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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
Evaluating significance in linear mixed-effects models in R
Luke, S. G. (2017) · Behavior Research Methods · doi:10.3758/s13428-016-0809-y · Cited by 1,704
Shields, A. M., & Cicchetti, D. (1997) · Developmental Psychology · doi:10.1037/0012-1649.33.6.906 · Cited by 1,632
It's All in the Timing: Interpersonal Synchrony Increases Affiliation
Hove, M. J., & Risen, J. L. (2009) · Social Cognition · doi:10.1521/soco.2009.27.6.949 · Cited by 1,334 · cited 3×
“Interpersonal synchronization has been postulated as an evolutionary adaptive mechanism of bond formation (Hove and Risen, 2009; Wheatley et al., 2012).”
BackgroundFeldman, R. (2007) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01701.x · Cited by 1,317 · cited 6×
“Over time, parent's and child's behavioral and biological systems may become mutually attuned to the patterns of the attachment partner, supporting the formation of an affectionate bond (Field, 1985; Feldman, 2007), which in turn sets the framework for the child's emotional development (Kobak et al.”
InfluentialBrain-to-brain coupling: a mechanism for creating and sharing a social world
Hasson, U., Ghazanfar, A. A., Galantucci, B., Garrod, S., & Keysers, C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.007 · Cited by 1,140
How the Timing and Quality of Early Experiences Influence the Development of Brain Architecture
Fox, S. E., Levitt, P., & Nelson, C. A. (2010) · Child Development · doi:10.1111/j.1467-8624.2009.01380.x · Cited by 1,088
A functional imaging study of cooperation in two-person reciprocal exchange
McCabe, K., Houser, D., Ryan, L., Smith, V., & Trouard, T. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211415698 · Cited by 984
Lloyd‐Fox, S., Blasi, A., & Elwell, C. E. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.07.008 · Cited by 902
Cui, X., Bryant, D. M., & Reiss, A. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.003 · Cited by 807
Attachment and Emotion Regulation during Mother-Teen Problem Solving: A Control Theory Analysis
Kobak, R. R., Cole-Detke, H., Ferenz-Gillies, R., Fleming, W. S., & Gamble, W. C. (1993) · Child Development · doi:10.1111/j.1467-8624.1993.tb02906.x · Cited by 755
Yekutieli, D., & Benjamini, Y. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00041-5 · Cited by 738
When zero is not zero: the problem of ambiguous baseline conditions in fMRI
Stark, C. E. L., & Squire, L. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.221462998 · Cited by 724
THE CONTINUOUS WAVELET TRANSFORM: MOVING BEYOND UNI‐ AND BIVARIATE ANALYSIS
Aguiar‐Conraria, L., & Soares, M. J. (2013) · Journal of Economic Surveys · doi:10.1111/joes.12012 · Cited by 722
Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI
Singh, A., Okamoto, M., Dan, H., Jurcak, V., & Dan, I. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.019 · Cited by 705
Kalina Christoff, A., & Gabrieli, J. D. E. (2000) · Psychobiology · doi:10.3758/bf03331976 · Cited by 697
Scholkmann, F., Spichtig, S., Muehlemann, T., & Wolf, M. (2010) · Physiological Measurement · doi:10.1088/0967-3334/31/5/004 · Cited by 688
Genetics of emotional regulation: the role of the serotonin transporter in neural function
Hariri, A. R., & Holmes, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.02.011 · Cited by 688
Virtual spatial registration of stand-alone fNIRS data to MNI space
Tsuzuki, D., Jurcak, V., Singh, A. K., Okamoto, M., Watanabe, E., & Dan, I. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.043 · Cited by 632
Social neuroscience and hyperscanning techniques: past, present and future.
