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 201–300 of 1,001
Antibodies to the N-Methyl-D-Aspartate Receptor and Other Synaptic Proteins in Psychosis
Deakin, J., Lennox, B., & Zandi, M. S. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.07.018 · Cited by 81
Losing Control Under Ketamine: Suppressed Cortico-Hippocampal Drive Following Acute Ketamine in Rats
Moran, R., Jones, M. W., Blockeel, A. J., Adams, R. A., Stephan, K. E., & Friston, K. J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.184 · Cited by 76
Self-citationUnschuld, P. G., Buchholz, A. S., Varvaris, M., van Zijl, P. C. M., Ross, C. A., Pekar, J. J., Hock, C., Sweeney, J. A., Tamminga, C. A., Keshavan, M. S., et al. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt077 · Cited by 83
Hippocampal–prefrontal connectivity as a translational phenotype for schizophrenia
Bähner, F., & Meyer‐Lindenberg, A. (2017) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.12.007 · Cited by 84
Marissal, T., Salazar, R. F., Bertollini, C., Mutel, S., Roo, M. D., Rodríguez, I., Müller, D., & Carleton, A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0225-y · Cited by 82
Discriminant analysis of functional connectivity patterns on Grassmann manifold
Yong Fan, A., Liu, Y., Wu, H. Q., Hao, Y., Liu, H., Liu, Z., & Jiang, T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.051 · Cited by 80
Fryer, S. L., Woods, S. W., Kiehl, K. A., Calhoun, V. D., Pearlson, G. D., Roach, B. J., Ford, J. M., Srihari, V. H., McGlashan, T. H., & Mathalon, D. H. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00092 · Cited by 85
Carty, N., Xu, J., Kurup, P., Brouillette, J., Goody, S. M. G., Austin, D. R., Yuan, P., Chen, G., Correa, P. R., Haroutunian, V., et al. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.63 · Cited by 80
Altered Amygdala Connectivity Within the Social Brain in Schizophrenia
Mukherjee, P., Whalley, H. C., McKirdy, J. W., Sprengelmeyer, R., Young, A. W., McIntosh, A. M., Lawrie, S. M., & Hall, J. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt086 · Cited by 84
Morrison, P. D., Nottage, J. F., Stone, J. M., Bhattacharyya, S., Tunstall, N., Brenneisen, R., Holt, D., Wilson, D., Sumich, A. L., McGuire, P. K., et al. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.222 · Cited by 83
Dopamine, fronto-striato-thalamic circuits and risk for psychosis.
Dandash, O., Pantelis, C., & Fornito, A. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2016.08.020 · Cited by 89
Role of GABAA receptors in cognition
Möhler, H. (2009) · Biochemical Society Transactions · doi:10.1042/bst0371328 · Cited by 79
八尾坂, 修., Chan, R. C. K., & 柏木, 智. (2009) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2009.08.020 · Cited by 79
Comprehensive review: Computational modelling of schizophrenia
Valton, V., Romaniuk, L., Steele, J. D., Lawrie, S. M., & Seriès, P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.08.022 · Cited by 82
Talbot, K., Louneva, N., Cohen, J. W., Kazi, H., Blake, D. J., & Arnold, S. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016886 · Cited by 81
Brent, B. K., Seidman, L. J., Thermenos, H. W., Holt, D. J., & Keshavan, M. S. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.07.038 · Cited by 81
Shao, J., Meng, C., Tahmasian, M., Brandl, F., Yang, Q., Luo, G., Luo, C., Yao, D., Gao, L., Riedl, V., et al. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9838-8 · Cited by 77
Emotion and Theory of Mind in Schizophrenia—Investigating the Role of the Cerebellum
Mothersill, O., Charlotte, K.-Z., & Donohoe, G. J. (2015) · The Cerebellum · doi:10.1007/s12311-015-0696-2 · Cited by 83
Consistent spectral predictors for dynamic causal models of steady-state responses
Moran, R. J., Stephan, K. E., Dolan, R. J., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.012 · Cited by 75
Self-citationSun, Y., Collinson, S. L., Suckling, J., & Sim, K. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby077 · Cited by 77
