The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Neural circuits subserving behavioral flexibility and their relevance to schizophrenia
Abstract
Impairments in different forms of behavioral flexibility, such as set-shifting and reversal learning, are some of the most reliable cognitive deficits associated with schizophrenia, and have been attributed to a disruption in frontal lobe functioning. However, recent animal studies have highlighted the distinct functional roles that different subcortical systems interconnected with the prefrontal cortex (PFC) play in different forms of behavioral flexibility. This suggests that dysfunction in these circuits also contribute to the cognitive impairments in these processes observed in schizophrenia. The present review summarizes findings from studies that utilize or rodent studies rodents to elucidate the dissociable contributions that prefrontal cortical, striatal, thalamic and dopaminergic systems make to different component processes of behavioral flexibility, with an emphasis on set-shifting functions mediated by the medial PFC. We also review recent work investigating how different manipulations thought to model certain aspects of schizophrenia affect set-shifting and reversal learning. Lastly, we report novel data describing the effects of subchronic ketamine exposure on these forms of flexibility. Ketamine treatment reduced perseverative tendencies during set-shifting, but impaired reversal learning, suggesting a complex disruption of neural circuits related to the nucleus accumbens shell and orbitofrontal cortex. Viewed collectively, these findings further our understand…
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“Extensive research in rodents and non-human primates emphasises the major roles of fronto-striatal circuits in the ability to respond flexibly [34–42].”
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Cites
A review of MRI findings in schizophrenia
Shenton, M. E., Dickey, C. C., Frumin, M., & McCarley, R. W. (2001) · Schizophrenia Research · doi:10.1016/s0920-9964(01)00163-3 · Cited by 2,346
Blockade of NMDA Receptors and Apoptotic Neurodegeneration in the Developing Brain
Ikonomidou, C., Bosch, F., Miksa, M., Bittigau, P., Vöckler, J., Dikranian, K., Tenkova, T. I., Stefovska, V., Turski, L., & Olney, J. W. (1999) · Science · doi:10.1126/science.283.5398.70 · Cited by 2,055
Dissociation in prefrontal cortex of affective and attentional shifts
Dias, R., Robbins, T. W., & Roberts, A. C. (1996) · Nature · doi:10.1038/380069a0 · Cited by 1,527
Medial Frontal Cortex Mediates Perceptual Attentional Set Shifting in the Rat
Birrell, J. M., & Brown, V. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-11-04320.2000 · Cited by 1,421
Monchi, O., Petrides, M., Petre, V., Worsley, K., & Dagher, A. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-19-07733.2001 · Cited by 961
The reduced neuropil hypothesis: a circuit based model of schizophrenia
Selemon, L. D., & Goldman-Rakic, P. S. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(98)00281-9 · Cited by 909
Zahrt, J., Taylor, J. R., Mathew, R. G., & Arnsten, A. F. T. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-21-08528.1997 · Cited by 796
Meyer, U., Nyffeler, M., Engler, A., Urwyler, A., Schedlowski, M., Knuesel, I., Yee, B. K., & Feldon, J. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.0099-06.2006 · Cited by 774
Groenewegen, H. J. (1988) · Neuroscience · doi:10.1016/0306-4522(88)90339-9 · Cited by 732
Cognitive Inflexibility After Prefrontal Serotonin Depletion
Clarke, H. F., Dalley, J. W., Crofts, H. S., Robbins, T. W., & Roberts, A. C. (2004) · Science · doi:10.1126/science.1094987 · Cited by 632
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Self-citationNegrón-Oyarzo, I., Dib, T., Chacana-Véliz, L., Quilodrán, N. L., & Urrutia-Piñones, J. (2024) · Frontiers in Neural Circuits · doi:10.3389/fncir.2024.1286111 · Cited by 7
Nuclear GAPDH in cortical microglia mediates cellular stress-induced cognitive inflexibility
Ramos, A., Ishizuka, K., Hayashida, A., Namkung, H., Hayes, L. N., Srivastava, R., Zhang, M., Kariya, T., Elkins, N., Palen, T., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02553-1 · Cited by 9
Song, W. S., Cha, J. H., Yoon, S. H., Cho, Y. S., Park, K.-Y., & Kim, M. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.11.012 · Cited by 10
Vojtěchová, I., Petrásek, T., Brožka, H., Pištíková, A., Valeš, K., & Stuchlík, A. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.03.020 · Cited by 8
Gallant, S., Welch, L., Martone, P., & Shalev, U. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.04.004 · Cited by 8
Reaction to cocamidopropyl hydroxysultaine, an amphoteric surfactant and conditioner.
