Evidence map›Paper›PMID 41868967›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

The latent organization of white matter microstructure and its relation to fluid intelligence.

Henrike M Jungeblut, Erhan Genç, Michael Burke, Patrick D Gajewski, Stephan Getzmann, Edmund Wascher, Anna-Lena Schubert

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). 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

7 authors.

Henrike M JungeblutDepartment of Psychology, Johannes Gutenberg University, Mainz, Germany.ORCID https://orcid.org/0000-0003-1557-988X
Erhan GençLeibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID https://orcid.org/0000-0001-6514-5479
Michael BurkeLeibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID https://orcid.org/0000-0002-8516-9889
Patrick D GajewskiLeibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID https://orcid.org/0000-0001-8240-1702
Stephan GetzmannLeibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID https://orcid.org/0000-0002-6382-0183
Edmund WascherLeibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID https://orcid.org/0000-0003-3616-9767
Anna-Lena SchubertDepartment of Psychology, Johannes Gutenberg University, Mainz, Germany.ORCID https://orcid.org/0000-0001-7248-0662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

White matter microstructure is a candidate neurobiological substrate underlying individual differences in fluid intelligence, potentially through differences in neural information transfer. Investigating the association between white matter microstructure and fluid intelligence requires precise modeling of these microstructural properties across the brain. Yet, it remains unclear whether MRI-derived markers of white matter microstructure generalize across tracts to support latent modeling approaches. Therefore, our primary objective was to derive measurement models for markers of white matter integrity (fractional anisotropy, FA), neurite density (intra-neurite volume fraction, INVF), and myelin content (magnetization transfer ratio, MTR) across 52 tracts (HCP-1065 atlas) grouped into 10 functional clusters. We investigated data of

Indexed as

fractional anisotropyintelligenceintra-neurite volume fractionmagnetization transfer ratiostructural equation modelingwhite matter microstructure

Identifiers

PMID41868967
PMCPMC13003808

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.