Abstract
Preterm birth is a leading risk factor for atypicalities in cognitive and sensory processing, but it is unclear how prematurity impacts circuits that support these functions. To address this, we trained adult male and female mice born a day early (preterm mice) on a visual discrimination task and found that they fail to achieve high levels of performance due to increased responding to the non-rewarded cue. The representation of the non-rewarded cue in the prefrontal cortex (PFC), a brain area that mediates response inhibition, is significantly weaker in regular spiking, putative pyramidal neurons in preterm mice, while their fast-spiking interneurons show blunted responses to both task cues. Similar cue representation is present in the PFC of adolescent term-born mice, suggesting that preterm birth disrupts prefrontal maturation. Altogether, our study describes the long-term impact of preterm birth on prefrontal circuits and highlights their sensitivity to traumatic experiences during the perinatal period.
Data availability
Data associated with figures is provided in the Source Data file. All raw data can be obtained by contacting the corresponding author. Source data are provided with this paper.
Code availability
All analysis codes used in this study are available online (CED website) under https://ced.co.uk/downloads/scriptspkexpr.
References
Heuvelman, H. et al. Gestational age at birth and risk of intellectual disability without a common genetic cause. Eur. J. Epidemiol. 33, 667–678 (2018).
Perapoch, J. et al. Prematurity and ADHD in Childhood: An Observational Register-Based Study in Catalonia. J. Atten. Disord. 25, 933–941 (2021).
Crump, C., Sundquist, J. & Sundquist, K. Preterm or early term birth and risk of attention-deficit/hyperactivity disorder: a national cohort and co-sibling study. Ann. Epidemiol. 86, 119–125.e4 (2023).
Allen, L., Leon-Attia, O., Shaham, M., Shefer, S. & Gabis, L. V. Autism risk linked to prematurity is more accentuated in girls. PLoS ONE 15, e0236994 (2020).
Crump, C., Sundquist, J. & Sundquist, K. Preterm or early term birth and risk of autism. Pediatrics 148, (2021).
Husby, A., Wohlfahrt, J. & Melbye, M. Gestational age at birth and cognitive outcomes in adolescence: population based full sibling cohort study. BMJ 380, e072779 (2023).
van Houdt, C. A., Oosterlaan, J., van Wassenaer-Leemhuis, A. G., van Kaam, A. H. & Aarnoudse-Moens, C. S. H. Executive function deficits in children born preterm or at low birthweight: a meta-analysis. Dev. Med. Child Neurol. 61, 1015–1024 (2019).
Schnider, B. et al. Executive function deficits mediate the association between very preterm birth and behavioral problems at school-age. Early Hum. Dev. 146, 105076 (2020).
Johnson, S. & Marlow, N. Preterm birth and childhood psychiatric disorders. Pediatr. Res. 69, 11R–18RR (2011).
Johnson, S. & Marlow, N. Early and long-term outcome of infants born extremely preterm. Arch. Dis. Child. 102, 97–102 (2017).
Tokariev, A. et al. Preterm birth changes networks of newborn cortical activity. Cereb. Cortex 29, 814–826 (2019).
Chini, M. & Hanganu-Opatz, I. L. Prefrontal Cortex development in health and disease: lessons from rodents and humans. Trends Neurosci 44, 227–240 (2021).
Ball, G. et al. The effect of preterm birth on thalamic and cortical development. Cereb. Cortex 22, 1016–1024 (2012).
Nosarti, C. et al. Preterm birth and structural brain alterations in early adulthood. Neuroimage Clin 6, 180–191 (2014).
Wehrle, F. M. et al. Multimodal assessment shows misalignment of structural and functional thalamocortical connectivity in children and adolescents born very preterm. Neuroimage 215, 116779 (2020).
Yrjölä, P., Stjerna, S., Palva, J. M., Vanhatalo, S. & Tokariev, A. Phase-Based Cortical Synchrony Is Affected by Prematurity. Cereb. Cortex 32, 2265–2276 (2022).
Lacaille, H., Vacher, C.-M. & Penn, A. A. Preterm birth alters the maturation of the gabaergic system in the human prefrontal cortex. Front. Mol. Neurosci. 14, 827370 (2021).
