Evidence map›Paper›PMID 40738997›Full record

ArticleCommunications biology2025

Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence.

Adva Shoham, Rotem Broday-Dvir, Itay Yaron, Galit Yovel, Rafael Malach

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. How AI can advance psychological science.British journal of psychology (London, England : 1953) · 2026
    Article
  2. 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.

Adva ShohamSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel. advashoham@mail.tau.ac.il.ORCID http://orcid.org/0000-0002-7923-2474
Rotem Broday-DvirDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0003-2006-5146
Itay YaronSagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0000-0001-6299-765X
Galit YovelSchool of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID http://orcid.org/0000-0003-0971-2357
Rafael MalachDepartment of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel. rafi.malach@gmail.com.ORCID http://orcid.org/0000-0002-2869-680X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human prefrontal areas show enhanced activations when individuals are presented with images, under diverse task conditions. However, the functional role of these increased activations remains a deeply debated question. Here we addressed this question by comparing, dynamically, the relational structure of prefrontal activations and both visual and textual-trained deep neural networks (DNNs) during a visual memorization task. We analyzed intra-cranial recordings, conducted for clinical purposes, while patients viewed and memorized images of familiar faces and places. Our results reveal that relational structures in the frontal cortex elicited during visual memorization were predicted by text and not visual DNNs. Importantly, the temporal dynamics of these correlations showed striking differences, with a rapid decline over time for the visual component, but persistent dynamics including a significant image offset response for the text component. The results point to a dynamic text-related function of prefrontal cortex during visual memorization in the human brain.

Indexed as

Neural Networks, ComputerPrefrontal CortexVisual PerceptionAdultFemaleHumansMalePhotic StimulationYoung Adult

Identifiers

PMID40738997
PMCPMC12310966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.