Evidence map›Paper›PMID 28552358›Full record

ArticleCurrent biology : CB2017

Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.

Graham L Baum, Rastko Ciric, David R Roalf, Richard F Betzel, Tyler M Moore, Russell T Shinohara, Ari E Kahn, Simon N Vandekar, Petra E Rupert, Megan Quarmley and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
218citing papers in PubMed, 1 pooled it
29.5field-weighted citation impact, top 1% 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

218 citing papers in PubMed, 1 synthesis or guideline pooled it, 417 citations in OpenAlex.

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  14. Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026
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158 more citing papers are in PubMed but not listed here.

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

17 authors at 1 institution in 1 country.

Graham L BaumDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rastko CiricDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
David R RoalfDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Richard F BetzelDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Tyler M MooreDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ari E KahnDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Simon N VandekarDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Petra E RupertDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Megan QuarmleyDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Philip A CookDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Mark A ElliottDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kosha RuparelDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Raquel E GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ruben C GurDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Danielle S BassettDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: sattertt@mail.med.upenn.edu.
University of Pennsylvania · US

Funding

Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
NMDA Receptor Hypofunction in the Amygdala of Schizophrenia PatientsP50MH096891 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI HAHN, CHANG-GYU · 2012 to 2016
$10.6M
Linguistic and NonLinguistic Functions of Frontal CortexR01DC009209 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI THOMPSONSCHILL, SHARON L · 2008 to 2018
$5.2M
Longitudinal multi-modal neuroimaging of irritability in youthR01MH107703 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SATTERTHWAITE, THEODORE · 2015 to 2018
$2.6M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Multimodal brain maturation indices modulating psychopathology and neurocognitionR01MH107235 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2015 to 2017
$1.5M
Neurocognitive variability in schizophrenia and youth at-risk for psychosisK01MH102609 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ROALF, DAVID R · 2014 to 2017
$685k
Evolution of the Linked Architecture of Network Control and Executive Function in AdolescenceR21MH106799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, SATTERTHWAITE, THEODORE · 2016 to 2017
$515k
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
NICHD NIH HHS R01 HD086888NIDCD NIH HHS R01 DC009209NIMH NIH HHS K01 MH102609NIMH NIH HHS P50 MH096891NIMH NIH HHS R01 MH107235NIMH NIH HHS R01 MH107703NIMH NIH HHS R21 MH106799NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NINDS NIH HHS R01 NS085211
6 · The paper itself

Abstract

The human brain is organized into large-scale functional modules that have been shown to evolve in childhood and adolescence. However, it remains unknown whether the underlying white matter architecture is similarly refined during development, potentially allowing for improvements in executive function. In a sample of 882 participants (ages 8-22) who underwent diffusion imaging as part of the Philadelphia Neurodevelopmental Cohort, we demonstrate that structural network modules become more segregated with age, with weaker connections between modules and stronger connections within modules. Evolving modular topology facilitates global network efficiency and is driven by age-related strengthening of hub edges present both within and between modules. Critically, both modular segregation and network efficiency are associated with enhanced executive performance and mediate the improvement of executive functioning with age. Together, results delineate a process of structural network maturation that supports executive function in youth.

Indexed as

AdolescentAge FactorsChildConnectomeDiffusion Magnetic Resonance ImagingExecutive FunctionFemaleHumansMaleNerve NetWhite MatteradolescencebrainconnectomedevelopmentDTIexecutivemoduleMRInetworktractography

Identifiers

PMID28552358
PMCPMC5491213
OpenAlexW2514959782

What OpenQuestion holds

Textmetadata
LicenceTDM
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.