Lacaille, H. et al. Impaired interneuron development in a novel model of neonatal brain injury. eNeuro 6, (2019).
Panda, S. et al. Estrogen Treatment Reverses Prematurity-Induced Disruption in Cortical Interneuron Population. J. Neurosci. 38, 7378–7391 (2018).
Tibrewal, M. et al. Disruption of Interneuron Neurogenesis in Premature Newborns and Reversal with Estrogen Treatment. J. Neurosci. 38, 1100–1113 (2018).
Komitova, M. et al. Hypoxia-induced developmental delays of inhibitory interneurons are reversed by environmental enrichment in the postnatal mouse forebrain. J. Neurosci. 33, 13375–13387 (2013).
Moloney, R. A. et al. Ongoing effects of preterm birth on the dopaminergic and noradrenergic pathways in the frontal cortex and hippocampus of guinea pigs. Dev. Neurobiol. 84, 93–110 (2024).
Moloney, R. A., Palliser, H. K., Pavy, C. L., Shaw, J. C. & Hirst, J. J. Zuranolone therapy protects frontal cortex neurodevelopment and improves behavioral outcomes after preterm birth. Brain Behav 14, e70009 (2024).
Gramatté, T. & Schmidt, J. The effect of early postnatal hypoxia on the development of locomotor activity in rats. Biomed. Biochim. Acta 45, 523–529 (1986).
Speiser, Z., Korczyn, A. D., Teplitzky, I. & Gitter, S. Hyperactivity in rats following postnatal anoxia. Behav. Brain Res. 7, 379–382 (1983).
van der Kooij, M. A. et al. Mild neonatal hypoxia-ischemia induces long-term motor- and cognitive impairments in mice. Brain Behav. Immun. 24, 850–856 (2010).
Domnick, N.-K. et al. Neonatal hypoxia-ischemia impairs juvenile recognition memory by disrupting the maturation of prefrontal-hippocampal networks. Exp. Neurol. 273, 202–214 (2015).
Witteveen, I. F. et al. Preterm birth accelerates the maturation of spontaneous and resting activity in the visual cortex. Front. Integr. Neurosci. 17, 1149159 (2023).
Jurjut, O., Georgieva, P., Busse, L. & Katzner, S. Learning Enhances Sensory Processing in Mouse V1 before Improving Behavior. J. Neurosci. 37, 6460–6474 (2017).
Liu, D. et al. Orbitofrontal control of visual cortex gain promotes visual associative learning. Nat. Commun. 11, 2784 (2020).
Murray, S. A. et al. Mouse gestation length is genetically determined. PLoS ONE 5, e12418 (2010).
Castillo-Ruiz, A., Hite, T. A., Yakout, D. W., Rosen, T. J. & Forger, N. G. Does birth trigger cell death in the developing brain? eNeuro 7, (2020).
Ribic, A., Crair, M. C. & Biederer, T. Synapse-Selective Control of Cortical Maturation and Plasticity by Parvalbumin-Autonomous Action of SynCAM 1. Cell Rep 26, 381–393.e6 (2019).
Niell, C. M. & Stryker, M. P. Highly selective receptive fields in mouse visual cortex. J. Neurosci. 28, 7520–7536 (2008).
Guo, Z. V. et al. Procedures for behavioral experiments in head-fixed mice. PLoS ONE 9, e88678 (2014).
Berditchevskaia, A., Cazé, R. D. & Schultz, S. R. Performance in a GO/NOGO perceptual task reflects a balance between impulsive and instrumental components of behaviour. Sci. Rep. 6, 27389 (2016).
Gemperli, K. et al. Preterm birth is associated with dystonic features and reduced cortical parvalbumin immunoreactivity in mice. Pediatr Res. 97, 2475-2484 (2025).
Patel, T. P. et al. An open-source toolbox for automated phenotyping of mice in behavioral tasks. Front. Behav. Neurosci. 8, 349 (2014).
Del Rosario, J. et al. Diminished cortical excitation and elevated inhibition during perceptual impairments in a mouse model of autism. Cereb. Cortex 31, 3462–3474 (2021).
