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Advanced Measurement Information, Health and Medicine Lab
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The lab studies the human brain using MRI images to look for markers of disease.

AboutAbout the lab
Exploring how the brain works and brain disease through imaging data
The Advanced Measurement Information, Health and Medicine Lab studies brain imaging data, with the human brain as its main research subject.
Because the brain is extremely complex, the causes of neurological and psychiatric diseases such as Alzheimer's disease and depression are still largely unknown.
Using large volumes of brain imaging data from the Brain & Mind Research Center at Nagoya University, the lab tries to capture the structure and function of the brain and the changes that accompany disease.
On the lab's website, it is introduced under the name "TBIS (Translational Biomedical Intelligent Systems)."
Key terms
- Real-time fMRI
- A technology that analyzes images almost simultaneously while capturing brain activity, making it possible to follow changes in brain activity on the spot
- Neurofeedback
- A method in which information about a person's own brain activity is fed back to them so they can practice regulating that activity themselves
- Biomarker
- A measurable indicator from the body that shows whether a disease is present or how far it has progressed. Here, it refers to indicators found from brain images
- Connectome
- Something like a map showing the whole set of connections among different regions of the brain
ResearchResearch themes
With the human brain as its main research subject, the lab uses large volumes of brain imaging data to study the structure and function of the brain. It aims to capture brain changes that accompany neurological and psychiatric diseases and to contribute to developing brain indicators useful for diagnosis.
*Illustrative imageDevelopment and application of real-time fMRI
Using the MRI scanner at Daiko Campus, the lab is developing a real-time fMRI system that analyzes images of brain activity almost on the spot. It is thought to be usable for neurofeedback, as well as for technologies connecting the brain and machines that may lead to neurorehabilitation.
*Illustrative imageBrain changes in healthy aging
Using brain images from the aging cohort study of the Brain & Mind Research Center, the lab studies brain changes that accompany healthy aging. So far, it has analyzed changes in brain networks with resting-state fMRI, in white matter with diffusion tensor imaging, and in gray matter with T1-weighted imaging.
*Illustrative imageDeveloping biomarkers for neurological and psychiatric diseases
This research finds changes in brain networks (connectomes) characteristic of each disease from multiple types of brain images, and builds biomarkers from them. It also aims to help distinguish between diseases and to clarify how the brain changes as a disease progresses.
MembersFaculty
The members of the lab consist of faculty, doctoral students, and master's students.
- Associate ProfessorEpifanio Bagarinao
- ProfessorMinoru Hoshiyama
- Associate ProfessorHiroto Kan
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “MRI scanner at the Royal Stoke University Hospital - geograph.org.uk - 4276444” Jonathan Hutchins / CC BY-SA 2.0 (cropped)
- Development and application of real-time fMRI: “Neurofeedback gráfico” Belanidia / CC BY-SA 3.0 (cropped)
- Brain changes in healthy aging: “Mouse Tractography” National Institutes of Health (NIH) / Public domain (cropped)
- Developing biomarkers for neurological and psychiatric diseases: “Key brain regions in the central autonomic network (CAN)” Martin Iniguez, Antonio Jimenez-Marin, Asier Erramuzpe, Marian Acera, Beatriz Tijero, Ane Murueta-Goyena, Rocio Del Pino, Tamara Fernandez, Mar Carmona‑Abellan, Alberto Cabrera-Zubizarreta, Juan Carlos Gómez‑Esteban, Jesus M. Cortes & Inigo Gabilondo / CC BY 4.0 (cropped)
- Related lab (Medical Imaging Engineering Lab): “Model positioned in computed tomography scanner” Daniel Sone (Photographer) / Public domain (cropped)
- Related lab (Biomolecular Information Science Lab): “Agilent 1200HPLC and 6130 MS” Nick Birse / CC BY-SA 4.0 (cropped)
- Related lab (Real-World Information, Health and Medicine Lab): “COMPUTER ROOM DISCHARGE” Keith4048 / Public domain (cropped)
- Related lab (Medical Image Analysis Lab): “Scanner Hôpital Laquintinie Douala 04” Happi Raphael / CC BY-SA 4.0 (cropped)
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