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The autism spectrum disorder risk gene NEXMIF over-synchronizes hippocampal CA1 network and alters neuronal coding.
Mount, Rebecca A; Athif, Mohamed; O'Connor, Margaret; Saligrama, Amith; Tseng, Hua-An; Sridhar, Sudiksha; Zhou, Chengqian; Bortz, Emma; San Antonio, Erynne; Kramer, Mark A; Man, Heng-Ye; Han, Xue.
Afiliación
  • Mount RA; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Athif M; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • O'Connor M; Department of Biology, Boston University, Boston, MA, United States.
  • Saligrama A; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Tseng HA; Commonwealth School, Boston, MA, United States.
  • Sridhar S; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Zhou C; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Bortz E; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • San Antonio E; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Kramer MA; Department of Biomedical Engineering, Boston University, Boston, MA, United States.
  • Man HY; Department of Mathematics, Boston University, Boston, MA, United States.
  • Han X; Department of Biology, Boston University, Boston, MA, United States.
Front Neurosci ; 17: 1277501, 2023.
Article en En | MEDLINE | ID: mdl-37965217
ABSTRACT
Mutations in autism spectrum disorder (ASD) risk genes disrupt neural network dynamics that ultimately lead to abnormal behavior. To understand how ASD-risk genes influence neural circuit computation during behavior, we analyzed the hippocampal network by performing large-scale cellular calcium imaging from hundreds of individual CA1 neurons simultaneously in transgenic mice with total knockout of the X-linked ASD-risk gene NEXMIF (neurite extension and migration factor). As NEXMIF knockout in mice led to profound learning and memory deficits, we examined the CA1 network during voluntary locomotion, a fundamental component of spatial memory. We found that NEXMIF knockout does not alter the overall excitability of individual neurons but exaggerates movement-related neuronal responses. To quantify network functional connectivity changes, we applied closeness centrality analysis from graph theory to our large-scale calcium imaging datasets, in addition to using the conventional pairwise correlation analysis. Closeness centrality analysis considers both the number of connections and the connection strength between neurons within a network. We found that in wild-type mice the CA1 network desynchronizes during locomotion, consistent with increased network information coding during active behavior. Upon NEXMIF knockout, CA1 network is over-synchronized regardless of behavioral state and fails to desynchronize during locomotion, highlighting how perturbations in ASD-implicated genes create abnormal network synchronization that could contribute to ASD-related behaviors.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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