Brain Mapping by Integrated Neurotechnologies for Disease Studies

Studying the neural networks controlling higher brain functions in the marmoset, to gain new insights into information processing and diseases of the human brain.

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Automated and parallelized spike collision tests to identify spike signal projections

We developed a novel method to identify spike signals of multiple projections among different brain areas. This method was realized by the automation and parallelization of spike collision tests with real-time processing of multi-channel recording and control of stimulations. Our result has been published in iScience.


Fluorochromized Tyramide-Glucose Oxidase as a multiplex fluorescent tyramide signal amplification system for histochemical analysis

The researchers have developed a novel multiplex fluorescent tyramide signal amplification system, namely, FT-GO (Fluorochromized Tyramide-Glucose Oxidase). FT-GO yielded 60 to 180 fold and 10 to 30 fold signal amplification compared with direct and indirect immunofluorescence detections, providing a versatile platform for histochemical analysis.


High-Contrast Imaging of α-Synuclein Pathologies in Living Patients with Multiple System Atrophy

We succeeded in imaging of α-synuclein lesions, protein aggregates supposed to play a crucial role in neurodegenerative disorders, in the brains of living patients with multiple system atrophy. This technology is expected to be applicable to Parkinson's disease and Lewy body dementia, contributing to elucidating the etiological mechanism of these diseases. This work has been published in Movement Disorders.


Lewy Body Disease Primate Model with α-Synuclein Propagation from the Olfactory Bulb

It is believed that α-synuclein propagation in the brain causes the disease progression in Lewy body diseases, including Parkinson's disease and dementia with Lewy bodies. We have inoculated α-synuclein aggregates into the olfactory bulb of marmosets, which induced the α-synuclein propagation via olfactory pathway, and the brain dysfunction was revealed using positron emission tomography (PET) imaging.


A Machine Learning–Based Approach to Discrimination of Tauopathies Using [18F]PM-PBB3 PET Images

We have developed a core technology that uses artificial intelligence (AI) to analyze positron emission tomography (PET) images of abnormal tau protein that accumulates in the brain in various types of dementia (tau lesions) and can automatically evaluate the accumulation pattern of tau lesions. The results of this research have been published in Movement Disorders.


Prenatal valproic acid-induced autism marmoset model exhibits higher salivary cortisol levels

This study revealed that both VPA-exposed ASD model marmosets and control marmosets showed similar diurnal changes in cortisol levels, which were lower in the afternoon than in the morning. However, heightened cortisol levels were observed in VPA-exposed marmosets at the times examined in this study. These results are consistent with those of ASD in humans.


Modular strategy for development of the hierarchical visual network in mice

A research team of the University of Tokyo has successfully elucidated a new mechanism of the brain by which a complex neural network, including interareal connections in the cerebral cortex, is efficiently formed during development. This is the first study investigating comprehensively how interareal connections among cortical and thalamic regions are formed during development. This study is expected to be applied in the future to treatments for diseases such as congenital blindness and to circuit formation algorithms to improve an artificial intelligence.


Past events

Related Projects

  • International Brain Initiative
  • Marmoset Gene Atlas
  • Brain/MINDS Data Portal

Supported by

Japan Agency for Medical Research and Development