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Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning
Abstract
Parent-child synchrony, the coupling of behavioral and biological signals during social contact, may fine-tune the child's brain circuitries associated with emotional bond formation and the child's development of emotion regulation. Here, we examined the neurobiological underpinnings of these processes by measuring parent's and child's prefrontal neural activity concurrently with functional near-infrared spectroscopy hyperscanning. Each child played both a cooperative and a competitive game with the parent, mostly the mother, as well as an adult stranger. During cooperation, parent's and child's brain activities synchronized in the dorsolateral prefrontal and frontopolar cortex (FPC), which was predictive for their cooperative performance in subsequent trials. No significant brain-to-brain synchrony was observed in the conditions parent-child competition, stranger-child cooperation and stranger-child competition. Furthermore, parent-child compared to stranger-child brain-to-brain synchrony during cooperation in the FPC mediated the association between the parent's and the child's emotion regulation, as assessed by questionnaires. Thus, we conclude that brain-to-brain synchrony may represent an underlying neural mechanism of the emotional connection between parent and child, which is linked to the child's development of adaptive emotion regulation. Future studies may uncover whether brain-to-brain synchrony can serve as a neurobiological marker of the dyad's socio-emotional in…
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“In contrast, functional near-infrared spectroscopy (fNIRS) [8] and electroencephalography (EEG) [9] are wearable technologies that can be deployed in real-life settings [10,11,12], enabling more naturalistic hyperscanning.”
From Naturalistic Hyperscanning with Wearable Magnetoencephalography (2023) · cites this paper as [11]
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
(2013) · Cited by 44,563
lmerTest Package: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017) · Journal of Statistical Software · doi:10.18637/jss.v082.i13 · Cited by 24,346
Gross, J. J., & John, O. P. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.348 · Cited by 11,929 · cited 4×
“Cognitive reappraisal is defined as “a form of cognitive change that involves construing a potentially emotion-eliciting situation in a way that changes its emotional impact” (Gross and John, 2003) and expressive suppression is defined as “a form of response modulation that involves inhibiting ongoing emotion-expressi…”
BackgroundInfluentialFitting Linear Mixed-Effects Models Using lme4Preprint
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. (2014) · arXiv (Cornell University) · doi:10.3929/ethz-b-000105397 · Cited by 9,435
Social psychology: handbook of basic principles
Higgins, E., & Kruglanski, A. (2008) · Choice Reviews Online · doi:10.5860/choice.45-3496 · Cited by 5,535
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782 · cited 3×
“…the medial prefrontal cortex, which comprises, i.a., BAs 9 and 10 (medial regions), has been hypothesized to play a critical role for theory of mind (ToM)/mentalizing, i.e., the ability to represent another person's psychological perspective, and thus to predict behavior (Amodio and Frith, 2006).”
InfluentialThe Role of the Family Context in the Development of Emotion Regulation
Morris, A. S., Silk, J. S., Steinberg, L. D., Myers, S. S., & Robinson, L. R. (2007) · Social Development · doi:10.1111/j.1467-9507.2007.00389.x · Cited by 3,530
The Neural Bases of Emotion Regulation: Reappraisal and Suppression of Negative Emotion
Goldin, P. R., McRae, K., Ramel, W., & Gross, J. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.05.031 · Cited by 1,886
Cited by
Sorted by citations
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Czeszumski, A., Eustergerling, S., Lang, A., Menrath, D., Gerstenberger, M., Schuberth, S., Schreiber, F., Rendon, Z. Z., & König, P. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00039 · Cited by 511
Adolescence as a pivotal period for emotion regulation development
Silvers, J. A. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.09.023 · Cited by 381
Zimmer‐Gembeck, M. J., Rudolph, J., Kerin, J., & Bohadana, G. (2021) · International Journal of Behavioral Development · doi:10.1177/01650254211051086 · Cited by 298
Interactional synchrony: signals, mechanisms and benefits
Hoehl, S., Fairhurst, M., & Schirmer, A. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa024 · Cited by 231
“For instance, in a collaborative task, 5- to 9-year-old children synchronized brain activities with their mother, but not with an unfamiliar female (Reindl et al., 2018).”
