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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Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk

A machine learning classifier using human brain MRI scans from more than 2,000 people from 21 global locations showed over 70% accuracy to classify between healthy control individuals and those clinically at high risk of developing psychosis who later transited to psychosis. The high accuracy can be observed when considering harmonization of brain image data and non-linear brain developmental trajectory of healthy controls during adolescence and young adulthood. The findings could be helpful in future clinical application, as well as understanding brain pathology related to onset of psychosis.


Production of marmoset eggs and embryos from xenotransplanted ovary tissues

Genetically engineered animal models of marmosets are extremely useful for elucidating human diseases and developing treatments, but their creation requires many embryos. To develop a new method for producing embryos, the research group implanted marmoset ovaries under the kidney capsule of mice, harvested eggs matured by hormone administration, successfully fertilized them to produce embryos and obtained blastocysts. This is the first time in the world that a primate embryo capable of implantation in the uterus has been obtained through xenotransplantation.


Change detection in the primate auditory cortex through feedback of prediction error signals

The research group revealed that propagation of prediction error signals from higher-order auditory cortex to primary auditory cortex is critical for the change detection in the non-human primates. The feedback error signal is critical for automatic detection of unpredicted stimuli in physiological auditory processing and may serve as backpropagation-like learning.


Fluorescence radial fluctuation enables two-photon super-resolution microscopy

The research group demonstrated 2P-SRRF, a fluorescence spatiotemporal correlation analysis-based two-photon super-resolution microscopy. Application of 2P-SRRF enabled in-vivo visualization of tiny neuronal structures located at a depth of several hundred micrometers. This technique will contribute to uncovering various nanoscale biological phenomena occurring in the deep area of organisms.


A relationship between psychological difficulties and brain development in adolescence

We conducted an adolescent cohort study and found that changes in psychological difficulties from 13 to 16 years old were associated with changes in the electrophysiological index of glutamatergic neurotransmission. The results would be useful for understanding the mechanism of mental illness and contribute to the promotion of mental health in adolescence.


All-synchronized picosecond pulses and time-gated detection improve the spatial resolution of two-photon STED microscopy in brain tissue imaging

The research group developed a novel super-resolution two-photon excitation (2PE) microscope with all-synchronized picosecond pulse light sources and time-gated fluorescence detection, namely, all-pulsed 2PE-gSTED microscopy. This microscopy will facilitate deeper super-resolution imaging of the biological phenomena at the nanoscale in brain tissue.


Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation

The research team has succeeded in detecting the brain neuronal networks involved in trauma memory, using a novel method that combines optics and machine learning, capturing the complex changes that occur during memory formation and uncovering the mechanisms by which trauma memories are created.


Past events

Related Projects

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

Supported by

Japan Agency for Medical Research and Development