Development of a Prediction Model for Onset and Treatment Response of Internet Addiction and ADHD in the Digital Generation Using Longitudinal Brain Dynamics Data and Smartphone Log Data

Research Period:
FY2025-FY2029

Principal Investigator

Hidehiko Takahashi
Professor, Institute of Science Tokyo Graduate School of Medical and Dental Sciences
This study aims to evaluate the risks of internet addiction and ADHD in adolescence and to predict treatment effects by utilizing longitudinal brain MRI data. From the perspective of dynamic state transitions in the brain, we will assess both the shared and unique effects of various interventions as well as the risk of onset. Furthermore, by linking real-life behavioral and mental state fluctuations with brain dynamics, we will construct predictive models based on these findings, contributing to severity assessment, individualized treatment selection, and personalized intervention strategies.

Co-Investigator

Ayumu Yamashita
Assistant Professor, The University of Tokyo Graduate School of Information Science and Technology
Haruto Takagishi
Professor, Brain Science Institute, Tamagawa University
Hiroshi Imamizu
Director, Cognitive Mechanisms Laboratories, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International (ATR)