BackgroundInfluentialThe effects of interaction quality on neural synchrony during mother-child problem solving
Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrtička, P., & Hoehl, S. (2019) · Cortex · doi:10.1016/j.cortex.2019.11.020 · Cited by 224
Pan, Y., Dikker, S., Goldstein, P., Zhu, Y., Yang, C., & Hu, Y. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116657 · Cited by 187
Interactive Brain Activity: Review and Progress on EEG-Based Hyperscanning in Social Interactions
Liu, D., Liu, S., Liu, X., Zhang, C., Aosika, L., Jin, C., Chen, Y., Wang, H., & Zhang, X. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01862 · Cited by 182
Inter-brain synchrony in mother-child dyads during cooperation: An fNIRS hyperscanning study
Miller, J. G., Vrtička, P., Cui, X., Shrestha, S. B., Hosseini, S. M. H., Baker, J. M., & Reiss, A. L. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.12.021 · Cited by 180
Inter-brain synchrony in teams predicts collective performance
Reinero, D. A., Dikker, S., & Bavel, J. J. V. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa135 · Cited by 183
Interpersonal Neural Entrainment during Early Social Interaction
Wass, S. V., Whitehorn, M., Haresign, I. M., Phillips, E., & Leong, V. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.006 · Cited by 175
Gvirts, H. Z., & Perlmutter, R. (2019) · The Neuroscientist · doi:10.1177/1073858419861912 · Cited by 166
Neural synchrony in mother-child conversation: Exploring the role of conversation patterns
Nguyen, T., Schleihauf, H., Kayhan, E., Matthes, D., Vrtička, P., & Hoehl, S. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa079 · Cited by 165
“observed higher synchronization between affiliated dyads compared to non-affiliated stranger dyads (Pan, Cheng, Zhang, Li, & Hu, 2017; Reindl et al., 2018).”
BackgroundLong, M., Verbeke, W., Ein‐Dor, T., & Vrtička, P. (2020) · Cortex · doi:10.1016/j.cortex.2020.01.010 · Cited by 169
Real-life creative problem solving in teams: fNIRS based hyperscanning study
Mayseless, N., Hawthorne, G., & Reiss, A. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116161 · Cited by 155
A Multi-Brain Framework for Social Interaction
Kingsbury, L., & Hong, W. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.06.008 · Cited by 153
Dance on the Brain: Enhancing Intra- and Inter-Brain Synchrony
Basso, J. C., Satyal, M. K., & Rugh, R. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.584312 · Cited by 177
Emotional valence modulates the topology of the parent-infant inter-brain network
Santamaria, L., Noreika, V., Georgieva, S., Clackson, K., Wass, S. V., & Leong, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116341 · Cited by 124
Brain and motor synchrony in children and adolescents with ASD—a fNIRS hyperscanning study
Kruppa, J. A., Reindl, V., Gerloff, C., Weiß, E. O., Prinz, J., Herpertz‐Dahlmann, B., Konrad, K., & Schulte‐Rüther, M. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa092 · Cited by 120
Self-citationHakim, U., Felice, S. D., Pinti, P., Zhang, X., Noah, J. A., Ono, Y., Burgess, P. W., Hamilton, A. F. D. C., Hirsch, J., & Tachtsidis, I. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120354 · Cited by 131
Interpersonal Neural Synchrony During Father–Child Problem Solving: An fNIRS Hyperscanning Study
Nguyen, T., Schleihauf, H., Kungl, M., Kayhan, E., Hoehl, S., & Vrtička, P. (2021) · Child Development · doi:10.1111/cdev.13510 · Cited by 114
Coordination Dynamics: A Foundation for Understanding Social Behavior
Tognoli, E., Zhang, M., Fuchs, A., Beetle, C., & Kelso, J. A. S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00317 · Cited by 118
Carozza, S., & Leong, V. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.613378 · Cited by 127
Nam, C. S., Choo, S., Huang, J., & Park, J. (2020) · Applied Sciences · doi:10.3390/app10196669 · Cited by 100
Wang, Q., Han, Z. R., Hu, X., Feng, S., Wang, H., Liu, T., & Yi, L. (2019) · Brain Topography · doi:10.1007/s10548-019-00731-x · Cited by 97
Interpersonal brain synchronization associated with working alliance during psychological counseling
Zhang, Y., Meng, T., Hou, Y., Pan, Y., & Hu, Y. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.09.007 · Cited by 100
