Evidence map›Paper›PMID 35314719›Full record

ArticleScientific reports2022

Bio-behavioral synchrony is a potential mechanism for mate selection in humans.

Lior Zeevi, Nathalie Klein Selle, Eva Ludmilla Kellmann, Gal Boiman, Yuval Hart, Shir Atzil

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Lior Zeevi *Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
Nathalie Klein Selle *Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
Eva Ludmilla KellmannDepartment of Education and Psychology, Freie University, Berlin, Germany.
Gal BoimanDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
Yuval HartDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
Shir AtzilDepartment of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel. shir.atzil@mail.huji.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The decision with whom to form a romantic bond is of great importance, yet the biological or behavioral mechanisms underlying this selective process in humans are largely unknown. Classic evolutionary theories of mate selection emphasize immediate and static features such as physical appearance and fertility. However, they do not explain how initial attraction temporally unfolds during an interaction, nor account for mutual physiological or behavioral adaptations that take place when two people become attracted. Instead, recent theories on social bonding emphasize the importance of co-regulation during social interactions (i.e., the social coordination of physiology and behavior between partners), and predict that co-regulation plays a role in bonding with others. In a speed-date experiment of forty-six heterosexual dates, we recorded the naturally occurring patterns of electrodermal activity and behavioral motion in men and women, and calculated their co-regulation during the date. We demonstrate that co-regulation of behavior and physiology is associated with the date outcome: when a man and a woman synchronize their electrodermal activity and dynamically tune their behavior to one another, they are more likely to be romantically and sexually attracted to one another. This study supports the hypothesis that co-regulation of sympathetic and behavioral rhythms between a man and a woman serves as a mechanism that promotes attraction.

Indexed as

MarriageSexual BehaviorFemaleHumansMale

Identifiers

PMID35314719
PMCPMC8938461

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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.