Evidence map›Paper›PMID 33025001›Full record

ArticleSocial cognitive and affective neuroscience2021

Neural reference groups: a synchrony-based classification approach for predicting attitudes using fNIRS.

Macrina C Dieffenbach, Grace S R Gillespie, Shannon M Burns, Ian A McCulloh, Daniel L Ames, Munqith M Dagher, Emily B Falk, Matthew D Lieberman

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Neural predictors of hidden, persistent psychological states at work.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Social and Affective Neuroscience: Ensuring our future.Social cognitive and affective neuroscience · 2024
    Article
  8. Article
  9. Hostile Attribution Bias Shapes Neural Synchrony in the Left Ventromedial Prefrontal Cortex during Ambiguous Social Narratives.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  10. Deeper Than You Think: Partisanship-Dependent Brain Responses in Early Sensory and Motor Brain Regions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  11. 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

8 authors.

Macrina C DieffenbachAnnenberg School of Communication, University of Pennsylvania, Philadelphia, Philadelphia, PA 19104, USA.
Grace S R GillespieAnnenberg School of Communication, University of Pennsylvania, Philadelphia, Philadelphia, PA 19104, USA.
Shannon M BurnsAnnenberg School of Communication, University of Pennsylvania, Philadelphia, Philadelphia, PA 19104, USA.
Ian A McCullohAccenture Federal Services, 800 N Glebe Rd, Arlington, VA 22203.
Daniel L AmesAnnenberg School of Communication, University of Pennsylvania, Philadelphia, Philadelphia, PA 19104, USA.
Munqith M DagherIndependent Institute & Administration Civil Society Studies (IIACSS) Research Group, Al Hussam Center 2 270 Arar Mustafa Wahbii Al Tal, Amman, Jordan.
Emily B FalkAnnenberg School of Communication, University of Pennsylvania, Philadelphia, PA 19104, USA, Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA, Wharton Marketing Department, University of Pennsylvania, Philadelphia, PA 19104, USA, University of Pennsylvania.
Matthew D LiebermanAnnenberg School of Communication, University of Pennsylvania, Philadelphia, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social neuroscience research has demonstrated that those who are like-minded are also 'like-brained.' Studies have shown that people who share similar viewpoints have greater neural synchrony with one another, and less synchrony with people who 'see things differently.' Although these effects have been demonstrated at the 'group level,' little work has been done to predict the viewpoints of specific 'individuals' using neural synchrony measures. Furthermore, the studies that have made predictions using synchrony-based classification at the individual level used expensive and immobile neuroimaging equipment (e.g. functional magnetic resonance imaging) in highly controlled laboratory settings, which may not generalize to real-world contexts. Thus, this study uses a simple synchrony-based classification method, which we refer to as the 'neural reference groups' approach, to predict individuals' dispositional attitudes from data collected in a mobile 'pop-up neuroscience' lab. Using functional near-infrared spectroscopy data, we predicted individuals' partisan stances on a sociopolitical issue by comparing their neural timecourses to data from two partisan neural reference groups. We found that partisan stance could be identified at above-chance levels using data from dorsomedial prefrontal cortex. These results indicate that the neural reference groups approach can be used to investigate naturally occurring, dispositional differences anywhere in the world.

Indexed as

AttitudeEmotionsBrainHumansMaleNeuroimagingPrefrontal CortexSpectroscopy, Near-InfrareddmPFCfNIRSintersubject correlationneural reference groupsneural synchrony

Identifiers

PMID33025001
PMCPMC7812626

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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.