Evidence map›Paper›PMID 36693116›Full record

ArticleeLife2023

Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network.

Qinlin Yu, Minhui Ouyang, John Detre, Huiying Kang, Di Hu, Bo Hong, Fang Fang, Yun Peng, Hao Huang

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Qinlin YuDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.
Minhui OuyangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.ORCID 0000-0001-8013-2553
John DetreDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Huiying KangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.
Di HuDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.
Bo HongDepartment of Biomedical Engineering, Tsinghua University, Beijing, China.ORCID 0000-0003-2900-6791
Fang FangSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Yun PengDepartment of Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Hao HuangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.ORCID 0000-0002-9103-4382
Children's Hospital of Philadelphia · USCapital Medical University · CNKing University · USTsinghua University · CNUniversity of Pennsylvania · US

Funding

The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/PennP50HD105354 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI ERIC D MARSH, ROBERT Thomas SCHULTZ · 2021 to 2026
$9.2M
Structural Development of Human Fetal BrainR01MH092535 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI HUANG, HAO · 2011 to 2020
$4.6M
Infant Atlas of Brain PerfusionR01EB031284 · NIBIB · CHILDREN'S HOSP OF PHILADELPHIA · PI HUANG, HAO · 2021 to 2025
$2.4M
Association of gene expression and brain connectivity in human cerebral cortex development and adulthoodR01MH129981 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HUANG, HAO · 2022 to 2025
$1.8M
Next-generation human connectome atlas across the timespan of brain developmentR01MH125333 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HUANG, HAO · 2021 to 2022
$456k
Reliable prediction of high-risk infants of autism with cortical microstructural biomarkerR21MH123930 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI OUYANG, MINHUI · 2021 to 2022
$415k
NIBIB NIH HHS R01 EB031284NICHD NIH HHS P50 HD105354NIH HHS P50HD105354NIH HHS R01EB031284NIH HHS R01MH092535NIH HHS R01MH125333NIH HHS R01MH129981NIH HHS R21MH123930NIMH NIH HHS R01 MH092535NIMH NIH HHS R01 MH125333NIMH NIH HHS R01 MH129981NIMH NIH HHS R21 MH123930
6 · The paper itself

Abstract

Human infancy is characterized by most rapid regional cerebral blood flow (rCBF) increases across lifespan and emergence of a fundamental brain system default-mode network (DMN). However, how infant rCBF changes spatiotemporally across the brain and how the rCBF increase supports emergence of functional networks such as DMN remains unknown. Here, by acquiring cutting-edge multi-modal MRI including pseudo-continuous arterial-spin-labeled perfusion MRI and resting-state functional MRI of 48 infants cross-sectionally, we elucidated unprecedented 4D spatiotemporal infant rCBF framework and region-specific physiology-function coupling across infancy. We found that faster rCBF increases in the DMN than visual and sensorimotor networks. We also found strongly coupled increases of rCBF and network strength specifically in the DMN, suggesting faster local blood flow increase to meet extraneuronal metabolic demands in the DMN maturation. These results offer insights into the physiological mechanism of brain functional network emergence and have important implications in altered network maturation in brain disorders.

Indexed as

BrainDefault Mode NetworkBrain MappingCerebrovascular CirculationHumansInfantMagnetic Resonance Imagingdefault-mode networkdevelopmentfunctional connectivityhumaninfant brainmetabolismneuroscienceperfusion

Identifiers

PMID36693116
PMCPMC9873253
OpenAlexW4317852691

What OpenQuestion holds

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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.