The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Thalamic amplification of cortical connectivity sustains attentional control
Open accessAbstract
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.
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?
In the citing paper
“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]
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
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)
Cited by
Sorted by citations
Items 201–300 of 648
Mofakham, S., Liu, Y., Hensley, A. A., Saadon, J. R., Gammel, T., Cosgrove, M. E., Adachi, J., Mohammad, S., Huang, C., Djurić, P. M., et al. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102215 · Cited by 30
Self-citationFerguson, B. R., Glick, C., & Huguenard, J. R. (2023) · eLife · doi:10.7554/elife.78349 · Cited by 33
Bach, P., Reinhard, I., Bühler, S., Vollstädt‐Klein, S., Kiefer, F., & Koopmann, A. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104385 · Cited by 29
Flexible and specific contributions of thalamic subdivisions to human cognition
Antonucci, L. A., Penzel, N., Pigoni, A., Dominke, C., Kambeitz, J. P., & Pergola, G. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.014 · Cited by 31
Mediodorsal thalamus is required for discrete phases of goal-directed behavior in macaques
Wicker, E., Turchi, J. N., Málková, L., & Forcelli, P. A. (2018) · eLife · doi:10.7554/elife.37325 · Cited by 29
Huang, A., Rogers, B. P., Sheffield, J. M., Vandekar, S., Anticevic, A., & Woodward, N. D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118562 · Cited by 29
Crone, J. S., Lutkenhoff, E. S., Vespa, P. M., & Monti, M. M. (2020) · Neuroscience of Consciousness · doi:10.1093/nc/niaa008 · Cited by 29
Cortico‐thalamocortical interactions for learning, memory and decision‐making
Perry, B. A. L., Méndez, J. C., & Mitchell, A. S. (2022) · The Journal of Physiology · doi:10.1113/jp282626 · Cited by 27
Primate Thalamic Nuclei Select Abstract Rules and Shape Prefrontal Dynamics
Phillips, J. M., Afrasiabi, M., Kambi, N. A., Redinbaugh, M. J., Steely, S., Johnson, E. R., Cheng, X., Fayyad, M., Mohanta, S., Carís, A., et al. (2024) · Neuron · doi:10.1016/j.neuron.2025.03.021 · Cited by 28
Self-citationDiverse pathophysiological processes converge on network disruption in mania
Lee, I., Nielsen, K., Nawaz, U., Hall, M., Öngür, D., Keshavan, M. S., & Brady, R. O. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.10.087 · Cited by 27
Saitow, F., Takumi, T., & Suzuki, H. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107931 · Cited by 28
Multiplexed Levels of Cognitive Control through Delta and Theta Neural Oscillations
Pagnotta, M. F., Riddle, J., & D’Esposito, M. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02124 · Cited by 31
Conserved brain-wide emergence of emotional response from sensory experience in humans and mice
Kauvar, I., Richman, E. B., Liu, T. X., Li, C., Vesuna, S. S., Chibukhchyan, A., Yamada, L., Fogarty, A. S., Solomon, E. A., Choi, E. Y., et al. (2025) · Science · doi:10.1126/science.adt3971 · Cited by 28
A thalamo-centric neural signature for restructuring negative self-beliefs
Steward, T., Kung, P., Davey, C. G., Moffat, B. A., Glarin, R. K., Jamieson, A. J., Felmingham, K. L., & Harrison, B. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01402-9 · Cited by 26
Kantonen, O., Laaksonen, L., Alkire, M. T., Scheinin, A., Långsjö, J., Kallionpää, R., Kaisti, K. K., Radek, L., Johansson, J. J., Laitio, T. T., et al. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2339-22.2023 · Cited by 26
Visual hallucinations, thalamocortical physiology and Lewy body disease: A review
Esmaeeli, S., Murphy, K. P., Swords, G. M., Ibrahim, B. A., Brown, J. W., & Llano, D. A. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.006 · Cited by 26
Zheng, C., Huang, Y., Bo, B., Lei, W. I., Liang, Z., & Wang, Z. (2019) · Neuroscience Bulletin · doi:10.1007/s12264-019-00427-z · Cited by 28
