Evidence map›Paper›PMID 40756770›Full record

ArticleBrain communications2025

The normalizing properties of intracranial volume across race and sex.

Peirong Liu, Dina Zemlyanker, Karthik Gopinath, You Cheng, Yingnan He, David Izquierdo-Garcia, Teresa Gomez-Isla, Sudeshna Das, Shahin Nasr, Kevin N Sheth and 5 more

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

15 authors.

Peirong LiuMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
Dina ZemlyankerMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
Karthik GopinathMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
You ChengDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Yingnan HeDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
David Izquierdo-GarciaMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
Teresa Gomez-IslaDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Sudeshna DasDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.ORCID https://orcid.org/0000-0002-9486-6811
Shahin NasrMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
Kevin N ShethCenter for Brain and Mind Health, Yale School of Medicine, New Haven, CT 06519, USA.
Matthew S RosenMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.
W Taylor KimberlyDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Adam de HavenonCenter for Brain and Mind Health, Yale School of Medicine, New Haven, CT 06519, USA.
Francis X ShenHarvard Medical School Center for Bioethics, Harvard Medical School, Boston, MA 02115, USA.
Juan Eugenio IglesiasMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.

Funding

Functionally guided adult whole brain cell atlas in human and NHPUM1MH130981 · NIMH · ALLEN INSTITUTE · PI Ed Lein, Hongkui Zeng · 2022 to 2026
$91.9M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Acquisition-independent machine learning for morphometric analysis of underrepresented aging populations with clinical and low-field brain MRIRF1AG080371 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Juan Eugenio Iglesias Gonzalez · 2023 to 2026
$4.0M
Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute StrokeR01EB031114 · NIBIB · YALE UNIVERSITY · PI William Taylor Kimberly, Matthew Scot Rosen · 2022 to 2026
$3.5M
Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanningR01AG070988 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI IGLESIAS GONZALEZ, JUAN EUGENIO · 2021 to 2025
$2.7M
Open-source software for multi-scale mapping of the human brainRF1MH123195 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, IGLESIAS GONZALEZ, JUAN EUGENIO · 2020 to 2020
$2.0M
Recruitment and Engagement for Advancing American Community Health (REACH)R01MH134144 · NIMH · UNIVERSITY OF MINNESOTA · PI Helen Hemley, Susie Yi Huang · 2023 to 2026
$1.8M
NIA NIH HHS P30 AG062421NIA NIH HHS R01 AG070988NIA NIH HHS RF1 AG080371NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB031114NIMH NIH HHS R01 MH134144NIMH NIH HHS RF1 MH123195NIMH NIH HHS UM1 MH130981
6 · The paper itself

Abstract

In volumetric analysis of the human brain with MRI, intracranial volume is an important covariate as it has a strong correlation with the volume of regions of interest in the brain. Therefore, accurate adjustment for intracranial volume (e.g. by division) is essential to mitigate the impact of head size on brain measurements. In this study, we assess the effects of intracranial volume normalization on differences across sex and racial groups, using a diverse cohort with 5977 subjects from three different (self-reported) races. We show that (i) differences in intracranial volume across sex are consistent across race and vice versa; and (ii) intracranial volume normalization almost completely accounts for differences by race and sex. These results suggest that subjects of different sexes and races can be safely aggregated in volumetric studies by normalizing the volume of regions of interest to intracranial volume.

Indexed as

human brain MRIintracranial volume normalizationvolumetry

Identifiers

PMID40756770
PMCPMC12315546

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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.