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A Dynamical Systems Hypothesis of Schizophrenia
Open accessAbstract
We propose a top-down approach to the symptoms of schizophrenia based on a statistical dynamical framework. We show that a reduced depth in the basins of attraction of cortical attractor states destabilizes the activity at the network level due to the constant statistical fluctuations caused by the stochastic spiking of neurons. In integrate-and-fire network simulations, a decrease in the NMDA receptor conductances, which reduces the depth of the attractor basins, decreases the stability of short-term memory states and increases distractibility. The cognitive symptoms of schizophrenia such as distractibility, working memory deficits, or poor attention could be caused by this instability of attractor states in prefrontal cortical networks. Lower firing rates are also produced, and in the orbitofrontal and anterior cingulate cortex could account for the negative symptoms, including a reduction of emotions. Decreasing the GABA as well as the NMDA conductances produces not only switches between the attractor states, but also jumps from spontaneous activity into one of the attractors. We relate this to the positive symptoms of schizophrenia, including delusions, paranoia, and hallucinations, which may arise because the basins of attraction are shallow and there is instability in temporal lobe semantic memory networks, leading thoughts to move too freely round the attractor energy landscape.
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“In addition, the discrete-pool model used in Loh et al. (2007) cannot capture features that emerge naturally from a continuous model described here: Broadening of WM representations, smooth random drift of memory, and sensitivity to target-distractor similarity.”
From Linking microcircuit dysfunction to cognitive impairment: Effects of disinhibition associated with schizophrenia in a cortical working memory model (2014) · cites this paper as Loh et al. 2007
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“Increased miss rate would be expected if the persistent activity pattern was completely lost in the target cells (Loh et al. 2007), or a bump spontaneously appeared in nontarget cells, interfering with target encoding (Cano-Colino and Compte 2012).”
From Linking microcircuit dysfunction to cognitive impairment: Effects of disinhibition associated with schizophrenia in a cortical working memory model (2014) · cites this paper as Loh et al. 2007
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Introduction to the theory of neural computation
Hertz, J., Krogh, A., & Palmer, R. G. (1994) · Neural Networks · doi:10.1016/0893-6080(94)90014-0 · Cited by 6,410
What are the functional consequences of neurocognitive deficits in schizophrenia?
(1996) · American Journal of Psychiatry · doi:10.1176/ajp.153.3.321 · Cited by 3,516
Cortical inhibitory neurons and schizophrenia
Lewis, D. A., Hashimoto, T., & Volk, D. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1648 · Cited by 2,297
Amit, D. J. (1989) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623257 · Cited by 2,261
The principal features and mechanisms of dopamine modulation in the prefrontal cortex
Seamans, J. K., & Yang, C. R. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.05.006 · Cited by 1,592
Context, cortex, and dopamine: A connectionist approach to behavior and biology in schizophrenia.
Cohen, J. D., & Servan‐Schreiber, D. (1992) · Psychological Review · doi:10.1037/0033-295x.99.1.45 · Cited by 1,513
The Symptoms of Chronic Schizophrenia
Liddle, P. F. (1987) · The British Journal of Psychiatry · doi:10.1192/bjp.151.2.145 · Cited by 1,461
D1 Dopamine Receptors in Prefrontal Cortex: Involvement in Working Memory
Sawaguchi, T., & Goldman-Rakic, P. S. (1991) · Science · doi:10.1126/science.1825731 · Cited by 1,364
Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242
Introduction to Theoretical Neurobiology
Tuckwell, H. C. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623202 · Cited by 1,174
Working memory dysfunction in schizophrenia
(1994) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.6.4.348 · Cited by 1,068
Synaptic reverberation underlying mnemonic persistent activity
Wang, X.-J. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01868-3 · Cited by 1,059
Miyamoto, S., Duncan, G. E., Marx, C. E., & Lieberman, J. A. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001556 · Cited by 988
Milnor, J. (1985) · Communications in Mathematical Physics · doi:10.1007/bf01212280 · Cited by 971
The Emerging Role of Glutamate in the Pathophysiology and Treatment of Schizophrenia
GOFF, D. C., & Coyle, J. T. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.9.1367 · Cited by 926
Neural Networks and Brain Function
Rolls, E. T., & Treves, A. (1997) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198524328.001.0001 · Cited by 885
Self-citationMueser, K. T., & McGurk, S. R. (2004) · The Lancet · doi:10.1016/s0140-6736(04)16458-1 · Cited by 876
Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory
Wang, X.-J. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09587.1999 · Cited by 859
Synaptic plasticity and dysconnection in schizophrenia
Stephan, K. E., Baldeweg, T., & Friston, K. J. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.10.005 · Cited by 841
A Network Model of Catecholamine Effects: Gain, Signal-to-Noise Ratio, and Behavior
Servan‐Schreiber, D., Printz, H., & Cohen, J. D. (1990) · Science · doi:10.1126/science.2392679 · Cited by 783
Neurocomputational models of working memory
Durstewitz, D., Seamans, J. K., & B, T. J. S. A. (2000) · Nature Neuroscience · doi:10.1038/81460 · Cited by 729
Decreased prefrontal dopamine D1 receptors in schizophrenia revealed by PET
Okubo, Y., Suhara, T., Suzuki, K., Kobayashi, K., Inoue, O., Terasaki, O., Someya, Y., Sassa, T., Sudo, Y., Matsushima, E., et al. (1997) · Nature · doi:10.1038/385634a0 · Cited by 710
NMDA Receptor Function and Human Cognition: The Effects of Ketamine in Healthy Volunteers
Malhotra, A. K. (1996) · Neuropsychopharmacology · doi:10.1016/0893-133x(95)00137-3 · Cited by 692
Mapping auditory hallucinations in schizophrenia using functional magnetic resonance imaging
Shergill, S. S., Brammer, M. J., Williams, S. C. R., Murray, R. M., & McGuire, P. K. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.11.1033 · Cited by 666 · cited 2×
“Consistent with this, neuroimaging studies suggest higher activation, especially in areas of the temporal lobe [17,18,35].”
