Evidence map›Paper›PMID 41040237›Full record

ArticlebioRxiv : the preprint server for biology2025

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 readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

11 authors.

Fan ZhangSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-5032-6039
Jarrett RushmoreBrigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-2129-440X
Yijie LiSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0009-0002-4563-4173
Suheyla Cetin-KarayumakBrigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-3315-5821
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, Massachusetts, USA.
James J LevittVA Boston Healthcare System and Harvard Medical School, Brockton, MA, USA.
Nikos MakrisBrigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Yogesh RathiBrigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Lauren J O'DonnellBrigham & Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRIR01MH125860 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2021 to 2025
$4.1M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
Quantitative Glioblastoma Margin and Infiltration Mapping with Advanced Diffusion-Relaxation MRIR01NS125781 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEXANDRA J GOLBY, Carl-Fredrik Westin · 2022 to 2026
$3.6M
Mapping of the intrinsic and extrinsic cerebellar connectome at ultra high resolution with expert neuroanatomical curationR01MH132610 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2023 to 2025
$2.6M
NIMH NIH HHS R01 MH119222NIMH NIH HHS R01 MH125860NIMH NIH HHS R01 MH132610NINDS NIH HHS R01 NS125781
6 · The paper itself

Abstract

Sex-specific characteristics demonstrate a substantial influence on the human brain white matter, suggesting distinct brain structural connectivity patterns between females and males. Diffusion MRI (dMRI) tractography is an important tool in assessing white matter connectivity and brain tissue microstructure across different populations. Whole brain white matter analysis using dMRI tractography for group statistical comparison is a challenging task due to the large number of white matter connections. In this work, we study whole-brain white matter connectivity differences between females and males using dMRI tractography. We study a large cohort of 707 healthy adult 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 evaluated tracts in the cerebral cortex, as well as those connecting to regions such as the cerebellum, which have been relatively less studied using dMRI tractography. We identified several tracts that differed significantly between females and males in terms of their fractional anisotropy and/or mean diffusivity. These included several deep white matter tracts (e.g., arcuate fasciculus, corticospinal tract, and corpus callosum) that have been previously shown to have sex differences, as well as superficial white matter tracts in the frontal lobe. However, there were relatively few cortical association tracts that exhibited significant sex differences. We also identified cerebellar tracts with sex differences. Finally, correlation analysis revealed that these white matter differences were linked to a range of neurobehavioral measures, with the strongest and most consistent associations observed for motor function. Overall, these findings provide characterizations of sex differences in the white matter and indicate that the circuits underlying motor function may be an important focus of future work on sex differences in the human brain.

Indexed as

Diffusion MRISex differencesTractographyWhite matterWhole-brain analysis

Identifiers

PMID41040237
PMCPMC12485736

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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.