Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations.
The 2 matches
- [1] § Materials and Methods › CentileBrain Normative Models of Brain Morphometry. ↔ models/combatGAM_Python4R.py, lines 12–17 · score 0.51 · ComBat GAM, harmonize, models
- [2] § Materials and Methods › CentileBrain Normative Models of Brain Morphometry. ↔ Python_R_codes/combatGAM_Python4R.py, lines 11–16 · score 0.51 · ComBat GAM, harmonize, models
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
Python · 24 lines · 462 B · no license · 1 match
- #!/usr/bin/env python
- # coding: utf-8
- # In[1]:
- from neuroHarmonize import harmonizationLearn
- import pandas as pd
- import numpy as np
- np.random.seed(0)
- def combatGAM_Python4R_function(path):
- data = pd.read_csv(path + 'data_temp.csv')
- my_data = np.array(data)
- my_covars = pd.read_csv(path + 'covars_temp.csv')
- my_model, my_data_adj = harmonizationLearn(my_data, my_covars)
- return my_data_adj, my_model
- # In[ ]:
combatGAM_Python4R.py at commit a532b6f, no license · at the source
Overview
and 15 other authors
Junya Matsumoto21, Urvakhsh M Mehta22, Kiyotaka Nemoto23, Giuseppe Pontillo24, Florian J Raabe15,25, Francisco Reyes-Madrigal8, Neelabja Roy22, Didenur Şahin-Çevik5,18, Tuba Sahin-Ilikoglu5,18, Timothea Toulopoulou2,4,5,18,26, Elias Wagner27,28, Guoyuan Yang29, Mariana Zurita3, Paul M Thompson30, Sophia Frangou1,230 affiliations
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY 10029
- Institute of Psychiatry, Psychology and Neuroscience, London SE5 8AF, United Kingdom
- Department of Psychology, Bilkent University, Ankara 06800, Türkiye
- National Magnetic Resonance Research Center, Bilkent University, Ankara 06800, Türkiye
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck 23538, Germany
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330077, Chile
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Ciudad de México 14269, Mexico
- Section of Brain Function Information, National Institute for Physiological Sciences, Okazaki 444-8585, Japan
- IDG McGovern Institute for Brain Research, Center for MRI Research, Peking University, Beijing 100871, China
- School of Medicine, Universidad Finis Terrae, Santiago 7501015, Chile
- Psychiatric Institute José Horwitz B., Santiago 8420000, Chile
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan
- Department of Neuroscience, University School of Naples “Federico II”, Naples 80131, Italy
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich 80336, Germany
- NeuroImaging Core Unit Munich, LMU University Hospital, LMU Munich, Munich 80336, Germany
- Munich Center for Neurosciences, Ludwig-Maximilians-Universität München, Munich 82152, Germany
- Department of Neuroscience, Bilkent University Aysel Sabuncu Brain Research Center, Ankara 06800, Türkiye
- Centre for Cognitive and Clinical Neuroscience, Brunel University of London, Uxbridge UB8 3PH, United Kingdom
- Department of Psychology, College of Health, Medicine and Life Sciences, Brunel University of London, Uxbridge UB8 3PH, United Kingdom
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 187–8551, Japan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore 560029, India
- Department of Medical Informatics and Management and Psychiatry, Institute of Medicine, University of Tsukuba, Ibaraki 305-857, Japan
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, Naples 80131, Italy
- Max Planck Institute of Psychiatry, Munich 80804, Germany
- First Department of Psychiatry, National and Kapodistrian University of Athens, Athens 10679, Greece
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical Faculty University of Augsburg, Augsburg 86159, Germany
- Evidence-Based Psychiatry and Psychotherapy, Faculty of Medicine, University of Augsburg, Augsburg 86159, Germany
- Advanced Research Institute of Multidisciplinary Sciences, School of Medical Technology, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
- Imaging Genetics Center, Mark & Mary Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Repository
Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.
centilebrain/centilebrain
a532b6ff89ccd5fba3846b77b13a175fb9283c68, 28 April 2026Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
10 files
- Python_R_codes/
combatGAM_Python4R.py , Python, 16 lines, 1 match - Python_R_codes/
combatGAM_script/ , Python, 18 linescombatGAM_Python.py - brainAGE_models/
Schaefer1000_parcel_extr , Shell, 35 linesaction.sh - brainAGE_models/
Schaefer400.sh , Shell, 35 lines - brainAGE_models/
Schaefer400_parcel_extra , Shell, 35 linesction.sh - ethnoracial_test/
perm_MAE_RMSE_RMAE_test_ , MATLAB, 101 linesregion.m - instructions/
Schaefer_parcellation_ex , Shell, 33 linestraction-BrainAge.sh - instructions/
Schaefer_parcellation_ex , Shell, 32 linestraction_Developmental-B rainAge.sh - models/
combatGAM_Python4R.py , Python, 24 lines, 1 match - README.md, Text, 6 lines
The paper's code and data availability statement is in the Data section.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
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- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 9 scripts, each with its path and the digest of its content;
- 2 matches between paragraphs of the paper and lines of the code (method lexical-v1);
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
Datasets cited
- openneuro:ds003481, at OpenNeuro; found in the text, “Samples.”
