Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resol...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/15/5865 |
| _version_ | 1797432631156015104 |
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| author | Rihui Li Dalin Yang Feng Fang Keum-Shik Hong Allan L. Reiss Yingchun Zhang |
| author_facet | Rihui Li Dalin Yang Feng Fang Keum-Shik Hong Allan L. Reiss Yingchun Zhang |
| author_sort | Rihui Li |
| collection | DOAJ |
| description | Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS–EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological reference of past studies remains unclear. To fill this knowledge gap, this review critically summarizes the status of analysis methods currently used in concurrent fNIRS–EEG studies, providing an up-to-date overview and guideline for future projects to conduct concurrent fNIRS–EEG studies. A literature search was conducted using PubMed and Web of Science through 31 August 2021. After screening and qualification assessment, 92 studies involving concurrent fNIRS–EEG data recordings and analyses were included in the final methodological review. Specifically, three methodological categories of concurrent fNIRS–EEG data analyses, including EEG-informed fNIRS analyses, fNIRS-informed EEG analyses, and parallel fNIRS–EEG analyses, were identified and explained with detailed description. Finally, we highlighted current challenges and potential directions in concurrent fNIRS–EEG data analyses in future research. |
| first_indexed | 2024-03-09T10:04:24Z |
| format | Article |
| id | doaj.art-612b6f7a22d84ed6805804648e7cc8d5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T10:04:24Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-612b6f7a22d84ed6805804648e7cc8d52023-12-01T23:10:47ZengMDPI AGSensors1424-82202022-08-012215586510.3390/s22155865Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused ReviewRihui Li0Dalin Yang1Feng Fang2Keum-Shik Hong3Allan L. Reiss4Yingchun Zhang5Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USASchool of Mechanical Engineering, Pusan National University, Pusan 43241, KoreaDepartment of Biomedical Engineering, University of Houston, Houston, TX 77004, USASchool of Mechanical Engineering, Pusan National University, Pusan 43241, KoreaCenter for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USADepartment of Biomedical Engineering, University of Houston, Houston, TX 77004, USAElectroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better spatial resolution, though it is constrained by its poor temporal resolution. One important merit shared by the EEG and fNIRS is that both modalities have favorable portability and could be integrated into a compatible experimental setup, providing a compelling ground for the development of a multimodal fNIRS–EEG integration analysis approach. Despite a growing number of studies using concurrent fNIRS-EEG designs reported in recent years, the methodological reference of past studies remains unclear. To fill this knowledge gap, this review critically summarizes the status of analysis methods currently used in concurrent fNIRS–EEG studies, providing an up-to-date overview and guideline for future projects to conduct concurrent fNIRS–EEG studies. A literature search was conducted using PubMed and Web of Science through 31 August 2021. After screening and qualification assessment, 92 studies involving concurrent fNIRS–EEG data recordings and analyses were included in the final methodological review. Specifically, three methodological categories of concurrent fNIRS–EEG data analyses, including EEG-informed fNIRS analyses, fNIRS-informed EEG analyses, and parallel fNIRS–EEG analyses, were identified and explained with detailed description. Finally, we highlighted current challenges and potential directions in concurrent fNIRS–EEG data analyses in future research.https://www.mdpi.com/1424-8220/22/15/5865EEGfunctional NIRSmultimodal neuroimagingconcurrent recordingintegrated analysis |
| spellingShingle | Rihui Li Dalin Yang Feng Fang Keum-Shik Hong Allan L. Reiss Yingchun Zhang Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review Sensors EEG functional NIRS multimodal neuroimaging concurrent recording integrated analysis |
| title | Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review |
| title_full | Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review |
| title_fullStr | Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review |
| title_full_unstemmed | Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review |
| title_short | Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review |
| title_sort | concurrent fnirs and eeg for brain function investigation a systematic methodology focused review |
| topic | EEG functional NIRS multimodal neuroimaging concurrent recording integrated analysis |
| url | https://www.mdpi.com/1424-8220/22/15/5865 |
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