CoChat
Sign Up
Cited by 8Genetics and Neurodevelopmental DisordersAutism Spectrum Disorder ResearchMemory and Neural Mechanisms

Perirhinal cortex abnormalities impair hippocampal plasticity and learning in Scn2a , Fmr1 , and Cdkl5 autism mouse models

Open access
Keith, Rachel E., Shen, Yiming, Janzen-Meza, Jordan A., Abramovitz, Joseph, Antonello, Priscila C., Hameed, Aysha, Mohana Krishnan, Baskar, Antoine, Michelle W.·2025·Science Advances
DOI 10.1126/sciadv.adt0780PMC PMC11887805
Open this paper in CoChat — free account

Abstract

Learning and memory deficits, including spatial navigation difficulties, are common in autism spectrum disorder (ASD). Several ASD mouse models ( Scn2a +/− , Fmr1 −/− , Cdkl5 −/− ) exhibit impaired spatial learning, with these deficits often attributed to hippocampal dysfunction. However, we identify the perirhinal cortex (PRC) as a critical driver of these deficits. Cortical-wide Scn2a reduction in excitatory neurons replicated the spatial learning and long-term potentiation (LTP) impairments—a cellular correlate of learning—seen in Scn2a +/− mice, while hippocampal-wide reduction did not. PRC-specific viral-mediated Scn2a reduction in excitatory neurons decreased release probability, which consequently disrupted synaptic transmission and LTP in the hippocampus, as well as spatial learning. As PRC activity was reduced, chemogenetic activation of the PRC reversed these deficits in Scn2a +/− mice and rescued spatial learning and LTP impairments in Fmr1 and Cdkl5 knockout mice. Thus, in several genetic models of ASD, PRC abnormalities may disrupt hippocampal function to impair learning and memory.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/sciadv.adt0780

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Recent studies of ASD mouse models point to a shared disturbance at the level of hippocampal circuits, which may provide a mechanistic convergence for diverse genetic risks.

    “Recent studies of ASD mouse models point to a shared disturbance at the level of hippocampal circuits, which may provide a mechanistic convergence for diverse genetic risks (Keith et al., 2025).”

    From Biological hierarchy from genotype to phenotype in syndromic and non-syndromic autism spectrum disorder (2026) · cites this paper as Keith et al., 2025

