Abstract
Neurodevelopmental disorders (NDDs) are a complex group of disorders resulting from disturbances of the nervous system that occur early in neurodevelopmental stages and present with complex interrelated symptoms. The number of people affected by NDDs in developed countries continues to increase, yet no curative medicine has yet been developed. To overcome the situation, it is important to establish a model of the disease using rodents, and a variety of models are needed to match the complex symptoms. Genetic analysis has so far identified many responsible/risk genes for NDDs, while environmental factors such as maternal drug exposure, maternal immune activation, and paternal aging are also known to induce NDDs. It is also important to develop analytical systems tailored to the symptoms. In this talk, I would like to introduce these pathological models analyzed in our laboratory and mention a new analysis system that utilizes artificial intelligence and machine learning with big data. Through this talk, I hope to discuss the latest research trends and methodologies for elucidating the etiopathogenesis of NDDs, to better understand the mechanisms, and to contribute to the development of promising therapeutic strategies in future.
