Updated on 2023/10/01

写真a

 
KURIHARA, Yuto
 
Affiliation
Faculty of Human Sciences, School of Human Sciences
Job title
Research Associate
Degree
学士(人間科学) ( 2019.03 Waseda University )
修士(人間科学) ( 2021.03 Waseda University )

Research Experience

  • 2023.04
    -
    Now

    Tokyo Metropolitan University

  • 2023.04
    -
    Now

    Waseda University   Faculty of Human Sciences

  • 2022.04
    -
    2023.03

    Japan Society for the Promotion of Science   Research Fellowship for Young Scientists (DC2)

  • 2021.04
    -
    2023.03

    Waseda University   School of Human Sciences, e-school   Educational Coach

  • 2022.04
    -
    2022.09

    Tokyo Seitoku University   Part-time Lecturer

Education Background

  • 2021.04
    -
    Now

    Waseda University   Graduate School of Human Sciences  

  • 2019.04
    -
    2021.03

    Waseda University   Graduate School of Human Sciences  

  • 2015.04
    -
    2019.03

    Waseda University   School of Human Sciences   Department of Human Informatics and Cognitive Sciences  

Professional Memberships

  • 2023
    -
    Now

    日本認知科学会

  • 2022
    -
    Now

    日本ヒト脳機能マッピング学会

  • 2021
    -
    Now

    日本神経回路学会

  • 2020
    -
    Now

    Society for Neuroscience

  • 2020
    -
    Now

    日本神経科学学会

  • 2019
    -
    Now

    日本心理学会

  • 2018
    -
    2021

    日本教師学学会

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Research Areas

  • Basic brain sciences / Cognitive and brain science / Cognitive science / Experimental psychology

Research Interests

  • Social Neuroscience

  • Cognitive Neuroscience

  • Communication

  • Coordination

  • Autsim Spectrum Disorder

  • EEG

  • fNIRS

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Awards

  • 優秀発表賞(学部・修士の部)

    2022   Society for Tokyo Young Psychologists   脳血流量変化を特徴量とする機械学習を用いた Aha モーメントの推定:fNIRS研究

    Winner: 大隈玲志, 栗原勇人, 大須理英子

  • Trainee Professional Development Award

    2020   Society for Neuroscience  

 

Papers

  • The topology of interpersonal neural network in weak social ties

    Yuto Kurihara, Toru Takahashi, Rieko Osu

    biorxiv    2023.04

     View Summary

    People often have opportunities to engage in social interactions with strangers, which have been reported to contribute to their well-being. Although strategies for social interaction between strangers differ from those between acquaintances, the differences in neural basis of social interaction have not been fully elucidated. In this study, we examined the geometrical properties of interpersonal neural networks in pairs of strangers and acquaintances during joint tapping using dual electroencephalography (EEG). Twenty-one pairs of participants performed antiphase joint tapping under four different conditions. Intra-brain synchronizations were calculated using the weighted phase lag index (wPLI) for all possible intra-brain pairs of the 29 channels ( 29C2=406), and inter-brain synchronizations were calculated using the phase locking value (PLV) for all possible inter-brain pairs of the 29 channels (29*29= 841) in the theta, alpha, and beta frequency bands. Electrode pairs with larger wPLI and PLV than their surrogates were defined as the nodes (EEG channels) and edges (connections between nodes) of the neural networks. We then calculated the global efficiency, local efficiency, clustering coefficient, and modularity derived from graph theory for the combined intra- and inter-brain networks of each pair. No significant differences in the tapping phase variance were identified between the stranger and acquaintance pairs. However, in the combined intra- and inter-brain theta EEG (4-7 Hz) networks, stranger pairs showed larger local efficiency and cluster coefficients than acquaintance pairs, indicating that the two brains of stranger pairs were more densely connected. Moreover, in the beta EEG bands, the modularity of the two brains was low in the fast condition, indicating that the two brains were coupled when the task demand was high. Our results show that weak social ties promote more extensive social interactions and result in dense brain-to-brain coupling.

