Targeted: Autism BrainNet Analysis

Topology of cortical and thalamic gene expression changes in autism

In a highly collaborative effort involving three laboratories, Daniel Geschwind, Michael Gandal and Dorothy Schafer plan to explore the relationship between cortical and thalamic changes in ASD postmortem brain samples using single-cell genomic approaches, including RNAseq, ATAC-seq and spatial transcriptomics by MERFISH. This will allow for a comprehensive evaluation of the molecular changes in these circuits and their relationship to each other at a cellular level.

Classifying axon pathology in autism using machine learning and deep neural network analyses

In the current project, Basilis Zikopoulos and Arash Yazdanbakhsh plan to use sophisticated methodologies of machine learning to classify white matter cortical pathways in postmortem brain tissue samples from individuals with ASD and neurotypical individuals. Results from this study will provide novel data on key features of typical cortical white matter pathways and axon pathology in ASD.

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