New Cognitive Neurotechnology Facilitates Studies of Cortical–Subcortical Interactions
Min, B., Hämäläinen, M., & Pantazis, D. (2020) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.03.003 · Cited by 26
Chen, F., Lv, X., Fang, J., Li, T., Xu, J., Wang, X., Yang, H., Hong, L., Wang, J., Wang, W., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01637-8 · Cited by 26
Organization and engagement of a prefrontal-olfactory network during olfactory selective attention
Cansler, H. L., Zandt, E. E. I. ’., Carlson, K. S., Khan, W. T., Ma, M., & Wesson, D. W. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac153 · Cited by 28
Thalamo-hippocampal pathway regulates incidental memory capacity in mice
Torromino, G., Loffredo, V., Cavezza, D., Sonsini, G., Esposito, F., Crevenna, Á. H., Gioffrè, M., Risi, M. D., Treves, A., Griguoli, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31781-8 · Cited by 25
Mukherjee, A., & Halassa, M. M. (2022) · The Neuroscientist · doi:10.1177/10738584221112861 · Cited by 25
Self-citationIndependent inhibitory control mechanisms for aggressive motivation and action
Minakuchi, T., Guthman, E. M., Acharya, P., Hinson, J., Fleming, W., Witten, I. B., Oline, S. N., & Falkner, A. L. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01563-6 · Cited by 25
A Thalamocortical Perspective on Sleep Spindle Alterations in Neurodevelopmental Disorders
Herrera, C. G., & Tarokh, L. (2024) · Current Sleep Medicine Reports · doi:10.1007/s40675-024-00284-x · Cited by 27
Ge, M.-J., Chen, G., Zhang, Z., Yu, Z.-H., Shen, J., Pan, C., Han, F., Xu, H., Zhu, X.-L., & Lu, Y.-P. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110981 · Cited by 25
Can we use mice to study schizophrenia?
Canetta, S., & Kellendonk, C. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0032 · Cited by 25
Delevich, K. M., Jaaro-Peled, H., Penzo, M. A., Sawa, A., & Li, B. (2020) · eNeuro · doi:10.1523/eneuro.0496-19.2020 · Cited by 25
Cognition and the single neuron: How cell types construct the dynamic computations of frontal cortex
Christensen, A. J., Ott, T., & Kepecs, Á. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102630 · Cited by 24
Sun, N., Liu, M., Liu, P., Zhang, A., Yang, C., Liu, Z., Li, J., Li, G., Wang, Y., & Zhang, K. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.11.023 · Cited by 24
Zhang, A., Qiao, D., Wang, Y., Yang, C., Wang, Y., Sun, N., Hu, X., Liu, Z., & Zhang, K. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.01.080 · Cited by 24
Bueno-Júnior, L. S., & Leite, J. P. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00040 · Cited by 24
Antonucci, L. A., Carlo, P. D., Passiatore, R., Papalino, M., Monda, A., Amoroso, N., Tangaro, S., Taurisano, P., Rampino, A., Sambataro, F., et al. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01843-7 · Cited by 24
Interaction between Preterm White Matter Injury and Childhood Thalamic Growth
Cayam‐Rand, D., Guo, T., Synnes, A. R., Chau, V., Mabbott, C., Benavente‐Fernández, I., GRUNAU, R. E., & Miller, S. P. (2021) · Annals of Neurology · doi:10.1002/ana.26201 · Cited by 23
Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala
Abatis, M., Perin, R., Niu, R., van den Burg, E., Hegoburu, C., Kim, R., Okamura, M., Bito, H., Markram, H., & Stoop, R. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01676-6 · Cited by 23
Cortical layer with no known function
Molnár, Z. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.13978 · Cited by 23
Chakraborty, S., Ouhaz, Z., Mason, S. A., & Mitchell, A. S. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14078 · Cited by 25
Harrington, D. L., Shen, Q., Filoteo, J. V., Litvan, I., Huang, M., Castillo, G. N., Lee, R. R., & Bayram, E. (2019) · Human Brain Mapping · doi:10.1002/hbm.24868 · Cited by 23
Eye position signals in the dorsal pulvinar during fixation and goal-directed saccades