Babiloni, F., & Astolfi, L. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.07.006 · Cited by 573
Interpersonal autonomic physiology: a systematic review of the literature
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017) · Personality and Social Psychology Review · doi:10.1177/1088868316628405 · Cited by 566
Experience and the developing prefrontal cortex
Kolb, B., Mychasiuk, R., Muhammad, A., Li, Y., Frost, D. O., & Gibb, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121251109 · Cited by 564
Emotions promote social interaction by synchronizing brain activity across individuals
Nummenmaa, L., Glerean, E., Viinikainen, M., Jääskeläinen, I. P., Hari, R., & Sams, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206095109 · Cited by 538
The rhythm of joint action: synchrony promotes cooperative ability.
Valdesolo, P., Ouyang, J., & DeSteno, D. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2010.03.004 · Cited by 521 · cited 2×
“On a behavioral level, it has been shown that rocking in synchrony enhanced the perceptual sensitivity to the motion of other entities and thereby increased success in a subsequent joint action task (Valdesolo et al., 2010).”
Generalized Morse Wavelets as a Superfamily of Analytic Wavelets
Lilly, J. M., & Olhede, S. C. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2210890 · Cited by 510
Neural Synchronization during Face-to-Face Communication
Jiang, J., Dai, B., Peng, D., Zhu, C., Liu, L., & Lu, C. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2926-12.2012 · Cited by 489
Emotion regulation in parenthood
Rutherford, H. J. V., Wallace, N. S., Laurent, H. K., & Mayes, L. C. (2015) · Developmental Review · doi:10.1016/j.dr.2014.12.008 · Cited by 485
Keller, P. E., Novembre, G., & Hove, M. J. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0394 · Cited by 466
Synchrony in Psychotherapy: A Review and an Integrative Framework for the Therapeutic Alliance
Koole, S. L., & Tschacher, W. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00862 · Cited by 456 · cited 3×
“By providing both individuals access to another's internal states (Semin, 2007), it may facilitate emotional sharing and social understanding (Wheatley et al., 2012; Koole and Tschacher, 2016).”
BackgroundScholkmann, F., & Wolf, M. (2013) · Journal of Biomedical Optics · doi:10.1117/1.jbo.18.10.105004 · Cited by 451
Brains swinging in concert: cortical phase synchronization while playing guitar.
Lindenberger, U., Li, S.-C., Gruber, W., & Müller, V. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-22 · Cited by 444
Annual Research Review: Parenting and children’s brain development: the end of the beginning
Belsky, J., & de Haan, M. D. H. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02281.x · Cited by 440
Emotion Regulation Questionnaire – Eine deutschsprachige Fassung des ERQ von Gross und John
Abler, B., & Kessler, H. (2009) · Diagnostica · doi:10.1026/0012-1924.55.3.144 · Cited by 434
The adaptive human parental brain: implications for children's social development
Feldman, R. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.04.004 · Cited by 419
Attachment and emotion regulation during mother-teen problem solving: A control theory analysis
Kobak, R. R., Cole, H. E., Ferenz-Gillies, R., Fleming, W. S., & Gamble, W. (1993) · Child Development · doi:10.2307/1131448 · Cited by 413
Lanzetta, J. T., & Englis, B. G. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.56.4.543 · Cited by 377
Centrality of social interaction in human brain function.
