Altered Hippocampal-Prefrontal Neural Dynamics in Mouse Models of Down Syndrome
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Abstract
Altered neural dynamics in the medial prefrontal cortex (mPFC) and hippocampus may contribute to cognitive impairments in the complex chromosomal disorder Down syndrome (DS). Here, we demonstrate non-overlapping behavioral differences associated with distinct abnormalities in hippocampal and mPFC electrophysiology during a canonical spatial working memory task in three partially trisomic mouse models of DS (Dp1Tyb, Dp10Yey, and Dp17Yey) that together cover all regions of homology with human chromosome 21 (Hsa21). Dp1Tyb mice show slower decision-making (unrelated to the gene dose of DYRK1A, which has been implicated in DS cognitive dysfunction) and altered theta dynamics (reduced frequency, increased hippocampal-mPFC coherence, and increased modulation of hippocampal high gamma); Dp10Yey mice show impaired alternation performance and reduced theta modulation of hippocampal low gamma; and Dp17Yey mice are not significantly different from the wild type. These results link specific hippocampal and mPFC circuit dysfunctions to cognitive deficits in DS models and, importantly, map them to discrete regions of Hsa21.
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In Down syndrome, particular neurodevelopmental events are delayed in forebrain regions such as neurogenesis, migration and synaptogenesis, eventually resulting in altered prefrontal circuitry.
“Particular neurodevelopmental events are delayed in forebrain regions such as neurogenesis, migration and synaptogenesis eventually resulting in altered prefrontal circuitry [294–296].”
From Development of prefrontal cortex (2022) · cites this paper as [296]
The Introduction and Abstract (page numbers unavailable) describe abnormalities in medial prefrontal function and neural dynamics in Down syndrome models. They do not report delayed neurogenesis, migration, or synaptogenesis in forebrain regions, or establish that those delays cause the altered circuitry. (LLM, conf=0.84)
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Cortico-hippocampal communication by way of parallel parahippocampal-subicular pathways.
Lavenex (2000) · Pure Amsterdam UMC · doi:10.1002/1098-1063(2000)10:4 · Cited by 1 · see citing works
Flagged first, then by citations
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Development of prefrontal cortex
Kolk, S. M., & Rakic, P. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01137-9 · Cited by 378 · see citing works
Lindberg, M. F., & Meijer, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22116047 · Cited by 123 · see citing works
Ji, M., Lei, L., Gao, D., Tong, J., Wang, Y., & Yang, J. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.06.001 · Cited by 81 · see citing works
Theta Oscillations Through Hippocampal/Prefrontal Pathway: Importance in Cognitive Performances
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Duchon, A., Moreno, M. D. M. M., Lorenzo, S. M., de Souza, M. P. S., Chevalier, C., Nalesso, V., Méziane, H., de Sousa, P. L., Noblet, V., Armspach, J., et al. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab012 · Cited by 38 · see citing works
Lana-Elola, E., Cater, H., Watson-Scales, S., Greenaway, S., Müller-Winkler, J., Gibbins, D., Nemes, M., Slender, A., Hough, T., Keskivali-Bond, P., et al. (2021) · Disease Models & Mechanisms · doi:10.1242/dmm.049157 · Cited by 35 · see citing works
Self-citationDysregulated systemic metabolism in a Down syndrome mouse model
Sarver, D. C., Xu, C., Vélez, L. M., Aja, S. M., Jaffe, A. E., Seldin, M. M., Reeves, R. H., & Wong, G. W. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101666 · Cited by 31 · see citing works
Redhead, Y. T., Gibbins, D., Lana‐Elola, E., Watson-Scales, S., Dobson, L., Krause, M., Liu, K. J., Fisher, E., Green, J. B. A., & Tybulewicz, V. L. J. (2023) · Development · doi:10.1242/dev.201077 · Cited by 29 · see citing works
Self-citationBrain circuit pathology in Down syndrome: from neurons to neural networks
Bartesaghi, R. (2023) · Reviews in the Neurosciences · doi:10.1515/revneuro-2022-0067 · Cited by 25 · see citing works
Gautier, M. K., Kelley, C. M., Lee, S. H., Alldred, M. J., McDaid, J., Mufson, E. J., Stutzmann, G. E., & Ginsberg, S. D. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106332 · Cited by 21 · see citing works
Shing, N., Walker, M. C., & Chang, P. (2022) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2022.107683 · Cited by 19 · see citing works
Self-citationChang, P., Lorenzo Fabrizi, D., & Fitzgerald, M. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0416-22.2022 · Cited by 18 · see citing works
Self-citationHogg, E. K. J., & Findlay, G. M. (2023) · FEBS Letters · doi:10.1002/1873-3468.14723 · Cited by 16 · see citing works
Recent research and development of DYRK1A inhibitors
