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5. A myelin-related transcriptomic profile is shared by Pitt–Hopkins syndrome models and human autism spectrum disorder

6. 302. Investigating the Impact of Common Genetic Risk Variants for Schizophrenia on Neuronal Function Elucidates Relationships Between Cellular Phenotypes, Clinical Status and Cognitive Performance

8. Promyelinating drugs promote functional recovery in an autism spectrum disorder mouse model of Pitt–Hopkins syndrome

9. Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions

10. TCF4 mutations disrupt synaptic function through dysregulation of RIMBP2 in patient-derived cortical neurons

13. Schizophrenia Risk Genes Converge into Shifting Co-Expression Networks Across Brain Development, Ageing and Brain Regions

14. Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance

15. TH71. ELECTROPHYSIOLOGICAL MEASURES FROM HUMAN IPSC-DERIVED NEURONS ARE ASSOCIATED WITH SCHIZOPHRENIA CLINICAL STATUS AND PREDICT INDIVIDUAL COGNITIVE PERFORMANCE

17. Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance

18. TCF4 mutations disrupt synaptic function through dysregulation of RIMBP2 in patient-derived cortical neurons.

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