Skip to main content
SpringerLink
Log in

The Role of Functional Near-Infrared Spectroscopy in Collaborative Research: A systematic Review

  • REVIEW ARTICLE
  • Published:
Educational Psychology Review Aims and scope Submit manuscript

Abstract

Optimizing collaborative behavior is crucial in educational activities, directly improving academic performance, social skills, and social-emotional learning for both teachers and students. In an effort to decipher the mechanisms underlying the effectiveness of collaborative learning, educators and neuroscientists have initiated the collection and analysis of learners’ physiological parameters during such collaborative exercises. Considering both accuracy and portability, functional near-infrared spectroscopy (fNIRS) has emerged as a viable tool. The current study aims to understand its potential for studying neural mechanisms of collaboration. Sixty articles were reviewed from three databases to address three research questions: (1) What are the characteristics (i.e., number of publications per year and for different age groups of participants, sample size, and the usage of fNIRS devices) of fNIRS-based collaboration research? (2) What experimental designs are commonly employed in fNIRS-based collaboration research? (3) What is the relationship between neural activity and interactive behavioral performance? The results provide a comprehensive descriptive statistical analysis of the literature characteristics and offer a detailed summary of the research methods employed, including the experimental protocol, task, and duration. Importantly, these findings demonstrate compelling evidence of inter-brain synchrony (IBS), indicating synchronized cortical activities between interacting individuals, and it was observed in the prefrontal cortex or temporoparietal cortex during collaboration and interaction tasks, highlighting the crucial role of these brain regions in facilitating collaborative behavior. The finding of this review advanced our understanding of how fNIRS is ultilized in collaborative research and offer practical implications for designing educational interventions or programs aimd at enhancing collaborative behaviors and their associated benefits.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data Availability

The data underlying this article will be shared on reasonable request to the corresponding author.

References

  • Babiloni, F., & Astolfi, L. (2014). Social neuroscience and hyperscanning techniques: Past, present and future. Neuroscience & Biobehavioral Reviews, 44, 76–93.

    Article  Google Scholar 

  • Barreto, C., Bruneri, G. D. A., Brockington, G., Ayaz, H., & Sato, J. R. (2021). A new statistical approach for fNIRS hyperscanning to predict brain activity of preschoolers’ using teacher’s. Frontiers in Human Neuroscience, 15, 181.

    Article  Google Scholar 

  • Bazán, P. (2022). Group Synchronization during Collaborative Drawing using Functional Near-Infrared Spectroscopy. Journal of Visualized Experiments: Jove (186).

  • Bizzego, A., Azhari, A., & Esposito, G. (2022a). Assessing computational methods to quantify mother-child brain synchrony in naturalistic settings based on fNIRS signals. Neuroinformatics, 20(2), 427–436.

    Article  Google Scholar 

  • Bizzego, A., Gabrieli, G., Azhari, A., Lim, M., & Esposito, G. (2022b). Dataset of parent-child hyperscanning functional near-infrared spectroscopy recordings. Scientific Data, 9(1), 625.

    Article  Google Scholar 

  • Boas, D. A., Elwell, C. E., Ferrari, M., & Taga, G. (2014). Twenty years of functional near-infrared spectroscopy: introduction for the special issue. Neuroimage, 85, 1–5.

    Article  Google Scholar 

  • Burgess, A. P. (2013). On the interpretation of synchronization in EEG hyperscanning studies: A cautionary note. Frontiers in Human Neuroscience, 7, 881.

    Article  Google Scholar 

  • Cheng, X., Liu, M., Pan, Y., & Li, H. (2021). The teaching and learning brains: Interpersonal neuroscience in educational research. Advances in Psychological Science, 29(11), 1993.

    Article  Google Scholar 

  • Cheng, X., Zhu, Y., Hu, Y., Zhou, X., Pan, Y., & Hu, Y. (2022). Integration of social status and trust through interpersonal brain synchronization. NeuroImage, 246, 118777.

