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Thalamic amplification of cortical connectivity sustains attentional control
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Although interactions between the thalamus and cortex are critical for cognitive function, the exact contribution of the thalamus to these interactions remains unclear. Recent studies have shown diverse connectivity patterns across the thalamus, but whether this diversity translates to thalamic functions beyond relaying information to or between cortical regions is unknown. Here we show, by investigating the representation of two rules used to guide attention in the mouse prefrontal cortex (PFC), that the mediodorsal thalamus sustains these representations without relaying categorical information. Specifically, mediodorsal input amplifies local PFC connectivity, enabling rule-specific neural sequences to emerge and thereby maintain rule representations. Consistent with this notion, broadly enhancing PFC excitability diminishes rule specificity and behavioural performance, whereas enhancing mediodorsal excitability improves both. Overall, our results define a previously unknown principle in neuroscience; thalamic control of functional cortical connectivity. This function, which is dissociable from categorical information relay, indicates that the thalamus has a much broader role in cognition than previously thought.
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“Thalamic input amplifies PFC connectivity, sustaining attentional control 24 and enabling sensory selection in divided attention 25.”
From Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: pathophysiological implications (2022) · cites this paper as [24]
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Neocortical excitation/inhibition balance in information processing and social dysfunction
Yizhar, O., Fenno, L. E., Prigge, M., Schneider, F., Davidson, T. J., O’Shea, D. J., Sohal, V. S., Goshen, I., Finkelstein, J., Paz, J. T., et al. (2011) · Nature · doi:10.1038/nature10360 · Cited by 2,454
Context-dependent computation by recurrent dynamics in prefrontal cortex
Mante, V., Sussillo, D., Shenoy, K. V., & Newsome, W. T. (2013) · Nature · doi:10.1038/nature12742 · Cited by 1,910
Anatomical analysis of afferent projections to the medial prefrontal cortex in the rat
Hoover, W. B., & Vertes, R. P. (2007) · Brain Structure and Function · doi:10.1007/s00429-007-0150-4 · Cited by 1,365
The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference
Barnett, L., & Seth, A. K. (2013) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2013.10.018 · Cited by 1,038
The pulvinar regulates information transmission between cortical areas based on attention demands
Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016
Choice-specific sequences in parietal cortex during a virtual-navigation decision task
Harvey, C. D., Coen, P., & Tank, D. W. (2012) · Nature · doi:10.1038/nature10918 · Cited by 951
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846
Synfire Chains and Cortical Songs: Temporal Modules of Cortical Activity
Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, I., Ferster, D., & Yuste, R. (2004) · Science · doi:10.1126/science.1093173 · Cited by 838
Thalamus plays a central role in ongoing cortical functioning
Sherman, S. M. (2016) · Nature Neuroscience · doi:10.1038/nn.4269 · Cited by 809
Research works printed but not linked: 1
- Duda, R. O ., Hart, P. E. & Stork, D. G. Pattern Classification Vol. 18 (Wiley, 2001)
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Li, S., Ou, Y., Liu, H., Dong, Q., Qiu, Y., Teng, Z., Tang, H., Xiang, H., Wu, G., Chen, J., et al. (2026) · CNS Neuroscience & Therapeutics · doi:10.1002/cns.70730 · Cited by 1
Rolón‐Martínez, S., Mendoza, A. J., Angeloni, C. F., Vogler, N. W., Drotos, A. C., Aizenberg, M., Chen, R., Vu, K., Haas, J. S., & Geffen, M. N. (2026) · PLoS Biology · doi:10.1371/journal.pbio.3003693 · Cited by 1
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Mazzoni, N., Kurz, E., Cellini, N., Ciringione, L., Calderan, M., Gallitto, G., de Falco, S., Venuti, P., Zinke, K., Jan Born, A., et al. (2026) · BMC Medicine · doi:10.1186/s12916-026-04771-6 · Cited by 1
Yang, J., He, M., Liu, X., Zhou, J., Zhang, X., Li, J., Shao, X., Feng, F., Guan, Y., Li, W., et al. (2026) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2026.111833 · Cited by 1
