (2013) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2013.768176 · Cited by 24
Functional dysconnectivity in schizophrenia and its relationship to neural synchrony
Brennan, A. M., Harris, A. W. F., & Williams, L. M. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2013.811899 · Cited by 24
Kim, Y., Ha, C. M., & Chang, S. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.468801 · Cited by 24
Network Neuroscience: A Framework for Developing Biomarkers in Psychiatry
Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_41 · Cited by 24
Kalemaki, K., Konstantoudaki, X., Tivodar, S., Sidiropoulou, K., & Karagogeos, D. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00096 · Cited by 25
Visual Attention Decits in Schizophrenia Can Arise From Inhibitory Dysfunction in Thalamus or Cortex
John, Y. J., Zikopoulos, B., Bullock, D. H., & Barbas, H. (2018) · Computational Psychiatry · doi:10.1162/cpsy_a_00023 · Cited by 22
Broadening Defense Mechanisms: Literature Review and Discussion
Young, G. (2021) · Causality and Neo-Stages in Development · doi:10.1007/978-3-030-82540-9_11 · Cited by 2
Schizophrenia risk genes: Implications for future drug development and discovery
O’Connell, G., Lawrie, S. M., McIntosh, A. M., & Hall, J. (2010) · Biochemical Pharmacology · doi:10.1016/j.bcp.2010.11.009 · Cited by 24
Xie, S., Liu, B., Wang, J., Zhou, Y., Cui, Y. J., Song, M., Chen, Y., Li, P., Lü, L., Lv, L., et al. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.12.024 · Cited by 23
Baajour, S., Chowdury, A., Thomas, P., Rajan, U., Khatib, D., Zajac‐Benitez, C., Falco, D., Haddad, L., Amirsadri, A., Bressler, S. L., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25032 · Cited by 21
Overview of schizophrenia research and treatment in Pakistan
Nawaz, R., Gul, S., Amin, R., Huma, T., & Mughairbi, F. A. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05545 · Cited by 23
Multi-site reproducibility of prefrontal–hippocampal connectivity estimates by stochastic DCM
Bernal‐Casas, D., Balaguer‐Ballester, E., Gerchen, M. F., Iglesias, S., Walter, H., Heinz, A., Meyer‐Lindenberg, A., Stephan, K. E., & Kirsch, P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.120 · Cited by 23
Self-citationPeters, H., Shao, J., Scherr, M., Schwerthöffer, D., Zimmer, C., Förstl, H., Bäuml, J., Wohlschläger, A. M., Riedl, V., Koch, K., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00055 · Cited by 23
Rare mutations and hypermethylation of the ARC gene associated with schizophrenia
Chuang, Y.-A., Hu, T., Chen, C., Hsu, S.-H., Tsai, H.-Y., & Cheng, M.-C. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.07.019 · Cited by 24
Multimodal Connectomics in Psychiatry: Bridging Scales From Micro to Macro
Scholtens, L. H., & van den Heuvel, M. P. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.017 · Cited by 24
Long, Q., Bhinge, S., Levin‐Schwartz, Y., Boukouvalas, Z., Calhoun, V. D., & Adalı, T. (2018) · Human Brain Mapping · doi:10.1002/hbm.24389 · Cited by 22
Increased amygdala-visual cortex connectivity in youth with persecutory ideation
DeCross, S. N., Farabaugh, A. H., Holmes, A. J., Ward, M., Boeke, E. A., Wolthusen, R. P. F., Coombs, G., Nyer, M., D, M. F. M., Buckner, R. L., et al. (2019) · Psychological Medicine · doi:10.1017/s0033291718004221 · Cited by 24
The Role of the Subplate in Schizophrenia and Autism: A Systematic Review
Serati, M., Delvecchio, G., Orsenigo, G., Mandolini, G. M., Lazzaretti, M., Scola, E., Triulzi, F. M., & Brambilla, P. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.03.049 · Cited by 25
Apparent motion perception in patients with paranoid schizophrenia
Sanders, L. L. O., de Millas, W., Heinz, A., Kathmann, N., & Sterzer, P. (2013) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-012-0344-5 · Cited by 22
Baumann, P. S., Cammoun, L., Conus, P., Kim, Q., Marquet, P. P., Meskaldji, D. E., Meuli, R. A., Thiran, J., & Hagmann, P. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.08.003 · Cited by 22
Alloza, C., Bastin, M. E., Cox, S. R., Gibson, J., Duff, B. J., Semple, S. I. K., Whalley, H. C., & Lawrie, S. M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23798 · Cited by 22
Amin, H. S., Parikh, P. K., & Ghate, M. D. (2021) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2021.113155 · Cited by 22