Guin, J. D. (2000) · PubMed · Cited by 9
Spike Phase Shift Relative to Beta Oscillations Mediates Modality Selection
Zuo, Y., Huang, Y., Wu, D., Wang, Q., & Wang, Z. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa125 · Cited by 8
Pittaras, E., Hamelin, H., & Granon, S. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.818746 · Cited by 12
Panzer, É., Olmo, I. G., de Vasconcelos, A. P., Stéphan, A., & Cassel, J. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105762 · Cited by 9
Wesierska, M., Svoboda, J., & Stuchlı́k, A. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.03.011 · Cited by 8
Minchew, H. M., Radabaugh, H. L., LaPorte, M. J., Free, K. E., B, J. P. C. A., & Bondi, C. O. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174174 · Cited by 9
Lhost, J., Moré, S., Watabe, I., Louber, D., Ouagazzal, A., Liberge, M., & Amalric, M. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.09.026 · Cited by 11
Gornicka-Pawlak, E., Janowski, M., Jabłońska, A., Sypecka, J., & Domańska‐Janik, K. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.03.061 · Cited by 8
Troudet, R., Detrait, E., Hanon, É., & Lamberty, Y. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.08.012 · Cited by 9
Clark, E., Antoniak, K., Feniquito, A., & Dringenberg, H. C. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.11.032 · Cited by 8
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Herkströter, F., Zahedi, A., Standke, I., Dannlowski, U., Lencer, R., Schubotz, R. I., & Trempler, I. (2024) · Psychophysiology · doi:10.1111/psyp.14596 · Cited by 8
McCarthy, D. M., Bell, G. A., Cannon, E. N., Mueller, K. A., Huizenga, M. N., Sadri‐Vakili, G., Fadool, D. A., & Bhide, P. G. (2016) · Developmental Neuroscience · doi:10.1159/000452739 · Cited by 7
Wallin-Miller, K. G., Kreutz, F., Li, G., & Wood, R. I. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4810-7 · Cited by 7
Auger, M. L., Meccia, J., Galea, L. A. M., & Floresco, S. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1769-z · Cited by 8
Self-citationPickens, C. L., Aurand, L., Hunt, J., & Fisher, H. (2017) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000289 · Cited by 7
Haddon, J. E., Titherage, D., Heckenast, J. R., Carter, J., Owen, M. J., Hall, J., Wilkinson, L. S., & Jones, M. W. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02969-x · Cited by 6
Silva-Cardoso, G. K., & Nobre, M. J. (2021) · Neurochemical Research · doi:10.1007/s11064-021-03300-6 · Cited by 6
Preissmann, D., Bertholet, L., Sierro, G., Cabungcal, J.-H., & Schenk, F. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.04.034 · Cited by 6
Preissmann, D., Depré, M., Schenk, F., & Gisquet-Verrier, P. (2016) · Brain Research · doi:10.1016/j.brainres.2016.07.042 · Cited by 6
Robertson, A. L., Balachandran, R. C., Mahoney, M. M., & Eubig, P. A. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.06.017 · Cited by 7
Strobel, B. K., Schmidt, M. A., Harvey, D. O., & Davis, C. J. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.1052441 · Cited by 5
Incrocci, R. M., Paliarin, F., & Nobre, M. J. (2018) · NeuroToxicology · doi:10.1016/j.neuro.2018.08.013 · Cited by 5
Oginga, F. O., & Mpofana, T. (2023) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2023.1251387 · Cited by 6
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Gervais, N. J., Brake, W. G., & Agnès Lacreuse, A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803592-4.00016-x · Cited by 5
Romanczuk‐Seiferth, N., & Thienel, R. (2013) · Springer eBooks · doi:10.1007/978-3-642-29800-4_22 · Cited by 4
Bortz, D. M., Feistritzer, C., Power, C. C., & Grace, A. A. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01387-1 · Cited by 7
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Kubota, H., Zhang, X., Khalili, M., Zhou, X., Wen, Y., & Nagai, T. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26115184 · Cited by 3
