Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds
Activity in the gamma range is related to many sensory and cognitive processes that are impaired in neuropsychiatric conditions. Therefore, individualized measures of gamma-band activity are considered to be potential markers that reflect the state of networks within the brain. Relatively little has...
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MDPI AG
2023-03-01
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| Online Access: | https://www.mdpi.com/1424-8220/23/5/2826 |
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| author | Aurimas Mockevičius Yusuke Yokota Povilas Tarailis Hatsunori Hasegawa Yasushi Naruse Inga Griškova-Bulanova |
| author_facet | Aurimas Mockevičius Yusuke Yokota Povilas Tarailis Hatsunori Hasegawa Yasushi Naruse Inga Griškova-Bulanova |
| author_sort | Aurimas Mockevičius |
| collection | DOAJ |
| description | Activity in the gamma range is related to many sensory and cognitive processes that are impaired in neuropsychiatric conditions. Therefore, individualized measures of gamma-band activity are considered to be potential markers that reflect the state of networks within the brain. Relatively little has been studied in respect of the individual gamma frequency (IGF) parameter. The methodology for determining the IGF is not well established. In the present work, we tested the extraction of IGFs from electroencephalogram (EEG) data in two datasets where subjects received auditory stimulation consisting of clicks with varying inter-click periods, covering a 30–60 Hz range: in 80 young subjects EEG was recorded with 64 gel-based electrodes; in 33 young subjects, EEG was recorded using three active dry electrodes. IGFs were extracted from either fifteen or three electrodes in frontocentral regions by estimating the individual-specific frequency that most consistently exhibited high phase locking during the stimulation. The method showed overall high reliability of extracted IGFs for all extraction approaches; however, averaging over channels resulted in somewhat higher reliability scores. This work demonstrates that the estimation of individual gamma frequency is possible using a limited number of both the gel and dry electrodes from responses to click-based chirp-modulated sounds. |
| first_indexed | 2024-03-11T07:10:01Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T07:10:01Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f50b2c208ed9488fbb88be9732d41bea2023-11-17T08:40:15ZengMDPI AGSensors1424-82202023-03-01235282610.3390/s23052826Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated SoundsAurimas Mockevičius0Yusuke Yokota1Povilas Tarailis2Hatsunori Hasegawa3Yasushi Naruse4Inga Griškova-Bulanova5Institute of Biosciences, Life Sciences Centre, Vilnius University, Saulėtekio av. 7, LT-10257 Vilnius, LithuaniaCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Saka University, Kobe 651-2492, Hyogo, JapanInstitute of Biosciences, Life Sciences Centre, Vilnius University, Saulėtekio av. 7, LT-10257 Vilnius, LithuaniaCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Saka University, Kobe 651-2492, Hyogo, JapanCenter for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Saka University, Kobe 651-2492, Hyogo, JapanInstitute of Biosciences, Life Sciences Centre, Vilnius University, Saulėtekio av. 7, LT-10257 Vilnius, LithuaniaActivity in the gamma range is related to many sensory and cognitive processes that are impaired in neuropsychiatric conditions. Therefore, individualized measures of gamma-band activity are considered to be potential markers that reflect the state of networks within the brain. Relatively little has been studied in respect of the individual gamma frequency (IGF) parameter. The methodology for determining the IGF is not well established. In the present work, we tested the extraction of IGFs from electroencephalogram (EEG) data in two datasets where subjects received auditory stimulation consisting of clicks with varying inter-click periods, covering a 30–60 Hz range: in 80 young subjects EEG was recorded with 64 gel-based electrodes; in 33 young subjects, EEG was recorded using three active dry electrodes. IGFs were extracted from either fifteen or three electrodes in frontocentral regions by estimating the individual-specific frequency that most consistently exhibited high phase locking during the stimulation. The method showed overall high reliability of extracted IGFs for all extraction approaches; however, averaging over channels resulted in somewhat higher reliability scores. This work demonstrates that the estimation of individual gamma frequency is possible using a limited number of both the gel and dry electrodes from responses to click-based chirp-modulated sounds.https://www.mdpi.com/1424-8220/23/5/2826individual gamma frequency (IGF)auditory steady-state response (ASSR)dry electrodes |
| spellingShingle | Aurimas Mockevičius Yusuke Yokota Povilas Tarailis Hatsunori Hasegawa Yasushi Naruse Inga Griškova-Bulanova Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds Sensors individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes |
| title | Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds |
| title_full | Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds |
| title_fullStr | Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds |
| title_full_unstemmed | Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds |
| title_short | Extraction of Individual EEG Gamma Frequencies from the Responses to Click-Based Chirp-Modulated Sounds |
| title_sort | extraction of individual eeg gamma frequencies from the responses to click based chirp modulated sounds |
| topic | individual gamma frequency (IGF) auditory steady-state response (ASSR) dry electrodes |
| url | https://www.mdpi.com/1424-8220/23/5/2826 |
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