Prolonged deficit of gamma oscillations in the peri-infarct cortex of mice after stroke
Hazime, M., Alasoadura, M., Lamtahri, R., Quilichini, P., Leprince, J., Vaudry, D., & Chuquet, J. (2020) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113696 · Cited by 22
Functional Integration and Segregation in a Multilayer Network Model of Patients with Schizophrenia
Wei, J., Wang, X., Cui, X., Wang, B., Xue, J., Niu, Y., Wang, Q., Osmani, A., & Xiang, J. (2022) · Brain Sciences · doi:10.3390/brainsci12030368 · Cited by 22
Balan, S., Yamada, K., Hattori, E., Iwayama, Y., Toyota, T., Ohnishi, T., Maekawa, M., Toyoshima, M., Iwata, Y., Suzuki, K., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070302 · Cited by 22
Induction of plasticity in the human motor cortex by pairing an auditory stimulus with TMS
Sowman, P. F., Dueholm, S. ̧. S., Rasmussen, J. H., & Mrachacz‐Kersting, N. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00398 · Cited by 22
Rabella, M., Grasa, E., Corripio, I., Romero, S., Mañanas, M. Á., Antonijoan, R. M., Münte, T. F., Pérez, V., & Riba, J. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.05.019 · Cited by 22
Mattiaccio, L. M., Coman, I. L., Thompson, C. A., Fremont, W. P., Antshel, K. M., & Kates, W. R. (2018) · Behavioral and Brain Functions · doi:10.1186/s12993-018-0134-y · Cited by 22
Bortolotti, L. (2018) · Springer eBooks · doi:10.1007/978-3-319-97202-2 · Cited by 25
Neufang, S., Akhrif, A., Riedl, V., Förstl, H., Kurz, A., Zimmer, C., Sorg, C., & Wohlschläger, A. M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22226 · Cited by 23
Ramanathan, D., Conner, J. M., Anilkumar, A. A., & Tuszynski, M. H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00408.2014 · Cited by 22
Pieri, M. D., Sabé, M., Rochas, V., Poglia, G., Bartolomei, J., Kirschner, M., & Kaiser, S. (2025) · Schizophrenia · doi:10.1038/s41537-025-00596-z · Cited by 23
Cognitive deficits and white matter abnormalities in never-treated first-episode schizophrenia
Yang, M., Gao, S., & Zhang, X. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01049-0 · Cited by 21
The Etiology of Auditory Hallucinations in Schizophrenia: From Multidimensional Levels
Shao, X., Liao, Y., Gu, L., Chen, W., & Tang, J. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.755870 · Cited by 21
Raven, E. P., Veraart, J., Kievit, R. A., Genc, S., Ward, I. L., Hall, J., Cunningham, A., Doherty, J., van den Bree, M. B. M., & Jones, D. K. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02178-w · Cited by 21
Colibazzi, T., Wexler, B. E., Bansal, R., Hao, X., Liu, J., Sanchez‐Peña, J., Corcoran, C. M., Lieberman, J. A., & Peterson, B. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055783 · Cited by 21
Segnitz, N., Ferbert, T., Schmitt, A., Gass, P., Gebicke‐Haerter, P. J., & Zink, M. (2011) · Psychopharmacology · doi:10.1007/s00213-011-2262-z · Cited by 21
Potential risk for healthy siblings to develop schizophrenia
Liu, M., Zeng, L., Shen, H., Liu, Z., & Hu, D. (2011) · Neuroreport · doi:10.1097/wnr.0b013e32834f60a5 · Cited by 21
Towards diagnostic markers for the psychoses
Lawrie, S. M., O’Donovan, M. C., Saks, E. R., Burns, T., & Lieberman, J. A. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00021-3 · Cited by 21
Anderson, P., Jones, N. C., O'Brien, T. J., & Pinault, D. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw168 · Cited by 21
Xiao, W., Zhan, Q., Ye, F., Tang, X., Li, J., Dong, H., Sha, W., & Zhang, X. (2018) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2018.1459048 · Cited by 22
Neurodevelopmental insights into circuit dysconnectivity in schizophrenia
Nath, M., Wong, T. P., & Srivastava, L. K. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110047 · Cited by 24
Hamilton, H., Roach, B. J., Çavuş, I., Teyler, T. J., Clapp, W. C., Ford, J. M., Tarakci, E., Krystal, J. H., & Mathalon, D. H. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.590567 · Cited by 22
RetractedAvery, S. N., Huang, A., Sheffield, J. M., Rogers, B. P., Vandekar, S., Anticevic, A., & Woodward, N. D. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.09.009 · Cited by 21
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