BackgroundResultABNORMALITIES OF CEREBRAL BLOOD FLOW DISTRIBUTION IN PATIENTS WITH CHRONIC SCHIZOPHRENIA
Ingvar, D. H., & FRANZÉN, G. (1974) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1974.tb09707.x · Cited by 663
Sawaguchi, T., & Goldman‐Rakic, P. S. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.71.2.515 · Cited by 649
Dopamine-Mediated Stabilization of Delay-Period Activity in a Network Model of Prefrontal Cortex
Durstewitz, D., Seamans, J. K., & B, T. J. S. A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.3.1733 · Cited by 626
Brunel, N., & Wang, X.-J. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1011204814320 · Cited by 620
Ketamine-Induced NMDA Receptor Hypofunction as a Model of Memory Impairment and Psychosis
Newcomer, J. W. (1999) · Neuropsychopharmacology · doi:10.1016/s0893-133x(98)00067-0 · Cited by 611
Genes, dopamine and cortical signal-to-noise ratio in schizophrenia
Winterer, G., & Weinberger, D. R. (2004) · Trends in Neurosciences · doi:10.1016/j.tins.2004.08.002 · Cited by 610
Lieberman, J., Perkins, D., Belger, A., Chakos, M., Jarskog, F., Boteva, K., & Gilmore, J. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01303-8 · Cited by 608
Voltage dependence of NMDA-activated macroscopic conductances predicted by single-channel kinetics
Jahr, C., & Stevens, C. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-09-03178.1990 · Cited by 569
Computational Neuroscience of Vision
Rolls, E. T., & Deco, G. (2001) · doi:10.1093/acprof:oso/9780198524885.001.0001 · Cited by 554
Self-citationTargeting the dopamine D1 receptor in schizophrenia: insights for cognitive dysfunction
Goldman-Rakic, P., Castner, S., Svensson, T., Siever, L., & Williams, G. (2004) · Psychopharmacology · doi:10.1007/s00213-004-1793-y · Cited by 544
Brunel, N., & Wang, X. (2014) · Journal of Computational Neuroscience · doi:10.1007/s10827-014-0506-8 · Cited by 538
Cognition and control in schizophrenia: a computational model of dopamine and prefrontal function
Braver, T. S., Barch, D. M., & Cohen, J. D. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00116-x · Cited by 507
Bidirectional dopamine modulation of GABAergic inhibition in prefrontal cortical pyramidal neurons
Seamans, J. K., Gorelova, N., Durstewitz, D., & Yang, C. R. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-10-03628.2001 · Cited by 507
Bubbling of attractors and synchronisation of chaotic oscillators
Ashwin, P., Buescu, J., & Stewart, I. N. (1994) · Physics Letters A · doi:10.1016/0375-9601(94)90947-4 · Cited by 489
Biologically Based Computational Models of High-Level Cognition
O’Reilly, R. C. (2006) · Science · doi:10.1126/science.1127242 · Cited by 461
Converging Evidence of NMDA Receptor Hypofunction in the Pathophysiology of Schizophrenia
Coyle, J. T., Tsai, G. E., & GOFF, D. C. (2003) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1300.020 · Cited by 443
Goldman‐Rakic, P. S. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00130-4 · Cited by 421
Wang, X.-J., Tegner, J. N., Constantinidis, C., & Goldman‐Rakic, P. S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0305337101 · Cited by 405
Functional hypofrontality and working memory dysfunction in schizophrenia
Carter, C. S., Perlstein, W., Ganguli, R., Brar, J., Mintun, M., & Cohen, J. D. (1998) · American Journal of Psychiatry · doi:10.1176/ajp.155.9.1285 · Cited by 403
Castner, S. A., Williams, G. V., & Goldman, P. S. (2000) · Science · doi:10.1126/science.287.5460.2020 · Cited by 398
Negative Symptoms and Hypofrontality in Chronic Schizophrenia
Wolkin, A. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820120047007 · Cited by 394
Strange feelings: Do amygdala abnormalities dysregulate the emotional brain in schizophrenia?