Horga, G., Cassidy, C., Xu, X., Moore, H. M., Slifstein, M., Snellenberg, J. X. V., & Abi‐Dargham, A. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0178 · Cited by 76
Keshavan, M. S., Mehta, U. M., Padmanabhan, J. L., & Shah, J. L. (2015) · Development and Psychopathology · doi:10.1017/s095457941500019x · Cited by 79
Grey and white matter microstructure is associated with polygenic risk for schizophrenia
Stauffer, E.-M., Bethlehem, R. A. I., Warrier, V., Murray, G. K., Romero-García, R., Seidlitz, J., & Bullmore, E. T. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01260-5 · Cited by 75
Gene expression abnormalities and oligodendrocyte deficits in the internal capsule in schizophrenia
Kerns, D. C., Vong, G. S., Barley, K. M., Dracheva, S. M., Katsel, P., Casaccia, P., Haroutunian, V. H., & Byne, W. M. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.04.012 · Cited by 75
Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest
Ma, S., Calhoun, V. D., Eichele, T., Du, W., & Adalı, T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.048 · Cited by 75
Deficient multisensory integration in schizophrenia: An event-related potential study
Stekelenburg, J. J., Maes, J. P., Gool, A. R. V., Sitskoorn, M. M., & Vroomen, J. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.04.038 · Cited by 74
Neural circuit dysfunction in schizophrenia: Insights from animal models
Sigurdsson, T. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.059 · Cited by 77
Phillips, W. A., & Silverstein, S. M. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00307 · Cited by 75
Functional Brain Imaging in Schizophrenia: Selected Results and Methods
Brown, G. G., & Thompson, W. K. (2010) · Current topics in behavioral neurosciences · doi:10.1007/7854_2010_54 · Cited by 75
Similarities and Differences in Borderline Personality Disorder and Schizophrenia With Voice Hearing
Tschoeke, S., Steinert, T., Flammer, E., & Uhlmann, C. (2014) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000000159 · Cited by 82
Dysconnectivity in the Frontoparietal Attention Network in Schizophrenia
Roiser, J. P., Wigton, R. L., Kilner, J. M., Méndez, M. A., Hon, N., Friston, K. J., & Joyce, E. M. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00176 · Cited by 78
Self-citationResting-state network connectivity and metastability predict clinical symptoms in schizophrenia
Lee, W. H., Doucet, G. E., Leibu, E., & Frangou, S. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.029 · Cited by 74
Gerretsen, P., Menon, M., Mamo, D. C., Fervaha, G., Remington, G., Pollock, B. G., & Graff-Guerrero, A. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.015 · Cited by 73
Chen, S.-Y., Huang, P.-H., & Cheng, H.-J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1018128108 · Cited by 73
Vucurovic, K., Caillies, S., & Kaladjian, A. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.10.018 · Cited by 75
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 79
Self-citationAn in vitro method to manipulate the direction and functional strength between neural populations
Pan, L., Alagapan, S., Franca, E., Leondopulos, S. S., DeMarse, T. B., Brewer, G. J., & Wheeler, B. C. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00032 · Cited by 70
Top-down modulation of the perception of other people in schizophrenia and autism
Cook, J. L., Barbalat, G., & Blakemore, S. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00175 · Cited by 86
Atypical processing of uncertainty in individuals at risk for psychosis
Cole, D. M., Diaconescu, A. O., Pfeiffer, U. J., Brodersen, K. H., Mathys, C. D., Julkowski, D., Ruhrmann, S., Schilbach, L., Tittgemeyer, M., Vogeley, K. T., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102239 · Cited by 72
Self-citationGao, W., Yang, S.-S., Mack, N. R., & Chamberlin, L. A. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01196-w · Cited by 74
