Evidence map›Paper›PMID 30908490›Full record

ArticlePLoS biology2019

Performing group-level functional image analyses based on homologous functional regions mapped in individuals.

Meiling Li, Danhong Wang, Jianxun Ren, Georg Langs, Sophia Stoecklein, Brian P Brennan, Jie Lu, Huafu Chen, Hesheng Liu

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

72 citing papers in PubMed, 125 citations in OpenAlex.

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  14. Action-mode subnetworks for decision-making, action control, and feedback.Proceedings of the National Academy of Sciences of the United States of America · 2025
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12 more citing papers are in PubMed but not listed here.

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

9 authors at 7 institutions in 4 countries.

Meiling LiKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Danhong WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, United States of America.
Jianxun RenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, United States of America.
Georg LangsDepartment of Biomedical Imaging and Image-guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria.
Sophia StoeckleinInstitute of Clinical Radiology, Ludwig-Maximilians University of Munich, Munich Germany.
Brian P BrennanMcLean Hospital, Harvard Medical School, Belmont, Massachusetts, United States of America.
Jie LuDepartment of Radiology, Xuanwu Hospital, Beijing, China.
Huafu ChenKey Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Hesheng LiuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, United States of America.
Harvard University · USUniversity of Electronic Science and Technology of China · CNBeijing Xuanwu Traditional Chinese Medicine Hospital · CNLudwig-Maximilians-Universität München · DEMassachusetts General Hospital · USMedical University of Vienna · ATTsinghua University · CN

Funding

The neural network of OCD, linking NHP and human studiesP50MH106435 · NIMH · UNIVERSITY OF ROCHESTER · PI Mary Louise Phillips · 2015 to 2026
$28.9M
Translating The Individualized Functional Connectome To Surgical PlanningR01NS091604 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LIU, HESHENG · 2015 to 2019
$2.1M
Understanding Functional Connectivity Abnormalities In Individual Patients with PsychosisK01MH111802 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WANG, DANHONG · 2017 to 2021
$931k
NIMH NIH HHS K01 MH111802NIMH NIH HHS P50 MH106435NINDS NIH HHS R01 NS091604
6 · The paper itself

Abstract

Functional MRI (fMRI) studies have traditionally relied on intersubject normalization based on global brain morphology, which cannot establish proper functional correspondence between subjects due to substantial intersubject variability in functional organization. Here, we reliably identified a set of discrete, homologous functional regions in individuals to improve intersubject alignment of fMRI data. These functional regions demonstrated marked intersubject variability in size, position, and connectivity. We found that previously reported intersubject variability in functional connectivity maps could be partially explained by variability in size and position of the functional regions. Importantly, individual differences in network topography are associated with individual differences in task-evoked activations, suggesting that these individually specified regions may serve as the "localizer" to improve the alignment of task-fMRI data. We demonstrated that aligning task-fMRI data using the regions derived from resting state fMRI may lead to increased statistical power of task-fMRI analyses. In addition, resting state functional connectivity among these homologous regions is able to capture the idiosyncrasies of subjects and better predict fluid intelligence (gF) than connectivity measures derived from group-level brain atlases. Critically, we showed that not only the connectivity but also the size and position of functional regions are related to human behavior. Collectively, these findings suggest that identifying homologous functional regions across individuals can benefit a wide range of studies in the investigation of connectivity, task activation, and brain-behavior associations.

Indexed as

AdultAlgorithmsBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeural PathwaysYoung Adult

Identifiers

PMID30908490
PMCPMC6448916
OpenAlexW2922976564

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.