The University of Tokyo · Medicine
Professor Shiori Amemiya's research lab specializes in advanced neuroimaging techniques, particularly resting-state functional MRI (rsfMRI), to investigate spontaneous brain activity and its clinical applications. The lab focuses on understanding neural network dynamics, perfusion delays in cerebrovascular disorders, and the neural basis of social perception—such as facial processing and pupil size perception—using high-resolution fMRI and innovative data analysis methods. They also develop and validate image processing algorithms, such as FF-SSD, for improved detection of brain metastases in clinical MRI. Their work bridges fundamental neuroscience with translational applications in neurology and neuroradiology.
Figures are computed from collected data and may differ slightly.
Resting-state functional MR imaging temporal-shift analysis can noninvasively demonstrate the extent and degree of perfusion delay in patients with hypoperfusion both with and without neurologic deficit.
Among a range of cognitive functions of the amygdala, recent studies suggest its involvement in identification of the pupil size. To further address its role, we investigated the response of the amygdala to human and cat faces with varied pupil size, taking into account the effect of the gender and subjective attractiveness ratings. Twenty-seven subjects underwent functional magnetic resonance imaging while viewing faces with large and small pupils. Large pupil faces induced increased activation
Resting-state functional magnetic resonance imaging (rsfMRI) has been developed as a method of investigating spontaneous neural activity. Based on its low-frequency signal synchronization, rsfMRI has made it possible to identify multiple macroscopic structures termed resting-state networks (RSNs) on a single scan of less than 10 minutes. It is easy to implement even in clinical practice, in which assigning tasks to patients can be challenging. These advantages have accelerated the adoption and g
The global mean signal of resting-state fMRI (rs-fMRI) shows a characteristic spatiotemporal pattern that is closely related to the pattern of vascular perfusion. Although being increasingly adopted in the mapping of the flow of neural activity, the mechanism that gives rise to the BOLD signal time lag remains controversial. In the present study, we compared the time lag of the global mean signal with those of the local network components obtained by applying temporal independent component analy
1 TECHNICAL EFFICACY: Stage 2.
Using CTCA as the first-line examination for 60-year-old men at risk for stable CAD achieved gains of QALY comparable to that of routine CAG, but at a lower cost.
The FF-SSD algorithm identified brain metastases on CE T1-weighted MRI with high accuracy.
1 TECHNICAL EFFICACY: Stage 2.
By successfully reducing non-specific correlations spreading over the brain, integrated multi-echo approach improved language mapping and identification of the laterality of the system using rs-FMRI.
Abstract A case of venous congestion associated with developmental venous anomaly (DVA) in a 5‐year‐old girl who presented with acute deterioration of consciousness is reported. Susceptibility‐weighted imaging revealed abnormal structures connected to the central collector of a DVA, which were not shown on other sequences. These structures were considered to be presumably thrombosed medullary veins. J. Magn. Reson. Imaging 2008;28:1506–1509. © 2008 Wiley‐Liss, Inc.
Spontaneous neural activities are endowed with specific patterning characterized by synchronizations within functionally relevant distant regions that are termed as resting-state networks (RSNs). Although the mechanisms that organize the large-scale neural systems are still largely unknown, recent studies have proposed a hypothesis that network-specific coactivations indeed emerge as the result of globally propagating neural activities with specific paths of transmission. However, the extent to
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