Goel, A. et al. Impaired perceptual learning in a mouse model of Fragile × syndrome is mediated by parvalbumin neuron dysfunction and is reversible. Nat. Neurosci. 21, 1404–1411 (2018).
Poort, J. et al. Learning Enhances sensory and multiple non-sensory representations in primary visUAL CORtex. Neuron 86, 1478–1490 (2015).
Henschke, J. U. et al. Reward Association Enhances Stimulus-Specific Representations in Primary Visual Cortex. Curr. Biol. 30, 1866–1880.e5 (2020).
Corbo, J., McClure, J. P., Erkat, O. B. & Polack, P.-O. Dynamic Distortion of Orientation Representation after Learning in the Mouse Primary Visual Cortex. J. Neurosci. 42, 4311–4325 (2022).
StBoughter, J. D., John, S. J., Noel, D. T., Ndubuizu, O. & Smith, D. V. A brief-access test for bitter taste in mice. Chem. Senses 27, 133–142 (2002).
Durand, S. et al. A comparison of visual response properties in the lateral geniculate nucleus and primary visual cortex of awake and anesthetized mice. J. Neurosci. 36, 12144–12156 (2016).
Niell, C. M. & Stryker, M. P. Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 65, 472–479 (2010).
Xing, D., Yeh, C.-I., Burns, S. & Shapley, R. M. Laminar analysis of visually evoked activity in the primary visual cortex. Proc. Natl. Acad. Sci USA 109, 13871–13876 (2012).
Stringer, C., Michaelos, M., Tsyboulski, D., Lindo, S. E. & Pachitariu, M. High-precision coding in visual cortex. Cell 184, 2767–2778.e15 (2021).
Zhang, S. et al. Selective attention. Long-range and local circuits for top-down modulation of visual cortex processing. Science 345, 660–665 (2014).
Norman, K. J. et al. Post-error recruitment of frontal sensory cortical projections promotes attention in mice. Neuron 109, 1202–1213.e5 (2021).
Leinweber, M., Ward, D. R., Sobczak, J. M., Attinger, A. & Keller, G. B. A sensorimotor circuit in mouse cortex for visual flow predictions. Neuron 95, 1420–1432.e5 (2017).
Zhang, S. et al. Organization of long-range inputs and outputs of frontal cortex for top-down control. Nat. Neurosci. 19, 1733–1742 (2016).
Le Merre, P. et al. Reward-Based Learning Drives Rapid Sensory Signals in Medial Prefrontal Cortex and Dorsal Hippocampus Necessary for Goal-Directed Behavior. Neuron 97, 83–91.e5 (2018).
Peters, A. J., Marica, A.-M., Fabre, J. M. J., Harris, K. D. & Carandini, M. Visuomotor learning promotes visually evoked activity in the medial prefrontal cortex. Cell Rep 41, 111487 (2022).
Wal, A., Klein, F. J., Born, G., Busse, L. & Katzner, S. Evaluating visual cues modulates their representation in mouse visual and cingulate cortex. J. Neurosci. 41, 3531–3544 (2021).
Kim, J.-H., Ma, D.-H., Jung, E., Choi, I. & Lee, S.-H. Gated feedforward inhibition in the frontal cortex releases goal-directed action. Nat. Neurosci. 24, 1452–1464 (2021).
Tervo, D. G. R. et al. A designer AAV variant permits efficient retrograde access to projection neurons. Neuron 92, 372–382 (2016).
Lima, S. Q., Hromádka, T., Znamenskiy, P. & Zador, A. M. PINP: a new method of tagging neuronal populations for identification during in vivo electrophysiological recording. PLoS ONE 4, e6099 (2009).
Cardin, J. A. Dissecting local circuits in vivo: integrated optogenetic and electrophysiology approaches for exploring inhibitory regulation of cortical activity. J. Physiol. Paris 106, 104–111 (2012).
Vormstein-Schneider, D. et al. Viral manipulation of functionally distinct interneurons in mice, non-human primates and humans. Nat. Neurosci. 23, 1629–1636 (2020).
