Evidence map›Paper›PMID 42212671›Full record

ArticleHuman brain mapping2026

Normative T

Junjie Wang, Gian Franco Piredda, Tom Hilbert, Hongjian He, Jean-Philippe Thiran, Tianyi Qian, Yi Sun, Peipeng Liang, Tobias Kober, Kuncheng Li

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2026. 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

10 authors.

Junjie WangSchool of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China.ORCID https://orcid.org/0009-0003-0013-878X
Gian Franco PireddaAdvanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8449-6634
Tom HilbertAdvanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.
Hongjian HeSchool of Physics, Zhejiang University, Zhejiang, Hangzhou, China.ORCID https://orcid.org/0000-0001-6272-0810
Jean-Philippe ThiranDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-2938-9657
Tianyi QianMR Collaboration NE Asia, Siemens Healthcare, Beijing, China.
Yi SunMR Collaboration NE Asia, Siemens Healthcare, Shanghai, China.
Peipeng LiangSchool of Psychology, Capital Normal University, Beijing Key Laboratory of Learning and Cognition, Beijing, China.
Tobias KoberAdvanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-7598-9456
Kuncheng LiBeijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China.

Funding

Beijing Municipal Science and Technology Project of Brain Cognition and Brain Medicine Z171100000117001Beijing Nova Program 2016000021223TD07Excellent Young Scientists Program for Beijing Higher Education Institutions JWZQ20240201004National Key Research and Development Project of China 2020YFC2007302
6 · The paper itself

Abstract

Quantitative MR relaxometry provides sensitive and reproducible measures of brain microstructure and is increasingly used in studies of ageing and neurodegenerative disease. However, normative brain atlases covering the adult lifespan remain scarce, especially from large, harmonized, multicenter datasets. This study aimed to establish lifespan-based normative T

Indexed as

AgingBrainGray MatterMagnetic Resonance ImagingNeuroimagingWhite MatterAdultAgedAtlases as TopicBenchmarkingChinaEast Asian PeopleFemaleHumansMaleMiddle Agedmicrostructural imagingneurodegenerative diseasesquantitative MRIrelaxometry

Identifiers

PMID42212671
PMCPMC13240016

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.