Evidence map›Paper›PMID 40060681›Full record

ArticlebioRxiv : the preprint server for biology2025

Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health.

G Shafiei, N B Esper, M S Hoffmann, L Ai, A A Chen, J Cluce, S Covitz, S Giavasis, C Lane, K Mehta and 21 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

G ShafieiPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-2036-5571
N B EsperChild Mind Institute, New York, NY, USA.
M S HoffmannDepartment of Neuropsychiatry, Universidade Federal de Santa Maria (UFSM), Santa Maria, Brazil.
L AiChild Mind Institute, New York, NY, USA.
A A ChenDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.
J CluceChild Mind Institute, New York, NY, USA.
S CovitzDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
S GiavasisChild Mind Institute, New York, NY, USA.
C LaneChild Mind Institute, New York, NY, USA.
K MehtaDepartment of Neuroscience, Columbia University, New York, NY, USA.
T M MooreDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
T SaloPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
T M TaperaKhoury College of Computer Sciences, Northeastern University, Boston, MA, USA.
M E CalkinsDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
S ColcombeCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA.
C DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
R E GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
R C GurDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
P M PanDepartment of Psychiatry, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
A P JackowskiDepartment of Psychiatry, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
A RokemDepartment of Psychology, University of Washington, Seattle, WA, USA.
L A RohdeGraduate Program in Psychiatry and Behavioral Sciences, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
R T ShinoharaCenter for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, USA.
N TottenhamDepartment of Psychology, Columbia University, New York, NY, USA.
X N ZuoDevelopmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
M CieslakPenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.
A R FrancoChild Mind Institute, New York, NY, USA.
G KiarChild Mind Institute, New York, NY, USA.
G A SalumChild Mind Institute, New York, NY, USA.
M P MilhamChild Mind Institute, New York, NY, USA.
T D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7072-9399

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Michael Peter Milham · 2017 to 2026
$25.3M
Penn Mental Health AIDS Research CenterP30MH097488 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Knashawn Hodge Morales · 2013 to 2026
$23.5M
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
Precision mapping of individualized executive networks in youthR37MH125829 · NIMH · UNIVERSITY OF MINNESOTA · PI Damien A Fair, Theodore Satterthwaite · 2021 to 2026
$4.7M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
The Neuroimaging Brain Chart Software SuiteU24NS130411 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos, Yong Fan · 2023 to 2026
$3.7M
Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIPreps: integrating neuroimaging preprocessing workflows across modalities, populations, and speciesRF1MH121867 · NIMH · STANFORD UNIVERSITY · PI POLDRACK, RUSSELL A, ROKEM, ARIEL SHALOM · 2021 to 2022
$1.6M
NIBIB NIH HHS R01 EB022573NIMH NIH HHS K08 MH079364NIMH NIH HHS P30 MH097488NIMH NIH HHS P50 MH109429NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH113550NIMH NIH HHS R01 MH120482NIMH NIH HHS R01 MH123550NIMH NIH HHS R37 MH125829NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS RF1 MH121867NINDS NIH HHS U24 NS130411
6 · The paper itself

Abstract

Major mental disorders are increasingly understood as disorders of brain development. Large and heterogeneous samples are required to define generalizable links between brain development and psychopathology. To this end, we introduce the Reproducible Brain Charts (RBC), an open data resource that integrates data from 5 large studies of brain development in youth from three continents (

Identifiers

PMID40060681
PMCPMC11888297

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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.