Evidence map›Paper›PMID 33031496›Full record

ArticleSocial cognitive and affective neuroscience2021

HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis.

Anaël Ayrolles, Florence Brun, Phoebe Chen, Amir Djalovski, Yann Beauxis, Richard Delorme, Thomas Bourgeron, Suzanne Dikker, Guillaume Dumas

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Promoting Social Connectedness Through Interbrain Neurofeedback.Annals of the New York Academy of Sciences · 2025
    Trial
  3. Article
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  5. Review
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  14. Non-verbal effecting - animal research sheds light on human emotion communication.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  15. Article
  16. Sensory multi-brain stimulation enhances dyadic cooperative behavior.Social cognitive and affective neuroscience · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors.

Anaël AyrollesDepartment of Neuroscience, Institut Pasteur, Paris, France.
Florence BrunDepartment of Neuroscience, Institut Pasteur, Paris, France.
Phoebe ChenDepartment of Psychology, New York University, New York City, USA.
Amir DjalovskiBaruch Ivcher School of Psychology, Center for Developmental Social Neuroscience, Interdiscilinary Center Herzliya, Baruch Ivcher School of Psychology, Herzliya, Israel.
Yann BeauxisDepartment of Neuroscience, Institut Pasteur, Paris, France.
Richard DelormeDepartment of Neuroscience, Institut Pasteur, Paris, France.
Thomas BourgeronDepartment of Neuroscience, Institut Pasteur, Paris, France.
Suzanne DikkerDepartment of Psychology, New York University, New York City, USA.
Guillaume DumasDepartment of Neuroscience, Institut Pasteur, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bulk of social neuroscience takes a 'stimulus-brain' approach, typically comparing brain responses to different types of social stimuli, but most of the time in the absence of direct social interaction. Over the last two decades, a growing number of researchers have adopted a 'brain-to-brain' approach, exploring similarities between brain patterns across participants as a novel way to gain insight into the social brain. This methodological shift has facilitated the introduction of naturalistic social stimuli into the study design (e.g. movies) and, crucially, has spurred the development of new tools to directly study social interaction, both in controlled experimental settings and in more ecologically valid environments. Specifically, 'hyperscanning' setups, which allow the simultaneous recording of brain activity from two or more individuals during social tasks, has gained popularity in recent years. However, currently, there is no agreed-upon approach to carry out such 'inter-brain connectivity analysis', resulting in a scattered landscape of analysis techniques. To accommodate a growing demand to standardize analysis approaches in this fast-growing research field, we have developed Hyperscanning Python Pipeline, a comprehensive and easy open-source software package that allows (social) neuroscientists to carry-out and to interpret inter-brain connectivity analyses.

Indexed as

Interpersonal RelationsSocial InteractionBrainBrain MappingElectroencephalographyHumansanalysis pipelinehyperscanninginter-brain connectivitynon-parametric statisticspython

Identifiers

PMID33031496
PMCPMC7812632

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.