Evidence map›Paper›PMID 42185520›Full record

ArticleCommunications biology2026

Predicting visual mental imagery: structural and transcriptomic signatures in the human brain.

Ruxin Xu, Dai Zhang, Ke Zhou, Liqin Zhou

Abstract read
In one paragraph

Article in Communications biology, 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.

Ruxin Xu *Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China.ORCID 0009-0008-0434-240X
Dai Zhang *Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, No.678 Furong Road, Hefei, Anhui, China.ORCID 0000-0001-5928-2274
Ke ZhouBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China.ORCID 0000-0003-4773-758X
Liqin ZhouBeijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (Beijing Normal University), Faculty of Psychology, Beijing Normal University, Beijing, China. zhouliqin@bnu.edu.cn.ORCID 0000-0001-7661-5683

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32200840
6 · The paper itself

Abstract

Visual mental imagery (VMI) vividness varies substantially across individuals, yet the structural and molecular bases of this variability remain elusive. A central debate concerns whether VMI ability depends primarily on early visual cortex (V1) or arises from distributed higher-order cortical systems. Here, in a cohort of 229 adults, we apply parcel-wise cortical morphometric modeling with 20-fold cross-validation with random splits to predict individual differences in VMI ability. We show that the morphometric signature spans ventral temporal, parietal, and prefrontal cortices, with no dominant contribution from early visual regions. This distributed profile is selectively associated with individual performance in tasks requiring high versus low imagery demand. Transcriptomic alignment using the Allen Human Brain Atlas reveals gene expression enrichment in neuronal system development, synaptic signaling, and inorganic ion transmembrane transport. Together, these findings support a distributed cortical architecture underlying VMI vividness and provide a molecular context for its neurobiological processes.

Indexed as

BrainImaginationTranscriptomeVisual CortexVisual PerceptionAdultBrain MappingFemaleGene Expression ProfilingHumansMaleYoung Adult

Identifiers

PMID42185520
PMCPMC13482815

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.