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 74

  1. [1]V. Nejati, L. Moradkhani, S. Suggate, P. Jansen, The impact of visual-spatial abilities on theory of mind in children and adolescents with autism spectrum disorder. Res. Dev. Disabil. 114, 103960 (2021). 33895697
  2. [2]M. Prior, W. Hoffmann, Brief report: Neuropsychological testing of autistic children through an exploration with frontal lobe tests. J. Autism Dev. Disord. 20, 581– 590 (1990). 2279976
  3. [3]S. E. Lind, D. M. Williams, J. Raber, A. Peel, D. M. Bowler, Spatial navigation impairments among intellectually high-functioning adults with autism spectrum disorder: Exploring relations with theory of mind, episodic memory, and episodic future thinking. J. Abnorm. Psychol. 122, 1189– 1199 (2013). 24364620 PMC3906800
  4. [4]S. E. Lind, D. M. Williams, D. M. Bowler, A. Peel, Episodic memory and episodic future thinking impairments in high-functioning autism spectrum disorder: An underlying difficulty with scene construction or self-projection? Neuropsychology 28, 55– 67 (2014). 24015827 PMC3906795
  5. [5]M. Ring, S. B. Gaigg, O. de Condappa, J. M. Wiener, D. M. Bowler, Spatial navigation from same and different directions: The role of executive functions, memory and attention in adults with autism spectrum disorder. Autism Res. 11, 798– 810 (2018). 29405653
  6. [7]S. J. Sanders, M. T. Murtha, A. R. Gupta, J. D. Murdoch, M. L. Raubeson, A. J. Willsey, A. G. Ercan-Sancicek, N. M. DiLullo, N. N. Parikshak, J. L. Stein, M. F. Walker, G. T. Ober, N. A. Teran, Y. Song, P. El-Fishawy, R. C. Murtha, M. Choi, J. D. Overton, R. D. Bjornson, N. J. Carriero, K. A. Meyer, K. Bilguvar, S. M. Mane, N. Sestan, R. P. Lifton, M. Günel, K. Roeder, D. H. Geschwind, B. Devlin, M. W. State, De novo mutations revealed by whole-exome sequencing are strongly associated with autism. Nature 485, 237– 241 (2012). 22495306 PMC3667984
  7. [8]K. A. Kruth, T. M. Grisolano, C. A. Ahern, A. J. Williams, SCN2A channelopathies in the autism spectrum of neuropsychiatric disorders: A role for pluripotent stem cells? Mol. Autism. 11, 23 (2020). 32264956 PMC7140374
  8. [9]C. O. Brown, J. A. Uy, N. Murtaza, E. Rosa, A. Alfonso, B. M. Dave, S. Kilpatrick, A. A. Cheng, S. H. White, S. W. Scherer, K. K. Singh, Disruption of the autism-associated gene SCN2A alters synaptic development and neuronal signaling in patient iPSC-glutamatergic neurons. Front. Cell. Neurosci. 17, 1239069 (2024). 38293651 PMC10824931
  9. [10]X. Hu, M. Jing, Y. Wang, Y. Liu, Y. Hua, Functional analysis of a novel de novo SCN2A variant in a patient with seizures refractory to oxcarbazepine. Front. Mol. Neurosci. 16, 1159649 (2023). 37152433 PMC10158977
  10. [11]R. Planells-Cases, M. Caprini, J. Zhang, E. M. Rockenstein, R. R. Rivera, C. Muree, E. Masliah, M. Montal, Neuronal death and perinatal lethality in voltage-gated sodium channel αII-deficient mice. Biophys. J. 78, 2878– 2891 (2000). 10827969 PMC1300874
  11. [12]S. J. Middleton, E. M. Kneller, S. Chen, I. Ogiwara, M. Montal, K. Yamakawa, T. J. McHugh, Altered hippocampal replay is associated with memory impairment in mice heterozygous for the Scn2a gene. Nat. Neurosci. 21, 996– 1003 (2018). 29867081 PMC7306226
  12. [13]W. Shin, H. Kweon, R. Kang, D. Kim, K. Kim, M. Kang, S. Y. Kim, S. N. Hwang, J. Y. Kim, E. Yang, H. Kim, E. Kim, Scn2a Haploinsufficiency in mice suppresses hippocampal neuronal excitability, excitatory synaptic drive, and long-term potentiation, and spatial learning and memory. Front. Mol. Neurosci. 12, 145 (2019). 31249508 PMC6582764
  13. [14]W. Fyke, M. Velinov, FMR1 and autism, an intriguing connection revisited. Genes 12, 1218 (2021). 34440392 PMC8394635
  14. [15]J. D. Richter, X. Zhao, The molecular biology of FMRP: New insights into fragile X syndrome. Nat. Rev. Neurosci. 22, 209– 222 (2021). 33608673 PMC8094212
  15. [16]S. Tang, B. Terzic, I. J. Wang, N. Sarmiento, K. Sizov, Y. Cui, H. Takano, E. D. Marsh, Z. Zhou, D. A. Coulter, Altered NMDAR signaling underlies autistic-like features in mouse models of CDKL5 deficiency disorder. Nat. Commun. 10, 2655 (2019). 31201320 PMC6572855
  16. [17]K. M. Cornish, F. Munir, G. Cross, Spatial cognition in males with fragile-X syndrome: Evidence for a neuropsychological phenotype. Cortex 35, 263– 271 (1999). 10369098
