In one paragraphArticle in bioRxiv : the preprint server for biology, 2023. 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
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
18 authors at 2 institutions in 1 country.
Michael J MyersDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.
Jiaxin Cindy TuNeurosciences Graduate Program, Washington University in St. Louis, St. Louis, MO USA.ORCID 0000-0003-1982-9890 Rebecca SchwarzloseDepartment of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-8712-4449 Barbara B WarnerDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-9910-4461 Nandini RaghuramanDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-2747-5113 Damien A FairMasonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-8602-393X Steven E PetersenDepartment of Radiology, Washington University in St. Louis, St. Louis, MO USA.
Washington University in St. Louis · USUniversity of Minnesota · US
Funding
WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JEFFREY D MILBRANDT · 2020 to 2026
$15.5MNEUROIMAGING IN EARLY ONSET DEPRESSION: LONGITUDINAL ASSESSMENT OF BRAIN CHANGESR01MH090786 · NIMH · WASHINGTON UNIVERSITY · PI GILBERT, KIRSTEN, WHALEN, DIANA J · 2010 to 2025
$10.4MPrenatal Cannabis Use (PCU) and Development of Offspring Brain and Behavior During Early Life (0-18 Months)R01DA046224 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, RYAN H BOGDAN · 2019 to 2026
$6.2MDevelopmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8MNeonatal Brain Activity and Risk for Anxiety Disorders in Early ChildhoodR01MH122389 · NIMH · WASHINGTON UNIVERSITY · PI Chad Michael Sylvester · 2020 to 2026
$3.9MAttention-Related Neural Circuitry in Pediatric Anxiety and ADHDR01MH131584 · NIMH · WASHINGTON UNIVERSITY · PI Kirsten Gilbert, Chad Michael Sylvester · 2023 to 2026
$2.9MInterdisciplinary Training in Cognitive, Computational and Systems Neuroscience (CCSN)T32NS115672 · NINDS · WASHINGTON UNIVERSITY · PI TODD S BRAVER, Camillo Padoa-Schioppa · 2020 to 2026
$1.8MNeonatal predictors of contextualized emotion processing and risk for anxietyF32MH132185 · NIMH · WASHINGTON UNIVERSITY · PI CAMACHO, MARIA CATALINA · 2023 to 2024
$117kNICHD NIH HHS P50 HD103525NIDA NIH HHS R01 DA046224NIMH NIH HHS F32 MH132185NIMH NIH HHS R01 MH090786NIMH NIH HHS R01 MH122389NIMH NIH HHS R01 MH131584NIMH NIH HHS T32 MH100019NINDS NIH HHS T32 NS115672
6 · The paper itselfAbstract
The cerebral cortex is organized into distinct but interconnected cortical areas, which can be defined by abrupt differences in patterns of resting state functional connectivity (FC) across the cortical surface. Such parcellations of the cortex have been derived in adults and older infants, but there is no widely used surface parcellation available for the neonatal brain. Here, we first demonstrate that adult- and older infant-derived parcels are a poor fit with neonatal data, emphasizing the need for neonatal-specific parcels. We next derive a set of 283 cortical surface parcels from a sample of n=261 neonates. These parcels have highly homogenous FC patterns and are validated using three external neonatal datasets. The Infomap algorithm is used to assign functional network identities to each parcel, and derived networks are consistent with prior work in neonates. The proposed parcellation may represent neonatal cortical areas and provides a powerful tool for neonatal neuroimaging studies.
Indexed as
cortical areasfMRIfunctional connectivityneonateparcellation
Identifiers
PMID37986902
PMCPMC10659431
OpenAlexW4388593125
What OpenQuestion holds
Textmetadata
LicenceCC BY-ND
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