Treffer: A Novel Transfer Learning-Based Hybrid EEG-fNIRS Brain-Computer Interface for Intracerebral Hemorrhage Rehabilitation.
Title:
A Novel Transfer Learning-Based Hybrid EEG-fNIRS Brain-Computer Interface for Intracerebral Hemorrhage Rehabilitation.
Authors:
Chen D; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Shi J; State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Tao B; State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Zhao X; State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Zhao Z; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Li S; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Xu Y; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Ding T; State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Zhang P; Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Ye Q; Big Data and Artificial Intelligence Office, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Chen K; College of Computer Science and Technology, Donghua University, Shanghai, 201620, China., Wu Z; Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Tang Y; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Jiang W; Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Shu K; Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Huang L; Wuhan Neuracom Technology Development Co., Ltd, Wuhan, Hubei, 430206, China., You Z; Microsystems Technology Center, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China., Zhang P; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China., Tang Z; Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Source:
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2025 Nov; Vol. 12 (43), pp. e05426. Date of Electronic Publication: 2025 Aug 19.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Weinheim : WILEY-VCH, [2014]-
MeSH Terms:
References:
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Vision Res. 2001;41(10-11):1257-60. (PMID: 11322970)
Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S71-8. (PMID: 25721550)
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Physiother Theory Pract. 2022 Sep;38(9):1126-1134. (PMID: 33026895)
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Neurol Sci. 2024 Jan;45(1):55-63. (PMID: 37697027)
BMC Neurol. 2023 Mar 31;23(1):136. (PMID: 37003976)
Front Neurosci. 2023 Jan 09;16:1062889. (PMID: 36699533)
Stroke Vasc Neurol. 2022 Jul 19;:. (PMID: 35853669)
Stroke. 2003 Sep;34(9):2181-6. (PMID: 12907818)
IEEE Trans Instrum Meas. 2023;72:. (PMID: 38957474)
Adv Sci (Weinh). 2025 Nov;12(43):e05426. (PMID: 40831229)
Clin Neurophysiol. 2012 Jul;123(7):1328-37. (PMID: 22244309)
Sci Data. 2024 Jan 25;11(1):131. (PMID: 38272904)
Transl Stroke Res. 2025 Jun;16(3):975-989. (PMID: 38558011)
Front Hum Neurosci. 2024 Feb 01;18:1320457. (PMID: 38361913)
Sensors (Basel). 2023 Jun 28;23(13):. (PMID: 37447849)
Bioengineering (Basel). 2023 Dec 06;10(12):. (PMID: 38135985)
Int J Surg. 2024 Sep 01;110(9):5745-5762. (PMID: 39166947)
ACS Nano. 2023 Dec 26;17(24):24487-24513. (PMID: 38064282)
Stroke. 2016 Jun;47(6):e98-e169. (PMID: 27145936)
Natl Sci Rev. 2022 May 24;9(10):nwac099. (PMID: 36196114)
Circ Res. 2022 Apr 15;130(8):1204-1229. (PMID: 35420918)
IEEE J Biomed Health Inform. 2024 Apr;28(4):1971-1981. (PMID: 38265900)
Sci Data. 2024 Oct 25;11(1):1168. (PMID: 39455586)
Stroke. 2007 Apr;38(4):1293-7. (PMID: 17332444)
J Stroke Cerebrovasc Dis. 2021 Aug;30(8):105876. (PMID: 34049014)
Stroke. 2017 Jul;48(7):1908-1915. (PMID: 28550098)
IEEE Trans Neural Syst Rehabil Eng. 2022;30:329-339. (PMID: 35130163)
J Neural Eng. 2019 Apr;16(2):026007. (PMID: 30524056)
Neurophotonics. 2022 Oct;9(4):041411. (PMID: 35874933)
IEEE Trans Neural Netw Learn Syst. 2024 Nov;35(11):15479-15493. (PMID: 37379192)
Vision Res. 2001;41(10-11):1257-60. (PMID: 11322970)
Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S71-8. (PMID: 25721550)
Comput Biol Med. 2020 Aug;123:103843. (PMID: 32768038)
IEEE Trans Neural Syst Rehabil Eng. 2016 Nov 11;25(10):1735-1745. (PMID: 27849545)
Front Hum Neurosci. 2018 Jun 28;12:246. (PMID: 30002623)
Physiother Theory Pract. 2022 Sep;38(9):1126-1134. (PMID: 33026895)
J Neurosci Methods. 2019 Jan 15;312:1-11. (PMID: 30452976)
Neurorehabil Neural Repair. 2022 Dec;36(12):747-756. (PMID: 36426541)
IEEE Trans Neural Syst Rehabil Eng. 2022;30:1737-1744. (PMID: 35731756)
Neurol Sci. 2024 Jan;45(1):55-63. (PMID: 37697027)
BMC Neurol. 2023 Mar 31;23(1):136. (PMID: 37003976)
Grant Information:
2023BAA005 Major Program (JD) of Hubei Province; YCJJ20251401 Fundamental Research Funds for the Central Universities; 92148206 National Natural Science Foundation of China; 2024020702030123 Key Research and Development Program of Wuhan; 2024JCYJ044 Huazhong University of Science and Technology; 2022ZHFY01 Research Fund of Tongji Hospital; AI2024B03 Research Fund of Tongji Hospital
Contributed Indexing:
Keywords: brain‐computer interfaces; electroencephalograph; functional near infrared imaging; intracerebral hemorrhage; motor imagery; transfer learning
Entry Date(s):
Date Created: 20250820 Date Completed: 20251120 Latest Revision: 20251123
Update Code:
20251123
PubMed Central ID:
PMC12631896
DOI:
10.1002/advs.202505426
PMID:
40831229
Database:
MEDLINE
Weitere Informationen
Motor imagery (MI)-based neurorehabilitation shows promise for intracerebral hemorrhage (ICH) recovery, yet conventional unimodal brain-computer interfaces (BCIs) face critical limitations in cross-subject generalization. This study presents a multimodal electroencephalography (EEG)-functional near-infrared spectroscopy (fNIRS) fusion framework incorporating a Wasserstein metric-driven source domain selection method that quantifies inter-subject neural distribution divergence. Through comparative neuroactivation analysis of 17 normal controls and 13 ICH patients during MI tasks, the transfer learning model achieved 74.87% mean classification accuracy on patient data when trained with optimally selected normal templates. Cross-validation on two public hybrid EEG-fNIRS datasets demonstrated generalizability, increasing baseline accuracy to 82.30% and 87.24%, respectively. The proposed system synergistically combines the millisecond temporal resolution of EEG with the hemodynamic spatial specificity of fNIRS, establishing the first clinically viable multimodal analytical protocol for ICH rehabilitation. This paradigm advances neurotechnology translation by paving the way for personalized rehabilitation regimens through robust cross-subject neural pattern transfer while addressing the critical barrier of neurophysiological heterogeneity in post-ICH populations.
(© 2025 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)