Evidence map›Paper›PMID 40470253›Full record

ArticleResearch square2025

The White Matter of Aha! Moments.

Carola Salvi, Simone A Luchini, Franco Pestilli, Sandra Hanekamp, Thomas Hope, Todd Parrish, Mark Beeman, Jordan Grafman

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

8 authors.

Carola Salvi
Simone A Luchini
Franco Pestilli
Sandra Hanekamp
Thomas Hope
Todd Parrish
Mark Beeman
Jordan Grafman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insights, or "Aha!" moments, are a crucial aspect of idea generation in creative cognition. While functional neuroimaging studies have identified brain regions involved in these insights, the white matter substrate of insights remains unexplored. This study employed Diffusion Tensor Imaging (DTI) to investigate how white matter microstructure-measured by Fractional Anisotropy (FA) and Mean Diffusivity (MD)-relates to individuals' tendency to solve Compound Remote Associates problems through insight

Identifiers

PMID40470253
PMCPMC12136741

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.