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Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.

Overview

Authors: Biying Peng1,2, Lin Du1, Mingxi Dang1,2,3, Ting Li1,2, Ziyun Li1,2, Jiawen Liu1,2, Yaojing Chen1,2, Bing Liu1, Zhanjun Zhang1,2,4
ORCID iDs: Lin Du
  1. State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University,Beijing, China
  2. BABRI Centre, Beijing Normal University,Beijing, China
  3. School of Systems Science, Beijing Normal University,Beijing, China
  4. Innovation Institute of Integrated Traditional Chinese and Western Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences,Jinan, China
Journal: NPJ digital medicine, volume 9, issue 1, article 490
Dates: received 8 August 2025; accepted 22 March 2026; published online 23 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41746-026-02597-3 · PMID 42026117 · PMCID PMC13315589 · OpenAlex W7155383691
Open access: gold, a free copy (OpenAlex)
Status: empty repository
Categories: structural MRI / diffusion (modality), human (organism), Alzheimer's / dementia (population), clinical / translational (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: Biomarkers, Neurology, Neuroscience
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: National Natural Science Foundation of China (Grant No. 82425024); Science and Technology Innovation 2030 Major Projects (Grant No. 2022ZD0211600); National Key Research and Development Program of China (Grant No. 2023YFC3605400); Postdoctoral Fellowship Program (Grade C) of China Postscience Foundation (GZC20252268); Innovation Team for Clinical & Basic Research, Shandong First Medical University (No. CX202408)
Citations: cited by 1 paper (Europe PMC); 70 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

No file of the authors' code could be read here: it is described below, and read at its source.

pppppby/CVAE-MCI

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Size: 0 files, 0 scripts
Software Heritage: not archived
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers
  • 29 September 2026: the link answers

Code availability statement

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Read it in the paper: doi.org/10.1038/s41746-026-02597-3.

Tracing map

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  • 0 scripts, each with its path and the digest of its content;
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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Data availability statement

The paper has a 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 says that the data are available on request

Read it in the paper: doi.org/10.1038/s41746-026-02597-3.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 3 keywords, 5 funders, 66 references.

Cite

This paper

Peng, B., Du, L., Dang, M., Li, T., Li, Z., Liu, J., Chen, Y., Liu, B., & Zhang, Z. (2026). Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning. NPJ digital medicine, 9(1), 490. https://doi.org/10.1038/s41746-026-02597-3

BibTeX

@article{peng2026decoupling,
author = {Peng, Biying and Du, Lin and Dang, Mingxi and Li, Ting and Li, Ziyun and Liu, Jiawen and Chen, Yaojing and Liu, Bing and Zhang, Zhanjun},
title = {{Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning}},
journal = {NPJ digital medicine},
year = {2026},
month = apr,
volume = {9},
number = {1},
pages = {490},
publisher = {Nature Publishing Group},
issn = {2398-6352},
doi = {10.1038/s41746-026-02597-3},
url = {https://doi.org/10.1038/s41746-026-02597-3},
pmid = {42026117},
pmcid = {PMC13315589}
}

RIS

TY - JOUR
AU - Peng, Biying
AU - Du, Lin
AU - Dang, Mingxi
AU - Li, Ting
AU - Li, Ziyun
AU - Liu, Jiawen
AU - Chen, Yaojing
AU - Liu, Bing
AU - Zhang, Zhanjun
TI - Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning
T2 - NPJ digital medicine
J2 - NPJ Digit Med
PY - 2026
DA - 2026/04/23
VL - 9
IS - 1
SP - 490
SN - 2398-6352
PB - Nature Publishing Group
DO - 10.1038/s41746-026-02597-3
UR - https://doi.org/10.1038/s41746-026-02597-3
LA - en
ER -

CSL-JSON

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