Evidence map›Paper›PMID 30500809›Full record

ArticlePLoS biology2018

Adolescent development of cortical oscillations: Power, phase, and support of cognitive maturation.

Scott Marek, Brenden Tervo-Clemmens, Natalie Klein, William Foran, Avniel Singh Ghuman, Beatriz Luna

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

25 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Exploring the role of post-error processing in social anxiety across age.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  10. Directed Neural Network Dynamics in Sensorimotor Integration: Divergent Roles of Frontal Theta Band Activity Depending on Age.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Temporal autocorrelation is predictive of age-An extensive MEG time-series analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Fatigue in children using motor imagery and P300 brain-computer interfaces.Journal of neuroengineering and rehabilitation · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Scott MarekDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID 0000-0003-0032-9052
Brenden Tervo-ClemmensCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Natalie KleinDepartment of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
William ForanDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Avniel Singh GhumanDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Beatriz LunaCenter for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
University of Pittsburgh · USCarnegie Mellon University · USWashington University in St. Louis · US

Funding

Refinement of Brain Mechanisms Underlying the Developmental Stabilization from Adolescent to Adult Neurocognitive ProcessingR01MH067924 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEATRIZ LUNA · 2004 to 2026
$14.0M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Inside the Social Perception Network: Dynamics, Connectivity, and StimulationR01MH107797 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHUMAN, AVNIEL S · 2015 to 2019
$2.4M
Training Program in the Neurobiology of Substance Use and AbuseT32DA031111 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FORBES, ERIKA E, GRACE, ANTHONY A · 2011 to 2015
$1.8M
Neural basis of local and circuit-level spontaneous and task-evoked hemodynamic brain activityR21MH103592 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHUMAN, AVNIEL S, HUPPERT, THEODORE JAMES · 2016 to 2017
$424k
NIDA NIH HHS T32 DA031111NIMH NIH HHS R01 MH067924NIMH NIH HHS R01 MH107797NIMH NIH HHS R21 MH103592NIMH NIH HHS T32 MH100019
6 · The paper itself

Abstract

During adolescence, the integration of specialized functional brain networks related to cognitive control continues to increase. Slow frequency oscillations (4-10 Hz) have been shown to support cognitive control processes, especially within prefrontal regions. However, it is unclear how neural oscillations contribute to functional brain network development and improvements in cognitive control during adolescence. To bridge this gap, we employed magnetoencephalography (MEG) to explore changes in oscillatory power and phase coupling across cortical networks in a sample of 68 adolescents and young adults. We found a redistribution of power from lower to higher frequencies throughout adolescence, such that delta band (1-3 Hz) power decreased, whereas beta band power (14-16 and 22-26 Hz) increased. Delta band power decreased with age most strongly in association networks within the frontal lobe and operculum. Conversely, beta band power increased throughout development, most strongly in processing networks and the posterior cingulate cortex, a hub of the default mode (DM) network. In terms of phase, theta band (5-9 Hz) phase-locking robustly decreased with development, following an anterior-to-posterior gradient, with the greatest decoupling occurring between association networks. Additionally, decreased slow frequency phase-locking between frontolimbic regions was related to decreased impulsivity with age. Thus, greater decoupling of slow frequency oscillations may afford functional networks greater flexibility during the resting state to instantiate control when required.

Indexed as

AdolescentAdolescent DevelopmentAdultBrainBrain MappingCerebral CortexCognitionFemaleHumansImpulsive BehaviorMagnetoencephalographyMaleNerve NetYoung Adult

Identifiers

PMID30500809
PMCPMC6291169
OpenAlexW2902082599

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.