Brain singularity revealed by whole-brain imaging and machine learning

Abstract

Neurons of the mammalian nervous systems are highly diverse in their development, structure and function. In the present study, we aim to investigate the molecular pathophysiology of brain disorders by developing highly scalable and high-speed imaging system (block-FAce Serial microscopy Tomography, FAST) and developing animal disease models and iPS cell-derived neurons established from patients. For this aim, we are particularly interested in identifying "brain singularity biology (e.g., cellular and circuit mechanisms)" through unbiased and hypothesis-free approaches using whole-brain activation mapping coupled with machine learning. In this symposium, we will introduce our recent progress and discuss the directions of future research that would contribute to a better understanding of the brain systems as well as brain disorders.