Neurobehavioral Interpersonal Synchrony in Early Development: The Role of Interactional Rhythms
Marková, G., Nguyen, T., & Hoehl, S. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02078 · Cited by 97
DePasquale, C. E. (2020) · Development and Psychopathology · doi:10.1017/s0954579420001236 · Cited by 106
Multimodal hyperscanning reveals that synchrony of body and mind are distinct in mother-child dyads
Reindl, V., Wass, S. V., Leong, V., Scharke, W., Wistuba, S., Wirth, C. L., Konrad, K., & Gerloff, C. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118982 · Cited by 90
Self-citationAydın, S. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2959843 · Cited by 89
Your turn, my turn. Neural synchrony in mother–infant proto-conversation
Nguyen, T., Zimmer, L., & Hoehl, S. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0488 · Cited by 99
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Nguyen, T., Hoehl, S., & Vrtička, P. (2021) · Sensors · doi:10.3390/s21124075 · Cited by 91
Quiñones‐Camacho, L. E., Fishburn, F. A., Camacho, M. C., Hlutkowsky, C. O., Huppert, T. J., Wakschlag, L. S., & Perlman, S. B. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13165 · Cited by 84
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Misaki, M., Kerr, K. L., Ratliff, E. L., Cosgrove, K. T., Simmons, W. K., Morris, A. S., & Bodurka, J. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa143 · Cited by 83
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Endevelt–Shapira, Y., Djalovski, A., Dumas, G., & Feldman, R. (2021) · Science Advances · doi:10.1126/sciadv.abg6867 · Cited by 76
Bibliometric evaluation of 2000–2019 publications on functional near-infrared spectroscopy
Yan, W., Zheng, K., Weng, L., Chen, C., Kiartivich, S., Jiang, X., Su, X., Wang, Y., & Wang, X. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117121 · Cited by 75
Zhao, Q., Zhao, W., Lu, C., Du, H., & Chi, P. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105565 · Cited by 77
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Vaisvaser, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.634079 · Cited by 85
Schilbach, L., & Redcay, E. (2025) · Annual Review of Psychology · doi:10.1146/annurev-psych-080123-101149 · Cited by 71
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Kim, P. (2020) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2020.100875 · Cited by 82
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Zhu, Y., Leong, V., Hou, Y., Zhang, D., Pan, Y., & Hu, Y. (2021) · Journal of Educational Psychology · doi:10.1037/edu0000707 · Cited by 72
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Hoyniak, C. P., Quiñones‐Camacho, L. E., Camacho, M. C., Chin, J., Williams, E. M., Wakschlag, L. S., & Perlman, S. B. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100937 · Cited by 74
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Bornstein, M. H., & Esposito, G. (2023) · Children · doi:10.3390/children10081323 · Cited by 82
Sun, B., Xiao, W., Feng, X., Shao, Y., Zhang, W., & Li, W. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.105513 · Cited by 73
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Nguyen, T., Bánki, A., Marková, G., & Hoehl, S. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.05.003 · Cited by 67
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Feng, X., Sun, B., Chen, C., Li, W., Wang, Y., Zhang, W., Xiao, W., & Shao, Y. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa017 · Cited by 59
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daSilva, E. B., & Wood, A. (2025) · Personality and Social Psychology Review · doi:10.1177/10888683241252036 · Cited by 56
Hou, Y., Song, B., Hu, Y., Pan, Y., & Hu, Y. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116655 · Cited by 56
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“…near infrared spectroscopy (fNIRS) (Ferrari and Quaresima, 2012) and electroencephalography (EEG) (Lopes da Silva, 2013) are wearable technologies that can be deployed in real-life settings (Dikker et al., 2017; Leong et al., 2017; Reindl et al., 2018), enabling more naturalistic hyperscanning.”