Alural, B., Genç, Ş., & Haggarty, S. J. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.03.010 · Cited by 76
Bois, C., Whalley, H. C., McIntosh, A. M., & Lawrie, S. M. (2014) · Journal of Psychopharmacology · doi:10.1177/0269881114541015 · Cited by 72
Personality Disorders in Time of Pandemic
Preti, E., Pierro, R. D., Fanti, E., Madeddu, F., & Calati, R. (2020) · Current Psychiatry Reports · doi:10.1007/s11920-020-01204-w · Cited by 74
It’s All in the Rhythm: The Role of Cannabinoids in Neural Oscillations and Psychosis
Skosnik, P. D., Cortes-Briones, J., & Hajós, M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.011 · Cited by 72
Ji, C., Müller, V. I., Dukart, J., Hoffstaedter, F., Baker, J. T., Holmes, A. J., Vatansever, D., Nickl‐Jockschat, T., Liu, X., Derntl, B., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.024 · Cited by 67
Collins, M. A., Ji, J. L., Chung, Y., Lympus, C. A., Afriyie-Agyemang, Y., Addington, J., Goodyear, B. G., Bearden, C. E., Cadenhead, K. S., Mirzakhanian, H., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01870-7 · Cited by 67
Impaired pantomime in schizophrenia: Association with frontal lobe function
Walther, S., Vanbellingen, T., Müri, R. M., Strik, W. K., & Bohlhalter, S. (2012) · Cortex · doi:10.1016/j.cortex.2011.12.008 · Cited by 74
Zhang, T., Zhu, L., Ni, T., Liu, D., Chen, G., Yan, Z., Lin, H., Guan, F., & Rice, J. P. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.09.020 · Cited by 69
Cognitive deficit in schizophrenia: an overview.
Mihaljević-Peleš, A., Janović, M. B., Šagud, M., Živković, M., Janović, Š., & Jevtović, S. (2019) · PubMed · Cited by 69
van Tol, M., van der Meer, L., Bruggeman, R., Modinos, G., Knegtering, H., & Aleman, A. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.12.008 · Cited by 71
Chang, X., Xi, Y., Cui, L., Wang, H., Sun, J., Zhu, Y., Huang, P., Collin, G., Liu, K., Xi, M., et al. (2015) · Scientific Reports · doi:10.1038/srep11218 · Cited by 70
Simon, J. J., Cordeiro, S. A., Weber, M. D., Friederich, H., Wolf, R. C., Weisbrod, M., & Kaiser, S. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv067 · Cited by 77
Schmidt, A., Diwadkar, V. A., Smieskova, R., Harrisberger, F., Lang, U. E., McGuire, P. K., Fusar‐Poli, P., & Borgwardt, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01047 · Cited by 73
Ding, Y., Ou, Y., Pan, P., Shan, X., Chen, J., Liu, F., Zhao, J., & Guo, W. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.11.009 · Cited by 70
Partial support for ZNF804A genotype‐dependent alterations in prefrontal connectivity
Paulus, F. M., Krach, S., Bedenbender, J., Pyka, M., Sommer, J. B., Krug, A., Knake, S., Nöthen, M. M., Witt, S. H., Rietschel, M., et al. (2011) · Human Brain Mapping · doi:10.1002/hbm.21434 · Cited by 68
Enlarged temporal integration window in schizophrenia indicated by the double-flash illusion
Haß, K., Sinke, C., Reese, T., Roy, M., Wiswede, D., Dillo, W., Oranje, B., & Szycik, G. R. (2017) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2017.1287693 · Cited by 74
Hirvonen, J., Wibral, M., Palva, J. M., Singer, W., Uhlhaas, P. J., & Palva, S. (2017) · eNeuro · doi:10.1523/eneuro.0338-17.2017 · Cited by 67
Detecting microstructural deviations in individuals with deep diffusion MRI tractometry
Chamberland, M., Genc, S., Tax, C. M. W., Shastin, D., Koller, K., Raven, E. P., Cunningham, A. C., Doherty, J. L., van den Bree, M. B. M., Parker, G. D., et al. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00126-8 · Cited by 67
Chopra, S., Francey, S. M., O'Donoghue, B. N., Sabaroedin, K., Arnatkevičiūtė, A., Cropley, V., Nelson, B., Graham, J. R., Baldwin, L., Tahtalian, S., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.1422 · Cited by 66
Narr, K. L., & Leaver, A. M. (2015) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000157 · Cited by 67
