Evidence map›Paper›PMID 39735971›Full record

ArticleJournal of integrative neuroscience2024

Neuroimaging Correlates of the NIH-Toolbox-Driven Cognitive Metrics in Children.

Hector Acosta-Rodriguez, Cuiping Yuan, Pratheek Bobba, Alicia Stephan, Tal Zeevi, Ajay Malhotra, Anh Tuan Tran, Simone Kaltenhauser, Seyedmehdi Payabvash

Abstract read
In one paragraph

Article in Journal of integrative neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors.

Hector Acosta-RodriguezDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Cuiping YuanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Pratheek BobbaDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Alicia StephanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Tal ZeeviDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Anh Tuan TranDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.
Simone KaltenhauserInstitute of Diagnostic and Interventional Radiology, University Hospital Zurich, 8091 Zurich, Switzerland.
Seyedmehdi PayabvashDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06519, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
Doris Duke Charitable Foundation 2020097National Institutes of Health and additional federal partners U01DA041022National Institutes of Health and additional federal partners U01DA041025National Institutes of Health and additional federal partners U01DA041028National Institutes of Health and additional federal partners U01DA041048National Institutes of Health and additional federal partners U01DA041089National Institutes of Health and additional federal partners U01DA041093National Institutes of Health and additional federal partners U01DA041106National Institutes of Health and additional federal partners U01DA041117National Institutes of Health and additional federal partners U01DA041120National Institutes of Health and additional federal partners U01DA041134National Institutes of Health and additional federal partners U01DA041148National Institutes of Health and additional federal partners U01DA041156National Institutes of Health and additional federal partners U01DA041174National Institutes of Health and additional federal partners U01DA050987National Institutes of Health and additional federal partners U01DA050988National Institutes of Health and additional federal partners U01DA050989National Institutes of Health and additional federal partners U01DA051016National Institutes of Health and additional federal partners U01DA051018National Institutes of Health and additional federal partners U01DA051037National Institutes of Health and additional federal partners U01DA051038National Institutes of Health and additional federal partners U01DA051039National Institutes of Health and additional federal partners U24DA041123National Institutes of Health and additional federal partners U24DA041147NCATS NIH HHS UL1 TR001863NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA 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 U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIDDK NIH HHS T35 DK104689NIH HHS K23NS118056NINDS NIH HHS K23 NS118056NVIDIA Applied Research Accelerator ProgramYale School of Medicine Fellowship for Medical Student Research
6 · The paper itself

Abstract

backgroundThe National Institutes of Health (NIH) Toolbox Cognition Battery is increasingly being used as a standardized test to examine cognitive functioning in multicentric studies. This study examines the associations between the NIH Toolbox Cognition Battery composite scores with neuroimaging metrics using data from the Adolescent Brain Cognitive Development (ABCD) study to elucidate the neurobiological and neuroanatomical correlates of these cognitive scores.

methodsNeuroimaging data from 5290 children (mean age 9.9 years) were analyzed, assessing the correlation of the composite scores with Diffusion Tensor Imaging (DTI), structural Magnetic Resonance Imaging (sMRI), and resting-state functional connectivity (rs-fMRI). Results were adjusted for age, sex, race/ethnicity, head size, body mass index (BMI), and parental income and education.

resultsHigher fluid cognition composite scores were linked to greater white matter (WM) microstructural integrity, lower cortical thickness, greater cortical surface area, and mixed associations with rs-fMRI. Conversely, crystallized cognition composite scores showed more complex associations, suggesting that higher scores correlated with lower WM microstructure integrity. Total cognition scores reflected patterns consistent with a combination of both fluid and crystallized cognition, but with diluted specific insights. Our findings highlight the complexity of the neuroimaging correlates of the NIH Toolbox composite scores.

conclusionsThe results suggest that fluid cognition composite scores may serve as a marker for cognitive functioning, emphasizing neuroimaging's clinical relevance in assessing cognitive performance in children. These insights can guide early interventions and personalized education strategies. Future ABCD follow-ups will further illuminate these associations into adolescence and adulthood.

Indexed as

CognitionDiffusion Tensor ImagingMagnetic Resonance ImagingNational Institutes of Health (U.S.)AdolescentBrainChildFemaleHumansMaleNeuroimagingNeuropsychological TestsUnited StatesWhite Mattercrystalized cognitiondiffusion tensor imagingfluid intelligencefunctional MRINIH toolbox

Identifiers

PMID39735971
PMCPMC11851640

What Socratic 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 Socratic graph.