    Article  Google Scholar 

  • Cho, T. H., Nah, Y., Park, S. H., & Han, S. (2022). Prefrontal cortical activation in Internet Gaming Disorder Scale high scorers during actual real-time internet gaming: A preliminary study using fNIRS. Journal of Behavioral Addictions.

  • Costley, K. C. (2012). An overview of the life, central concepts, including classroom applications of Lev Vygotsky. Online submission.

  • Cui, X., Bryant, D. M., & Reiss, A. L. (2012). NIRS-based hyperscanning reveals increased interpersonal coherence in superior frontal cortex during cooperation. NeuroImage, 59(3), 2430–2437.

    Article  Google Scholar 

  • Czeszumski, A., Eustergerling, S., Lang, A., Menrath, D., Gerstenberger, M., Schuberth, S., Schreiber, F., Rendon, Z. Z., & König, P. (2020). Hyperscanning: A valid method to study neural inter-brain underpinnings of social interaction. Frontiers in Human Neuroscience, 14, 39.

    Article  Google Scholar 

  • Czeszumski, A., Liang, S. H. Y., Dikker, S., König, P., Lee, C. P., Koole, S. L., & Kelsen, B. (2022). Cooperative behavior evokes interbrain synchrony in the prefrontal and temporoparietal cortex: A systematic review and meta-analysis of fNIRS Hyperscanning Studies. eneuro, 9(2).

  • Dai, B., Chen, C., Long, Y., Zheng, L., Zhao, H., Bai, X., ... & Lu, C. (2018). Neural mechanisms for selectively tuning in to the target speaker in a naturalistic noisy situation. Nature communications, 9(1), 2405.

  • Decety, J., Jackson, P. L., Sommerville, J. A., Chaminade, T., & Meltzoff, A. N. (2004). The neural bases of cooperation and competition: an fMRI investigation. Neuroimage, 23(2), 744–751.

    Article  Google Scholar 

  • Descorbeth, O., Zhang, X., Noah, J. A., & Hirsch, J. (2020). Neural processes for live pro-social dialogue between dyads with socioeconomic disparity. Social Cognitive and Affective Neuroscience, 15(8), 875–887.

    Article  Google Scholar 

  • Dewey, J. (1963). Liberalism and social action. Capricorn. https://cir.nii.ac.jp/crid/1130000794549357312

  • Duan, H., Yang, T., Wang, X., Kan, Y., Zhao, H., Li, Y., & Hu, W. (2020). Is the creativity of lovers better? A behavioral and functional near-infrared spectroscopy hyperscanning study. Current Psychology, 1–14.

  • Dumas, G., Nadel, J., Soussignan, R., Martinerie, J., & Garnero, L. (2010). Inter-brain synchronization during social interaction. PLoS ONE, 5(8), e12166.

    Article  Google Scholar 

  • Englehart, J. M. (2009). Teacher–student interaction. In International handbook of research on teachers and teaching (pp. 711–722). Springer.

  • Fishburn, F. A., Murty, V. P., Hlutkowsky, C. O., MacGillivray, C. E., Bemis, L. M., Murphy, M. E., Huppert, T. J., & Perlman, S. B. (2018). Putting our heads together: Interpersonal neural synchronization as a biological mechanism for shared intentionality. Social Cognitive and Affective Neuroscience, 13(8), 841–849.

    Article  Google Scholar 

  • Gamliel, H. N., Nevat, M., Probolovski, H. G., Karklinsky, M., Han, S., & Shamay-Tsoory, S. G. (2021). Inter-group conflict affects inter-brain synchrony during synchronized movements. NeuroImage, 245, 118661.

    Article  Google Scholar 

  • Gvirts, H. Z., & Perlmutter, R. (2020). What guides us to neurally and behaviorally align with anyone specific? A neurobiological model based on fNIRS hyperscanning studies. The Neuroscientist, 26(2), 108–116.

