Research Group 1

A comprehensive study involving longitudinal analyses of cerebral images from healthy to pathological states by life stages (developmental, adulthood, and senile stages).


Identification of the pathogenic mechanism of mental and neurological disorders through acquisition and analysis of cerebral MRI-scan images and clinical data, etc.

The mechanism of brain development and disorders in adolescence and young adulthood (AYA) through international MRI collaborations

笠井 清登

Kiyoto KASAI

M.D., Ph.D., Professor, Graduate School of Medicine, The University of Tokyo

The onset of many psychiatric disorders usually occurs in adolescents and young adults (AYA). The substrates of brain maturation in the AYA generation largely remain undiscovered. In our current research project, we will acquire longitudinal MRI data of patients with schizophrenia, those with developmental disorders, and typical developing individuals using the Human Connectome Project (HCP) protocol. In addition, we will share MRI data with our international collaborators. Through these approaches, we aim to elucidate mechanisms regarding the onset of psychiatric disorders in the AYA generation and to identify brain-circuit-based biomarkers that will be useful in diagnosis and predicting treatment outcomes.


Elucidation of neural circuits of mood disorder in adults and related disorders based on longitudinal MRI data

岡本 泰昌

Yasumasa OKAMOTO

M.D., Ph.D., Professor, Graduate School of Biomedical Medical Sciences, Hiroshima University

We obtain longitudinal MRI data and the associated clinical data targeting mood disorders (depression and bipolar disorders), anxiety disorders, obsessive-compulsive disorders, schizophrenia, subthreshold depression and healthy individuals in adulthood. By using this data and applying AI technology to the analyses, we propose a method to distinguish between bipolar disorder and depression, a method for predicting responses to treatment (clinical course) and biotypes based on the five diseases. We also contribute to the elucidation of the pathogenic mechanism by assessing MRI images showing changes from subthreshold depression to depression.


Parkinson’s disease and Alzheimer’s disease Neuroimaging Initiative (PADNI) supported by MRI reference panels based on community-based cohort data

花川 隆


M.D., Ph.D., Director, Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the most common neurodegenerative disorders involving the elderly population. In this multi-center study, we aim to collect MRI data from participants with either AD or PD, “super-healthy” elderly people defined as being at risk of AD or PD, and intermediate states such as mild cognitive impairment (MCI). Simultaneously, we will develop an MRI reference panel representing the healthy elderly population derived from a mega-scale cohort study including 10,000 participants. By combining a cutting-edge MRI analysis of the multi-center data and the reference panel, we will clarify the similarities and differences of the neural circuits responsible for AD and PD.


Cerebral MRI-scan image data platform

Integrative MRI data platform across the lifespan and disorders toward international brain science collaborations

笠井 清登

Kiyoto KASAI

M.D., Ph.D., Professor, Graduate School of Medicine, The University of Tokyo

Human brain imaging data has expanded in quality and quantity because of the progress of analysis methods and measurement techniques and the development of domestic and international collaborative studies. However, a framework has not been established to easily provide large datasets to researchers. In this study, we aim to develop a framework to manage and provide large-scale MRI datasets on healthy populations and neuropsychiatric disorders across life-span in Japan for promoting international collaborations.