Cited by 306Action Observation and SynchronizationNarrative Theory and AnalysisNeurobiology of Language and Bilingualism

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index; none of the 43 sources its claims cite is checked for support yet.

Shared understanding of narratives is correlated with shared neural responses

Open access

Abstract

Humans have a striking ability to infer meaning from even the sparsest and most abstract forms of narratives. At the same time, flexibility in the form of a narrative is matched by inherent ambiguity in its interpretation. How does the brain represent subtle, idiosyncratic differences in the interpretation of abstract and ambiguous narratives? In this fMRI study, subjects were scanned either watching a novel 7-min animation depicting a complex narrative through the movement of geometric shapes, or listening to a narration of the animation's social story. Using an intersubject representational similarity analysis that compared interpretation similarity and neural similarity across subjects, we found that the more similar two people's interpretations of the abstract shapes animation were, the more similar were their neural responses in regions of the default mode network (DMN) and fronto-parietal network. Moreover, these shared responses were modality invariant: the shapes movie and the verbal interpretation of the movie elicited shared responses in linguistic areas and a subset of the DMN when subjects shared interpretations. Together, these results suggest a network of high-level regions that are not only sensitive to subtle individual differences in narrative interpretation during naturalistic conditions, but also resilient to large differences in the modality of the narrative.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2018.09.010

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

7 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

0 of 43 cited sources checked · 0 supported · 0 flagged

Show all 34 claims

  • Probably not a substantial claim. 21
  • It may state two separate claims as one. 18
  • The quote only partly states this claim. 1
34 of 34
  • The paper relies on this without support.

    Free recall similarity, as measured by LSA, reflects similarity in narrative interpretation.

    “Here, we used LSA to measure similarity of subject recalls within and across the two stimuli.”
    “we first constructed a recall similarity matrix using LSA cosine similarity (see Section 2.5), which represents how similarly each pair of subjects interpreted the stimulus.”
  • The paper relies on this without support.

    Free recall descriptions capture subjects' interpretations of the narrative.

    “Immediately following stimulus presentation, all subjects were asked to freely describe the stimulus. Based on textual analysis of these free recalls, we then compared recall similarity with neural similarity using both intersubject correlation analysis (ISC) and intersubject representational similarity analysis (RSA).”
  • The paper relies on this without support.

    Similarity between subjects' post-viewing descriptions (recall similarity) is a valid measure of similarity in their interpretation of the narrative.

    “We found that the level of recall similarity was correlated with the level of neural similarity in PMC, right angular gyrus, right SMG, bilateral anterior STG, bilateral DMPFC, and bilateral DLPFC (q<.05, FDR corrected; Fig. 4).”
    “In ROI analyses, we found that interpretation similarity across modalities was significantly correlated with neural similarity across modalities in right DLPFC, PMC, and right angular gyrus (p<.05) with a trending correlation in left DLPC (p=.068) (Fig 5B).”
  • The paper relies on this without support.

    The observed relationship between recall similarity and neural similarity is not primarily driven by differences in memory performance or attention/arousal.

    “Finally, it is possible that differences among the high- and low-recall similarity groups may better reflect differences in memory and performance on the recall task, rather than differences in interpretation.”
4 of 4

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

  • Inconsistent p-value: t(52) = 1.82, p = .073

    Minor

    The paper reports p = .073 here; recomputing from the test statistic and its degrees of freedom gives p = .075 (two-tailed). The check cannot tell whether the statistic or the p-value is the misprint.

    Reported p = .073 · recomputed p = .075

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upt(52) = 1.82reported p = .073 · recomputed p = .075

    “t(52) = 1.82, p = .073”

  • Consistentt(781) = 22.7reported p < .001 · recomputed p < .001

    “t(781) = 22.7, p < .001”

  • Consistentt(34) = 0.11reported p > .05 · recomputed p = .913

    “t(34)=.11, p > .05”

  • Consistentχ²(1) = 1.87reported p > .05 · recomputed p = .171

    “χ2(1)=1.87, p > .05”

  • Consistentt(34) = 0.25reported p > .05 · recomputed p = .804

    “t(34)=.25, p > .05”

  • Consistentt(304) = 0.69reported p > .05 · recomputed p = .491

    “t(304)=0.69, p > .05”

  • Consistentt(646) = 0.08reported p > .05 · recomputed p = .936

    “t(646)=0.08, p > .05”

7 of 7

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Cross-modal neural similarity is reported even for the low-similarity group

    Minor

    The discussion says significant cross-modal neural similarity occurred only when interpretations were shared, but the results report a significant cluster for the group whose recalls were least similar to the Audio group.

1 of 1

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Metadata

Authors
Nguyen, M., Vanderwal, T., & Hasson, U.
Affiliations
  • Princeton University (US)
  • Yale University (US)
Corresponding author
Nguyen, Mai
Venue
NeuroImage
Publisher
Elsevier BV
Published
2019-01
Volume
184
Pages
161-170
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2889716325
Cited by
304
References
67
Citations by year
2026: 39 · 2025: 35 · 2024: 40 · 2023: 43 · 2022: 36 · 2021: 39 · 2020: 57 · 2019: 12
FWCI
37.32
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • NIH (5DP1HD091948-02, 1RO1MH112566-01)
  • The Allison Family Foundation
Topics
  • Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Narrative Theory and Analysis
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
Keywords
narrative interpretation, default mode network, frontoparietal network, modality invariance, abstract animation, individual differences
MeSH terms
Acoustic Stimulation, Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Photic Stimulation, Comprehension, Pattern Recognition, Physiological, Young Adult

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