{"title":"利用便携式设备探索α波段脑电图神经反馈的神经机制:前后对比研究","authors":"Xiaoyu Chen , Li Sui","doi":"10.1016/j.medengphy.2025.104380","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to clarify the neural mechanisms of alpha-band neurofeedback (NF) training using a portable EEG system and to evaluate its feasibility for cognitive enhancement in practical settings.</div></div><div><h3>Methods</h3><div>Sixteen healthy young adults (<span><math><mi>M</mi><mo>=</mo><mn>24.28</mn><mo>±</mo><mn>1.31</mn></math></span> years) completed eight sessions of alpha-band NF training. EEG signals were collected before and after training with a wearable 16-channel device. Neural changes were assessed using power spectral analysis, source localization (sLORETA), and functional connectivity analysis across five frequency bands.</div></div><div><h3>Results</h3><div>Training led to increased power in theta, alpha, beta, and gamma bands. Source analysis showed decreased current density in lower frequencies and increased activity in higher bands, reflecting a shift toward more efficient neural processing and enhanced cognitive network engagement, as supported by previous studies. Functional connectivity revealed stronger synchronization among frontal, parietal, and occipital regions involved in working memory.</div></div><div><h3>Conclusion</h3><div>Portable alpha-band neurofeedback training induces widespread neural modulation across multiple frequency bands and brain networks, supporting the feasibility of wearable EEG systems for accessible cognitive training.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"142 ","pages":"Article 104380"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the neural mechanisms of alpha-band EEG neurofeedback using portable devices: A pre-post comparative study\",\"authors\":\"Xiaoyu Chen , Li Sui\",\"doi\":\"10.1016/j.medengphy.2025.104380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study aimed to clarify the neural mechanisms of alpha-band neurofeedback (NF) training using a portable EEG system and to evaluate its feasibility for cognitive enhancement in practical settings.</div></div><div><h3>Methods</h3><div>Sixteen healthy young adults (<span><math><mi>M</mi><mo>=</mo><mn>24.28</mn><mo>±</mo><mn>1.31</mn></math></span> years) completed eight sessions of alpha-band NF training. EEG signals were collected before and after training with a wearable 16-channel device. Neural changes were assessed using power spectral analysis, source localization (sLORETA), and functional connectivity analysis across five frequency bands.</div></div><div><h3>Results</h3><div>Training led to increased power in theta, alpha, beta, and gamma bands. Source analysis showed decreased current density in lower frequencies and increased activity in higher bands, reflecting a shift toward more efficient neural processing and enhanced cognitive network engagement, as supported by previous studies. Functional connectivity revealed stronger synchronization among frontal, parietal, and occipital regions involved in working memory.</div></div><div><h3>Conclusion</h3><div>Portable alpha-band neurofeedback training induces widespread neural modulation across multiple frequency bands and brain networks, supporting the feasibility of wearable EEG systems for accessible cognitive training.</div></div>\",\"PeriodicalId\":49836,\"journal\":{\"name\":\"Medical Engineering & Physics\",\"volume\":\"142 \",\"pages\":\"Article 104380\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medical Engineering & Physics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1350453325000992\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Engineering & Physics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350453325000992","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Exploring the neural mechanisms of alpha-band EEG neurofeedback using portable devices: A pre-post comparative study
Objective
This study aimed to clarify the neural mechanisms of alpha-band neurofeedback (NF) training using a portable EEG system and to evaluate its feasibility for cognitive enhancement in practical settings.
Methods
Sixteen healthy young adults ( years) completed eight sessions of alpha-band NF training. EEG signals were collected before and after training with a wearable 16-channel device. Neural changes were assessed using power spectral analysis, source localization (sLORETA), and functional connectivity analysis across five frequency bands.
Results
Training led to increased power in theta, alpha, beta, and gamma bands. Source analysis showed decreased current density in lower frequencies and increased activity in higher bands, reflecting a shift toward more efficient neural processing and enhanced cognitive network engagement, as supported by previous studies. Functional connectivity revealed stronger synchronization among frontal, parietal, and occipital regions involved in working memory.
Conclusion
Portable alpha-band neurofeedback training induces widespread neural modulation across multiple frequency bands and brain networks, supporting the feasibility of wearable EEG systems for accessible cognitive training.
期刊介绍:
Medical Engineering & Physics provides a forum for the publication of the latest developments in biomedical engineering, and reflects the essential multidisciplinary nature of the subject. The journal publishes in-depth critical reviews, scientific papers and technical notes. Our focus encompasses the application of the basic principles of physics and engineering to the development of medical devices and technology, with the ultimate aim of producing improvements in the quality of health care.Topics covered include biomechanics, biomaterials, mechanobiology, rehabilitation engineering, biomedical signal processing and medical device development. Medical Engineering & Physics aims to keep both engineers and clinicians abreast of the latest applications of technology to health care.