Evidence map›Paper›PMID 35551181›Full record

ArticleNature communications2022

Dissociable multi-scale patterns of development in personalized brain networks.

Adam R Pines, Bart Larsen, Zaixu Cui, Valerie J Sydnor, Maxwell A Bertolero, Azeez Adebimpe, Aaron F Alexander-Bloch, Christos Davatzikos, Damien A Fair, Ruben C Gur and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  7. White matter reflects the childhood exposome.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Two axes of white matter development.Nature communications · 2026
    Article
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2 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

23 authors.

Adam R PinesThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Bart LarsenThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Zaixu CuiThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0003-4385-8106
Valerie J SydnorThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Maxwell A BertoleroThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Azeez AdebimpeThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0001-9049-0135
Aaron F Alexander-BlochDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0001-6554-1893
Christos DavatzikosDepartment of Radiology, the University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-1025-8561
Damien A FairDepartment of Pediatrics, College of Education and Human Development, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID 0000-0001-8602-393X
Ruben C GurDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Raquel E GurDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Hongming LiDepartment of Radiology, the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Michael P MilhamCenter for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, 10962, USA.
Tyler M MooreDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-1384-0151
Kristin MurthaThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Linden ParkesThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sharon L Thompson-SchillDepartment of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sheila ShanmuganThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sarah M WeinsteinDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Danielle S BassettDepartment of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-6183-4493
Yong FanDepartment of Radiology, the University of Pennsylvania, Philadelphia, PA, 19104, USA.
Theodore D SatterthwaiteThe Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA. sattertt@pennmedicine.upenn.edu.ORCID 0000-0001-7072-9399

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
Longitudinal Mapping of Network Development Underlying Executive Dysfunction in AdolescenceR01MH113550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Danielle Smith Bassett, Theodore Satterthwaite · 2018 to 2026
$6.9M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
TRAINING PROGRAM IN NEUROPSYCHOPHARMACOLOGY-PREDOCTORALT32MH014654 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BERRETTINI, WADE H · 1985 to 2021
$5.0M
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
Network Control and Functional Context: Mechanisms for TMS ResponseRF1MH116920 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, OATHES, DESMOND · 2018 to 2018
$2.8M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
Brain iron as a neurodevelopmental mechanism for transdianostic executive dysfunctionK99MH127293 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI LARSEN, BART · 2022 to 2023
$168k
Discovering prognostic neuroimaging biomarkers of the psychosis spectrum using network control theoryK99MH127296 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI PARKES, LINDEN · 2021 to 2022
$146k
NIBIB NIH HHS R01 EB022573NIH HHS S10 OD023495NIMH NIH HHS F31 MH123063NIMH NIH HHS K99 MH127293NIMH NIH HHS K99 MH127296NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH120482NIMH NIH HHS R37 MH125829NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS RF1 MH116920NIMH NIH HHS T32 MH014654
6 · The paper itself

Abstract

The brain is organized into networks at multiple resolutions, or scales, yet studies of functional network development typically focus on a single scale. Here, we derive personalized functional networks across 29 scales in a large sample of youths (n = 693, ages 8-23 years) to identify multi-scale patterns of network re-organization related to neurocognitive development. We found that developmental shifts in inter-network coupling reflect and strengthen a functional hierarchy of cortical organization. Furthermore, we observed that scale-dependent effects were present in lower-order, unimodal networks, but not higher-order, transmodal networks. Finally, we found that network maturation had clear behavioral relevance: the development of coupling in unimodal and transmodal networks are dissociably related to the emergence of executive function. These results suggest that the development of functional brain networks align with and refine a hierarchy linked to cognition.

Indexed as

BrainMagnetic Resonance ImagingAdolescentAdultBrain MappingChildCognitionExecutive FunctionHumansNerve NetYoung Adult

Identifiers

PMID35551181
PMCPMC9098559

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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.