Evidence map›Paper›PMID 37961103›Full record

ArticlebioRxiv : the preprint server for biology2023

Multilayer network associations between the exposome and childhood brain development.

Ivan L Simpson-Kent, Mārtiņš M Gataviņš, Ursula A Tooley, Austin L Boroshok, Cassidy L McDermott, Anne T Park, Lourdes Delgado Reyes, Joe Bathelt, M Dylan Tisdall, Allyson P Mackey

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

10 authors at 5 institutions in 3 countries.

Ivan L Simpson-KentInstitute of Psychology, Developmental and Educational Psychology Unit, Leiden University, Leiden, the Netherlands.ORCID 0000-0002-9538-702X
Mārtiņš M GataviņšDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1206-906X
Ursula A TooleyDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-6377-3885
Austin L BoroshokDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8971-9315
Cassidy L McDermottDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-8281-9551
Anne T ParkDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
Lourdes Delgado ReyesDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.
Joe BatheltDepartment of Psychology, Royal Holloway, University of London, Egham, Surrey, United Kingdom.ORCID 0000-0001-5195-956X
M Dylan TisdallDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-0454-3112
Allyson P MackeyDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2969-0028
University of Pennsylvania · USChildren's Hospital of Philadelphia · USLeiden University · NLRoyal Holloway University of London · GBWashington University in St. Louis · US

Funding

A feasibility study of novel technologies to minimize motion-induced biases in functional and structural MRI of young, opioid-affected cohortsR34DA050297 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI MACKEY, ALLYSON PATRICIA, TISDALL, MATTHEW DYLAN · 2019 to 2019
$547k
NIDA NIH HHS R34 DA050297
6 · The paper itself

Abstract

Growing up in a high poverty neighborhood is associated with elevated risk for academic challenges and health problems. Here, we take a data-driven approach to exploring how measures of children's environments relate to the development of their brain structure and function in a community sample of children between the ages of 4 and 10 years. We constructed exposomes including measures of family socioeconomic status, children's exposure to adversity, and geocoded measures of neighborhood socioeconomic status, crime, and environmental toxins. We connected the exposome to two structural measures (cortical thickness and surface area,

Identifiers

PMID37961103
PMCPMC10634748
OpenAlexW4388270940

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.