Rezaee, A. R., Hosseini, S. R., & Firoozabadi, A. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06979-x · Cited by 4
Neese, S. L., Korol, D. L., & Schantz, S. L. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.08.008 · Cited by 3
Malenínská, K., Janikova, M., Radostová, D., Vojtěchová, I., Petrásek, T., Kirdajová, D., Anděrová, M., Svoboda, J., & Stuchlı́k, A. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113678 · Cited by 3
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Flintoff, J. M., Alexander, S., Kesby, J. P., & Burne, T. H. J. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1303728 · Cited by 3
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Melugin, P. R., Wu, F., Munoz, C., Phensy, A. J., Pradhan, G., Luo, Y., Nofal, A., Manepalli, R., & Kroener, S. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109062 · Cited by 2
Bright, Y., Maas, D. A., Verheij, M. M. M., Paladini, M. S., Amatdjais‐Groenen, H. I. V., Molteni, R., Riva, M. A., Martens, G. J. M., & Homberg, J. R. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230720122354 · Cited by 2
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Bruno, J. P. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105004 · Cited by 2
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Sumiyoshi, T., & Enomoto, T. (2014) · Topics in medicinal chemistry · doi:10.1007/7355_2014_47 · Cited by 2
Self-citationPittman-Polletta, B., Hu, K., & Kocsis, B. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/191882 · Cited by 2
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Frroku, L., Jia, S., Aleshin, S. E., Makesh, S., Böhm, K., Alo, A., Fiebig, T., Gerardy‐Schahn, R., Fendt, M., Thiesler, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.13.643031 · Cited by 2
López‐Hill, X., Richeri, A., McGregor, R., Acuña, A., & Scorza, C. (2019) · Brain Research · doi:10.1016/j.brainres.2019.05.005 · Cited by 1
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Lizunov, A. V., Aa, L., Pyurveev, S. S., Lyakso, E. E., Геннадиевна, П. А., Evdokimova, N. R., Lebedev, V. A., Бычков, Э. Р., & Shabanov, P. D. (2026) · Reviews on Clinical Pharmacology and Drug Therapy · doi:10.17816/rcf692640 · Cited by 1
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Bronson, S. L., & Richtand, N. M. (2011) · Springer eBooks · doi:10.1007/978-94-007-0837-2_12 · Cited by 2
Lutgen, V. (2012) · e-Publications@Marquette (Marquette University) · Cited by 1
den Bakker, H., & Kloosterman, F. (2025) · eLife · doi:10.7554/elife.104254.1 · Cited by 1
Nguyen, J., Byragoni, N., Arinzeh, N., Bortolami, A., Sidoli, S., Russo, S. J., Nestler, E. J., & Torres‐Berrío, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.25.690167 · Cited by 1
Somkuwar, S. S. (2013) · UKnowledge (University of Kentucky)
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Porter‐Stransky, K. A. (2014) · Deep Blue (University of Michigan)
Saulskaya, N. B., & Terekhova, E. A. (2015) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-015-0058-z
Zhang, Y. (2011) · University Library - University of Saskatchewan (University of Saskatchewan)
Self-citationBehavioral predispositions to approach or avoid emotional words in schizophrenia
Sevos, J., Grosselin, A., Fedotova, T., & Massoubre, C. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.04.112
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Ma, L. (2014) · cIRcle (University of British Columbia) · doi:10.14288/1.0167532
Neural Substrates of Learning and Attentive Processes
George, D. N. (2016) · doi:10.1002/9781118650813.ch5
Sykes, L. (2016) · ORCA Online Research @Cardiff (Cardiff University)
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Desai, S. J. (2017) · Scholarship@Western (Western University)