  17. [18]D. Van Dam, R. D’Hooge, E. Hauben, E. Reyniers, I. Gantois, C. E. Bakker, B. A. Oostra, R. F. Kooy, P. P. De Deyn, Spatial learning, contextual fear conditioning and conditioned emotional response in Fmr1 knockout mice. Behav. Brain Res. 117, 127– 136 (2000). 11099766
  18. [19]A. Adhikari, F. K. B. Buchanan, T. A. Fenton, D. L. Cameron, J. A. N. M. Halmai, N. A. Copping, K. D. Fink, J. L. Silverman, Touchscreen cognitive deficits, hyperexcitability and hyperactivity in males and females using two models of Cdkl5 deficiency. Hum. Mol. Genet. 31, 3032– 3050 (2022). 35445702 PMC9476626
  19. [20]J. N. Crawley, Designing mouse behavioral tasks relevant to autistic-like behaviors. Ment. Retard. Dev. Disabil. Res. Rev. 10, 248– 258 (2004). 15666335
  20. [21]M. E. Bach, R. D. Hawkins, M. Osman, E. R. Kandel, M. Mayford, Impairment of spatial but not contextual memory in CaMKII mutant mice with a selective loss of hippocampal LTP in the range of the θ frequency. Cell 81, 905– 915 (1995). 7781067
  21. [22]M. W. Pitts, Barnes maze procedure for spatial learning and memory in mice. Bio. Protoc. 8, e2744 (2018). PMC5891830 29651452
  22. [23]P. Moretti, J. M. Levenson, F. Battaglia, R. Atkinson, R. Teague, B. Antalffy, D. Armstrong, O. Arancio, J. D. Sweatt, H. Y. Zoghbi, Learning and memory and synaptic plasticity are impaired in a mouse model of Rett syndrome. J. Neurosci. 26, 319– 327 (2006). 16399702 PMC6674314
  23. [24]M. Kouser, H. E. Speed, C. M. Dewey, J. M. Reimers, A. J. Widman, N. Gupta, S. Liu, T. C. Jaramillo, M. Bangash, B. Xiao, P. F. Worley, C. M. Powell, Loss of predominant Shank3 isoforms results in hippocampus-dependent impairments in behavior and synaptic transmission. J. Neurosci. 33, 18448– 18468 (2013). 24259569 PMC3834052
  24. [25]T. V. Bliss, G. L. Collingridge, A synaptic model of memory: Long-term potentiation in the hippocampus. Nature 361, 31– 39 (1993). 8421494
  25. [26]S. M. Dudek, M. F. Bear, Bidirectional long-term modification of synaptic effectiveness in the adult and immature hippocampus. J. Neurosci. 13, 2910– 2918 (1993). 8331379 PMC6576673
  26. [27]N. Collinson, F. M. Kuenzi, W. Jarolimek, K. A. Maubach, R. Cothliff, C. Sur, A. Smith, F. M. Otu, O. Howell, J. R. Atack, R. M. McKernan, G. R. Seabrook, G. R. Dawson, P. J. Whiting, T. W. Rosahl, Enhanced learning and memory and altered GABAergic synaptic transmission in mice lacking the α5 subunit of the GABAA receptor. J. Neurosci. 22, 5572– 5580 (2002). 12097508 PMC6758233
  27. [28]A. Y. Hung, K. Futai, C. Sala, J. G. Valtschanoff, J. Ryu, M. A. Woodworth, F. L. Kidd, C. C. Sung, T. Miyakawa, M. F. Bear, R. J. Weinberg, M. Sheng, Smaller dendritic spines, weaker synaptic transmission, but enhanced spatial learning in mice lacking Shank1. J. Neurosci. 28, 1697– 1708 (2008). 18272690 PMC2633411
  28. [29]S. Kim, T. Kim, H. R. Lee, E. H. Jang, H. H. Ryu, M. Kang, S. Y. Rah, J. Yoo, B. Lee, J. I. Kim, C. S. Lim, S. J. Kim, U. Kim, Y. Lee, B. Kaang, Impaired learning and memory in CD38 null mutant mice. Mol. Brain 9, 16 (2016). 26856703 PMC4746819
  29. [30]I. Ogiwara, H. Miyamoto, T. Tatsukawa, T. Yamagata, T. Nakayama, N. Atapour, E. Miura, E. Mazaki, S. J. Ernst, D. Cao, H. Ohtani, S. Itohara, Y. Yanagawa, M. Montal, M. Yuzaki, Y. Inoue, T. K. Hensch, J. L. Noebels, K. Yamakawa, Nav1.2 haplodeficiency in excitatory neurons causes absence-like seizures in mice. Commun. Biol. 1, 1– 16 (2018). 30175250 PMC6115194
  30. [31]P. W. Spratt, R. Ben-Shalom, C. M. Keeshen, K. J. Burke, R. L. Clarkson, S. J. Sanders, K. J. Bender, The autism-associated gene Scn2a contributes to dendritic excitability and synaptic function in prefrontal cortex. Neuron 103, 673– 685.e5 (2019). 31230762 PMC7935470
  31. [32]W. Hu, C. Tian, M. Yang, H. Hou, Y. Shu, Distinct contributions of Nav1.6 and Nav1.2 in action potential initiation and backpropagation. Nat. Neurosci. 12, 996– 1002 (2009). 19633666
  32. [33]W. A. Catterall, Forty years of sodium channels: Structure, function, pharmacology, and epilepsy. Neurochem. Res. 42, 2495– 2504 (2017). 28589518 PMC5693772
  33. [35]S. M. O’Mara, J. P. Aggleton, Space and memory (far) beyond the hippocampus: Many subcortical structures also support cognitive mapping and mnemonic processing. Front. Neural Circuits 13, 52 (2019). 31447653 PMC6692652
