Evidence map›Paper›PMID 41190774›Full record

ArticleHuman brain mapping2025

Estimation of the Intracranial Volume Is Crucial in Multi-Site Studies: Reliability for Longitudinal Investigations and Traveling Subjects.

Shinsuke Koike, Norihide Maikusa, Lin Cai, Issei Ueda, Shuhei Shibukawa, Toshihiko Aso, Saori C Tanaka, Takuya Hayashi, Japanese Strategic Research Program for the Promotion of Brain Science (SRPBS) DecNef Study Project Group, Brain/MINDS Beyond Human Brain MRI (BMB‐HBM) Study Project Group

Abstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2025. 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

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

10 authors.

Shinsuke KoikeCenter for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-3375-236X
Norihide MaikusaCenter for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0943-4684
Lin CaiCenter for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-5948-6872
Issei UedaCenter for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.
Shuhei ShibukawaCenter for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.
Toshihiko AsoLaboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Hyogo, Japan.
Saori C TanakaDivision of Information Science, Nara Institute of Science and Technology, Nara, Japan.
Takuya HayashiFaculty of Health Science, Department of Radiological Technology, Juntendo University, Tokyo, Japan.
Japanese Strategic Research Program for the Promotion of Brain Science (SRPBS) DecNef Study Project Group
Brain/MINDS Beyond Human Brain MRI (BMB‐HBM) Study Project Group

Funding

International Research Center for Neurointelligence (WPI-IRCN)Japan Agency for Medical Research and Development JP23tm0524002Japan Agency for Medical Research and Development JP24wm0625302Japan Science and Technology Agency JPMJMS2021Japan Society for the Promotion of Science JP23H03877Japan Society for the Promotion of Science JP24K02378
6 · The paper itself

Abstract

Accurate estimation of the total intracranial volume (TIV) is essential in brain magnetic resonance imaging (MRI) studies, particularly for multi-site longitudinal investigations. This study assessed the validity and reliability of segmentation-based TIV (sbTIV) implemented in FreeSurfer version 7.2 for large-scale multi-site MRI data, by comparing it with the widely used estimated TIV (eTIV). We analyzed 6524 structural MRI scans from two multi-site projects in Japan, consisting of 30 procedures across 21 sites, 13 MRI machine types, 3 vendors, and 4 protocol categories. We tested the intraclass correlation coefficients (ICCs) between eTIV and sbTIV for each procedure and identified procedural factors affecting these ICCs using a general linear model. Machine- and protocol-specific biases were considered by a traveling subject harmonization approach. To specifically examine the reliability and validity of the longitudinal scans, we employed a general linear mixed model (GLMM). Overall agreement between eTIV and sbTIV was good (ICC = 0.78) but varied across procedures (0.62-0.94). The 1.0 mm isotropic protocol showed the highest reliability. Notably, there was poor consistency in participants with eTIV values of 120,000 mm

Indexed as

BrainImage Processing, Computer-AssistedMagnetic Resonance ImagingNeuroimagingAdolescentAdultAgedFemaleHumansJapanLongitudinal StudiesMaleMiddle AgedReproducibility of ResultsYoung Adult

Identifiers

PMID41190774
PMCPMC12587433

What Socratic holds

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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 Socratic graph.