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Hiroki Sato

Researcher at Shibaura Institute of Technology

Publications -  101
Citations -  2857

Hiroki Sato is an academic researcher from Shibaura Institute of Technology. The author has contributed to research in topics: Prefrontal cortex & Signal. The author has an hindex of 25, co-authored 97 publications receiving 2565 citations. Previous affiliations of Hiroki Sato include University of Tübingen & University of Tokyo.

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A NIRS–fMRI investigation of prefrontal cortex activity during a working memory task

TL;DR: Supportive evidence is provided that NIRS can be used to measure hemodynamic signals originating from prefrontal cortex activation, and the results suggest that the NirS-Hb signal mainly reflects hemodynamic changes in the gray matter.
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Synchronous activity of two people's prefrontal cortices during a cooperative task measured by simultaneous near-infrared spectroscopy.

TL;DR: The synchronized activation patterns of the two participants' brains are associated with their performance when they interact in a cooperative task, and their relative changes in cerebral blood are measured with the NIRS system.
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Optical topography: practical problems and new applications.

TL;DR: The optimum wavelength pair improved the S/N ratio sixfold for deoxyhemoglobin, and new configurations of light irradiation and detection positions doubled the spatial resolution in observations of higher-order brain functions.
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Quantitative evaluation of interrelations between spontaneous low-frequency oscillations in cerebral hemodynamics and systemic cardiovascular dynamics.

TL;DR: The analysis of information transfer between LFOs around 0.1 Hz in the hemoglobin concentration change in the cerebral cortex, the heart rate, and the mean arterial blood pressure reveals that HR and ABP cannot account for more than the half the information carried with variable oxy HbCC, which suggests the origin of L FOs in cerebral hemodynamics may lie in the regulation of regional cerebral blood flow change and energetic metabolism.
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Temporal cortex activation during speech recognition: An optical topography study

TL;DR: The results suggest that the activity in the left temporal association area reflects the load of auditory, memory, and language information processing in speech recognition.