Unique ID issued by UMIN | UMIN000050194 |
---|---|
Receipt number | R000057163 |
Scientific Title | Visualizing the neural representation of mental images using 7T MRI scanner |
Date of disclosure of the study information | 2023/04/01 |
Last modified on | 2024/01/31 15:33:52 |
Visualizing the neural representation of mental images using 7T MRI scanner
Visualizing the neural representation of mental images using 7T MRI scanner
Visualizing the neural representation of mental images using 7T MRI scanner
Visualizing the neural representation of mental images using 7T MRI scanner
Japan |
Nothing
Adult |
Others
NO
This study aims to detect and quantify neural representations common across perception and imagery and to elucidate the neural basis. We measure brain activity from healthy subjects using a 7T MRI scanner and predict (decode) the contents of perception and imagery by applying machine learning-based statistical pattern analysis to the measured brain activity.
Efficacy
Prediction performance of decoding models using fMRI signals
Interventional
Single arm
Non-randomized
Open -no one is blinded
Uncontrolled
1
Educational,Counseling,Training
Device,equipment |
We use a 7T MRI scanner which has not been approved by (former) Pharmaceutical Affairs Law to measure brain activity. Measurements with the scanner are taken over multiple days, but the scanning time per subject per day is limited to 2 hours or less.
20 | years-old | <= |
60 | years-old | > |
Male and Female
1. Subject who has provided written consent to participate in this study.
1. Cardiac pacemaker users
2. Users of cerebrovascular clips
3. Users of electrical nerve stimulators
4. Users of implantable pumps
5. Subjects with metal fragments remaining in the body
6. Those who are currently pregnant or suspected of being pregnant
7. Persons with tattoos (including tattoo-style eyeliner, etc.)
8. Persons with metal plates or screws in their body due to fractures or other orthopedic repairs
9. Claustrophobia
20
1st name | Yukiyasu |
Middle name | |
Last name | Kamitani |
Graduate school of informatics, Kyoto university
Neuroinformatics group, Department of intelligence science and technology
606-8303
Kyoto University Yoshida Medicine Campus, Yoshida-tachibanacho, Sakyo-ku, Kyoto
0757539133
kamitani@i.kyoto-u.ac.jp
1st name | Yukiyasu |
Middle name | |
Last name | Kamitani |
Graduate school of informatics, Kyoto university
Neuroinformatics group, Department of intelligence science and technology
606-8303
Kyoto University Yoshida Medicine Campus, Yoshida-tachibanacho, Sakyo-ku, Kyoto
0757539133
kamitani@i.kyoto-u.ac.jp
Kyoto university
Japan Science and Technology Agency
Japanese Governmental office
Kyoto University Graduate School and Faculty of Medicine, Ethics Committee
Yoshida-Konoe-cho, Sakyo-ku, Kyoto
0757534680
ethcom@kuhp.kyoto-u.ac.jp
NO
2023 | Year | 04 | Month | 01 | Day |
Unpublished
Open public recruiting
2023 | Year | 04 | Month | 01 | Day |
2023 | Year | 12 | Month | 19 | Day |
2023 | Year | 10 | Month | 01 | Day |
2025 | Year | 03 | Month | 31 | Day |
2023 | Year | 01 | Month | 31 | Day |
2024 | Year | 01 | Month | 31 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000057163