Evidence map›Paper›PMID 34147630›Full record

ArticleNeuroImage2021

Intra-session test-retest reliability of functional connectivity in infants.

Yun Wang, Walter Hinds, Cristiane S Duarte, Seonjoo Lee, Catherine Monk, Melanie Wall, Glorisa Canino, Ana Carolina C Milani, Andrea Jackowski, Marina Griorgi Mamin and 12 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

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  4. Perinatal hardship and infant neurodevelopment: insights from a global pandemic.Journal of child psychology and psychiatry, and allied disciplines · 2026
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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

22 authors at 6 institutions in 3 countries.

Yun WangDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Walter HindsDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Cristiane S DuarteDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Seonjoo LeeDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA; Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA.
Catherine MonkDepartment of Obstetrics and Gynecology, New York State Psychiatric Institute, New York, NY, USA.
Melanie WallDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA; Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA.
Glorisa CaninoSchool of Medicine, Medical Science Campus, University of Puerto Rico, San Juan, PR, USA.
Ana Carolina C MilaniDepartment of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil.
Andrea JackowskiInterdisciplinary Lab for Clinical Neurosciences, Federal University of Sao Paulo, Sao Paulo, Brazil.
Marina Griorgi MaminDepartment of Pediatric, Federal University of Sao Paulo, Sao Paulo, Brazil.
Bernd U FoersterDepartment of Psychiatry, Federal University of Sao Paulo, Sao Paulo, Brazil.
Jay GingrichDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Myrna M WeissmanDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA; Department of Obstetrics and Gynecology, New York State Psychiatric Institute, New York, NY, USA.
Bradley S PetersonInstitute for the Developing Mind, The Saban Research Institute, Children's Hospital Los Angeles, CA, USA.
David SemanekDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA.
Edna Acosta PerezSchool of Medicine, Medical Science Campus, University of Puerto Rico, San Juan, PR, USA; Graduate School of Public Health, Medical Science Campus, University of Puerto Rico, San Juan, PR, USA.
Eduardo LabatSchool of Medicine, Medical Science Campus, University of Puerto Rico, San Juan, PR, USA.
Ioannisely Berrios TorresBehavioral Science Research Insitute, Academic Deanship, Medical Science Campus, University of Puerto Rico, San Juan, PR, USA.
Ivaldo Da SilvaDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Camila ParenteDepartment of Gynecology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Nitamar AbdalaDepartment of Diagnostic Radiology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Jonathan PosnerDepartment of Psychiatry, Columbia University Medical Center, New York, NY, USA. Electronic address: Jonathan.Posner@nyspi.columbia.edu.
Columbia University Irving Medical Center · USUniversidade Federal de São Paulo · BRUniversity of Puerto Rico, Medical Sciences Campus · PRNew York State Office of Mental Health · USChildren's Hospital of Los Angeles · USNew York State Psychiatric Institute

Funding

BREAKING THE CYCLE OF INTERGENERATIONAL DISADVANTAGE: NEURODEVELOPMENT AMONG PUERTO RICAN CHILDREN.UH3OD023328 · OD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI CANINO, GLORISA J, DUARTE, CRISTIANE S. · 2018 to 2022
$18.3M
Maternal adversity, inflammation, and neurodevelopment: How intergenerational processes perpetuate disadvantage in a low-resource settingR01MH121070 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Cristiane S. Duarte, Andrea Parolin Jackowski · 2020 to 2026
$2.8M
Leveraging artificial intelligence to develop novel tools for studying infant brain developmentR00HD103912 · NICHD · EMORY UNIVERSITY · PI YUN WANG · 2024 to 2026
$746k
Leveraging artificial intelligence to develop novel tools for studying infant brain developmentK99HD103912 · NICHD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI WANG, YUN · 2021 to 2022
$248k
NICHD NIH HHS K99 HD103912NICHD NIH HHS R00 HD103912NIH HHS UH3 OD023328NIMH NIH HHS R01 MH121070
6 · The paper itself

Abstract

Resting functional MRI studies of the infant brain are increasingly becoming an important tool in developmental neuroscience. Whereas the test-retest reliability of functional connectivity (FC) measures derived from resting fMRI data have been characterized in the adult and child brain, similar assessments have not been conducted in infants. In this study, we examined the intra-session test-retest reliability of FC measures from 119 infant brain MRI scans from four neurodevelopmental studies. We investigated edge-level and subject-level reliability within one MRI session (between and within runs) measured by the Intraclass correlation coefficient (ICC). First, using an atlas-based approach, we examined whole-brain connectivity as well as connectivity within two common resting fMRI networks - the default mode network (DMN) and the sensorimotor network (SMN). Second, we examined the influence of run duration, study site, and scanning manufacturer (e.g., Philips and General Electric) on ICCs. Lastly, we tested spatial similarity using the Jaccard Index from networks derived from independent component analysis (ICA). Consistent with resting fMRI studies from adults, our findings indicated poor edge-level reliability (ICC = 0.14-0.18), but moderate-to-good subject-level intra-session reliability for whole-brain, DMN, and SMN connectivity (ICC = 0.40-0.78). We also found significant effects of run duration, site, and scanning manufacturer on reliability estimates. Some ICA-derived networks showed strong spatial reproducibility (e.g., DMN, SMN, and Visual Network), and were labelled based on their spatial similarity to analogous networks measured in adults. These networks were reproducibly found across different study sites. However, other ICA-networks (e.g. Executive Control Network) did not show strong spatial reproducibility, suggesting that the reliability and/or maturational course of functional connectivity may vary by network. In sum, our findings suggest that developmental scientists may be on safe ground examining the functional organization of some major neural networks (e.g. DMN and SMN), but judicious interpretation of functional connectivity is essential to its ongoing success.

Indexed as

ConnectomeInfantCluster AnalysisDatasets as TopicDefault Mode NetworkFemaleHumansMagnetic Resonance ImagingMaleNerve NetReproducibility of ResultsRestEdge-levelfMRIICAICCInfantJaccard IndexNetworkSubject-levelTest-retest reliability

Identifiers

PMID34147630
PMCPMC8335644
OpenAlexW3173989138

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.