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Multidimensional cortical morphological alterations in COPD using explainable machine learning.

Overview

Authors: Jiajie Chen1,2, Yanrong Chen1, Kun Zhang3, Kai Xu3, Guoqing Sun1, He Hei1, Wendi Huo1, Wei Sheng4, Paradis Bahadori1, Gauging Ma5, Chenwang Jin1
ORCID iDs: Jiajie Chen
  1. Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
  2. Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi’an, China
  3. Department of Radiology, Baoji Central Hospital, Baoji, China
  4. MR Research Collaboration, Siemens Healthineers, Shanghai, China
  5. Department of Radiology, Affiliated Hospital of the Shaanxi University of Traditional Chinese Medicine, Xianyang, China
Institutions: First Affiliated Hospital of Xi'an Jiaotong University (China); Tang Du Hospital (China); Xi'an Jiaotong University (China); Air Force Medical University (China); Baoji City Central Hospital (China); Affiliated Hospital of Shaanxi University of Chinese Medicine (China); Shaanxi University of Chinese Medicine (China)
Journal: iScience, volume 29, issue 8, article 115653
Dates: received 25 October 2025; accepted 6 April 2026; published online 11 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.115653 · PMID 42472111 · PMCID PMC13380425 · OpenAlex W7153639894
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), cognitive (subfield)
Methods: Connectivity, Statistics, Machine learning, Complexity, fMRI & imaging, Preprocessing
Keywords: chronic obstructive pulmonary disease, gray matter, precentral gyrus, extreme gradient boosting, mediating effects
Topic: Chronic Obstructive Pulmonary Disease (COPD) Research (Pulmonary and Respiratory Medicine, Medicine), according to OpenAlex
Funding: National Natural Science Foundation of China (National Science Foundation of China) (82572322); Natural Science Foundation of Guangdong Province (2025A1515012920)
Citations: not cited yet (Europe PMC); 38 references in the paper

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.

Code

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Data

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Code and data availability statement

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Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 5 keywords, 2 funders, 38 references.

Cite

This paper

Chen, J., Chen, Y., Zhang, K., Xu, K., Sun, G., Hei, H., Huo, W., Sheng, W., Bahadori, P., Ma, G., & Jin, C. (2026). Multidimensional cortical morphological alterations in COPD using explainable machine learning. iScience, 29(8), 115653. https://doi.org/10.1016/j.isci.2026.115653

BibTeX

@article{chen2026multidimensional,
author = {Chen, Jiajie and Chen, Yanrong and Zhang, Kun and Xu, Kai and Sun, Guoqing and Hei, He and Huo, Wendi and Sheng, Wei and Bahadori, Paradis and Ma, Gauging and Jin, Chenwang},
title = {{Multidimensional cortical morphological alterations in COPD using explainable machine learning}},
journal = {iScience},
year = {2026},
month = apr,
volume = {29},
number = {8},
pages = {115653},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.115653},
url = {https://doi.org/10.1016/j.isci.2026.115653},
pmid = {42472111},
pmcid = {PMC13380425}
}

RIS

TY - JOUR
AU - Chen, Jiajie
AU - Chen, Yanrong
AU - Zhang, Kun
AU - Xu, Kai
AU - Sun, Guoqing
AU - Hei, He
AU - Huo, Wendi
AU - Sheng, Wei
AU - Bahadori, Paradis
AU - Ma, Gauging
AU - Jin, Chenwang
TI - Multidimensional cortical morphological alterations in COPD using explainable machine learning
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/04/11
VL - 29
IS - 8
SP - 115653
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.115653
UR - https://doi.org/10.1016/j.isci.2026.115653
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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