  34. [36]J. A. Gorski, T. Talley, M. Qiu, L. Puelles, J. L. R. Rubenstein, K. R. Jones, Cortical excitatory neurons and glia, but not GABAergic neurons, are produced in the Emx1-expressing lineage. J. Neurosci. 22, 6309– 6314 (2002). 12151506 PMC6758181
  35. [37]M. W. Brown, J. P. Aggleton, Recognition memory: What are the roles of the perirhinal cortex and hippocampus? Nat. Rev. Neurosci. 2, 51– 61 (2001). 11253359
  36. [38]F. Chersi, N. Burgess, The cognitive architecture of spatial navigation: Hippocampal and striatal contributions. Neuron 88, 64– 77 (2015). 26447573
  37. [39]E. Bermudez-Contreras, B. J. Clark, A. Wilber, The neuroscience of spatial navigation and the relationship to artificial intelligence. Front. Comput. Neurosci. 14, 63 (2020). 32848684 PMC7399088
  38. [40]E. Z. Patai, H. J. Spiers, The versatile wayfinder: Prefrontal contributions to spatial navigation. Trends Cogn. Sci. 25, 520– 533 (2021). 33752958
  39. [42]M. A. Lynch, Long-term potentiation and memory. Physiol. Rev. 84, 87– 136 (2004). 14715912
  40. [43]A. Kumar, Long-term potentiation at CA3-CA1 hippocampal synapses with special emphasis on aging, disease, and stress. Front. Aging Neurosci. 3, 7 (2011). 21647396 PMC3102214
  41. [44]B. C. Albensi, D. R. Oliver, J. Toupin, G. Odero, Electrical stimulation protocols for hippocampal synaptic plasticity and neuronal hyper-excitability: Are they effective or relevant? Exp. Neurol. 204, 1– 13 (2007). 17258711
  42. [45]G. K. Sheridan, E. Moeendarbary, M. Pickering, J. J. O’Connor, K. J. Murphy, Theta-burst stimulation of hippocampal slices induces network-level calcium oscillations and activates analogous gene transcription to spatial learning. PLOS ONE 9, e100546 (2014). 24950243 PMC4065069
  43. [46]W. B. Scoville, B. Milner, Loss of recent memory after bilateral hippocampal lesions. J. Neuropsychiatry Clin. Neurosci. 20, 11– 21 (1957). 10678523
  44. [47]L. R. Squire, C. E. L. Stark, R. E. Clark, The medial temporal lobe. Annu. Rev. Neurosci. 27, 279– 306 (2004). 15217334
  45. [48]M. Egger, W. Luo, N. Cruz-Ochoa, D. Lukacsovich, C. Varga, L. Que, G. Maloveczky, J. Winterer, R. Kaur, T. Lukacsovich, C. Földy, Commissural dentate granule cell projections and their rapid formation in the adult brain. PNAS Nexus 2, pgad088 (2023). 37077887 PMC10109062
  46. [49]J. J. Bos, M. Vinck, L. A. van Mourik-Donga, J. C. Jackson, M. P. Witter, C. M. A. Pennartz, Perirhinal firing patterns are sustained across large spatial segments of the task environment. Nat. Commun. 8, 15602 (2017). 28548084 PMC5458559
  47. [50]G. M. Muir, D. K. Bilkey, Instability in the place field location of hippocampal place cells after lesions centered on the perirhinal cortex. J. Neurosci. 21, 4016– 4025 (2001). 11356888 PMC6762702
  48. [51]P. A. Naber, M. P. Witter, F. H. L. Da Silva, Perirhinal cortex input to the hippocampus in the rat: Evidence for parallel pathways, both direct and indirect. A combined physiological and anatomical study. Eur. J. Neurosci. 11, 4119– 4133 (1999). 10583500
  49. [52]X. Lin, M. Amalraj, C. Blanton, B. Avila, T. C. Holmes, D. A. Nitz, X. Xu, Noncanonical projections to the hippocampal CA3 regulate spatial learning and memory by modulating the feedforward hippocampal trisynaptic pathway. PLOS Biol. 19, e3001127 (2021). 34928938 PMC8741299
  50. [53]H. Zhu, D. K. Aryal, R. H. J. Olsen, D. J. Urban, A. Swearingen, S. Forbes, B. L. Roth, U. Hochgeschwender, Cre-dependent DREADD (designer receptors exclusively activated by designer drugs) mice. Genesis 54, 439– 446 (2016). 27194399 PMC4990490
  51. [54]E. Ren, V. Roncacè, S. Trazzi, C. Fuchs, G. Medici, L. Gennaccaro, M. Loi, G. Galvani, K. Ye, R. Rimondini, G. Aicardi, E. Ciani, Functional and structural impairments in the perirhinal cortex of a mouse model of CDKL5 deficiency disorder are rescued by a TrkB agonist. Front. Cell. Neurosci. 13, 169 (2019). 31114483 PMC6503158
  52. [55]L. Gennaccaro, C. Fuchs, M. Loi, V. Roncacè, S. Trazzi, Y. Ait-Bali, G. Galvani, A. C. Berardi, G. Medici, M. Tassinari, E. Ren, R. Rimondini, M. Giustetto, G. Aicardi, E. Ciani, A GABAB receptor antagonist rescues functional and structural impairments in the perirhinal cortex of a mouse model of CDKL5 deficiency disorder. Neurobiol. Dis. 153, 105304 (2021). 33621640
  53. [56]A. Lorincz, Z. Nusser, Molecular identity of dendritic voltage-gated sodium channels. Science 328, 906– 909 (2010). 20466935 PMC3546315