    Article  Google Scholar 

  • Hasson, U., Furman, O., Clark, D., Dudai, Y., & Davachi, L. (2008). Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding. Neuron, 57(3), 452–462.

    Article  Google Scholar 

  • Hirsch, J., Adam Noah, J., Zhang, X., Dravida, S., & Ono, Y. (2018). A cross-brain neural mechanism for human-to-human verbal communication. Social Cognitive and Affective Neuroscience, 13(9), 907–920.

    Article  Google Scholar 

  • Hoyniak, C. P., Quiñones-Camacho, L. E., Camacho, M. C., Chin, J. H., Williams, E. M., Wakschlag, L. S., & Perlman, S. B. (2021). Adversity is linked with decreased parent-child behavioral and neural synchrony. Developmental Cognitive Neuroscience, 48, 100937.

    Article  Google Scholar 

  • Iacoboni, M., Lieberman, M. D., Knowlton, B. J., Molnar-Szakacs, I., Moritz, M., Throop, C. J., & Fiske, A. P. (2004). Watching social interactions produces dorsomedial prefrontal and medial parietal BOLD fMRI signal increases compared to a resting baseline. NeuroImage, 21(3), 1167–1173.

    Article  Google Scholar 

  • Jiang, J., Dai, B., Peng, D., Zhu, C., Liu, L., & Lu, C. (2012). Neural synchronization during face-to-face communication. Journal of Neuroscience, 32(45), 16064–16069.

    Article  Google Scholar 

  • Jiang, J., Chen, C., Dai, B., Shi, G., Ding, G., Liu, L., & Lu, C. (2015). Leader emergence through interpersonal neural synchronization. Proceedings of the National Academy of Sciences, 112(14), 4274–4279.

    Article  Google Scholar 

  • Laal, M., & Ghodsi, S. M. (2012). Benefits of collaborative learning. Procedia-Social and Behavioral Sciences, 31, 486–490.

    Article  Google Scholar 

  • Li, Y., Chen, R., Turel, O., Feng, T., Zhu, C. Z., & He, Q. (2021a). Dyad sex composition effect on inter-brain synchronization in face-to-face cooperation. Brain Imaging and Behavior, 15, 1667–1675.

    Article  Google Scholar 

  • Li, R., Mayseless, N., Balters, S., & Reiss, A. L. (2021b). Dynamic inter-brain synchrony in real-life inter-personal cooperation: A functional near-infrared spectroscopy hyperscanning study. NeuroImage, 238, 118263.

    Article  Google Scholar 

  • Liang, Z., Li, S., Zhou, S., Chen, S., Li, Y., Chen, Y., Zhao, Q., Huang, F., Lu, C., & Yu, Q. (2022). Increased or decreased? Interpersonal neural synchronization in group creation. NeuroImage, 260, 119448.

    Article  Google Scholar 

  • Liu, J., Zhang, R., Geng, B., Zhang, T., Yuan, D., Otani, S., & Li, X. (2019a). Interplay between prior knowledge and communication mode on teaching effectiveness: Interpersonal neural synchronization as a neural marker. NeuroImage, 193, 93–102.

    Article  Google Scholar 

  • Liu, W., Branigan, H. P., Zheng, L., Long, Y., Bai, X., Li, K., Zhao, H., Zhou, S., Pickering, M. J., & Lu, C. (2019b). Shared neural representations of syntax during online dyadic communication. NeuroImage, 198, 63–72.

    Article  Google Scholar 

  • Liu, T., Saito, G., Lin, C., & Saito, H. (2017). Inter-brain network underlying turn-based cooperation and competition: A hyperscanning study using near-infrared spectroscopy. Scientific Reports, 7(1).

