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Synchronizing brains and hearts: A practical guide for caregiver-child fNIRS-ECG multimodal hyperscanning.

Overview

Authors: Yelim Hong1, Nicole J Moore1, Laura E Quiñones-Camacho1
ORCID iDs: Yelim Hong
  1. Department of Educational Psychology, The University of Texas, 1912 SpeedwaySZB 5.708, Austin, TX 78712 USA
Institutions: The University of Texas at Austin (United States)
Journal: Behavior research methods, volume 58, issue 7, article 199
Dates: received 30 June 2025; accepted 7 May 2026; published online 17 June 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3758/s13428-026-03060-7 · PMID 42307880 · PMCID PMC13275591 · OpenAlex W7165038463
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: other (modality), fNIRS (modality), human (organism), methods / tools (subfield)
Methods: fMRI & imaging, Physiology & signal measures, Smoothing, state filtering, decompositions, Machine learning
Keywords: Syncyrony, Multimodal hyperscanning, Functional near-infrared spectroscopy (fNIRS), Electrocardiography (ECG)
MeSH: Brain*, Electrocardiography*, Heart*, Caregivers, Child, Child, Preschool, Female, Humans, Male, Spectroscopy, Near-Infrared (* major topic)
Topic: Action Observation and Synchronization (Social Psychology, Psychology), according to OpenAlex
Funding: NIMH NIH HHS (K01 MH133968); NICHD NIH HHS (K99 HD119293)
Citations: not cited yet (Europe PMC); 128 references in the paper

Abstract

The study of synchrony—concordant neural, physiological, and behavioral activity between individuals—has advanced our understanding of co-regulation and socio-emotional development, particularly within caregiver–child relationships. While previous research has often examined neural and physiological synchrony separately, recent multimodal approaches highlight the importance of integrating these systems. This paper presents a comprehensive, practical guide to multimodal hyperscanning using functional near-infrared spectroscopy (fNIRS) and electrocardiography (ECG) in caregiver–child dyads. We outline theoretical foundations, methodological considerations, and detailed protocols for synchronizing fNIRS (via NIRx), ECG (via Mindware), behavioral video (via Mangold VideoSyncPro), and task stimuli (via PsychoPy) in a fully time-aligned manner. We describe equipment configurations, software integration, trigger-based synchronization workflows, and strategies to overcome common challenges in developmental psychophysiological research, particularly with young children. Drawing from our experience with children aged 3–7 years, we provide empirical benchmarks for feasibility, compliance, and data quality. This guide provides a practical, adaptable framework designed to lower the barrier to entry for multimodal hyperscanning and encourage its widespread use in developmental research. Integrating neural and physiological synchrony allows researchers to capture the dynamic, multi-systemic nature of caregiver–child interaction and opens new avenues for investigating mechanisms of co-regulation, emotional development, and risk for psychopathology.

Supplementary Information: The online version contains supplementary material available at 10.3758/s13428-026-03060-7.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

support.mindwaretech.com/knowledge-base/kb0092

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Synchronization of fNIRS, ECG, PsychoPy, and Man”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

support.mindwaretech.com/knowledge-base/kb0093

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Synchronization of fNIRS, ECG, PsychoPy, and Man”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

Code availability

Code sharing not applicable to this article.

Reproduced under the paper's license (CC BY), from the paper cited above.

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  • 0 scripts, each with its path and the digest of its content;
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Data availability

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Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 2, 28 September 2026

  • Publisher: — → Springer Science+Business Media

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 10 MeSH terms, 2 funders, 108 references.

Cite

This paper

Hong, Y., Moore, N. J., & Quiñones-Camacho, L. E. (2026). Synchronizing brains and hearts: A practical guide for caregiver-child fNIRS-ECG multimodal hyperscanning. Behavior research methods, 58(7), 199. https://doi.org/10.3758/s13428-026-03060-7

BibTeX

@article{hong2026synchronizing,
author = {Hong, Yelim and Moore, Nicole J and Quiñones-Camacho, Laura E},
title = {{Synchronizing brains and hearts: A practical guide for caregiver-child fNIRS-ECG multimodal hyperscanning}},
journal = {Behavior research methods},
year = {2026},
month = jun,
volume = {58},
number = {7},
pages = {199},
publisher = {Springer Science+Business Media},
issn = {1554-351X},
doi = {10.3758/s13428-026-03060-7},
url = {https://doi.org/10.3758/s13428-026-03060-7},
pmid = {42307880},
pmcid = {PMC13275591}
}

RIS

TY - JOUR
AU - Hong, Yelim
AU - Moore, Nicole J
AU - Quiñones-Camacho, Laura E
TI - Synchronizing brains and hearts: A practical guide for caregiver-child fNIRS-ECG multimodal hyperscanning
T2 - Behavior research methods
J2 - Behav Res Methods
PY - 2026
DA - 2026/06/17
VL - 58
IS - 7
SP - 199
SN - 1554-351X
PB - Springer Science+Business Media
DO - 10.3758/s13428-026-03060-7
UR - https://doi.org/10.3758/s13428-026-03060-7
LA - en
ER -

CSL-JSON

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