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.
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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]
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Items 201–232 of 232
Neurotrophins and Cytokines in Neuronal Plasticity
Spedding, M., & Gressèns, P. (2008) · Novartis Foundation symposium · doi:10.1002/9780470751251.ch18 · Cited by 66
Monfils, M., & Teskey, G. C. (2004) · Synapse · doi:10.1002/syn.20039 · Cited by 65
Yang, C. R., & Chen, L. (2005) · The Neuroscientist · doi:10.1177/1073858405279692 · Cited by 65
Zhou, Y., Acker, C. D., Netoff, T. I., Sen, K., & White, J. A. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509856103 · Cited by 62
Jiao, H., Zhang, L., Gao, F., Lou, D., Zhang, J., & Xu, M. (2007) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.04840.x · Cited by 59
Saccadic suppression by corollary discharge in the locust
ZARETSKY, M., & ROWELL, C. H. F. (1979) · Nature · doi:10.1038/280583a0 · Cited by 58
EEG coherence of prefrontal areas in normal and schizophrenic males during perceptual activation
Hoffman, R. E., Buchsbaum, M. S., Escobar, M. D., Makuch, R., Nuechterlein, K. H., & Guich, S. (1991) · Journal of Neuropsychiatry · doi:10.1176/jnp.3.2.169 · Cited by 56
Sakurai, A., & Katz, P. S. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-34-10745.2003 · Cited by 54
Hsieh, C. Y., Leslie, F. M., & Metherate, R. (2002) · Developmental Brain Research · doi:10.1016/s0165-3806(01)00314-5 · Cited by 54
Contribution of AMPA and NMDA receptors to excitatory responses in the inferior colliculus
Kelly, J. B., & Zhang, H. (2002) · Hearing Research · doi:10.1016/s0378-5955(02)00372-6 · Cited by 53
Ahlénius, S. (1999) · Pharmacology & Toxicology · doi:10.1111/j.1600-0773.1999.tb01482.x · Cited by 50
Setiawan, E., Jackson, M. F., MacDonald, J. F., & Matthews, S. G. (2007) · Journal of Physiology · doi:10.1113/jphysiol.2006.127381 · Cited by 48
17β-estradiol modifies stress-induced and age-related changes in hippocampal synaptic plasticity.
Foy, M. R., Baudry, M., Foy, J. G., & Thompson, R. F. (2008) · Behavioral Neuroscience · doi:10.1037/0735-7044.122.2.301 · Cited by 47
Moyano, S., Frechilla, D., & R�o, J. D. (2004) · Psychopharmacology · doi:10.1007/s00213-004-1816-8 · Cited by 45
Sawtell, N. B., Williams, A., & Bell, C. C. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.5302-06.2007 · Cited by 42
Frith, C. (1995) · International Clinical Psychopharmacology · doi:10.1097/00004850-199509000-00012 · Cited by 41
Self-citationCorollary discharge circuits for saccadic modulation of the pigeon visual system
Yang, Y., Cao, P., Yang, Y., & Wang, S.-R. (2008) · Nature Neuroscience · doi:10.1038/nn.2107 · Cited by 41
Genes and subtypes of schizophrenia
Mirnics, K., & Lewis, D. A. (2001) · Trends in Molecular Medicine · doi:10.1016/s1471-4914(01)02067-6 · Cited by 38
Genetic Transmission of Schizophrenia
Kinney, D. K., & Matthysse, S. (1978) · Annual Review of Medicine · doi:10.1146/annurev.me.29.020178.002331 · Cited by 38
Peck, C. K. (1984) · Journal of Neurophysiology · doi:10.1152/jn.1984.52.6.1154 · Cited by 28
Domino, E. F., Mirzoyan, D., & Tsukada, H. (2004) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2004.05.024 · Cited by 24
Korenblum, W., Barthel, A., Licinio, J., Wong, M., Wolf, O. T., Kirschbaum, C., & Bornstein, S. R. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001720 · Cited by 24
Delibaş, N., Doğuç, D. K., Sütçü, R., Eroğlu, E., & Gökalp, O. (2005) · International Journal of Neuroscience · doi:10.1080/00207450590914437 · Cited by 23
Denizot, J., Clausse, S., Elekes, K., Geffard, M., Grant, K., Libouban, S., Ravaille‐Veron, M., & SZABO, T. (1987) · Cell and Tissue Research · doi:10.1007/bf00215512 · Cited by 18
Is clozapine an (partial) agonist at both dopamine D 1 and D 2 receptors?
Jackson, D. M., Wikström, H., & Liao, Y. (1998) · Psychopharmacology · doi:10.1007/s002130050665 · Cited by 18
Understanding Cannabinoid Psychoactivity with Mouse Genetic Models
Mackie, K. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050280 · Cited by 18
Heinrich, J. E., Singh, T. D., Nordeen, K. W., & Nordeen, E. J. (2002) · Neurobiology of Learning and Memory · doi:10.1016/s1074-7427(02)00016-3 · Cited by 16
Activity‐dependent cleavage of brain glutamic acid decarboxylase 65 by calpain
Wei, J., Lin, C., Wu, H., Jin, Y., Lee, Y., & Wu, J. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.04074.x · Cited by 15
Colocho, P. E. S., del Rı́o, J. A., & Frechilla, D. (2007) · Journal of Physiology and Biochemistry · doi:10.1007/bf03165783 · Cited by 14
Malan, N. T., Eloff, F., Pretorius, P. J., Merwe, J. S. V. D., Huisman, H. W., & Laubscher, P. J. (1992) · Stress Medicine · doi:10.1002/smi.2460080403 · Cited by 8
Rosoklija, G., Toomayan, G., Ellis, S. P., Keilp, J., Mann, J. J., Latov, N., Hays, A. P., & Dwork, A. J. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.4.349 · Cited by 1
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1 of the 233 references couldn’t be matched to a known paper.
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
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Experimental and theoretical approaches to conscious processing
Dehaene, S., & Changeux, J.-P. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.018 · Cited by 2,573
Abnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Functional Connectivity and Brain Networks in Schizophrenia
Lynall, M.-E., Bassett, D. S., Kerwin, R., McKenna, P. J., Kitzbichler, M. G., Müller, U., & Bullmore, E. T. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0333-10.2010 · Cited by 1,348
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
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