    DOI

  • The Effect of Evaluating Self's Emotions on Frontal Alpha Asymmetry

    Masato Ito, Toru Takahashi, Yuto Kurihara, Rieko Osu

    biorxiv    2023.04

     View Summary

    In this research to assess emotions from biometric signals, participants are asked to evaluate the emotions they subjectively experienced in order to confirm whether the assumed emotions were actually elicited. However, the evaluation of emotions is not routinely performed in daily life, and it is possible that this evaluation may alter biological signals. In fMRI studies, evaluation has been shown to activate the amygdala, which is said to be related to emotional expression. However, electroencephalography (EEG) studies do not take into consideration the effects of such evaluations, and it is unclear how these evaluations affect emotion-related brain activity observed in EEG. We hypothesized that emotion evaluations would amplify emotions and c alter Frontal Alpha Asymmetry (FAA), which has been shown to be related to emotional pleasantness and unpleasantness. We suspect this is because in order to evaluate one's emotions, one must pay attention to one's internal state, and this self-focused attention has been found to enhance the subjective emotional experience. We measured a 29-channel EEG when presented with unpleasant and highly arousing images from the International Affective Picture System (IAPS) from 40 healthy male and female participants. The results revealed that FAA was significantly lower in the condition in which participants rated their own emotions compared to the condition in which they did not. Similar to fMRI studies, this result indicates that emotion-related brain activity is amplified on an EEG. This paper provides a cautionary note regarding the use of such evaluations in EEG emotion estimation studies.

    DOI

  • Brain Activity During Constraint Relaxation in the Insight Problem-Solving Process: An fNIRS Study

    biorxiv    2022.05

  • The relationship between stability of interpersonal coordination and inter-brain EEG synchronization during anti-phase tapping

    Yuto Kurihara, Toru Takahashi, Rieko Osu

    Scientific Reports   12 ( 1 )  2022.04  [Refereed]

     View Summary

    Abstract

    Inter-brain synchronization is enhanced when individuals perform rhythmic interpersonal coordination tasks, such as playing instruments in music ensembles. Experimentally, synchronization has been shown to correlate with the performance of joint tapping tasks. However, it is unclear whether inter-brain synchronization is related to the stability of interpersonal coordination represented as the standard deviation of relative phase (SDRP). In this study, we simultaneously recorded electroencephalograms of two paired individuals during anti-phase tapping in three interactive tapping conditions: slow (reference inter-tap interval [ITI]: 0.5 s), fast (reference ITI: 0.25 s), and free (preferred ITI), and pseudo tapping where each participant tapped according to the metronome sounds without interaction. We calculated the inter-brain synchronization between pairs of six regions of interest (ROI): frontal, central, left/right temporal, parietal, and occipital regions. During the fast tapping, the inter-brain synchronization significantly increased in multiple ROI pairs including temporoparietal junction in comparison to pseudo tapping. Synchronization between the central and left-temporal regions was positively correlated with SDRP in the theta in the fast condition. These results demonstrate that inter-brain synchronization occurs when task requirements are high and increases with the instability of the coordination.

    DOI

    Scopus

    1
    Citation
    (Scopus)
  • Development and validation of new evaluation scale for measuring stroke patients’ motivation for rehabilitation in rehabilitation wards

    Taiki Yoshida, Yohei Otaka, Shin Kitamura, Kazuki Ushizawa, Masashi Kumagai, Yuto Kurihara, Jun Yaeda, Rieko Osu

    PLoS ONE   17 ( 3 ) e0265214 - e0265214  2022.03  [Refereed]

     View Summary

    Objective

    This study aimed to develop the Motivation in stroke patients for rehabilitation scale (MORE scale), following the Consensus-based standards for the selection of health measurement instruments (COSMIN).

    Method

    Study participants included rehabilitation professionals working at the convalescent rehabilitation hospital and stroke patients admitted to the hospital. The original MORE scale was developed from an item pool, which was created through discussions of nine rehabilitation professionals. After the content validity of the scale was verified using the Delphi method with 61 rehabilitation professionals and 22 stroke patients, the scale’s validity and reliability were examined for 201 stroke patients. The construct validity of the scale was investigated using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and item response theory analysis. Cronbach’s alpha confirmed its internal consistency. Regarding convergent, discriminant, and criterion validity, Spearman’s rho was calculated between the MORE scale and the Apathy Scale (AS), Self-rating Depression Scale (SDS), and Visual Analogue Scale (VAS), which rates the subjective feelings of motivation.

    Results

    Using the Delphi method, 17 items were incorporated into the MORE scale. According to EFA and CFA, a one-factor model was suggested. All MORE scale items demonstrated satisfactory item response, with item slopes ranging from 0.811 to 2.142, and item difficulty parameters ranging from -3.203 to 0.522. Cronbach’s alpha was 0.948. Regarding test-retest reliability, a moderate correlation was found between scores at the beginning and one month after hospitalization (rho = 0.612. p < 0.001). The MORE scale showed significant correlation with AS (rho = -0.536, p < 0.001), SDS (rho = -0.347, p < 0.001), and VAS (rho = 0.536, p < 0.001), confirming the convergent, discriminant, and criterion validity, respectively.

