Division of Human Imaging
The goal of the Human Imaging Division is to elucidate the multilevel pathogenesis of neurodegenerative diseases based on brain imaging. We are conducting cutting-edge multimodal brain imaging research in close collaboration with the Department of Radiology, aiming at the development of ultra-early diagnosis methods and innovative biomarkers. We also collect brain images and biological samples, and use AI and mathematical models to assess the relationship between brain imaging findings and multi-level pathophysiological conditions to discover new therapeutic targets.
Watanabe Hirohisa Neurology Professor
We have been building a large-scale registry of high-quality clinical data, brain images, and biological samples for neurodegenerative diseases, and using this registry to conduct network analysis, mathematical modeling, and consortium-based studies of molecular pathology.
Yasuaki Mizutani Lecturer, Department of Neurology
I am promoting research on biomarkers involved in the pathogenesis of neurodegenerative diseases through the high-quality storage of biological samples and new methods of measurement/analysis in cooperation with investigators in our university and other institutions, and I am engaged in the establishment/management of a registry system for patients with neurodegenerative diseases and healthy adults.
Ryunosuke Nagao Assistant Professor, Department of Neurology
I am analyzing clinical data on neurodegenerative diseases, represented by multiple system atrophy, and brain function images to clarify the pathogenesis of these diseases for early diagnosis/therapeutic intervention and the development of specific biomarkers.
Toshiki Maeda Assistant Professor, Department of Neurology
I am promoting research to clarify the pathogenesis of Parkinson’s disease using procedures, such as cerebral blood flow SPECT, adopting the latest statistical analysis methods. Results regarding the etiology of a reduction in primary visual cortex blood flow in the presence of this disease have been obtained.
Fumihiko Banno Assistant Professor, Department of Neurology
I am promoting research for the early diagnosis of neurodegenerative diseases, such as progressive supranuclear palsy and Parkinson’s disease, using the latest MRI methods, including quantitative susceptibility imaging.
Kazutaka Hayashi Assistant Professor, Department of Neurology
I am investigating the clinical and image characteristics of diseases, including posterior spinal artery syndrome, useful for diagnosis and treatment by comparing/analyzing MRI findings of the spinal cord and their serial changes.
- Kawabata K, Bagarina E, Watanabe H, et al. Bridging Large-Scale Cortical Networks: Integrative and Function-Specific Hubs in the Thalamus. iScience. 2021, https://doi.org/10.1016/j.isci.2021.103106
- Bagarinao E, Watanabe H, Maesawa S, et al. Identifying the brain’s connector hubs at the voxel level using functional connectivity overlap ratio. Neuroimage 2020;222:117241.
- Choy SW, Bagarinao E, Watanabe H, et al. Changes in white matter fiber density and morphology across the adult lifespan: A cross-sectional fixel-based analysis. Hum Brain Mapp 2020;41(12):3198-3211
- Ogura A, Watanabe H, Kawabata K, et al. Semantic deficits in ALS related to right lingual/fusiform gyrus network involvement. EBioMedicine. 2019;47:506-517.
- Bagarinao E, Watanabe H, Maesawa S, et al. An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan. Neuroimage. 2018;169:134-144.
Division of Human Imaging（Neurology, School of Medicine）
Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan
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