Evidence map›Paper›PMID 36479851›Full record

ArticleHuman brain mapping2023

Coordinated anatomical and functional variability in the human brain during adolescence.

John Bero, Yang Li, Aviral Kumar, Colin Humphries, Snehesh Nag, Heungyeol Lee, Woo Young Ahn, Sowon Hahn, Robert Todd Constable, Hackjin Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. 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

11 authors at 4 institutions in 2 countries.

John BeroNeurogazer, Inc., Baltimore, Maryland, USA.
Yang LiNeurogazer, Inc., Baltimore, Maryland, USA.
Aviral KumarNeurogazer, Inc., Baltimore, Maryland, USA.
Colin HumphriesNeurogazer, Inc., Baltimore, Maryland, USA.
Snehesh NagNeurogazer, Inc., Baltimore, Maryland, USA.
Heungyeol LeeNeurogazer, Inc., Baltimore, Maryland, USA.
Woo Young AhnDepartment of Psychology, Seoul National University, Seoul, Korea.
Sowon HahnDepartment of Psychology, Seoul National University, Seoul, Korea.
Robert Todd ConstableDepartment of Diagnostic Radiology and Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.
Hackjin KimDepartment of Psychology, Korea University, Seoul, Korea.
Daeyeol LeeNeurogazer, Inc., Baltimore, Maryland, USA.ORCID 0000-0003-3474-019X
Moog (United States) · USSeoul National University · KRKorea University · KRYale University · US

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
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Adolescence represents a time of unparalleled brain development. In particular, developmental changes in morphometric and cytoarchitectural features are accompanied by maturation in the functional connectivity (FC). Here, we examined how three facets of the brain, including myelination, cortical thickness (CT), and resting-state FC, interact in children between the ages of 10 and 15. We investigated the pattern of coordination in these measures by computing correlation matrices for each measure as well as meta-correlations among them both at the regional and network levels. The results revealed consistently higher meta-correlations among myelin, CT, and FC in the sensory-motor cortical areas than in the association cortical areas. We also found that these meta-correlations were stable and little affected by age-related changes in each measure. In addition, regional variations in the meta-correlations were consistent with the previously identified gradient in the FC and therefore reflected the hierarchy of cortical information processing, and this relationship persists in the adult brain. These results demonstrate that heterogeneity in FC among multiple cortical areas are closely coordinated with the development of cortical myelination and thickness during adolescence.

Indexed as

Magnetic Resonance ImagingSensorimotor CortexAdolescentAdultBrainBrain MappingChildCognitionHumansMyelin SheathcovariancefunctionalMRIresting-state networksstructural

Identifiers

PMID36479851
PMCPMC9921246
OpenAlexW4310951378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.