| Unique ID issued by UMIN | UMIN000062473 |
|---|---|
| Receipt number | R000071502 |
| Scientific Title | Evaluation of Brain Microstructure Using Diffusion MRI Models |
| Date of disclosure of the study information | 2026/09/01 |
| Last modified on | 2026/08/09 19:10:07 |
A Study of Brain Microstructure Using an Advanced MRI Technique
Brain Microstructure MRI Study
Evaluation of Brain Microstructure Using Diffusion MRI Models
DWI Brain Microstructure Study
| Japan |
neurological disorders, such as Parkinson's disease and epilepsy
| Radiology |
Others
NO
The objective of this study is to investigate the feasibility, measurement reproducibility, and potential clinical utility of brain microstructural assessment using Soma and Neurite Density Imaging in healthy participants and patients with neurological disorders, including Parkinson's disease and epilepsy. In healthy participants, imaging and analysis methods will be optimized, and the normal brain distribution, age-related changes, and reproducibility of Diffusion MRI-derived metrics will be evaluated. In patients with neurological disorders, Diffusion MRI-derived metrics in lesions or disease-related brain regions will be compared with those in healthy participants or corresponding contralateral regions. Associations with clinical symptoms, disease severity, disease duration, imaging and physiological findings, pathological findings, treatment, and clinical course will also be explored.
Efficacy
The primary outcomes are the brain distribution and measurement reproducibility of Diffusion MRI-derived microstructural metrics. In patients with neurological disorders, Diffusion MRI-derived metrics in lesions or disease-related brain regions will be compared with those in corresponding contralateral regions or healthy participants.
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
1
Diagnosis
| Device,equipment |
Healthy participants and patients with neurological disorders, including Parkinson's disease and epilepsy, will undergo brain MRI including Diffusion MRI using a 3-T MRI scanner. The Diffusion MRI acquisition time will vary depending on the imaging protocol and will generally range from approximately 5 to 20 minutes.
| 18 | years-old | <= |
| Not applicable |
Male and Female
Healthy participants aged 18 years or older, or patients with neurological disorders, including Parkinson's disease, epilepsy and brain tumors, who have received sufficient information about the study and provided written informed consent.
Individuals with a severely impaired general condition, claustrophobia, suspected early pregnancy, MRI-incompatible metallic implants or medical devices, inability to remain still during MRI, or any other condition considered by the investigators to make participation inappropriate.
400
| 1st name | Yuji |
| Middle name | |
| Last name | Nakamoto |
Graduate School of Medicine, Kyoto University
Department of Diagnostic Imaging and Nuclear Medicine
6068507
54 Shogoin-kawahara-cho, Sakyo-ku, Kyoto City, Kyoto
0757513760
diag_rad@kuhp.kyoto-u.ac.jp
| 1st name | Sachi |
| Middle name | |
| Last name | Okuchi |
Graduate School of Medicine, Kyoto University
Department of Advanced Medical Imaging Research
6068507
54 Shogoin-kawahara-cho, Sakyo-ku, Kyoto City, Kyoto
0757513760
diag_rad@kuhp.kyoto-u.ac.jp
Kyoto university
Kyoto university
Other
Kyoto University Graduate School and Faculty of Medicine, Ethics Committee
53 Shogoin-kawahara-cho, Sakyo-ku, Kyoto
075-366-7618
ethcom@kuhp.kyoto-u.ac.jp
NO
| 2026 | Year | 09 | Month | 01 | Day |
Unpublished
Preinitiation
| 2026 | Year | 08 | Month | 04 | Day |
| 2026 | Year | 09 | Month | 01 | Day |
| 2030 | Year | 12 | Month | 31 | Day |
| 2026 | Year | 08 | Month | 04 | Day |
| 2026 | Year | 08 | Month | 09 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071502