  • Long, Y., Chen, C., Wu, K., Zhou, S., Zhou, F., Zheng, L., ... & Lu, C. (2022). Interpersonal conflict increases interpersonal neural synchronization in romantic couples. Cerebral Cortex, 32(15), 3254–3268.

  • Lu, K., & Hao, N. (2019). When do we fall in neural synchrony with others? Social Cognitive and Affective Neuroscience, 14(3), 253–261.

    Article  Google Scholar 

  • Lu, K., Qiao, X., & Hao, N. (2019a). Praising or keeping silent on partner’s ideas: Leading brainstorming in particular ways. Neuropsychologia, 124, 19–30.

    Article  Google Scholar 

  • Lu, K., Xue, H., Nozawa, T., & Hao, N. (2019b). Cooperation makes a group be more creative. Cerebral Cortex, 29(8), 3457–3470.

    Article  Google Scholar 

  • Lu, K., Teng, J., & Hao, N. (2020). Gender of partner affects the interaction pattern during group creative idea generation. Experimental Brain Research, 238, 1157–1168.

    Article  Google Scholar 

  • Lu, K., Qiao, X., Yun, Q., & Hao, N. (2021). Educational diversity and group creativity: Evidence from fNIRS hyperscanning. NeuroImage, 243, 118564.

    Article  Google Scholar 

  • Lu, K., Gao, Z., Wang, X., Qiao, X., He, Y., Zhang, Y., & Hao, N. (2023). The hyper-brain neural couplings distinguishing high-creative group dynamics: An fNIRS hyperscanning study. Cerebral Cortex, 33(5), 1630–1642.

    Article  Google Scholar 

  • Mayseless, N., Hawthorne, G., & Reiss, A. L. (2019). Real-life creative problem solving in teams: fNIRS based hyperscanning study. NeuroImage, 203, 116161.

    Article  Google Scholar 

  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). PRISMA 2009 flow diagram. The PRISMA Statement, 6(1000097), 0–1371.

  • Monteiro, V. G., Nascimento, J. A., Bazán, P. R., Lacerda, S. S., & Balardin, J. B. (2022). Group synchronization during collaborative drawing using functional near-infrared spectroscopy. JoVE (journal of Visualized Experiments), 186, e63675.

    Google Scholar 

  • Negishi, J., Kanzaki, H., Yamada, Y., Murakami, M., Ozawa, E., & Nakamura, Y. (2020). The effects of speaking activities on brain blood flow: An NIRS study. Journal of Pan-Pacific Association of Applied Linguistics, 24(1), 107–131.

    Article  Google Scholar 

  • Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrtička, P., & Hoehl, S. (2020). The effects of interaction quality on neural synchrony during mother-child problem solving. Cortex, 124, 235–249.

    Article  Google Scholar 

  • Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrtička, P., & Hoehl, S. (2021a). Neural synchrony in mother–child conversation: Exploring the role of conversation patterns. Social Cognitive and Affective Neuroscience, 16(1–2), 93–102.

    Article  Google Scholar 

  • Nguyen, T., Schleihauf, H., Kungl, M., Kayhan, E., Hoehl, S., & Vrtička, P. (2021b). Interpersonal neural synchrony during father–child problem solving: An fNIRS hyperscanning study. Child Development, 92(4), e565–e580.

    Article  Google Scholar 

  • Nozawa, T., Sakaki, K., Ikeda, S., Jeong, H., Yamazaki, S., Kawata, K. H. D. S., Kawata, N. Y. D. S., Sasaki, Y., Kulason, K., & Hirano, K. (2019). Prior physical synchrony enhances rapport and inter-brain synchronization during subsequent educational communication. Scientific Reports, 9(1), 1–13.

    Article  Google Scholar 

  • Ono, Y., Zhang, X., Noah, J. A., Dravida, S., & Hirsch, J. (2022). Bidirectional connectivity between Broca’s area and Wernicke’s area during interactive verbal communication. Brain Connectivity, 12(3), 210–222.