- ukbiobank.ac.uk/
enable-your-research/ , at UK Biobank; found in “Data, Materials, and Software Availability”apply-for-access
Code and data availability statement
The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to a dataset: ukbiobank.ac.uk/
enable-your-research/ apply-for-access - it says that the data are available on request
Read it in the paper: doi.org/10.1073/pnas.2521055123.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 35 authors, 4 keywords, 9 MeSH terms, 6 funders, 43 references.
Cite
This paper
Ge, R., Yu, Y., New, F., Haas, S. S., Sanford, N., Yu, K., Allen, P., Arslan, S., Avram, M., Borgwardt, S., Crossley, N. A., de la Fuente-Sandoval, C., Fukunaga, M., Gao, J.-H., Gonzalez-Valderrama, A., Hashimoto, R., Iasevoli, F., Keeser, D., Kubat, K., . . . Frangou, S. (2026). Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations. Proceedings of the National Academy of Sciences of the United States of America, 123(20), e2521055123. https://
BibTeX
@article{ge2026empirical
author = {Ge, Ruiyang and Yu, Yuetong and New, Faye and Haas, Shalaila S and Sanford, Nicole and Yu, Kevin and Allen, Paul and Arslan, Seda and Avram, Mihai and Borgwardt, Stefan and Crossley, Nicolas A and de la Fuente-Sandoval, Camilo and Fukunaga, Masaki and Gao, Jia-Hong and Gonzalez-Valderrama, Alfonso and Hashimoto, Ryota and Iasevoli, Felice and Keeser, Daniel and Kubat, Kader and Kumari, Veena and Matsumoto, Junya and Mehta, Urvakhsh M and Nemoto, Kiyotaka and Pontillo, Giuseppe and Raabe, Florian J and Reyes-Madrigal, Francisco and Roy, Neelabja and Şahin-Çevik, Didenur and Sahin-Ilikoglu, Tuba and Toulopoulou, Timothea and Wagner, Elias and Yang, Guoyuan and Zurita, Mariana and Thompson, Paul M and Frangou, Sophia},
title = {{Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations}},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2026},
month = may,
volume = {123},
number = {20},
pages = {e2521055123},
publisher = {National Academy of Sciences},
issn = {0027-8424},
doi = {10.1073/
url = {https://
pmid = {42118844},
pmcid = {PMC13187733}
}
RIS
TY - JOUR
AU - Ge, Ruiyang
AU - Yu, Yuetong
AU - New, Faye
AU - Haas, Shalaila S
AU - Sanford, Nicole
AU - Yu, Kevin
AU - Allen, Paul
AU - Arslan, Seda
AU - Avram, Mihai
AU - Borgwardt, Stefan
AU - Crossley, Nicolas A
AU - de la Fuente-Sandoval, Camilo
AU - Fukunaga, Masaki
AU - Gao, Jia-Hong
AU - Gonzalez-Valderrama, Alfonso
AU - Hashimoto, Ryota
AU - Iasevoli, Felice
AU - Keeser, Daniel
AU - Kubat, Kader
AU - Kumari, Veena
AU - Matsumoto, Junya
AU - Mehta, Urvakhsh M
AU - Nemoto, Kiyotaka
AU - Pontillo, Giuseppe
AU - Raabe, Florian J
AU - Reyes-Madrigal, Francisco
AU - Roy, Neelabja
AU - Şahin-Çevik, Didenur
AU - Sahin-Ilikoglu, Tuba
AU - Toulopoulou, Timothea
AU - Wagner, Elias
AU - Yang, Guoyuan
AU - Zurita, Mariana
AU - Thompson, Paul M
AU - Frangou, Sophia
TI - Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations
T2 - Proceedings of the National Academy of Sciences of the United States of America
J2 - Proc Natl Acad Sci U S A
PY - 2026
DA - 2026/
VL - 123
IS - 20
SP - e2521055123
SN - 0027-8424
PB - National Academy of Sciences
DO - 10.1073/
UR - https://
LA - en
ER -
CSL-JSON
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