Evidence map›Paper›PMID 29578031›Full record

ReviewNeuroImage2019

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.

Brittany R Howell, Martin A Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew Salzwedel and 9 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 281 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
281citing papers in PubMed, 4 pooled it
–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

281 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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221 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

19 authors.

Brittany R HowellInstitute of Child Development, University of Minnesota, USA.
Martin A StynerDepartment of Psychiatry, University of North Carolina at Chapel Hill, USA.
Wei GaoBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, USA; Department of Medicine, University of California, Los Angeles, USA.
Pew-Thian YapBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Li WangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Kristine BaluyotBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota, USA.
Geng ChenBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Taylor PottsBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Andrew SalzwedelBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, USA.
Gang LiBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
John H GilmoreDepartment of Psychiatry, University of North Carolina at Chapel Hill, USA.
Joseph PivenCarolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, USA.
J Keith SmithDepartment of Radiology, University of North Carolina at Chapel Hill, USA.
Dinggang ShenBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA.
Kamil UgurbilCenter for Magnetic Resonance Research, University of Minnesota, USA.
Hongtu ZhuThe University of Texas M.D. Anderson Cancer Center, USA.
Weili LinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, USA. Electronic address: weili_lin@med.unc.edu.
Jed T ElisonInstitute of Child Development, University of Minnesota, USA; Department of Pediatrics, University of Minnesota, USA. Electronic address: jtelison@umn.edu.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Infant Brain and Behavioral Signatures of Later Emerging Risk for PsychopathologyR01MH104324 · NIMH · UNIVERSITY OF MINNESOTA · PI ELISON, JED THOMAS · 2014 to 2018
$2.6M
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
NIEHS NIH HHS P30 ES010126NIMH NIH HHS K01 MH107815NIMH NIH HHS K01 MH109773NIMH NIH HHS R01 MH086633NIMH NIH HHS R01 MH104324NIMH NIH HHS U01 MH110274
6 · The paper itself

Abstract

The human brain undergoes extensive and dynamic growth during the first years of life. The UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects funded by NIH, is an ongoing study jointly conducted by investigators at the University of North Carolina at Chapel Hill and the University of Minnesota. The primary objective of the BCP is to characterize brain and behavioral development in typically developing infants across the first 5 years of life. The ultimate goals are to chart emerging patterns of structural and functional connectivity during this period, map brain-behavior associations, and establish a foundation from which to further explore trajectories of health and disease. To accomplish these goals, we are combining state of the art MRI acquisition and analysis techniques, including high-resolution structural MRI (T1-and T2-weighted images), diffusion imaging (dMRI), and resting state functional connectivity MRI (rfMRI). While the overall design of the BCP largely is built on the protocol developed by the Lifespan Human Connectome Project (HCP), given the unique age range of the BCP cohort, additional optimization of imaging parameters and consideration of an age appropriate battery of behavioral assessments were needed. Here we provide the overall study protocol, including approaches for subject recruitment, strategies for imaging typically developing children 0-5 years of age without sedation, imaging protocol and optimization, a description of the battery of behavioral assessments, and QA/QC procedures. Combining HCP inspired neuroimaging data with well-established behavioral assessments during this time period will yield an invaluable resource for the scientific community.

Indexed as

BrainChild, PreschoolConnectomeFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleResearch DesignBaby connectome projectBehaviordMRIDTIInfancyLifespan connectome projectMRINeurodevelopmentrfMRI

Identifiers

PMID29578031
PMCPMC6151176

What OpenQuestion holds

Textmetadata
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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.