Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification.

Overview

Authors: Jiacheng Zhang¹, Haolan Zhang², Youpeng Yang³

Institutions: Zhejiang Sci-Tech University (China); Ningbo University of Technology (China); NingboTech University (China); Zhejiang University (China)

Journal: Brain informatics, volume 13, issue 1, article 24

Dates: received 26 January 2026; accepted 5 May 2026; published online 25 May 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1186/s40708-026-00308-y · PMID 42185690 · PMCID PMC13280076 · OpenAlex W7162342121

Open access: gold, a free copy (OpenAlex)

Status: data only

Categories: EEG (modality), methods / tools (subfield)

Methods: Connectivity, Spectral & time-frequency, Machine learning

Keywords: Motor imagery, EEG, Diffusion, Domain adaptation

Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex

Funding: Humanity and Social Science Foundation of the Ministry of Education of China (21A13022003); Natural Science Foundation of Zhejiang Province (LMS26F020033)

Citations: not cited yet (Europe PMC); 55 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

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

bbci.de/competition/iv, at bbci.de; found in “Data availability”

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 points to a dataset: bbci.de/competition/iv

Read it in the paper: doi.org/10.1186/s40708-026-00308-y.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 2 funders, 27 references.

Cite

This paper

Zhang, J., Zhang, H., & Yang, Y. (2026). Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification. Brain informatics, 13(1), 24. https://doi.org/10.1186/s40708-026-00308-y

BibTeX

@article{zhang2026generative, author = {Zhang, Jiacheng and Zhang, Haolan and Yang, Youpeng}, title = {{Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification}}, journal = {Brain informatics}, year = {2026}, month = may, volume = {13}, number = {1}, pages = {24}, publisher = {Springer}, issn = {2198-4018}, doi = {10.1186/s40708-026-00308-y}, url = {https://doi.org/10.1186/s40708-026-00308-y}, pmid = {42185690}, pmcid = {PMC13280076} }

RIS

TY - JOUR AU - Zhang, Jiacheng AU - Zhang, Haolan AU - Yang, Youpeng TI - Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification T2 - Brain informatics J2 - Brain Inform PY - 2026 DA - 2026/05/25 VL - 13 IS - 1 SP - 24 SN - 2198-4018 PB - Springer DO - 10.1186/s40708-026-00308-y UR - https://doi.org/10.1186/s40708-026-00308-y LA - en ER -

CSL-JSON

{ "id": "10.1186/s40708-026-00308-y", "type": "article-journal", "title": "Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification", "container-title": "Brain informatics", "author": [ { "family": "Zhang", "given": "Jiacheng" }, { "family": "Zhang", "given": "Haolan" }, { "family": "Yang", "given": "Youpeng" } ], "container-title-short": "Brain Inform", "volume": "13", "issue": "1", "page": "24", "DOI": "10.1186/s40708-026-00308-y", "PMID": "42185690", "PMCID": "PMC13280076", "ISSN": "2198-4018", "publisher": "Springer", "URL": "https://doi.org/10.1186/s40708-026-00308-y", "language": "en", "issued": { "date-parts": [ [ 2026, 5, 25 ] ] } }

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.