Houston, J. R., Rogers, T. D., Kirkpatrick, T., Robison, A. B., Throm, A., Burgess, S. M., Klinge, P. M., Sakaie, K., Vorster, S. J., Luciano, M. G., et al. (2026) · The Cerebellum · doi:10.1007/s12311-026-01991-7 · Cited by 1
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Koster, K. P., & Mo, C. (2026) · Communications Biology · doi:10.1038/s42003-026-10042-0 · Cited by 1
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Hosford, P. S., Mei, H., Tagomori, H., Hayde, C., Aal, M. S. A. A., Tagomori, H., Miho, N., & Schmitt, L. I. (2026) · Neuron · doi:10.1016/j.neuron.2026.04.045 · Cited by 1
Self-citationBrezolin, C. L. D. M., & de Freitas, S. B. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1785088 · Cited by 1
Yu, J., Choi, I. S., Kim, G. H., Bahn, S.-K., Kim, J., Bae, S., Lee, T., Choi, J. H., Kwon, J. S., Kim, M., et al. (2026) · Science Advances · doi:10.1126/sciadv.aee2152 · Cited by 1
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Haladjian, H. H., & Montemayor, C. (2023) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000363 · Cited by 1
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Sun, Z., Chen, G., Gan, J., Tang, Y., Wu, H., Shi, Z., Yi, T., Yang, Y., Liu, S., & Ji, Y. (2024) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.6148 · Cited by 1
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Usta, Y. H., Pulat, G., Ghosheh, M., & Karaman, O. (2017) · Medical Technologies Congress (TIPTEKNO) · doi:10.1109/tiptekno.2017.8238116 · Cited by 1
Langdon, A., & Chaudhuri, R. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14963 · Cited by 2
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Usrey, W. M., & Sherman, S. M. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780197503874.003.0002 · Cited by 1
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Usrey, W. M., & Sherman, S. M. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780197503874.003.0006 · Cited by 1
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Usrey, W. M., & Sherman, S. M. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780197503874.003.0005 · Cited by 1
ghandehari, E. N., Mokhtari, S., & Borhani, K. (2022) · فصلنامه روان شناسی کاربردی · doi:10.52547/apsy.2021.224313.1196 · Cited by 1
Thalamic Bases of Goal-Directed Behaviors
Wolff, M. (2023) · Oxford University Press eBooks · doi:10.1093/med/9780197676158.003.0048 · Cited by 1
Klein, F. J., Vasilev, D., Iwai, R., Watanabe, M., & Totah, N. K. B. (2026) · iScience · doi:10.1016/j.isci.2026.115804 · Cited by 1
Nguyen, R. (2018) · TSpace (University of Toronto) · Cited by 1
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuitsPreprint
Calderon, C. B., Verguts, T., & Frank, M. J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.07.438842 · Cited by 1
Brainstem cholinergic modulation of the thalamocortical activity in urethane anesthetized micePreprint
Hay, Y. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.12.443746 · Cited by 1
Prefrontal cortex neural compensation during an operant devaluation taskPreprint
Fisher, H., Lin, H., May, J., McLean, C., & Pickens, C. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.18.456813 · Cited by 1
Abundancias y nuevas propuestas
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Howell, A. M., Warrington, S., Fonteneau, C., Cho, Y., Sotiropoulos, S. N., Murray, J. D., & Anticevic, A. (2024) · eLife · doi:10.7554/elife.95018.1 · Cited by 1
Metadata
- Authors
- Schmitt, L. I., Wimmer, R. D., Nakajima, M., Happ, M., Mofakham, S., & Halassa, M. M.
- Affiliations
- NYU Langone Health (US)
- Corresponding author
- Halassa, Michael M.
- Venue
- Nature
- Published
- 2017-05
- Volume
- 545
- Issue
- 7653
- Pages
- 219-223
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5570520
- OpenAlex
- W2611485120
- Cited by
- 663
- References
- 42
- Citations by year
- 2026: 51 · 2025: 64 · 2024: 62 · 2023: 64 · 2022: 72 · 2021: 90 · 2020: 66 · 2019: 64 · 2018: 105 · 2017: 24
- FWCI
- 40.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Mental Health (R01MH107680)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- mediodorsal thalamus, prefrontal cortex, cortical connectivity, attentional control, rule representation, thalamocortical interactions, neural sequences, persistent activity
- MeSH terms
- Animals, Attention, Cognition, Male, Neural Pathways, Thalamus, Prefrontal Cortex, Mice, Optogenetics
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