  54. [57]C. Tai, Y. Abe, R. E. Westenbroek, T. Scheuer, W. A. Catterall, Impaired excitability of somatostatin- and parvalbumin-expressing cortical interneurons in a mouse model of Dravet syndrome. Proc. Natl. Acad. Sci. U.S.A. 111, E3139– E3148 (2014). 25024183 PMC4121787
  55. [59]L. K. Kaczmarek, Loss of NaV1.2-dependent backpropagating action potentials in dendrites contributes to autism and intellectual disability. Neuron 103, 551– 553 (2019). 31437449
  56. [60]T. Ono, K. Nakamura, M. Fukuda, R. Tamura, Place recognition responses of neurons in monkey hippocampus. Neurosci. Lett. 121, 194– 198 (1991). 2020375
  57. [61]G. Quirk, R. Muller, J. Kubie, J. B. Ranck Jr., The positional firing properties of medial entorhinal neurons: Description and comparison with hippocampal place cells. J. Neurosci. 12, 1945– 1963 (1992). 1578279 PMC6575876
  58. [63]X. Long, S.-J. Zhang, A novel somatosensory spatial navigation system outside the hippocampal formation. Cell Res. 31, 649– 663 (2021). 33462427 PMC8169756
  59. [64]R. D. Burwell, D. G. Amaral, Cortical afferents of the perirhinal, postrhinal, and entorhinal cortices of the rat. J. Comp. Neurol. 398, 179– 205 (1998). 9700566
  60. [66]G. Doron, J. N. Shin, N. Takahashi, M. Drüke, C. Bocklisch, S. Skenderi, L. de Mont, M. Toumazou, J. Ledderose, M. Brecht, R. Naud, M. E. Larkum, Perirhinal input to neocortical layer 1 controls learning. Science 370, eaaz3136 (2020). 33335033 PMC7612443
  61. [67]R. U. Muller, J. L. Kubie, J. B. Ranck Jr., Spatial firing patterns of hippocampal complex-spike cells in a fixed environment. J. Neurosci. 7, 1935– 1950 (1987). 3612225 PMC6568929
  62. [68]L. T. Thompson, P. J. Best, Long-term stability of the place-field activity of single units recorded from the dorsal hippocampus of freely behaving rats. Brain Res. 509, 299– 308 (1990). 2322825
  63. [69]J. P. Aggleton, M. W. Brown, Interleaving brain systems for episodic and recognition memory. Trends Cogn. Sci. 10, 455– 463 (2006). 16935547
  64. [70]A. Mayes, D. Montaldi, E. Migo, Associative memory and the medial temporal lobes. Trends Cogn. Sci. 11, 126– 135 (2007). 17270487
  65. [71]X. Li, Y. Li, J. Zhang, X. Zhang, Selective targeting of perirhinal cortex projection to hippocampal CA1 interneurons. Neurosci. Bull. 35, 763– 765 (2019). 30879176 PMC6617490
  66. [72]P. A. Naber, F. H. Lopes da Silva, M. P. Witter, Reciprocal connections between the entorhinal cortex and hippocampal fields CA1 and the subiculum are in register with the projections from CA1 to the subiculum. Hippocampus 11, 99– 104 (2001). 11345131
  67. [73]P. A. Naber, M. Caballero-Bleda, B. Jorritsma-Byham, M. P. Witter, Parallel input to the hippocampal memory system through peri- and postrhinal cortices. Neuroreport 8, 2617– 2621 (1997). 9261838
  68. [75]Z. N. Talbot, F. T. Sparks, D. Dvorak, B. M. Curran, J. M. Alarcon, A. A. Fenton, Normal CA1 place fields but discoordinated network discharge in a Fmr1-null mouse model of fragile X syndrome. Neuron 97, 684– 697.e4 (2018). 29358017 PMC6066593
  69. [76]T. Arbab, C. M. A. Pennartz, F. P. Battaglia, Impaired hippocampal representation of place in the Fmr1-knockout mouse model of fragile X syndrome. Sci. Rep. 8, 8889 (2018). 29892074 PMC5995880
  70. [77]B. Qin, L. Wang, J. Cai, T. Li, Y. Zhang, Functional brain networks in preschool children with autism spectrum disorders. Front. Psych. 13, 896388 (2022). PMC9289162 35859600
  71. [78]R. Gersner, E. Kravetz, J. Feil, G. Pell, A. Zangen, Long-term effects of repetitive transcranial magnetic stimulation on markers for neuroplasticity: Differential outcomes in anesthetized and awake animals. J. Neurosci. 31, 7521– 7526 (2011). 21593336 PMC6622610
  72. [79]V. Kozyrev, R. Staadt, U. T. Eysel, D. Jancke, TMS-induced neuronal plasticity enables targeted remodeling of visual cortical maps. Proc. Natl. Acad. Sci. U.S.A. 115, 6476– 6481 (2018). 29866856 PMC6016806
  73. [80]C. Zrenner, D. Desideri, P. Belardinelli, U. Ziemann, Real-time EEG-defined excitability states determine efficacy of TMS-induced plasticity in human motor cortex. Brain Stimul. 11, 374– 389 (2018). 29191438
  74. [82]X. Niu, K. Yu, B. He, Transcranial focused ultrasound induces sustained synaptic plasticity in rat hippocampus. Brain Stimul. 15, 352– 359 (2022). 35104664 PMC9295311