    Conclusions

    The MORE scale was verified as a valid and reliable scale for evaluating stroke patients’ motivation for rehabilitation.

    DOI

    Scopus

    4
    Citation
    (Scopus)
  • Effect of transcranial static magnetic field stimulation on the prefrontal area during the self-focused attention

    Katayama Hiroki, Tomita Nozomi, Nihei Honoka, Takahashi Toru, Kurihara Yuto, Shibata Sumiya, Mima Tatsuya, Osu Rieko, Kumano Hiroaki

    Waseda Journal of Clinical Psychology   21 ( 1 ) 35 - 41  2021.12  [Refereed]

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Presentations

  • fMRIを用いた快-不快音聴取時の脳活動と感覚処理感受性との関連の検討

    大隈 玲志, 佐藤 祈, 栗原 勇人, 髙橋 徹, 大須 理英子

    日本心理学会第87回 

    Presentation date: 2023.09

  • 自動運転車乗車時の間隙通過可能性の知覚

    友野貴之, 栗原勇人, 海見康秀, 村野良太, 加藤 麻樹

    日本認知科学会第40回大会 

    Presentation date: 2023.09

  • ROI based Network functional connectivity during Mind wandering state differs from Focus State: A Preliminary EEG Study

    Xiang Yan, Toru Takahashi, Yuto Kurihara, Masato Ito, Rieko Osu

    Japanese Neural Network Society 

    Presentation date: 2023.09

  • Behavioral and neural analysis of mutual predictive joint action

    Yuto Kurihara  [Invited]

    The 5th Annual Neuromechanics and Motor Control Meeting 

    Presentation date: 2023.08

  • Visual Body Part Representation in the Lateral Occipitotemporal Cortex in Autism: An fMRI study

    Workshop on social cognition, communication and culture 

    Presentation date: 2023.02

  • 自閉スペクトラム症者と定型発達者における身体部位表象

    栗原勇人, 小坂浩隆, Bianca Schuster, 北田亮, 河内山隆紀, 岡沢秀彦, 大須理英子, 岡本悠子

    日本ヒト脳マッピング学会 

    Presentation date: 2023.02

  • Why do our brians synchronize during social interaction? : Discuss future hyperscanning studies

    Yuto Kurihara  [Invited]

    Presentation date: 2022.09

  • Default-mode network's subnetwork functional connectivity reflects attention tendency at rest and behavioral variability in task: an EEG study

    Xiang Felix Yan, Toru Takahashi, Masato Ito, Yuto Kurihara, Rieko Osu

    Neuro2022 

    Presentation date: 2022.07

  • Effect of subjective evaluation of emotion on the emotion itself: Investigation by Frontal Alpha Asymmetry using Electroencephalography

    Masato Ito, Toru Takahashi, Yuto Kurihara, Rieko Osu

    Neuro2022 

    Presentation date: 2022.07

  • Functional Brain Networks Analysis During Incubation Phase of Insight Problem-solving

    Reiji Ohkuma, Yuto Kurihara, Toru Takahashi, Rieko Osu

    Neuro2022 

    Presentation date: 2022.07

  • The effect of interpersonal physical distance on brain activity: An fNIRS study

    Yuto Kurihara, Reiji Ohkuma, Toru Takahashi, Akito Miura, Rieko Osu

    Neuro2022 

    Presentation date: 2022.07

  • 脳血流量変化を特徴量とする機械学習を用いた Aha モーメントの推定:fNIRS研究

    大隈玲志, 栗原勇人, 大須理英子

    12th Society for Tokyo Young Psychologists 

    Presentation date: 2022.03

  • 対人間の身体的距離とマスクの有無が脳活動に与える影響:fNIRS研究

    栗原勇人, 大隈玲志, 髙橋徹, 三浦哲都, 大須理英子

    新学術領域研究「顔・身体学」第8回領域会議 

    Presentation date: 2022.03

  • 感覚運動と社会性の連続性

    Yuto Kurihara  [Invited]

    Presentation date: 2022.02

  • 経頭蓋静磁場刺激が自己注目状態時の前頭前野に与える影響の予備的検討

    片山広大, 富田望, 二瓶穂香, 髙橋徹, 栗原勇人, 芝田純也, 美馬達哉, 大須理英子, 熊野宏昭

    日本認知・行動療法学会第47回大会 

    Presentation date: 2021.10

  • The Comparison of Interpersonal Neural Network Between Acquaintance and Stranger pairs

