Prof. Yasuyo Minagawa Profile

Prof. Yasuyo Minagawa

at Keio University

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Author

Publications (4)

SPIE Journal Paper | 6 July 2023 Open Access

Special Section Guest Editorial: Thirty Years of Functional Near-Infrared Spectroscopy

David Highton, David Boas, Yasuyo Minagawa, Rickson Mesquita, Judit Gervain

NPh, Vol. 10, Issue 02, 023501, (July 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.2.023501

KEYWORDS: Biomedical applications, Near infrared spectroscopy, Analytical research, Neuroimaging, Mental disorders, Brain, Tissues, Brain diseases, Neurological disorders, Hemodynamics

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SPIE Journal Paper | 3 April 2023 Open Access

Using functional near-infrared spectroscopy to study the early developing brain: future directions and new challenges

Judit Gervain, Yasuyo Minagawa, Lauren Emberson, Sarah Lloyd-Fox

NPh, Vol. 10, Issue 02, 023519, (April 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.2.023519

KEYWORDS: Brain, Near infrared spectroscopy, Neuroimaging, Machine learning, Analytical research, Neurophotonics, Statistical analysis, Psychology, Functional magnetic resonance imaging, Cognition

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SPIE Journal Paper | 10 February 2023 Open Access

Two-in-one system and behavior-specific brain synchrony during goal-free cooperative creation: an analytical approach combining automated behavioral classification and the event-related generalized linear model

Mingdi Xu, Satoshi Morimoto, Eiichi Hoshino, Kenji Suzuki, Yasuyo Minagawa

NPh, Vol. 10, Issue 01, 013511, (February 2023) https://doi.org/10.1117/12.10.1117/1.NPh.10.1.013511

KEYWORDS: Brain, Neurophotonics, Computer vision technology, Reflection, Design and modelling, Video, Classification systems, Stars, Social neuroscience, Neuroimaging

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SignificanceIn hyperscanning studies of natural social interactions, behavioral coding is usually necessary to extract brain synchronizations specific to a particular behavior. The more natural the task is, the heavier the coding effort is. We propose an analytical approach to resolve this dilemma, providing insights and avenues for future work in interactive social neuroscience.AimThe objective is to solve the laborious coding problem for naturalistic hyperscanning by proposing a convenient analytical approach and to uncover brain synchronization mechanisms related to human cooperative behavior when the ultimate goal is highly free and creative.ApproachThis functional near-infrared spectroscopy hyperscanning study challenged a cooperative goal-free creative game in which dyads can communicate freely without time constraints and developed an analytical approach that combines automated behavior classification (computer vision) with a generalized linear model (GLM) in an event-related manner. Thirty-nine dyads participated in this study.ResultsConventional wavelet-transformed coherence (WTC) analysis showed that joint play induced robust between-brain synchronization (BBS) among the hub-like superior and middle temporal regions and the frontopolar and dorsomedial/dorsolateral prefrontal cortex (PFC) in the right hemisphere, in contrast to sparse within-brain synchronization (WBS). Contrarily, similar regions within a single brain showed strong WBS with similar connection patterns during independent play. These findings indicate a two-in-one system for performing creative problem-solving tasks. Further, WTC-GLM analysis combined with computer vision successfully extracted BBS, which was specific to the events when one of the participants raised his/her face to the other. This brain-to-brain synchrony between the right dorsolateral PFC and the right temporo-parietal junction suggests joint functioning of these areas when mentalization is necessary under situations with restricted social signals.ConclusionsOur proposed analytical approach combining computer vision and WTC-GLM can be applied to extract inter-brain synchrony associated with social behaviors of interest.

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SPIE Journal Paper | 31 May 2021 Open Access

Correlating functional near-infrared spectroscopy with underlying cortical regions of 0-, 1-, and 2-year-olds using theoretical light propagation analysis

Lin Cai, Eiji Okada, Yasuyo Minagawa, Hiroshi Kawaguchi

NPh, Vol. 8, Issue 02, 025009, (May 2021) https://doi.org/10.1117/12.10.1117/1.NPh.8.2.025009

KEYWORDS: Brain, Head, Near infrared spectroscopy, Optical properties, Geometrical optics, Tissues, Neurophotonics, Tissue optics, Magnetic resonance imaging, Skull

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