Evidence map›Paper›PMID 41688473›Full record

ArticleScientific reports2026

Demographic differences are associated with temporal variation in cardiac and electrodermal interpersonal synchrony.

Shay Ohayon, Chen Erez, Ilanit Gordon

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shay OhayonDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel.ORCID http://orcid.org/0000-0001-8417-9121
Chen ErezDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel.ORCID http://orcid.org/0000-0001-7645-4808
Ilanit GordonDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel. ilanit.gordon@biu.ac.il.ORCID http://orcid.org/0000-0002-4888-1308

Funding

Israel Science Foundation 434/21
6 · The paper itself

Abstract

Interpersonal physiological synchrony is known to foster group cohesion and collaboration. In this study, weexamined how demographic diff erences among group members (gender, religiosity, and nationality) relate tophysiological synchrony during the earliest phases of group interaction. Four hundred and thirty-eight participants,organized into 146 triads across three experimental paradigms (drumming, decision-making, and word assembly),engaged in an initial baseline non-interactive phase followed by an interactive joint task. Synchrony was quantifi edin two physiological measures - Interbeat intervals (IBI) and electrodermal activity (EDA). Our fi ndings revealincreased EDA levels among triads with greater demographic diff erences during a baseline phase, even before overtsocial interaction commences. Moreover, a dual eff ect of demographic diff erences emerged: Greater diff erenceswere associated with diminished EDA synchrony during the baseline (but not during the interactive phase), and withdiminished IBI synchrony during the interaction phase (but not during the baseline). These results suggest thatdemographic diff erences relate to distinct physiological systems in complex specifi c ways, refl ecting both an initialshared arousal and subsequent challenges in coordinated engagement. Our study advances understanding of howearly demographic diff erences shape biobehavioral foundations of group dynamics, with implications for improvingcohesion and performance in heterogeneous settings.

Indexed as

Galvanic Skin ResponseHeart RateInterpersonal RelationsDemographyFemaleGroup DynamicsHumansMaleSocial Group

Identifiers

PMID41688473
PMCPMC12982475

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.