Evidence map›Paper›PMID 42696418›Full record

ArticleSocial cognitive and affective neuroscience2026

The mentalizing network updates neural representations of romantic interest in response to social feedback.

Benjamin M Silver, Christopher Baldassano, Lila Davachi, Kevin N Ochsner

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 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

4 authors.

Benjamin M SilverDepartment of Psychology, Columbia University, New York, NY 10027, United States.ORCID 0000-0002-4763-3281
Christopher BaldassanoDepartment of Psychology, Columbia University, New York, NY 10027, United States.ORCID 0000-0003-3540-5019
Lila DavachiDepartment of Psychology, Columbia University, New York, NY 10027, United States.ORCID 0000-0003-4317-0889
Kevin N OchsnerDepartment of Psychology, Columbia University, New York, NY 10027, United States.

Funding

Columbia's Zuckerman Mind Brain Behavior Institute
6 · The paper itself

Abstract

When we think about the start of a successful close relationship, we often imagine two people independently evaluating each other. But what if how much we like someone depends on how much we think they like us? In the current study, we asked how social feedback changes how one thinks about potential romantic partners, as well as how often one thinks about them. We hypothesized that the mentalizing network would play a role in both of these processes. During a functional magnetic resonance imaging scan, participants watched dating profile videos of eight different target individuals, both before and after receiving social feedback from the target. We found that neural representations in the mentalizing network changed most in response to social feedback that was incongruent with one's initial evaluation, likely because romantic interest in another person is at least partially based on what one believes that other person is thinking. In addition, during a resting-state scan, reactivation frequency in the temporoparietal junction increased in response to congruent feedback. Considered together, these results demonstrate that the desire to be aligned with another person motivates both how and how often one thinks about that person, thus highlighting the importance of others' social evaluations in our own.

Indexed as

BrainFeedback, PsychologicalInterpersonal RelationsMentalizationSocial PerceptionTheory of MindAdultBrain MappingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePhotic StimulationYoung Adultimpression updatingmentalizing networkrepresentational similarity analysisromantic interestsocial feedback

Identifiers

PMID42696418
PMCPMC13597127

What OpenQuestion holds

Textmetadata
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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.