Evidence map›Paper›PMID 31354917›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2019

CHARTING DEVELOPMENT-BASED JOINT PARCELLATION MAPS OF HUMAN AND MACAQUE BRAINS DURING INFANCY.

Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li

Open access · greenAbstract read
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2019. 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, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

9 authors at 3 institutions in 2 countries.

Jing XiaDepartment of Computer Science and Technology, Shandong University, Shandong, China.
Fan WangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
Zhengwang WuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
Li WangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
Yaping WangSchool of Information Engineering, Zhengzhou University, Henan, China.
Caiming ZhangDepartment of Computer Science and Technology, Shandong University, Shandong, China.
Weili LinDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
Dinggang ShenDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
Gang LiDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
University of North Carolina at Chapel Hill · USHenan University of Engineering · CNShandong University of Science and Technology · CN

Funding

Continued Development of Infant Brain Analysis ToolsR01MH117943 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG, WANG, LI · 2018 to 2022
$2.3M
Parcellating Infant Cerebral Cortex based on Developmental Patterns of Multimodal MRIR01MH116225 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2018 to 2022
$1.9M
Volume-based Analysis of 6-month Infant Brain MRI for Autism Biomarker Identification and Early DiagnosisK01MH109773 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WANG, LI · 2017 to 2020
$571k
4D Cortical Surface Analysis Tools for Study of Early Brain Development in Typical and High-risk InfantsK01MH107815 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2015 to 2018
$559k
Constructing 4-dimensional Infant Cortical Surface AtlasesR21MH108914 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, GANG · 2016 to 2017
$418k
NIMH NIH HHS K01 MH107815NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH116225NIMH NIH HHS R01 MH117943NIMH NIH HHS R21 MH108914
6 · The paper itself

Abstract

Comparative characterization of early brain development between human and macaque using neuroimaging data is crucial to understand the mechanisms of brain development and evolution. To this end, joint cortical parcellation maps of human and macaque infant brains with corresponding regions are highly desirable, since they provide basic cortical parcels for both region-based and network-based studies of two closely-related species. To address this issue, we propose to leverage developmental patterns of cortical properties of both human and macaque infants for creating joint parcellation maps with inter-species comparability. The motivation is that the developmental patterns of cortical properties indicate underlying rapid changes of microstructures, which determine the molecular and functional principles of the cortex. Thus, developmental patterns are well suitable for defining distinct cortical regions in both structures and functions. To comprehensively capture the similarities of developmental patterns of vertices on cortical surfaces, for each species, we first construct two complementary similarity matrices: a

Indexed as

joint parcellationMacaque infants

Identifiers

PMID31354917
PMCPMC6659717
OpenAlexW2956760473

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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.