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Computationally modeling large-scale neural dynamics in autism using existing neuroimaging and transcriptomic datasets

Noninvasive neuroimaging, such as fMRI, has provided insights into dysfunction of large-scale neural systems in ASD and its relationship to cognitive deficits, yet it is unclear how such biomarkers relate to cellular and synaptic features of human brains. To help bridge this gap, John Murray and Alan Anticevic will utilize existing ASD neuroimaging data sets to provide insight about: (i) cortical circuit alterations in a mechanistic computational model, (ii) brain-behavior relationships across individuals and (iii) brain-wide patterns of gene expression in ASD.

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Role of the autism risk gene Scn2a in oligodendrocyte-mediated myelination and circuit development

Jun Hee Kim will investigate how Scn2a expression in oligodendrocytes contributes to myelination and neural connectivity during brain development in mice and determine whether loss of oligodendroglial Scn2a impacts social and cognitive behaviors relevant to autism. Understanding how deficits in Nav1.2-mediated oligodendroglial excitability and adaptive myelination could contribute to autism may generate new potential therapeutic strategies for treating this disorder.

Elucidating the role of chromatin-modifying complexes in autism spectrum disorder

Pierre Mattar proposes to identify and characterize how chromatin-remodeling enzymes regulate neurogenesis in the developing brain and how dysfunction in these complexes contribute to ASD. Specifically, his team aims to determine how chromatin-remodeling functions are disrupted by ASD-linked mutations in ADNP, a gene that encodes a transcription factor that interacts with chromodomain helicase proteins, and how this affects neural progenitor cell function in the developing mouse neocortex.

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The influence of ASD risk genes on corticostriatal circuit development and reinforcement learning

Linda Wilbrecht proposes that an inability to appropriately update behavior based on probabilistic feedback represents a core learning deficit in ASD and that specific frontal-striatal circuits may contribute to these deficits. She will test these ideas in two genetic mouse models of ASD to help determine if ASD risk genes affect specific forms of learning and/or specific cell types more than others.

Enhancement of neurexin-1 function in a genetic mouse model: A novel approach to restore synaptic pathways disrupted in autism

Genetic studies of ASD implicate alterations in synaptic development and signaling, with the synaptic protein neurexin-1 playing a pivotal role. Ann Marie Craig aims to develop new approaches to overcome neurexin-1-linked synaptic deficits in ASD by modulating the remaining NRXN1 allele to boost neurexin-1 function and restore synaptic structure and function.

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