Evidence map›Paper›PMID 41785558›Full record

ArticleNeuroImage. Clinical2026

Study of sex differences in the whole brain white matter using diffusion MRI tractography and suprathreshold fiber cluster statistics.

Fan Zhang, Jarrett Rushmore, Yijie Li, Suheyla Cetin-Karayumak, Yang Song, Weidong Cai, Carl-Fredrik Westin, James J Levitt, Nikos Makris, Yogesh Rathi and 1 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Fan ZhangSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: fan.zhang@uestc.edu.cn.
Jarrett RushmoreBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
Yijie LiSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Suheyla Cetin-KarayumakBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
Yang SongSchool of Computer Science and Engineering, The University of New South Wales, NSW, Australia.
Weidong CaiSchool of Computer Science, The University of Sydney, NSW, Australia.
Carl-Fredrik WestinBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
James J LevittVA Boston Healthcare System and Harvard Medical School, Brockton, MA, USA.
Nikos MakrisBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA; Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Yogesh RathiBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lauren J O'DonnellBrigham & Women's Hospital and Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex-specific characteristics demonstrate a substantial influence on the brain white matter, suggesting distinct structural connectivity patterns between females and males. Diffusion MRI tractography is an important tool in assessing white matter connectivity and brain tissue microstructure across different populations. Whole brain tractography analysis for group statistical comparison is a challenging task due to the large number of white matter connections. This work studies whole-brain white matter connectivity differences between females and males using dMRI tractography. We study a large cohort of 707 subjects from the Human Connectome Project Young Adult dataset. By applying a well-established fiber clustering pipeline and a suprathreshold fiber cluster statistical method, we analyze tracts in the cerebral cortex and understudied pathways like those connecting to the cerebellum. We identify several tracts with significant sex differences in terms of their fractional anisotropy and/or mean diffusivity. These include deep tracts like the arcuate fasciculus, corticospinal tract, and corpus callosum, superficial tracts in the frontal lobe, and cerebellar tracts. Finally, a canonical correlation analysis (CCA) that identifies covariance patterns between white matter and behavior measures reveals that these white matter differences are associated with a range of neurobehavioral measures, with the strongest and most consistent associations observed for motor function, suggesting motor circuits as a potential key focus for future research.

Indexed as

BrainDiffusion Tensor ImagingSex CharacteristicsWhite MatterAdultConnectomeFemaleHumansImage Processing, Computer-AssistedMaleNeural PathwaysYoung AdultDiffusion MRISex differencesTractographyWhite matterWhole-brain analysis

Identifiers

PMID41785558
PMCPMC12969042

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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.