Incrocci, R. M. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.59.2017.tde-12092017-134927
Cardoso, G. K. R. D. S. (2018) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.59.2018.tde-17012018-150816
Uzun, B., & Aydemir, A. (2019) · Springer eBooks · doi:10.1007/978-3-319-28099-8_1611-1
Uzun, B., & Aydemir, A. (2020) · Springer eBooks · doi:10.1007/978-3-319-24612-3_1611
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Ramos, A., Ishizuka, K., Namkung, H., Hayes, L. N., Saito, A., Hayashida, A., Srivastava, R., Elkins, N., Palen, T., Carloni, E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.21.497065
Davis, I. R., Fisher, H., McLean, C., Murray, J., & Pickens, C. L. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2304083
Aguiar, C. L. (2014) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2014.tde-06052024-112835
Kato, S., Sugawara, M., Yamasaki, M., Watanabe, M., Inoue, K., Nakamura, K., Koketsu, D., Chiken, S., Nambu, A., Takada, M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.06.597696
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Nigro, M., Tortorelli, L. S., & Yang, H. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.20.608808 · Cited by 5
den Bakker, H., & Kloosterman, F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.09.610935
den Bakker, H., & Kloosterman, F. (2025) · eLife · doi:10.7554/elife.104254
Bortz, D. M., Obaidi, K., Deldin, A., Weber, D. J., & Torregrossa, M. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.11.669720
Yao, M., Libster, A. M., Desfor, S., Malhotra, F., Castorena, N., Montilla‐Perez, P., & Telese, F. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04091-6
den Bakker, H., & Kloosterman, F. (2025) · eLife · doi:10.7554/elife.104254.2
Cao, T., Johnston, W. R., Christensen, S., Crouse, S., & Sun, Q. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.02.709169
Coordination des actions et des habitudes : approche neurocomportementale chez le rat
Tran‐Tu‐Yen, D. A. S. (2010) · theses.fr (ABES) · doi:10.70675/b4e62359z218dz47e1zb735zbeed5febcf30
Reelin in vulnerability and sex-dependent maturational trajectories of the prefrontal cortex
Silva-Hurtado, T. J. (2021) · theses.fr (ABES) · doi:10.70675/ecf0031ez1ac8z4688za735za4cd9acfc52c
Goutaudier, R. (2022) · theses.fr (ABES) · doi:10.70675/6619b466z54bfz41e3z8a90zf0967825d579
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Ouhaz, Z., Daoudi, H. I., Darfaoui, M., Tait, D. S., Moubarrad, F.-Z. L., Ba-M’hamed, S., Nejmeddine, M., & Bennis, M. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1998199
Metadata
- Authors
- Floresco, S. B., Zhang, Y., & Enomoto, T.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Floresco, Stan B.
- Venue
- Behavioural Brain Research
- Publisher
- Elsevier BV
- Published
- 2009-12-07
- Volume
- 204
- Issue
- 2
- Pages
- 396-409
- ISSN
- 0166-4328 (ISSN-L)
- OpenAlex
- W2013952470
- Cited by
- 298
- References
- 123
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 12 · 2023: 10 · 2022: 17 · 2021: 13 · 2020: 11 · 2019: 9 · 2018: 19 · 2017: 26 · 2016: 32 · 2015: 23 · 2014: 24 · 2013: 25 · 2012: 17
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioural Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- behavioral flexibility, schizophrenia, set-shifting, reversal learning, prefrontal cortex, striatum, thalamus, dopaminergic system, nucleus accumbens shell, orbitofrontal cortex, ketamine, perseveration, cognitive impairment, animal models of schizophrenia, neural circuits
- MeSH terms
- Animals, Corpus Striatum, Humans, Neural Pathways, Problem Solving, Psychomotor Performance, Reversal Learning, Schizophrenia, Schizophrenic Psychology, Thalamus, Prefrontal Cortex, Rats
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