Aleman, A., & Kahn, R. S. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.11.005 · Cited by 362
Dopamine supersensitivity correlates with D2 High states, implying many paths to psychosis
Seeman, P. M., Weinshenker, D., Quirion, R., Srivastava, L. K., Bhardwaj, S. K., Grandy, D. K., Premont, R. T., Sotnikova, T. D., Boksa, P., El-Ghundi, M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409766102 · Cited by 353
From attractor to chaotic saddle: a tale of transverse instability
Ashwin, P., Buescu, J., & Stewart, I. N. (1996) · Nonlinearity · doi:10.1088/0951-7715/9/3/006 · Cited by 348
Psychosis pathways converge via D2High dopamine receptors
Seeman, P. M., Schwarz, J., Chen, J., Szechtman, H., Perreault, M. L., McKnight, G. S., Roder, J., Quirion, R., Boksa, P., Srivastava, L. K., et al. (2006) · Synapse · doi:10.1002/syn.20303 · Cited by 333
Attention, short-term memory, and action selection: A unifying theory
Deco, G., & Rolls, E. T. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.08.004 · Cited by 324
Self-citationWilson, F. A. W., ÓScalaidhe, S. P., & Goldman‐Rakic, P. S. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.9.4009 · Cited by 303
Trantham‐Davidson, H., Neely, L. C., Lavı́n, A., & Seamans, J. K. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.3179-04.2004 · Cited by 284
Schizophrenia: More dopamine, more D 2 receptors
Seeman, P., & Kapur, S. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.14.7673 · Cited by 279
The computational role of dopamine D1 receptors in working memory
Durstewitz, D., & Seamans, J. K. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00049-7 · Cited by 272
Prefrontal Broadband Noise, Working Memory, and Genetic Risk for Schizophrenia
Winterer, G., Coppola, R., Goldberg, T. E., Egan, M. F., Jones, D. W., Sanchez, C. E., & Weinberger, D. R. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.3.490 · Cited by 246
A Neurocomputational Theory of the Dopaminergic Modulation of Working Memory Functions
Durstewitz, D., Kelc, M., & Güntürkün, O. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-07-02807.1999 · Cited by 229
The Neurochemical Circuitry of Schizophrenia
Carlsson, A. (2006) · Pharmacopsychiatry · doi:10.1055/s-2006-931483 · Cited by 199
Unit activity in monkey parietal cortex related to haptic perception and temporary memory
Koch, K. W., & Fuster, J. M. (1989) · Experimental Brain Research · doi:10.1007/bf00247889 · Cited by 191
Attention and working memory: a dynamical model of neuronal activity in the prefrontal cortex
Deco, G., & Rolls, E. T. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02956.x · Cited by 189
Self-citationWinterer, G., Ziller, M., Dorn, H., Frick, K., Mulert, C., Wuebben, Y., Herrmann, W. M., & Coppola, R. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00322-3 · Cited by 187
Decision‐making and Weber's law: a neurophysiological model
Deco, G., & Rolls, E. T. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.04940.x · Cited by 181
Self-citationLong-term potentiation of exogenous glutamate responses at single dendritic spines
Bagal, A. A., Kao, J. P. Y., Tang, C.-M., & Thompson, S. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501956102 · Cited by 169
Modeling the Early Course of Schizophrenia
Hafner, H., Maurer, K., Löffler, W., der Heiden, W. A., Hambrecht, M., & Schultze‐Lutter, F. (2003) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a007008 · Cited by 167
Neuropsychological deficits associated with schizophrenic syndromes
Baxter, R. D., & Liddle, P. F. (1998) · Schizophrenia Research · doi:10.1016/s0920-9964(97)00152-7 · Cited by 130
Deco, G., Rolls, E. T., & Horwitz, B. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/089892904323057380 · Cited by 126
Self-citationNeuroimaging of hallucinations: a review of the literature
Weiss, A. P., & Heckers, S. (1999) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(99)00041-4 · Cited by 112
Dominance of Milnor Attractors and Noise-Induced Selection in a Multiattractor System
Kaneko, K. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.2736 · Cited by 109
Mesolimbic Activity Associated with Psychosis in Schizophrenia: Symptom‐specific PET Studies
Epstein, J., Stern, E. R., & Silbersweig, D. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb09289.x · Cited by 105
Kaneko, K. (1998) · Physica D Nonlinear Phenomena · doi:10.1016/s0167-2789(98)00205-x · Cited by 89