Schneider, L., Dominguez‐Vargas, A., Gibson, L., Kagan, I., & Wilke, M. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00432.2019 · Cited by 23
Yang, Z., Sheng, X., Qin, R., Chen, H., Shao, P., Xu, H., Yao, W., Zhao, H., Xu, Y., & Bai, F. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215390 · Cited by 24
Tauber, J., Brincat, S. L., Stephen, E. P., Donoghue, J., Kozachkov, L., Brown, E. N., & Miller, E. K. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02081 · Cited by 23
Cell type-specific connectome predicts distributed working memory activity in the mouse brain
Ding, X., Froudist‐Walsh, S., Jaramillo, J., Jiang, J., & Wang, X. (2023) · eLife · doi:10.7554/elife.85442 · Cited by 25
Population-level coding of avoidance learning in medial prefrontal cortex
Ehret, B., Boehringer, R., Amadei, E. A., Cervera, M. R., Henning, C., Galgali, A. R., Mante, V., & Grewe, B. F. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01704-5 · Cited by 22
The Neuroscience of Suicidal Behavior
van Heeringen, K. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316563205 · Cited by 22
Cognitive neurophysiology of the prefrontal cortex
Helfrich, R. F., & Knight, R. T. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804281-6.00003-3 · Cited by 25
Reinforcement regulates timing variability in thalamus
Wang, J., Hosseini, E. A., Meirhaeghe, N., Akkad, A., & Jazayeri, M. (2020) · eLife · doi:10.7554/elife.55872 · Cited by 26
How Brain Arousal Mechanisms Work
Pfaff, D. W. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108377485 · Cited by 22
Heterogeneous alterations in thalamic subfields in major depression disorder
Hong, W., Li, M., Liu, Z., Li, X., Huai, H., Jia, D., Jin, W., Zhao, Z., Liu, L., Li, J., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.08.115 · Cited by 22
Optogenetic stimulation: Understanding memory and treating deficits
Barnett, S. C., Perry, B. A. L., Dalrymple‐Alford, J. C., & Parr‐Brownlie, L. C. (2018) · Hippocampus · doi:10.1002/hipo.22960 · Cited by 23
Dissecting executive control circuits with neuron types
Kamigaki, T. (2018) · Neuroscience Research · doi:10.1016/j.neures.2018.07.004 · Cited by 23
Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits
Calderon, C. B., Verguts, T., & Frank, M. J. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009854 · Cited by 21
Temporal fluctuations in vigilance and neural networks after sleep deprivation
Mai, Z., Li, M., Pan, L., & Ma, N. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15663 · Cited by 21
Dynamic reorganization of the cortico-basal ganglia-thalamo-cortical network during task learning
Sych, Y., Fomins, A., Novelli, L., & Helmchen, F. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111394 · Cited by 22
Hallock, H. L., Adiraju, S. S., Miranda-Barrientos, J. A., McInerney, J. M., Oh, S., DeBrosse, A. C., Li, Y., Carr, G. V., & Martinowich, K. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01692-3 · Cited by 23
Zhuang, Q., Qiao, L., Xu, L., Yao, S., Chen, S., Zheng, X., Li, J., Fu, M., Li, K., Vatansever, D., et al. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad016 · Cited by 24
Experience-Dependent c-Fos Expression in the Mediodorsal Thalamus Varies With Chemosensory Modality
Fredericksen, K. E., McQueen, K. A., & Samuelsen, C. L. (2018) · Chemical Senses · doi:10.1093/chemse/bjy070 · Cited by 21
Contributions of Basal Ganglia Circuits to Perception, Attention, and Consciousness
Redinbaugh, M. J., & Saalmann, Y. B. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02177 · Cited by 20
D’Souza, J. F., Price, N. S. C., & Hagan, M. A. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02367-9 · Cited by 20
Yarur, H. E., Casello, S. M., Tsai, V. S., Enríquez-Traba, J., Kore, R., Wang, H., Arenivar, M. A., & Tejeda, H. A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02226-5 · Cited by 20
Hughes, H., Brady, L. J., & Schoonover, K. E. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1440834 · Cited by 20