Hasan, A., Falkai, P., & Wobrock, T. (2013) · Current Medicinal Chemistry · doi:10.2174/0929867311320030012 · Cited by 69
Ćurĉić‐Blake, B., van der Meer, L., Pijnenborg, G. H. M., David, A. S., & Aleman, A. (2015) · Human Brain Mapping · doi:10.1002/hbm.22955 · Cited by 68
Neuroadaptive Bayesian Optimization and Hypothesis Testing
Lorenz, R., Hampshire, A., & Leech, R. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.006 · Cited by 69
The Neuroimmunology of Schizophrenia
Annya, M., Smyth, Stephen, M., & Lawrie, S. M. (2013) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2013.11.3.107 · Cited by 68
Bachman, P., Reichenberg, A., Rice, P. G., Woolsey, M. D., Chaves, O. C., Martinez, D., Maples, N. J., Velligan, D. I., & Glahn, D. C. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.02.1029 · Cited by 67
Clos, M., Diederen, K. M. J., Meijering, A. L., Sommer, I. E., & Eickhoff, S. B. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0519-5 · Cited by 70
Left dorsolateral prefrontal cortex dysfunction in medication-naive schizophrenia
van Veelen, N. M. J., Vink, M., Ramsey, N. F., & Kahn, R. S. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.07.004 · Cited by 66
Modular‐level alterations of structure–function coupling in schizophrenia connectome
Sun, Y., Dai, Z., Li, J., Collinson, S. L., & Sim, K. (2016) · Human Brain Mapping · doi:10.1002/hbm.23501 · Cited by 65
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
Electrophysiological assessment of auditory stimulus-specific plasticity in schizophrenia
Mears, R. P., & Spencer, K. M. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.12.016 · Cited by 64
Effects of Nicotine on the Neurophysiological and Behavioral Effects of Ketamine in Humans
Mathalon, D. H., Ahn, K.-H., Perry, E. B., Cho, H. S., Roach, B. J., Blais, R. K., Bhakta, S. G., Ranganathan, M., Ford, J. M., & D’Souza, D. C. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00003 · Cited by 64
Hasan, A., Wobrock, T., Grefkes, C., Labusga, M., Levold, K., Schneider-Axmann, T., Falkai, P., Müller, H., Klosterkötter, J., & Bechdolf, A. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.005 · Cited by 64
Benetti, S., Pettersson‐Yeo, W., Allen, P., Catani, M., Williams, S., Barsaglini, A., Kambeitz‐Ilankovic, L., McGuire, P. K., & Mechelli, A. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt172 · Cited by 67
McPhie, D. L., Nehme, R., Ravichandran, C. T., Babb, S. M., Ghosh, S. D., Staskus, A., Kalinowski, A., Kaur, R., Douvaras, P., Du, F., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0284-6 · Cited by 65
Disruption of Conscious Access in Schizophrenia
Berkovitch, L., Dehaene, S., & Gaillard, R. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.08.006 · Cited by 60
Cui, L., Liu, J., Wang, L., Li, C., Xi, Y., Guo, F., Wang, H., Zhang, L.-C., Liu, W.-M., He, H. G., et al. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00589 · Cited by 65
Gleich, T., Deserno, L., Lorenz, R. C., Boehme, R., Pankow, A., Buchert, R., Kuhn, S., Heinz, A., Schlagenhauf, F., & Gallinat, J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0329-15.2015 · Cited by 62
Intra- and Inter-Frequency Brain Network Structure in Health and Schizophrenia
Siebenhühner, F., Weiss, S. A., Coppola, R., Weinberger, D. R., & Bassett, D. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072351 · Cited by 63
Overcoming Rest–Task Divide—Abnormal Temporospatial Dynamics and Its Cognition in Schizophrenia
Northoff, G., & Gómez‐Pilar, J. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa178 · Cited by 61
Ottet, M.-C., Schaer, M., Debbané, M., Cammoun, L., Thiran, J., & Eliez, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00402 · Cited by 66
Dual-process theory, conflict processing, and delusional belief
Bronstein, M. V., Pennycook, G., Joormann, J., Corlett, P. R., & Cannon, T. D. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.101748 · Cited by 68
Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack
