Evidence map›Paper›PMID 41387573›Full record

ArticleNature communications2025

Neural decoding of autobiographical mental image features with a general semantic model.

Andrew J Anderson, Leonardo Fernandino, William L Gross, Hernan G Rey, Jeffrey R Binder

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Andrew J AndersonDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA. andanderson@mcw.edu.ORCID http://orcid.org/0000-0003-0316-9787
Leonardo FernandinoDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0003-4571-0500
William L GrossDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Hernan G ReyDepartment of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI, USA.
Jeffrey R BinderDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Funding

ODNI | Intelligence Advanced Research Projects Activity (IARPA) FA8650-14-C-7357
6 · The paper itself

Abstract

To what extent does language comprehension engage the same brain areas that enable one to imagine autobiographical experiences? Traditionally, these two abilities have been thought to recruit largely separate neurocognitive systems, namely the semantic system - involving lateral aspects of the temporal, parietal, and frontal lobes - and the autobiographic/episodic system, primarily involving midline cortical areas and the hippocampus. Here, we provide evidence of shared representations elicited in sentence comprehension and self-generated autobiographical mental imagery that are most prominent in midline regions and present in both sets of cortical areas. Fifty participants who imagined their unique experiences of twenty common scenarios while undergoing functional Magnetic Resonance Imaging (fMRI) are analyzed. Self-reported, participant-specific experiential feature ratings of the mental images are reconstructed from fMRI activation in both midline and lateral surface cortical areas using a pre-trained semantic decoder. Critically, the semantic decoder was derived from fMRI activation recorded during sentence reading in a separate participant group. This finding demonstrates zero-shot decoding of participant-specific autobiographical feature ratings from fMRI data, across people and cognitive tasks. Moreover, it strongly suggests that the neural encoding of sentence meaning shares cortical areas and at least some representational codes with self-generated autobiographical mental images.

Indexed as

BrainImaginationMemory, EpisodicSemanticsAdultBrain MappingComprehensionFemaleHumansLanguageMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID41387573
PMCPMC12714718

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.