Cited by

Sorted by citations

Authors
Keith, R. E., Shen, Y., Janzen-Meza, J. A., Abramovitz, J., Antonello, P. C., Hameed, A., Mohana Krishnan, B., & Antoine, M. W.
Affiliations
  • National Institutes of Health (US)
  • Washington University in St. Louis (US)
  • George Mason University (US)
  • Section on Neural Circuits, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Corresponding author
  • Keith, Rachel E.
  • Shen, Yiming
  • Antoine, Michelle W.
ORCID
Venue
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Published
2025-03-07
Volume
11
Issue
10
Pages
eadt0780-eadt0780
ISSN
2375-2548 (ISSN-L)
DOI
10.1126/sciadv.adt0780
PMC
PMC11887805
OpenAlex
W4408235679
Cited by
8
References
8
Citations by year
2026: 5 · 2025: 3
FWCI
4.70
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Science Advances (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Institute of Neurological Disorders and Stroke (T32NS121881)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
autism spectrum disorder, perirhinal cortex, hippocampal plasticity, spatial learning, long-term potentiation, SCN2A, FMR1 gene, CDKL5, excitatory neurons, synaptic transmission, release probability, chemogenetic activation, viral gene silencing, mouse models of autism, memory impairment
MeSH terms
Autism Spectrum Disorder, Perirhinal Cortex, Animals, Autistic Disorder, Disease Models, Animal, Hippocampus, Learning, Male, Neuronal Plasticity, Protein Serine-Threonine Kinases, Long-Term Potentiation, Mice, Knockout, Mice, Fragile X Mental Retardation Protein, Fragile X Messenger Ribonucleoprotein 1, NAV1.2 Voltage-Gated Sodium Channel, Spatial Learning

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