    Article  Google Scholar 

  • Osaka, N., Minamoto, T., Yaoi, K., Azuma, M., & Osaka, M. (2014). Neural synchronization during cooperated humming: A hyperscanning study using fNIRS. Procedia-Social and Behavioral Sciences, 126, 241–243.

    Article  Google Scholar 

  • Osaka, N., Minamoto, T., Yaoi, K., Azuma, M., Shimada, Y. M., & Osaka, M. (2015). How two brains make one synchronized mind in the inferior frontal cortex: FNIRS-based hyperscanning during cooperative singing. Frontiers in Psychology, 6, 1811.

    Article  Google Scholar 

  • Pan, Y., Novembre, G., Song, B., Li, X., & Hu, Y. (2018). Interpersonal synchronization of inferior frontal cortices tracks social interactive learning of a song. NeuroImage, 183, 280–290.

    Article  Google Scholar 

  • Pan, Y., Dikker, S., Goldstein, P., Zhu, Y., Yang, C., & Hu, Y. (2020). Instructor-learner brain coupling discriminates between instructional approaches and predicts learning. NeuroImage, 211, 116657.

    Article  Google Scholar 

  • Pan, Y., Guyon, C., Borragán, G., Hu, Y., & Peigneux, P. (2021a). Interpersonal brain synchronization with instructor compensates for learner’s sleep deprivation in interactive learning. Biochemical Pharmacology, 191, 114111.

    Article  Google Scholar 

  • Pan, Y., Cheng, X., & Hu, Y. (2021b). Three heads are better than one: Cooperative learning brains wire together when a consensus is reached. Cerebral Cortex, 33(4), 1155–1169.

    Article  Google Scholar 

  • Perry, A., Stein, L., & Bentin, S. (2011). Motor and attentional mechanisms involved in social interaction—Evidence from mu and alpha EEG suppression. Neuroimage, 58(3), 895–904.

    Article  Google Scholar 

  • Pinti, P., Devoto, A., Greenhalgh, I., Tachtsidis, I., Burgess, P. W., & de Hamilton, A. F. C. (2021). The role of anterior prefrontal cortex (area 10) in face-to-face deception measured with fNIRS. Social Cognitive and Affective Neuroscience, 16(1–2), 129–142.

    Article  Google Scholar 

  • Qiao, X., Lu, K., Teng, J., Gao, Z., & Hao, N. (2022). Middle occipital area differentially associates with malevolent versus benevolent creativity: An fNIRS investigation. Social Neuroscience, 17(2), 127–142.

    Article  Google Scholar 

  • Quiñones-Camacho, L. E., Hoyniak, C. P., Wakschlag, L. S., & Perlman, S. B. (2022). Getting in synch: Unpacking the role of parent–child synchrony in the development of internalizing and externalizing behaviors. Development and Psychopathology, 34(5), 1901–1913.

    Article  Google Scholar 

  • Rilling, J. K., Sanfey, A. G., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2004). The neural correlates of theory of mind within interpersonal interactions. NeuroImage, 22(4), 1694–1703.

    Article  Google Scholar 

  • Schurz, M., Radua, J., Aichhorn, M., Richlan, F., & Perner, J. (2014). Fractionating theory of mind: A meta-analysis of functional brain imaging studies. Neuroscience & Biobehavioral Reviews, 42, 9–34.

    Article  Google Scholar 

  • Su, W.-C., Culotta, M., Mueller, J., Tsuzuki, D., Pelphrey, K., & Bhat, A. (2020). Differences in cortical activation patterns during action observation, action execution, and interpersonal synchrony between children with or without autism spectrum disorder (ASD): An fNIRS pilot study. PLoS ONE, 15(10), e0240301.

    Article  Google Scholar 

  • Su, W.-C., Culotta, M., Tsuzuki, D., & Bhat, A. (2022). Cortical activation during cooperative joint actions and competition in children with and without an autism spectrum condition (ASC): An fNIRS study. Scientific Reports, 12(1), 5177.

