Evidence map›Paper›PMID 40800758›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Investigating short windows of interbrain synchrony: A step toward fNIRS-based hyperfeedback.

Kathrin Kostorz, Trinh Nguyen, Yafeng Pan, Filip Melinscak, David Steyrl, Yi Hu, Bettina Sorger, Stefanie Hoehl, Frank Scharnowski

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Promoting Social Connectedness Through Interbrain Neurofeedback.Annals of the New York Academy of Sciences · 2025
    Trial
  2. Multi-brain neurofeedback: what are we training for?Trends in cognitive sciences · 2026
    Review
  3. Article
  4. Article
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.

Kathrin KostorzDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-2284-9588
Trinh NguyenDepartment of Developmental and Educational Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-0420-2147
Yafeng PanDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-5633-8313
Filip MelinscakDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-8767-358X
David SteyrlDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-3215-8115
Yi HuShanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
Bettina SorgerDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0003-1393-3144
Stefanie HoehlDepartment of Developmental and Educational Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0003-0472-0374
Frank ScharnowskiDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-9973-2521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social interaction is of fundamental importance to humans. Prior research has highlighted the link between interbrain synchrony and positive outcomes in human social interaction. Neurofeedback is an established method to train one's brain activity and might offer a possibility to increase interbrain synchrony, too. Consequently, it would be advantageous to determine the feasibility of creating a neurofeedback system for enhancing interbrain synchrony to benefit human interaction. One vital step toward developing a neurofeedback setup is to determine whether the target metric can be determined in relatively short time windows. In this study, we investigated whether the most widely employed metric for interbrain synchrony, wavelet transform coherence, can be assessed accurately in short time windows using functional near-infrared spectroscopy (fNIRS), which is recognized for its mobility and ecological suitability for interactive research. To this end, we have undertaken a comprehensive approach where we created artificial data of different noise levels of a dyadic interaction and re-processed two human-interaction datasets. For both artificial and in vivo data, we computed short windows of interbrain synchrony of varying size and assessed significance at each window size. Our findings indicate that relatively short windows of wavelet transform coherence of integration durations of about 1 minute are feasible. This would align well with the methodology of an intermittent neurofeedback procedure. Our investigation lays a foundational step toward an fNIRS-based system to measure interbrain synchrony in real time and provide participants with information about their interbrain synchrony. This advancement is crucial for the future development of a neurofeedback training system tailored to enhance interbrain synchrony to potentially benefit human interaction.

Indexed as

fNIRShyperfeedbackhyperscanninginterbrain synchronyinterpersonal neural synchronyneurofeedback

Identifiers

PMID40800758
PMCPMC12319745

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.