    Yuto Kurihara, Toru Takahashi, Rieko Osu

    Presentation date: 2021.09

  • tracrin: Program to support creating the qualitative descriptions used in communication research

    Ryosaku Makino, Yuto Kurihara, Yusuke Yagai, Keisuke Kadota, Yasuyuki Usuda

    Presentation date: 2021.09

  • 知り合いペアか初対面ペアかによるインタラクション時の神経ネットワークの違い

    栗原勇人, 髙橋徹, 大須理英子

    新学術領域研究「顔・身体学」第8回領域会議 

    Presentation date: 2021.08

  • Insight Problem-solving Process Examined Cerebral Blood Flow and Eye Movement

    Reiji Ohkuma, Yuto Kurihara, Rieko Osu

    Presentation date: 2021.07

  • Inter-brain electroencephalography synchronization during joint tapping: A comparison between stranger pairs and acquainted pairs

    Yuto Kurihara, Toru Takahashi, Rieko Osu

    Society for Neuroscience; Global Connectome 

    Presentation date: 2021.01

  • Self-regulation Of Resting-state Network's Neural Substrates During Sustained Attention

    Yan X, Kurihara Y, Osu R

    Presentation date: 2020.07

  • The Relationship Between Inter-Brain EEG Synchronization and Difference in Social Skills During Anti-Phase Tapping Tasks

    Presentation date: 2020.07

  • The Effect of Anti-phase Tapping Behaviors on Inter-Brain EEG Synchronization

    Yuto Kurihara, Rieko Osu

    Presentation date: 2020.03

  • The effect on anti-phase behavioral synchronization and differences in social skills on inter-brain EEG synchronization

    Yuto Kurihara, Rieko Osu

    10th Society for Tokyo Young Psychologists 

    Presentation date: 2020.03

  • 面識の有無が個体間脳波同期に及ぼす影響

    栗原勇人, 横山寛, 岡崎俊太郎, 大須理英子

    日本心理学会第83回大会 

    Presentation date: 2019.09

  • 二人の脳波から因果性を推定する試み

    栗原勇人, 横山寛, 岡崎俊太郎, 大須理英子

    みずほ銀行・早稲田大学学術交流協定締結1周年記念シンポジウムみずほ銀行・早稲田大学学術交流協定締結1周年記念シンポジウム 

    Presentation date: 2019.07

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Research Projects

  • 円滑な対人インタラクションを実現する神経基盤の解明とその支援技術の提案

    独立行政法人日本学術振興会  日本学術振興会特別研究員(DC)

    Project Year :

    2022.04
    -
     
     

  • 個体間脳波同期レベルに着目した脳神経科学にもとづくコミュニケーション支援技術の実装

    国立研究開発法人科学技術振興機構(JST)  早稲田オープン・イノベーション・エコシステム挑戦的研究プログラム(W-SPRING)

    Project Year :

    2021.10
    -
    2022.03
     

  • 脳活動の同期による無意識的な対人インタラクションの評価法及び支援法

    早稲田大学 人総研研究プロジェクト 

    Project Year :

    2021.04
    -
    2022.03
     

Misc

  • Proposal of an Analysis Method for fNIRS Using Machine Learning

      121 ( 79 ) 91 - 96  2021.06

  • リハビリテーションへのモチベーション評価尺度(MORE scale)の尺度特性の検討

    吉田 太樹, 大高 洋平, 北村 新, 栗原 勇人, 大須 理英子

    日本作業療法学会抄録集 54回 OA - 45   54回   OA - 45  2020.09

  • The Effect of Anti-phase Tapping Behaviors on Inter-Brain EEG Synchronization

    Yuto Kurihara, Rieko Osu

    Proceedings of Applied Abstraction and Integrated Design     4 - 8  2020.03  [Refereed]

    Authorship:Lead author

    Article, review, commentary, editorial, etc. (international conference proceedings)  

  • 新学術領域研究「人工知能と脳科学の対象と融合」 若手サマースクール参加記 (2)

       2019.10  [Invited]

 

Teaching Experience

  • 情報リテラシー実践Ⅰ

    Tokyo Metropolitan University  

    2023.04
    -
    Now
     

  • 数理の基礎

    Tokyo Seitoku University  

    2022.04
    -
    2022.09