    Article  Google Scholar 

  • Takeuchi, N., Mori, T., Suzukamo, Y., & Izumi, S.-I. (2017). Integration of teaching processes and learning assessment in the prefrontal cortex during a video game teaching–learning task. Frontiers in Psychology, 7, 2052.

    Article  Google Scholar 

  • Takeuchi, N., Mori, T., Suzukamo, Y., & Izumi, S. I. (2019). Activity of prefrontal cortex in teachers and students during teaching of an insight problem. Mind, Brain, and Education, 13(3), 167.

    Article  Google Scholar 

  • Uchitel, J., Vidal-Rosas, E. E., Cooper, R. J., & Zhao, H. (2021). Wearable, integrated eeg–fnirs technologies: A review. Sensors, 21(18), 6106.

    Article  Google Scholar 

  • Wang, M. Y., Luan, P., Zhang, J., Xiang, Y. T., Niu, H., & Yuan, Z. (2018). Concurrent mapping of brain activation from multiple subjects during social interaction by hyperscanning: a mini-review. Quantitative Imaging in Medicine and Surgery, 8(8), 819.

    Article  Google Scholar 

  • Wang, X., Lu, K., He, Y., Gao, Z., & Hao, N. (2022). Close spatial distance and direct gaze bring better communication outcomes and more intertwined neural networks. NeuroImage, 261, 119515.

    Article  Google Scholar 

  • Xue, H., Lu, K., & Hao, N. (2018). Cooperation makes two less-creative individuals turn into a highly-creative pair. NeuroImage, 172, 527–537.

    Article  Google Scholar 

  • Yang, J., Zhang, H., Ni, J., De Dreu, C. K., & Ma, Y. (2020). Within-group synchronization in the prefrontal cortex associates with intergroup conflict. Nature Neuroscience, 23(6), 754–760.

    Article  Google Scholar 

  • Yücel, M. A., Lühmann, A. V., Scholkmann, F., Gervain, J., Dan, I., Ayaz, H., ... & Wolf, M. (2021). Best practices for fNIRS publications. Neurophotonics, 8(1), 012101–012101.

  • Zhang, M., Liu, T., Pelowski, M., Jia, H., & Yu, D. (2017a). Social risky decision-making reveals gender differences in the TPJ: A hyperscanning study using functional near-infrared spectroscopy. Brain and Cognition, 119, 54–63.

    Article  Google Scholar 

  • Zhang, M., Liu, T., Pelowski, M., & Yu, D. (2017b). Gender difference in spontaneous deception: A hyperscanning study using functional near-infrared spectroscopy. Scientific Reports, 7(1), 7508.

    Article  Google Scholar 

  • Zhang, Y., Meng, T., Hou, Y., Pan, Y., & Hu, Y. (2018). Interpersonal brain synchronization associated with working alliance during psychological counseling. Psychiatry Research: Neuroimaging, 282, 103–109.

    Article  Google Scholar 

  • Zhang, M., Jia, H., & Wang, G. (2021). Interbrain Synchrony of Team Collaborative Decision-Making: An fNIRS Hyperscanning Study. Frontiers in Human Neuroscience, 15, 702959.

  • Zhao, H., Cheng, T., Zhai, Y., Long, Y., Wang, Z., & Lu, C. (2021a). How mother–child interactions are associated with a child’s compliance. Cerebral Cortex, 31(9), 4398–4410.

    Article  Google Scholar 

  • Zhao, N., Zhu, Y., & Hu, Y. (2021b). Inter-brain synchrony in open-ended collaborative learning: An fNIRS-hyperscanning study. JoVE (journal of Visualized Experiments), 173, e62777.