Finite-size dynamics of inhibitory and excitatory interacting spiking neurons
Mattia, M., & Giudice, P. D. (2004) · Physical Review E · doi:10.1103/physreve.70.052903 · Cited by 82
Antipsychotic and antidepressive effects of second generation antipsychotics
Möller, H. (2005) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-005-0587-5 · Cited by 82
Schizophrenia: Genesis, Receptorology and Current Therapeutics
Capuano, B., Crosby, I. T., & Lloyd, E. J. (2002) · Current Medicinal Chemistry · doi:10.2174/0929867024606939 · Cited by 69
Instability of Prefrontal Signal Processing in Schizophrenia
Winterer, G., Musso, F., Beckmann, C. F., Mattay, V. S., Egan, M. F., Jones, D. W., Callicott, J. H., Coppola, R., & Weinberger, D. R. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1960 · Cited by 61
The neurophysiology and functions of the orbitofrontal cortex
Rolls, E. T. (2006) · doi:10.1093/acprof:oso/9780198565741.003.0005 · Cited by 57
Self-citationRenart, A., Moreno‐Bote, R., de la Rocha, J., Parga, N., & Rolls, E. T. (2001) · Neurocomputing · doi:10.1016/s0925-2312(01)00548-3 · Cited by 49
Self-citationFunctional brain imaging of symptoms and cognition in schizophrenia
Kircher, T. T. J., & Thienel, R. (2005) · Progress in brain research · doi:10.1016/s0079-6123(05)50022-0 · Cited by 47
The Anterior and Midcingulate Cortices and Reward
Rolls, E. T. (2009) · doi:10.1093/oso/9780198566960.003.0008 · Cited by 47
Self-citationEffective neural response function for collective population states
Mascaro, M., & Amit, D. J. (1999) · Network Computation in Neural Systems · doi:10.1088/0954-898x_10_4_305 · Cited by 39
Possible role of dopamine D1 receptors in schizophrenia
Okuba, Y., Suhara, T., Sudo, Y., & Toru, M. (1997) · Molecular Psychiatry · doi:10.1038/sj.mp.4000281 · Cited by 35
Cerebral changes and cognitive dysfunctions in medication-free schizophrenia – An fMRI study
Scheuerecker, J., Ufer, S., Zipse, M. M., Frodl, T., Koutsouleris, N., Zetzsche, D. A., Wiesmann, M., Albrecht, J., Brückmann, H., Schmitt, G., et al. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2007.04.001 · Cited by 34
Towards Systemic Theories in Biological Psychiatry
Bender, W., Albus, M., Möller, H., & Tretter, F. (2006) · Pharmacopsychiatry · doi:10.1055/s-2006-931482 · Cited by 21
The Complexity of the Dopaminergic Synapses and their Modulation by Antipsychotics
Leuner, K., & Müller, W. E. G. (2006) · Pharmacopsychiatry · doi:10.1055/s-2006-931484 · Cited by 11
Flagged first, then by citations
1 of the 84 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- RollsET 2005 Emotion explained Oxford Oxford University Press 606
- AbelesM 1991 Corticonics New York Cambridge University Press 280
- BraitenbergVSchützA 1991 Anatomy of the cortex Berlin Springer Verlag 249
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Self-citationValue, pleasure and choice in the ventral prefrontal cortex
Grabenhorst, F., & Rolls, E. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.12.004 · Cited by 766
Self-citationDurstewitz, D., & Seamans, J. K. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.05.015 · Cited by 586
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Metadata
- Authors
- Loh, M., Rolls, E. T., & Deco, G.
- Affiliations
- Universitat Pompeu Fabra (ES)
- University of Oxford (GB)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Corresponding author
- Rolls, Edmund T
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-11-09
- Volume
- 3
- Issue
- 11
- Pages
- e228
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC2065887
- OpenAlex
- W2113693127
- Cited by
- 164
- References
- 84
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 5 · 2021: 7 · 2020: 3 · 2019: 8 · 2018: 11 · 2017: 13 · 2016: 5 · 2015: 12 · 2014: 7 · 2013: 12 · 2012: 11
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Boehringer Ingelheim Fonds
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- schizophrenia, dynamical systems, basins of attraction, short-term memory, distractibility, working memory deficits, negative symptoms, positive symptoms, orbitofrontal cortex, anterior cingulate cortex, statistical fluctuations, network stability
- MeSH terms
- Action Potentials, Animals, Brain, Computer Simulation, Humans, Models, Neurological, Nerve Net, Synaptic Transmission, Schizophrenia, Receptors, N-Methyl-D-Aspartate, Receptors, GABA
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