Courcelles, E. J. et al. Association cortical areas in the mouse contain a large population of fast-spiking GABAergic neurons that do not express parvalbumin. Eur. J. Neurosci. 59, 3236–3255 (2024).
Le Merre, P., Ährlund-Richter, S. & Carlén, M. The mouse prefrontal cortex: Unity in diversity. Neuron 109, 1925–1944 (2021).
Jeong, J. H. & Choi, J.-S. Population analyses reveal heterogenous encoding in the medial prefrontal cortex during naturalistic foraging. https://doi.org/10.7554/eLife.93994.2 (2025).
Lui, J. H. et al. Differential encoding in prefrontal cortex projection neuron classes across cognitive tasks. Cell 184, 489–506.e26 (2021).
Hanley, J. A. & McNeil, B. J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29–36 (1982).
Réveillon, M., Hüppi, P. S. & Barisnikov, K. Inhibition difficulties in preterm children: Developmental delay or persistent deficit? Child Neuropsychol 24, 734–762 (2018).
Nieves, G. M., Rahn, R. M., Baskoylu, S. N. & Liston, C. M. Divergent reward cue representations in prefrontal cortex underlie differences in reward motivation between adolescents and adults. BioRxiv https://doi.org/10.1101/2023.11.07.565069 (2024).
Orso, R. et al. Early environmental enrichment rescues memory impairments provoked by mild neonatal hypoxia-ischemia in adolescent mice. Behav. Brain Res. 407, 113237 (2021).
Bartoletti, A., Medini, P., Berardi, N. & Maffei, L. Environmental enrichment prevents effects of dark-rearing in the rat visual cortex. Nat. Neurosci. 7, 215–216 (2004).
Cancedda, L. et al. Acceleration of visual system development by environmental enrichment. J. Neurosci. 24, 4840–4848 (2004).
Forbes, T. A. et al. Environmental enrichment ameliorates perinatal brain injury and promotes functional white matter recovery. Nat. Commun. 11, 964 (2020).
Akhund-Zade, J., Ho, S., O’Leary, C. & de Bivort, B. The effect of environmental enrichment on behavioral variability depends on genotype, behavior, and type of enrichment. J. Exp. Biol. 222, 10.1242/jeb.202234 (2019).
Martínez-Cué, C. et al. Differential effects of environmental enrichment on behavior and learning of male and female Ts65Dn mice, a model for Down syndrome. Behav. Brain Res. 134, 185–200 (2002).
Stolp, H. B. et al. Interneuron development is disrupted in preterm brains with diffuse white matter injury: observations in mouse and human. Front. Physiol. 10, 955 (2019).
Parnaudeau, S. et al. Mediodorsal thalamus hypofunction impairs flexible goal-directed behavior. Biol. Psychiatry 77, 445–453 (2015).
Marton, T. F., Seifikar, H., Luongo, F. J., Lee, A. T. & Sohal, V. S. Roles of prefrontal cortex and mediodorsal thalamus in task engagement and behavioral flexibility. J. Neurosci. 38, 2569–2578 (2018).
Wimmer, R. D. et al. Thalamic control of sensory selection in divided attention. Nature 526, 705–709 (2015).
Mukherjee, A. et al. Variation of connectivity across exemplar sensory and associative thalamocortical loops in the mouse. eLife 9, 10.7554/eLife.62554 (2020).
Delevich, K., Tucciarone, J., Huang, Z. J. & Li, B. The mediodorsal thalamus drives feedforward inhibition in the anterior cingulate cortex via parvalbumin interneurons. J. Neurosci. 35, 5743–5753 (2015).
Molnár, Z. & Rutherford, M. Brain maturation after preterm birth. Sci. Transl. Med. 5, 168ps2 (2013).
Toda, T. et al. Birth regulates the initiation of sensory map formation through serotonin signaling. Dev. Cell 27, 32–46 (2013).
Leung, M. P., Thompson, B., Black, J., Dai, S. & Alsweiler, J. M. The effects of preterm birth on visual development. Clin. Exp. Optom. 101, 4–12 (2018).
