OUTCOMES

2022.04.12

Development of a schizophrenia-specific classifier using machine learning of brain image data

Dr. Koike (Research Group 1-2, Brain/MINDS Beyond), an associate professor at the University of Tokyo, has developed a classifier using structural brain images in chronic schizophrenia, which could classify independent datasets with high precision. This could be useful in the differential diagnosis of diseases in the future.

OUTCOMES

2021.12.16

Data Sharing at international level: Recommendations for data protection and data governance

IBI Data Standards and Sharing Working Group (WG) has published a Position Paper on international data governance. Prof. Hanakawa (Kyoto University) is a member of this WG.

OUTCOMES

2021.11.25

Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one and half year later: a longitudinal online survey of the Japanese population

We conducted a data-driven analysis of psychiatric symptoms in the general population during the COVID-19 pandemic. Specifically, we examined the underlying trajectories of the psychiatric symptoms’ principal components and their risk and protective factors.

OTHERS

2021.09.10

The BMB-HBM Project website is renewed

An overview of the BMB-HBM Project, data acquisition procedures, preprocessing technologies, and how to conduct collaborative research using Brain/MIND Beyond's data are introduced.