    Google Scholar 

  • Zhao, H., Li, Y., Wang, X., Kan, Y., Xu, S., & Duan, H. (2022). Inter-brain neural mechanism underlying turn-based interaction under acute stress in women: A hyperscanning study using functional near-infrared spectroscopy. Social Cognitive and Affective Neuroscience, 17(9), 850–863.

    Article  Google Scholar 

  • Zheng, L., Chen, C., Liu, W., Long, Y., & Lu, C. (2018). Enhancement of teaching outcome through neural prediction of the students’ knowledge state. Human Brain Mapping, 39(2), 3046.

    Article  Google Scholar 

  • Zheng, L., Liu, W., Long, Y., Zhai, Y., Zhao, H., Bai, X., Zhou, S., Li, K., Zhang, H., & Liu, L. (2020). Affiliative bonding between teachers and students through interpersonal synchronisation in brain activity. Social Cognitive and Affective Neuroscience, 15(1), 97–109.

    Article  Google Scholar 

  • Zhou, S., Zhang, Y., Fu, Y., Wu, L., Li, X., Zhu, N., Li, D., & Zhang, M. (2022). The effect of task performance and partnership on interpersonal brain synchrony during cooperation. Brain Sciences, 12(5), 635.

    Article  Google Scholar 

  • Zhu, Y., Leong, V., Hou, Y., Zhang, D., Pan, Y., & Hu, Y. (2021). Instructor–learner neural synchronization during elaborated feedback predicts learning transfer. Journal of Educational Psychology, 114(6), 1427.

    Article  Google Scholar 

Download references

Funding

This manuscript was supported by the General Program of the National Natural Science Foundation of China. Research on Brain Synchronization Mechanisms and Strategies of Multi-person Interaction in STEM Educational Context, Beijing Normal University [grant number 62177011], the International Joint Research Project of Huiyan International College, Faculty of Education, Beijing Normal University [grant number ICER201902], and the Zhejiang Provincial Natural Science Foundation, Zhejiang University [grant number Y24F020039]. Ms Yu Wang is supported by the Beijing Normal University Ph.D. Scholarship. Ms Jessie Siew-Pin Leuk is supported by the Nanyang Technological University Research Scholarship.

Author information

Authors and Affiliations

  1. School of Educational Technology, Beijing Normal University, No.19 Xinjiekouwai St., Haidian District, Beijing, People’s Republic of China

    Yu Wang & Yan Dong

  2. Physical Education and Sports Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore

    Jessie Siew-Pin Leuk & Wei-Peng Teo

  3. College of Education, Zhejiang University, Hangzhou, China

    Xuesong Zhai

  4. School of International Education, Shandong University, Jinan, China

    Chang Xu

  5. School of Teacher Education, Nanjing University of Information Science & Technology, Nanjing, China

    Yu Fu

  6. Science of Learning in Education Centre (SoLEC), National Institute of Education, Nanyang Technological University, Singapore, Singapore

    Wei-Peng Teo

Authors
  1. Yu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jessie Siew-Pin Leuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xuesong Zhai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chang Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yu Fu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Wei-Peng Teo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Yu Wang, Yan Dong, and Wei Peng Teo contributed to the study conception. Article searching, screening, and information extraction were performed by Yu Wang, Chang Xu, and Yu Fu. The first draft of the manuscript was written by Yu Wang. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yan Dong.

Ethics declarations

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Table

Table 10 Reference for included studies (the sequence is same with Table 2)
Full size table

10

Table

Table 11 The dimension of ROBINS-E
Full size table

11

Table

Table 12 Assessment of included studies on domain 1 to domain 3
Full size table

12

Table

Table 13 Assessment of included studies on domain 4 to domain 7
Full size table

13

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Dong, Y., Leuk, J.SP. et al. The Role of Functional Near-Infrared Spectroscopy in Collaborative Research: A systematic Review. Educ Psychol Rev 36, 1 (2024). https://doi.org/10.1007/s10648-023-09836-z

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10648-023-09836-z

Keywords

Search

Navigation