Hunt, B. A. E. et al. Disrupted visual cortex neurophysiology following very preterm birth. Biol. Psychiatry Cogn. Neurosci. Neuroimaging https://doi.org/10.1016/j.bpsc.2019.08.012 (2019).
Emberson, L. L., Boldin, A. M., Riccio, J. E., Guillet, R. & Aslin, R. N. Deficits in Top-Down Sensory Prediction in Infants At Risk due to Premature Birth. Curr. Biol. 27, 431–436 (2017).
Boldin, A. M., Geiger, R. & Emberson, L. L. The emergence of top-down, sensory prediction during learning in infancy: A comparison of full-term and preterm infants. Dev. Psychobiol. 60, 544–556 (2018).
Jaffe-Dax, S., Boldin, A. M., Daw, N. D. & Emberson, L. L. A Computational Role for Top-Down Modulation from Frontal Cortex in Infancy. J. Cogn. Neurosci. 32, 508–514 (2020).
Siegle, J. H. et al. Reconciling functional differences in populations of neurons recorded with two-photon imaging and electrophysiology. eLife 10, https://pubmed.ncbi.nlm.nih.gov/33893166/ (2021).
Wei, Z. et al. A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. PLoS Comput. Biol. 16, e1008198 (2020).
Kerstjens, J. M., de Winter, A. F., Bocca-Tjeertes, I. F., Bos, A. F. & Reijneveld, S. A. Risk of developmental delay increases exponentially as gestational age of preterm infants decreases: a cohort study at age 4 years. Dev. Med. Child Neurol. 54, 1096–1101 (2012).
Pierrat, V. et al. Neurodevelopmental outcome at 2 years for preterm children born at 22 to 34 weeks’ gestation in France in 2011: EPIPAGE-2 cohort study. BMJ 358, j3448 (2017).
Tang, Y. P., Wang, H., Feng, R., Kyin, M. & Tsien, J. Z. Differential effects of enrichment on learning and memory function in NR2B transgenic mice. Neuropharmacology 41, 779–790 (2001).
Imperio, C. G. et al. Exposure to environmental enrichment attenuates addiction-like behavior and alters molecular effects of heroin self-administration in rats. Neuropharmacology 139, 26–40 (2018).
Zheng, H. J. V. et al. Environmental enrichment sharpens sensory acuity by enhancing information coding in barrel cortex and premotor cortex. eNeuro 8, 10.1523/ENEURO.0309-20.2021 (2021).
Jendryka, M. M. et al. Control of sustained attention and impulsivity by Gq-protein signalling in parvalbumin interneurons of the anterior cingulate cortex. Transl. Psychiatry 13, 243 (2023).
Cardin, J. A. et al. Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2. Nat. Protoc. 5, 247–254 (2010).
Bitzenhofer, S. H., Pöpplau, J. A., Chini, M., Marquardt, A. & Hanganu-Opatz, I. L. A transient developmental increase in prefrontal activity alters network maturation and causes cognitive dysfunction in adult mice. Neuron 109, 1350–1364.e6 (2021).
Sargin, D., Jeoung, H.-S., Goodfellow, N. M. & Lambe, E. K. Serotonin regulation of the prefrontal cortex: cognitive relevance and the impact of developmental perturbation. ACS Chem. Neurosci. 10, 3078–3093 (2019).
Rebello, T. J. et al. Postnatal day 2 to 11 constitutes a 5-HT-sensitive period impacting adult mPFC function. J. Neurosci. 34, 12379–12393 (2014).
Sinclair-Wilson, A. et al. Plasticity of thalamocortical axons is regulated by serotonin levels modulated by preterm birth. Proc. Natl. Acad. Sci. USA 120, e2301644120 (2023).
Ogelman, R. et al. Serotonin modulates excitatory synapse maturation in the developing prefrontal cortex. Nat. Commun. 15, 1368 (2024).
Shah, R., Courtiol, E., Castellanos, F. X. & Teixeira, C. M. Abnormal serotonin levels during perinatal development lead to behavioral deficits in adulthood. Front. Behav. Neurosci. 12, 114 (2018).