Rapid context inference in a thalamocortical model using recurrent neural networks
Zheng, W., Wu, Z., Hummos, A., Yang, G. R., & Halassa, M. M. (2024) · Nature Communications · doi:10.1038/s41467-024-52289-3 · Cited by 22
Self-citationFabrication and modification of implantable optrode arrays for in vivo optogenetic applications
Wang, L., Huang, K., Zhong, C., Wang, L., & Lu, Y. (2018) · Biophysics Reports · doi:10.1007/s41048-018-0052-4 · Cited by 21
Woo, E., Datta, D., & Arnsten, A. F. T. (2022) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2022.849937 · Cited by 20
Functional alterations of the prefrontal circuit underlying cognitive aging in mice
Chong, H. R., Ranjbar-Slamloo, Y., Ho, M. Z. H., Ouyang, X., & Kamigaki, T. (2023) · Nature Communications · doi:10.1038/s41467-023-43142-0 · Cited by 19
Scalp‐recorded N40 visual evoked potential: Sensory and attentional properties
Proverbio, A. M., Broido, V., Benedetto, F. D., & Zani, A. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15443 · Cited by 19
Lv, S., Zhong, S., Zhang, S., Lai, S., Wang, Y., Zhao, H., Zhang, Y., Luo, Y., Yan, S., Ran, H., et al. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.08.129 · Cited by 19
Chen, D., Lei, X., Du, L., & Long, Z. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.01.064 · Cited by 20
Ouhaz, Z., Perry, B. A. L., Nakamura, K., & Mitchell, A. S. (2022) · eNeuro · doi:10.1523/eneuro.0162-21.2022 · Cited by 19
Reconfiguration of brain networks supporting inhibition of emotional challenge
Bartholomew, M. E., Yee, C. M., Heller, W., Miller, G. A., & Spielberg, J. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.066 · Cited by 24
Nwokolo, M., Amiel, S. A., O’Daly, O., Byrne, M. L., Wilson, B., Pernet, A., Cordon, S. M., Macdonald, I. A., Zelaya, F. O., & Choudhary, P. (2019) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x19842680 · Cited by 19
Yu, C., Stitt, I., Li, Y., Zhou, Z. C., Sellers, K. K., & Frӧhlich, F. (2018) · eNeuro · doi:10.1523/eneuro.0384-17.2018 · Cited by 22
Thalamocortical contribution to flexible learning in neural systems
Wang, M. B., & Halassa, M. M. (2022) · Network Neuroscience · doi:10.1162/netn_a_00235 · Cited by 23
Self-citationYang, L., Kandasamy, K., Na, L., Zhang, W., & Wang, P. (2022) · Psychology Health & Medicine · doi:10.1080/13548506.2022.2142947 · Cited by 23
Boeken, O. J., Cieslik, E. C., Langner, R., & Markett, S. A. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02603-w · Cited by 18
A prefrontal thalamocortical readout for conflict-related executive dysfunction in schizophrenia
Huang, A., Wimmer, R. D., Lam, N. H., Wang, B., Suresh, S., Roeske, M. J., Pleger, B., Halassa, M. M., & Woodward, N. D. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101802 · Cited by 18
Self-citationUnderstanding the circuit basis of cognitive functions using mouse models
Nakajima, M., & Schmitt, L. I. (2019) · Neuroscience Research · doi:10.1016/j.neures.2019.12.009 · Cited by 19
Self-citationHippocampus-Based Dynamic Functional Connectivity Mapping in the Early Stages of Alzheimer’s Disease
Wang, J., Wang, P., Jiang, Y., Wang, Z., Zhang, H., Li, H., & Biswal, B. B. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-215239 · Cited by 18
Kung, P., Soriano‐Mas, C., & Steward, T. (2022) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-022-09720-1 · Cited by 21
Cosgrove, M. E., Saadon, J. R., Mikell, C. B., Stefancin, P. L., Alkadaa, L. N., Wang, Z., Saluja, S., Servider, J., Razzaq, B., Huang, C., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.826266 · Cited by 19
Self-citationModulation of working memory duration by synaptic and astrocytic mechanisms
Becker, S., Nold, A., & Tchumatchenko, T. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010543 · Cited by 18
Courtiol, E., Neiman, M., Fleming, G., Teixeira, C. M., & Wilson, D. A. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1807-x · Cited by 18