BackgroundMeulemeester, C. D., Lowyck, B., & Luyten, P. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.04.022 · Cited by 52
Li, L., Wang, H., Luo, H., Zhang, X., Zhang, R., & Li, X. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00169 · Cited by 51
Haresign, I. M., Phillips, E., Whitehorn, M., Goupil, L., Noreika, V., Leong, V., & Wass, S. V. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101093 · Cited by 48
Azhari, A., Bizzego, A., & Esposito, G. (2021) · Social Neuroscience · doi:10.1080/17470919.2021.1970016 · Cited by 49
Zhao, H., Li, Y., Wang, X., Kan, Y., Xu, S., & Duan, H. (2022) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsac005 · Cited by 48
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Levy, J., Lankinen, K., Hakonen, M., & Feldman, R. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa061 · Cited by 46
Duan, H., Yang, T., Wang, X., Kan, Y., Zhao, H., Li, Y., & Hu, W. (2020) · Current Psychology · doi:10.1007/s12144-020-01093-5 · Cited by 47
Nguyen, T., Kungl, M., Hoehl, S., White, L. O., & Vrtička, P. (2024) · Developmental Science · doi:10.1111/desc.13504 · Cited by 53
Rauchbauer, B., & Grosbras, M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.032 · Cited by 47
Lu, K., Gao, Z., Wang, X., Qiao, X., He, Y., Zhang, Y., & Hao, N. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac161 · Cited by 44
Gervain, J., Minagawa‐Kawai, Y., Emberson, L. L., & Lloyd‐Fox, S. (2023) · Neurophotonics · doi:10.1117/1.nph.10.2.023519 · Cited by 43
Li, Y., Chen, M., Zhang, R., & Li, X. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab114 · Cited by 47
Carollo, A., Lim, M., Aryadoust, V., & Esposito, G. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.701824 · Cited by 48
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Kayhan, E., Matthes, D., Haresign, I. M., Bánki, A., Michel, C., Langeloh, M., Wass, S. V., & Hoehl, S. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101104 · Cited by 40
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White, L., Schulz, C. C., Schoett, M. J. S., Kungl, M., Keil, J., Borelli, J., & Vrtička, P. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.517372 · Cited by 38
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Toh, W., & Lim, F. V. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2021.1951768 · Cited by 38
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Hutton, J., Piotrowski, J. T., Bagot, K. S., Blumberg, F. C., Canli, T., Chein, J. M., Christakis, D., Grafman, J. H., Griffin, J. A., Hummer, T. A., et al. (2024) · Current Addiction Reports · doi:10.1007/s40429-024-00545-3 · Cited by 38
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Ratliff, E. L., Kerr, K. L., Cosgrove, K. T., Simmons, W. K., & Morris, A. S. (2022) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-022-00380-w · Cited by 39
Turk, E., Vroomen, J., Fonken, Y. M., Lévy, J., & van den Heuvel, M. I. (2022) · Developmental Psychobiology · doi:10.1002/dev.22221 · Cited by 40
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Norton, E. S., Manning, B. L., Harriott, E. M., Nikolaeva, J. I., Nyabingi, O. S., Fredian, K. M., Page, J. M., McWeeny, S., Krogh‐Jespersen, S., MacNeill, L. A., et al. (2022) · Developmental Psychobiology · doi:10.1002/dev.22240 · Cited by 35
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Azhari, A., Bizzego, A., & Esposito, G. (2022) · Social Neuroscience · doi:10.1080/17470919.2022.2162118 · Cited by 40
Zhao, H., Zhang, C. M., Tao, R., Duan, H., & Xu, S. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120043 · Cited by 34
Yeung, M. K.-C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117672 · Cited by 36
Samadani, A., Kim, S. J., Moon, J., Kang, K., & Chau, T. T. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.531915 · Cited by 37
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Pietarinen, J., Pyhältö, K., Haverinen, K., Leskinen, E., & Soini, T. (2021) · International Journal of School & Educational Psychology · doi:10.1080/21683603.2021.1942344 · Cited by 43
Deng, X., Lin, M., Zhang, L., Li, X., & Gao, Q. (2022) · Behavioral and Brain Functions · doi:10.1186/s12993-022-00197-1 · Cited by 32
Burkhouse, K. L., & Kujawa, A. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13734 · Cited by 32
Generation WhatsApp: inter-brain synchrony during face-to-face and texting communication
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Deng, X., Chen, X., Zhang, L., Gao, Q., Li, X., & An, S. (2022) · International Journal of Clinical and Health Psychology · doi:10.1016/j.ijchp.2022.100329 · Cited by 31
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Metadata
- Authors
- Reindl, V., Gerloff, C., Scharke, W., & Konrad, K.
- Affiliations
- Jülich Aachen Research Alliance (DE)
- RWTH Aachen University (DE)
- Forschungszentrum Jülich (DE)
- Corresponding author
- Reindl, Vanessa
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 178
- Pages
- 493-502
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2803532578
- Cited by
- 411
- References
- 76
- Citations by year
- 2026: 43 · 2025: 61 · 2024: 61 · 2023: 67 · 2022: 58 · 2021: 57 · 2020: 45 · 2019: 15 · 2018: 4
- FWCI
- 40.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Bundesministerium für Bildung und Forschung (01KR1302A)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroendocrine regulation and behavior
- Keywords
- brain-to-brain synchrony, parent-child dyads, emotion regulation, prefrontal cortex, frontopolar cortex, dorsolateral prefrontal cortex, cooperative play, competitive play, mother-child interaction, social bonding, child development
- MeSH terms
- Adult, Brain Mapping, Child, Cooperative Behavior, Emotions, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Parent-Child Relations, Prefrontal Cortex, Spectroscopy, Near-Infrared
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