Hari, R., Henriksson, L., Malinen, S., & Parkkonen, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.022 · Cited by 370
Schore, A. N. (2005) · Pediatrics in Review · doi:10.1542/pir.26-6-204 · Cited by 342
Konvalinka, I., & Roepstorff, A. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00215 · Cited by 324
The Psychobiology of Attachment and Separation
(1985) · Elsevier eBooks · doi:10.1016/b978-0-12-586780-1.x5001-0 · Cited by 323
Cooperation in lovers: An fNIRS-based hyperscanning study
Pan, Y., Cheng, X., Zhang, Z., Li, X., & Hu, Y. (2016) · Human Brain Mapping · doi:10.1002/hbm.23421 · Cited by 316
On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note
Burgess, A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00881 · Cited by 269
Cheng, X., Li, X., & Hu, Y. (2015) · Human Brain Mapping · doi:10.1002/hbm.22754 · Cited by 263
Hirsch, J., Zhang, X., Noah, J. A., & Ono, Y. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.018 · Cited by 236
Atzil, S., Hendler, T., Zagoory-Sharon, O., Winetraub, Y., & Feldman, R. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.06.008 · Cited by 225
Funane, T., Kiguchi, M., Atsumori, H., Sato, H. R., Kubota, K., & Koizumi, H. (2011) · Journal of Biomedical Optics · doi:10.1117/1.3602853 · Cited by 200
From social behaviour to brain synchronization: Review and perspectives in hyperscanning
Dumas, G., Lachat, F., Martinerie, J. M., Nadel, J., & George, N. (2011) · IRBM · doi:10.1016/j.irbm.2011.01.002 · Cited by 196
Sex differences in neural and behavioral signatures of cooperation revealed by fNIRS hyperscanning
Baker, J. M., Liu, N., Cui, X., Vrtička, P., Saggar, M., Hosseini, S. M. H., & Reiss, A. L. (2016) · Scientific Reports · doi:10.1038/srep26492 · Cited by 194
Feldman, R. (2010) · Attachment & Human Development · doi:10.1080/14616730903282472 · Cited by 192
Bilek, E., Ruf, M., Schäfer, A., Akdeniz, C., Calhoun, V. D., Schmahl, C. G., Demanuele, C., Tost, H., Kirsch, P., & Meyer‐Lindenberg, A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421831112 · Cited by 191
Brain-to-brain synchronization across two persons predicts mutual prosociality
Hu, Y., Hu, Y., Li, X., Pan, Y., & Cheng, X. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx118 · Cited by 188
Feldman, R. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000656 · Cited by 181
From mind perception to mental connection: synchrony as a mechanism for social understanding.
Wheatley, T., Kang, O., Parkinson, C., & Looser, C. E. (2012) · Social and Personality Psychology Compass · doi:10.1111/j.1751-9004.2012.00450.x · Cited by 178
Attachment as Psychobiological Attunement: Being on the Same Wavelength
Field, T. M. (1985) · Elsevier eBooks · doi:10.1016/b978-0-12-586780-1.50019-7 · Cited by 146
Emotional speech synchronizes brains across listeners and engages large-scale dynamic brain networks
Nummenmaa, L., Saarimäki, H., Glerean, E., Gotsopoulos, A., Jääskeläinen, I. P., Hari, R., & Sams, M. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.063 · Cited by 137
Interpersonal synchrony enhanced through 20 Hz phase-coupled dual brain stimulation
Novembre, G., Knoblich, G., Dunne, L., & Keller, P. E. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw172 · Cited by 137
Ohnishi, T., Moriguchi, Y., Matsuda, H., Mori, T., Hirakata, M., Imabayashi, E., Hirao, K., Nemoto, K., Kaga, M., Inagaki, M., et al. (2004) · NeuroReport · doi:10.1097/01.wnr.0000127464.17770.1f · Cited by 114
Perception of social synchrony induces mother–child gamma coupling in the social brain
Levy, J., Goldstein, A., & Feldman, R. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx032 · Cited by 109
Tanabe, H. C., Kosaka, H., Saito, D. N., Koike, T., Hayashi, M. J., Izuma, K., Komeda, H., Ishitobi, M., Omori, M., Munesue, T., et al. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00268 · Cited by 103
Schore, A. N. (2005) · Cited by 97
Lee, T., Miernicki, M. E., & Telzer, E. H. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.078 · Cited by 82
Grounding communication: Synchrony.
Semin, G. R. (2007) · Data Archiving and Networked Services (DANS) · Cited by 74
Clarifying the interaction types in two-person neuroscience research
Liu, T., & Pelowski, M. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00276 · Cited by 65
Gabard-Durnam, L. J., Gee, D. G., Goff, B., Flannery, J., Telzer, E. H., Humphreys, K. L., Lumian, D. S., Fareri, D. S., Caldera, C., & Tottenham, N. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0598-16.2016 · Cited by 62
Hyper-Brain Networks Support Romantic Kissing in Humans
Müller, V., & Lindenberger, U. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112080 · Cited by 61
Lurito (2000) · doi:10.1002/1097-0193(200007)10:3
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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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