Zhao, L., Xiong, X., Liu, L., Liang, Q., Tong, R., Feng, X., Bai, L., & Shi, J. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.10.003 · Cited by 16 · see citing works
Victorino, D. B., Faber, J., Pinheiro, D. J. L. L., Scorza, F. A., de Almeida, A.-C. G., Costa, A. C. S., & Scorza, C. A. (2022) · Aging and Disease · doi:10.14336/ad.2022.0906 · Cited by 8 · see citing works
Perspectives on pain in Down syndrome
Shaikh, A., Li, Y., & Lu, J. (2023) · Medicinal Research Reviews · doi:10.1002/med.21954 · Cited by 9 · see citing works
Alemany-González, M., Vilademunt, M., Gener, T., & Puig, M. V. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105841 · Cited by 7 · see citing works
Investigating brain alterations in the Dp1Tyb mouse model of Down syndrome
Navacerrada, M. E. S., Kim, E., Siow, B. M., Ma, D., Gonzalez, L. R., Simmons, C., Hayward, D., Gibbins, D., Singh, N., Strydom, A., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106336 · Cited by 7 · see citing works
Self-citationAhmed, M. M., Block, A., Busquet, N., & Gardiner, K. (2021) · Genes · doi:10.3390/genes12101528 · Cited by 7 · see citing works
Ripply3 overdosage induces mid-face shortening through Tbx1 downregulation in Down syndrome models
Saavedra, J. T. A., Chevalier, C., Bloch‐Zupan, A., & Hérault, Y. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011873 · Cited by 8 · see citing works
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Self-citationBhandari, K., Kanodia, H., Donato, F., & Caroni, P. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114124 · Cited by 5 · see citing works
Muza, P. M., Bush, D., Pérez-González, M., Zouhair, I., Cleverley, K., Sopeña, M. L., Aoidi, R., West, S. J., Good, M. A., Tybulewicz, V. L. J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106073 · Cited by 5 · see citing works
Self-citationLlambrich, S., Tielemans, B., Saliën, E., Atzori, M., Wouters, K., Bulck, V. V., Platt, M., Vanherp, L., Fernandez, N. G., de la Fuente, L. G., et al. (2024) · eLife · doi:10.7554/elife.89763.3 · Cited by 5 · see citing works
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Self-citationCanonica, T., Kidd, E. J., Gibbins, D., Lana‐Elola, E., Fisher, E., Tybulewicz, V. L. J., & Good, M. A. (2024) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2024.1428146 · Cited by 3 · see citing works
Self-citationNeuronal oscillations in cognition: Down syndrome as a model of mouse to human translation
Chang, P., Pérez-González, M., Constable, J., Bush, D., Cleverley, K., Tybulewicz, V. L. J., Fisher, E., & Walker, M. C. (2024) · The Neuroscientist · doi:10.1177/10738584241271414 · Cited by 3 · see citing works
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Ripply3 overdosage induces mid-face shortening through Tbx1 downregulation in Down syndrome modelsPreprint
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Investigating Brain Alterations in the Dp1Tyb Mouse Model of Down SyndromePreprint
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Impact of Cre/LoxP-Mediated Chromosome Engineering Technology on Down Syndrome Research
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- Authors
- Chang, P., Bush, D., Schorge, S., Good, M., Canonica, T., Shing, N., Noy, S., Wiseman, F. K., Burgess, N., Tybulewicz, V. L. J., Walker, M. C., & Fisher, E. M. C.
- Affiliations
- UCL Queen Square Institute of Neurology (GB)
- Cardiff University (GB)
- The Francis Crick Institute (GB)
- Corresponding author
- Walker, Matthew C.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 30
- Issue
- 4
- Pages
- 1152-1163.e4
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC6996020
- OpenAlex
- W3003528882
- Cited by
- 47
- References
- 101
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 9 · 2023: 10 · 2022: 8 · 2021: 7 · 2020: 4 · 2019: 1
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Explore Bristol Research (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by)
- The Francis Crick Institute (cc-by)
- Funders
- Medical Research Council (U117527252)
- Francis Crick Institute
- Wellcome Trust (098327, 080174, 098328)
- Cancer Research UK (FC001194, 202805/Z/16/Z)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Down syndrome and intellectual disability research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- Down syndrome, mouse model, hippocampus, medial prefrontal cortex, neural dynamics, spatial working memory, theta oscillations, gamma oscillations, decision-making, DYRK1A, cognitive impairment
- MeSH terms
- Dyrk Kinases, Animals, Chromosomes, Human, Pair 21, Disease Models, Animal, Down Syndrome, Electroencephalography, Hippocampus, Humans, Male, Memory, Short-Term, Mice, Inbred C57BL, Protein-Tyrosine Kinases, Theta Rhythm, Trisomy, Protein Serine-Threonine Kinases, Prefrontal Cortex, Mice, Cognitive Dysfunction, Spatial Memory
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.
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