Qiao, M., Zhang, T., Segalin, C., Sam, S., Perona, P., & Meister, M. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/467878 · Cited by 18
Multiregional communication and the channel modulation hypothesis
Pesaran, B., Hagan, M. A., Qiao, S., & Shewcraft, R. A. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.11.016 · Cited by 17
Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility
Zhang, X., Mukherjee, A., Halassa, M. M., & Chen, Z. S. (2025) · Nature Communications · doi:10.1038/s41467-025-58011-1 · Cited by 19
Self-citationUltrasonic thalamic stimulation modulates neural activity of thalamus and motor cortex in the mouse
Wang, X., Yan, J., Zhang, H., & Yuan, Y. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac409f · Cited by 17
Specific connectivity optimizes learning in thalamocortical loops
Lakshminarasimhan, K. J., Xie, M., Cohen, J. D., Sauerbrei, B., Hantman, A. W., Litwin-Kumar, A., & Escola, G. S. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114059 · Cited by 18
Interaction between hippocampal-prefrontal plasticity and thalamic-prefrontal activity
Bueno-Júnior, L. S., Peixoto-Santos, J. E., Ruggiero, R. N., Ávila, M. A. V., Marques, D. B., Lopes‐Aguiar, C., & Leite, J. P. (2018) · Scientific Reports · doi:10.1038/s41598-018-19540-6 · Cited by 17
A Low-Level Perceptual Correlate of Behavioral and Clinical Deficits in ADHD
Mihali, A., Young, A. G., Adler, L. A., Halassa, M. M., & Ma, W. J. (2018) · Computational Psychiatry · doi:10.1162/cpsy_a_00018 · Cited by 17
Self-citationActivation of Subthalamic Nucleus Stop Circuit Disrupts Cognitive Performance
Heston, J. B., Friedman, A., Baqai, M., Bavafa, N., Aron, A. R., & Hnasko, T. S. (2020) · eNeuro · doi:10.1523/eneuro.0159-20.2020 · Cited by 17
Sohal, V. S. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102820 · Cited by 20
Huang, A., Kang, K., Vandekar, S., Rogers, B. P., Heckers, S., & Woodward, N. D. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01837-y · Cited by 17
Morita, K., & Kawaguchi, Y. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00111 · Cited by 16
Canetta, S., Teboul, E., Holt, E. S., Bolkan, S. S., Padilla-Coreano, N., Gordon, J. A., Harrison, N. L., & Kellendonk, C. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa084 · Cited by 16
Scott, G. A., Liu, M. C., Tahir, N. B., Zabder, N. K., Song, Y., Greba, Q., & Howland, J. G. (2020) · Learning & Memory · doi:10.1101/lm.050195.119 · Cited by 16
Tanimoto, Y., Kakinuma, H., Aoki, R., Shiraki, T., Higashijima, S.-I., & Okamoto, H. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113916 · Cited by 16
Liu, M., Lerma‐Usabiaga, G., Clascá, F., & Paz‐Alonso, P. M. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0721-23.2023 · Cited by 17
Emergence of cortical network motifs for short-term memory during learning
Chia, X. W., Tan, J. K., Ang, L. F., Kamigaki, T., & Makino, H. (2023) · Nature Communications · doi:10.1038/s41467-023-42609-4 · Cited by 16
Morphological characterization of HVC projection neurons in the zebra finch (Taeniopygia guttata)
Benezra, S. E., Narayanan, R. T., Egger, R., Oberlaender, M., & Long, M. A. (2018) · The Journal of Comparative Neurology · doi:10.1002/cne.24437 · Cited by 15
Garibotto, V., Wissmeyer, M., Giavri, Z., Ratib, O. M., & Picard, F. (2019) · Molecular Imaging and Biology · doi:10.1007/s11307-019-01377-8 · Cited by 15
The Human Intraparietal Sulcus Modulates Task-Evoked Functional Connectivity
Hwang, K., Shine, J. M., Cellier, D., & D’Esposito, M. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz133 · Cited by 15
Carlo, P. D., Pergola, G., Antonucci, L. A., Bonvino, A., Mancini, M., Quarto, T., Rampino, A., Popolizio, T., Bertolino, A., & Blasi, G. (2019) · Psychological Medicine · doi:10.1017/s0033291719001430 · Cited by 15
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
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