Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data.

ABSTRACT: Reconstructing brain connectivity at sufficient resolution for computational models designed to study the biophysical mechanisms underlying cognitive processes is extremely challenging. For such a purpose, a mesoconnectome that includes laminar and cell-class specificity would be a major step forward. We analyzed the ability of gene expression patterns to predict cell-class and layer-specific projection patterns and assessed the functional annotations of the most predictive groups of genes. To achieve our goal we used publicly available volumetric gene expression and connectivity data and we trained computational models to learn and predict cell-class and layer-specific axonal projections using gene expression data. Predictions were done in two ways, namely predicting projection strengths

SUBMITTER: Timonidis N 

PROVIDER: S-EPMC7498447 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature