Evidence map›Paper›PMID 42755863›Full record

ArticleiScience2026

Neural correlates of information gain during search revealed by fMRI.

Sakrapee Paisalnan, Yashar Moshfeghi, Frank Pollick

Abstract read
In one paragraph

Article in iScience, 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

3 authors.

Sakrapee PaisalnanDepartment of Electrical Engineering, Silpakorn University, Nakhon Pathom 73000, Thailand.
Yashar MoshfeghiNeuraSearch Laboratory, University of Strathclyde, Glasgow G1 1XQ, UK.
Frank PollickSchool of Psychology & Neuroscience, University of Glasgow, Glasgow G12 8QQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When confronted with uncertainty, humans engage in information-seeking behavior to gather sufficient information. Identifying the brain regions involved offers insight into the underlying cognitive mechanisms. Using Shannon information theory, we quantified the information contained in the image tiles presented in an fMRI experiment. Nineteen participants judged whether a caption described an image by viewing a sequence of tiles and signaling when it matched. Random-effects ANOVA and representational similarity analysis revealed that regions associated with information gain resulted in two complementary patterns. The first, involving right Ph2 and left hIP5, showed a graded relationship with information gain, consistent with tracking currently available perceptual evidence. The second, involving bilateral PGp with left hIP3 and left FG2, was more sensitive to intermediate information gain, possibly reflecting integrative processes relating accumulated visual information to task-relevant semantic expectations. These findings offer a neurocognitive framework for how information is acquired and evaluated during a sequential search.

Indexed as

cognitionfMRIinformation gaininformation retrieval

Identifiers

PMID42755863
PMCPMC13581990

What OpenQuestion holds

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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.