Ansorge, M. S., Zhou, M., Lira, A., Hen, R. & Gingrich, J. A. Early-life blockade of the 5-HT transporter alters emotional behavior in adult mice. Science 306, 879–881 (2004).
Whitaker-Azmitia, P. M., Zhang, X. & Clarke, C. Effects of gestational exposure to monoamine oxidase inhibitors in rats: preliminary behavioral and neurochemical studies. Neuropsychopharmacology 11, 125–132 (1994).
Breese, G. R., Vogel, R. A. & Mueller, R. A. Biochemical and behavioral alterations in developing rats treated with 5,7-dihydroxytryptamine. J. Pharmacol. Exp. Ther. 205, 587–595 (1978).
González-Burgos, I., del Angel-Meza, A. R., Barajas-López, G. & Feria-Velasco, A. Tryptophan restriction causes long-term plastic changes in corticofrontal pyramidal neurons. Int. J. Dev. Neurosci. 14, 673–679 (1996).
Mazer, C. et al. Serotonin depletion during synaptogenesis leads to decreased synaptic density and learning deficits in the adult rat: a possible model of neurodevelopmental disorders with cognitive deficits. Brain Res 760, 68–73 (1997).
Zoratto, F., Fiore, M., Ali, S. F., Laviola, G. & Macrì, S. Neonatal tryptophan depletion and corticosterone supplementation modify emotional responses in adult male mice. Psychoneuroendocrinology 38, 24–39 (2013).
Colonnese, M. T. et al. A conserved switch in sensory processing prepares developing neocortex for vision. Neuron 67, 480–498 (2010).
Salmaso, N., Jablonska, B., Scafidi, J., Vaccarino, F. M. & Gallo, V. Neurobiology of premature brain injury. Nat. Neurosci. 17, 341–346 (2014).
Allen, T. A. et al. Imaging the spread of reversible brain inactivations using fluorescent muscimol. J. Neurosci. Methods 171, 30–38 (2008).
Ingrao, J. C. et al. Aqueous stability and oral pharmacokinetics of meloxicam and carprofen in male C57BL/6 mice. J. Am. Assoc. Lab. Anim. Sci. 52, 553–559 (2013).
Hayar, A., Bryant, J. L., Boughter, J. D. & Heck, D. H. A low-cost solution to measure mouse licking in an electrophysiological setup with a standard analog-to-digital converter. J. Neurosci. Methods 153, 203–207 (2006).
Acknowledgements
This study was supported by the Department of Psychology at the University of Virginia, the National Center For Advancing Translational Sciences of the National Institutes of Health under Award Numbers KL2TR003016/ULTR003015, the Brain Institute at the University of Virginia, Owens Family Foundation and R01MH140184 to A.R. L.Y. D. was in part supported by Summer Research Internship Program (SRIP), O.P.B. by the Harrison Undergraduate Research Award, and S.C.F. by the College Council Student Research Grant at the University of Virginia. The authors would like to thank the Cang and Liu labs at the Departments of Biology and Psychology, as well as the Program in Fundamental Neuroscience, for generous access to their confocal microscopes. The authors would like to acknowledge Dr. Francesca Sciaccotta, Fatima Ribic and Alia Minaya for their help with data analysis.
Author information
Authors and Affiliations
Contributions
E.M.M. and A.R. performed all electrophysiological experiments and confocal imaging, and E.M.M. V.P., and A.R. performed all behavioral experiments, with assistance from M.F., L.Y.D., O.B., S.F., J.S., L.E., T.D.H., and P. A.-A. All authors contributed to the analysis of the behavioral data. Electrophysiological data were analyzed by X.T. and A.R. A.R. conceived the study and wrote the manuscript with input from all authors. All authors of this study have fulfilled the criteria for authorship required by Nature Portfolio journals, as their participation was essential for the design and implementation of the study.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks Hidenobu Mizuno who co-reviewed with Elvira Abzhanova; and Matthew Colonnese for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
McCoy, E.M., Pendala, V., Fariborzi, M. et al. Divergent representation and processing of task cues in sensory and prefrontal cortices of preterm-born mice. Nat Commun (2026). https://doi.org/10.1038/s41467-026-68948-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-026-68948-6