Evidence map›Paper›PMID 33503482›Full record

ArticleNeuroImage2021

Longitudinal network re-organization across learning and development.

Ethan M McCormick, Sabine Peters, Eveline A Crone, Eva H Telzer

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. Sex differences in development of functional connections in the face processing network.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

4 authors.

Ethan M McCormickDepartment of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC 27599, United States. Electronic address: emccormick@unc.edu.
Sabine PetersDepartment of Developmental and Educational Psychology, Leiden University, 2333AK Leiden, the Netherlands; Leiden Institute for Brain and Cognition, 2333ZA Leiden, the Netherlands.
Eveline A CroneDepartment of Developmental and Educational Psychology, Leiden University, 2333AK Leiden, the Netherlands; Leiden Institute for Brain and Cognition, 2333ZA Leiden, the Netherlands; School of Social and Behavioural Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Eva H TelzerDepartment of Psychology and Neuroscience, University of North Carolina, 235 E. Cameron Avenue, Chapel Hill, NC 27599, United States.

Funding

Incorporating the Social Context into Neurocognitive Models of Adolescent Risk TakingR01DA039923 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TELZER, EVA HAIMO · 2015 to 2019
$2.7M
Network Connectivity Modeling of Heterogeneous Brain Data to Examine Ensembles of Activity Across Two Levels of DimensionalityR01EB022904 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GATES, KATHLEEN · 2016 to 2018
$1.1M
NIBIB NIH HHS R01 EB022904NIDA NIH HHS R01 DA039923
6 · The paper itself

Abstract

While it is well understood that the brain experiences changes across short-term experience/learning and long-term development, it is unclear how these two mechanisms interact to produce developmental outcomes. Here we test an interactive model of learning and development where certain learning-related changes are constrained by developmental changes in the brain against an alternative development-as-practice model where outcomes are determined primarily by the accumulation of experience regardless of age. Participants (8-29 years) participated in a three-wave, accelerated longitudinal study during which they completed a feedback learning task during an fMRI scan. Adopting a novel longitudinal modeling approach, we probed the unique and moderated effects of learning, experience, and development simultaneously on behavioral performance and network modularity during the task. We found nonlinear patterns of development for both behavior and brain, and that greater experience supported increased learning and network modularity relative to naïve subjects. We also found changing brain-behavior relationships across adolescent development, where heightened network modularity predicted improved learning, but only following the transition from adolescence to young adulthood. These results present compelling support for an interactive view of experience and development, where changes in the brain impact behavior in context-specific fashion based on developmental goals.

Indexed as

AdolescentAdolescent DevelopmentAdultBrainChildFemaleHumansLearningLongitudinal StudiesMagnetic Resonance ImagingMaleNerve NetPhotic StimulationPsychomotor PerformanceYoung Adult

Identifiers

PMID33503482
PMCPMC7994295

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.