Atluri, G., Padmanabhan, K., Fang, G., Steinbach, M. S., Petrella, J. R., Lim, K. O., MacDonald, A. W., Samatova, N. F., Doraiswamy, P. M., & Kumar, V. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.07.004 · Cited by 61
Cerebellar Coordination of Neuronal Communication in Cerebral Cortex
McAfee, S. S., Liu, Y., Sillitoe, R. V., & Heck, D. H. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.781527 · Cited by 71
Electrophysiological insights into connectivity anomalies in schizophrenia: a systematic review
Maran, M., Grent-‘t-Jong, T., & Uhlhaas, P. J. (2016) · Neuropsychiatric Electrophysiology · doi:10.1186/s40810-016-0020-5 · Cited by 62
Evaluation of functional connectivity in subdivisions of the thalamus in schizophrenia
Gong, J., Luo, C., Li, X., Jiang, S., Khundrakpam, B. S., Duan, M., Chen, X., & Yao, D. (2019) · The British Journal of Psychiatry · doi:10.1192/bjp.2018.299 · Cited by 60
Principles and open questions in functional brain network reconstruction
Korhonen, O., Zanin, M., & Papo, D. (2021) · Human Brain Mapping · doi:10.1002/hbm.25462 · Cited by 59
A sensorimotor control framework for understanding emotional communication and regulation
Williams, J. H. G., Huggins, C. F., Zupan, B., Willis, M. L., Rheenen, T. E. V., Sato, W., Palermo, R., Ortner, C. N. M., Krippl, M., Kret, M. E., et al. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.02.014 · Cited by 60
Synaptic Plasticity and Memory
El-Gaby, M., Shipton, O. A., & Paulsen, O. (2014) · The Neuroscientist · doi:10.1177/1073858414550658 · Cited by 63
Using neuroimaging to help predict the onset of psychosis
Gifford, G., Crossley, N. A., Fusar‐Poli, P., Schnack, H. G., Kahn, R. S., Koutsouleris, N., Cannon, T. D., & McGuire, P. K. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.075 · Cited by 62
Ramos‐Miguel, A., Beasley, C. L., Dwork, A. J., Mann, J. J., Rosoklija, G. B., Barr, A. M., & Honer, W. G. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.12.012 · Cited by 58
Littow, H., Huossa, V., Karjalainen, S., Jääskeläinen, E., Haapea, M., Miettunen, J., Tervonen, O. A., Isohanni, M. K., Nikkinen, J., Veijola, J. M., et al. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00026 · Cited by 64
Striatal dopamine, reward, and decision making in schizophrenia
Deserno, L., Schlagenhauf, F., & Heinz, A. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.1/ldeserno · Cited by 58
On Human Brain Networks in Health and Disease
Braun, U., Muldoon, S. F., & Bassett, D. S. (2015) · Wiley eBooks · doi:10.1002/9780470015902.a0025783 · Cited by 62
Green tea extract enhances parieto-frontal connectivity during working memory processing
Schmidt, A., Hammann, F., Wölnerhanssen, B., Meyer-Gerspach, A. C., Drewe, J., Beglinger, C., & Borgwardt, S. (2014) · Psychopharmacology · doi:10.1007/s00213-014-3526-1 · Cited by 57
Li, J., Zhu, L., Guan, F., Yan, Z., Liu, D., Han, W., & Chen, T. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.09.005 · Cited by 60
Yang, Z., Jian, L., Qiu, H., Zhang, C., Cheng, S., Ji, J., Li, T., Wang, Y., Li, J., & Li, K. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01646-7 · Cited by 57
Gerchen, M. F., Bernal‐Casas, D., & Kirsch, P. (2014) · Human Brain Mapping · doi:10.1002/hbm.22532 · Cited by 61
Molecular Links between Mitochondrial Dysfunctions and Schizophrenia
Park, C., & Park, S. K. (2012) · Molecules and Cells · doi:10.1007/s10059-012-2284-3 · Cited by 57
Winchester, C. L., Ohzeki, H., Vouyiouklis, D. A., Thompson, R., Penninger, J. M., Yamagami, K., Norrie, J. D., Hunter, R., Pratt, J. A., & MORRIS, B. J. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds331 · Cited by 57
Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience
Feeney, E. J., Groman, S. M., Taylor, J. R., & Corlett, P. R. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw194 · Cited by 51
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
