Evidence map›Paper›PMID 36542658›Full record

ArticlePLoS biology2022

Differences in the functional brain architecture of sustained attention and working memory in youth and adults.

Omid Kardan, Andrew J Stier, Carlos Cardenas-Iniguez, Kathryn E Schertz, Julia C Pruin, Yuting Deng, Taylor Chamberlain, Wesley J Meredith, Xihan Zhang, Jillian E Bowman and 8 more

Open access · goldAbstract read
PubMed Publisher
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 40 citations in OpenAlex.

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  17. Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

18 authors at 4 institutions in 1 country.

Omid KardanUniversity of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-4187-5228
Andrew J StierUniversity of Chicago, Chicago, Illinois, United States of America.
Carlos Cardenas-IniguezUniversity of Chicago, Chicago, Illinois, United States of America.
Kathryn E SchertzUniversity of Chicago, Chicago, Illinois, United States of America.
Julia C PruinUniversity of Chicago, Chicago, Illinois, United States of America.
Yuting DengUniversity of Chicago, Chicago, Illinois, United States of America.
Taylor ChamberlainUniversity of Chicago, Chicago, Illinois, United States of America.
Wesley J MeredithUniversity of California, Los Angeles, California, United States of America.
Xihan ZhangUniversity of Chicago, Chicago, Illinois, United States of America.
Jillian E BowmanUniversity of Chicago, Chicago, Illinois, United States of America.
Tanvi LakhtakiaUniversity of Chicago, Chicago, Illinois, United States of America.
Lucy TindelUniversity of Chicago, Chicago, Illinois, United States of America.
Emily W AveryYale University, New Haven, Connecticut, United States of America.
Qi LinYale University, New Haven, Connecticut, United States of America.
Kwangsun YooYale University, New Haven, Connecticut, United States of America.
Marvin M ChunYale University, New Haven, Connecticut, United States of America.
Marc G BermanUniversity of Chicago, Chicago, Illinois, United States of America.
Monica D RosenbergUniversity of Chicago, Chicago, Illinois, United States of America.
University of Chicago · USYale University · USUniversity of California, Los Angeles · USUniversity of Michigan · US

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
ABCD-USA Consortium:Research ProjectU01DA041028 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN B. CLARK, BEATRIZ LUNA · 2015 to 2026
$13.9M
NIAAA NIH HHS T32 AA007477NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIDA NIH HHS UG3 DA045251NIMH NIH HHS R01 MH108591NIMH NIH HHS R25 MH120869
6 · The paper itself

Abstract

Sustained attention (SA) and working memory (WM) are critical processes, but the brain networks supporting these abilities in development are unknown. We characterized the functional brain architecture of SA and WM in 9- to 11-year-old children and adults. First, we found that adult network predictors of SA generalized to predict individual differences and fluctuations in SA in youth. A WM model predicted WM performance both across and within children-and captured individual differences in later recognition memory-but underperformed in youth relative to adults. We next characterized functional connections differentially related to SA and WM in youth compared to adults. Results revealed 2 network configurations: a dominant architecture predicting performance in both age groups and a secondary architecture, more prominent for WM than SA, predicting performance in each age group differently. Thus, functional connectivity (FC) predicts SA and WM in youth, with networks predicting WM performance differing more between youths and adults than those predicting SA.

Indexed as

Magnetic Resonance ImagingMemory, Short-TermAdolescentAdultAttentionBrainBrain MappingChildHumans

Identifiers

PMID36542658
OpenAlexW4312066191

What OpenQuestion holds

Textmetadata
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.