Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State
The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between sub...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/12/6/896 |
| _version_ | 1797485545720381440 |
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| author | Povilas Tarailis Frances M. De Blasio Dovile Simkute Inga Griskova-Bulanova |
| author_facet | Povilas Tarailis Frances M. De Blasio Dovile Simkute Inga Griskova-Bulanova |
| author_sort | Povilas Tarailis |
| collection | DOAJ |
| description | The resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between subjective experiences measured with the Amsterdam Resting-State Questionnaire and data-driven components of an electroencephalogram extracted by frequency principal component analysis (f-PCA). Five minutes of resting multichannel EEG was recorded in 226 participants and six EEG data-driven components were extracted—three components in the alpha range (peaking at 9, 10.5, and 11.5 Hz) and one each in the delta (peaking at 0.5 Hz), theta (peaking at 5.5 Hz) and beta (peaking at 17 Hz) ranges. Bayesian Pearson’s correlation revealed a positive association between the individual loadings of the theta component and ratings for Sleepiness (r = 0.200, BF<sub>10</sub> = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF<sub>10</sub> = 7.115). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity. |
| first_indexed | 2024-03-09T23:20:21Z |
| format | Article |
| id | doaj.art-402956ef9ec0449baf6defe5495b45a7 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T23:20:21Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-402956ef9ec0449baf6defe5495b45a72023-11-23T17:27:15ZengMDPI AGJournal of Personalized Medicine2075-44262022-05-0112689610.3390/jpm12060896Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting StatePovilas Tarailis0Frances M. De Blasio1Dovile Simkute2Inga Griskova-Bulanova3Life Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, LithuaniaBrain & Behaviour Research Institute and School of Psychology, University of Wollongong, Wollongong, NSW 2522, AustraliaLife Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, LithuaniaLife Sciences Center, Institute of Biosciences, Vilnius University, Sauletekio Ave. 7, LT-10257 Vilnius, LithuaniaThe resting-state paradigm is frequently applied to study spontaneous activity of the brain in normal and clinical conditions. However, the relationship between the ongoing experience of mind wandering and the individual biological signal is still unclear. We aim to estimate associations between subjective experiences measured with the Amsterdam Resting-State Questionnaire and data-driven components of an electroencephalogram extracted by frequency principal component analysis (f-PCA). Five minutes of resting multichannel EEG was recorded in 226 participants and six EEG data-driven components were extracted—three components in the alpha range (peaking at 9, 10.5, and 11.5 Hz) and one each in the delta (peaking at 0.5 Hz), theta (peaking at 5.5 Hz) and beta (peaking at 17 Hz) ranges. Bayesian Pearson’s correlation revealed a positive association between the individual loadings of the theta component and ratings for Sleepiness (r = 0.200, BF<sub>10</sub> = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF<sub>10</sub> = 7.115). Our study indicates the relevance of assessments of spontaneous thought occurring during the resting-state for the understanding of the individual intrinsic electrical brain activity.https://www.mdpi.com/2075-4426/12/6/896EEGindividual differencessubjective experiencefrequency principal component analysisf-PCA |
| spellingShingle | Povilas Tarailis Frances M. De Blasio Dovile Simkute Inga Griskova-Bulanova Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State Journal of Personalized Medicine EEG individual differences subjective experience frequency principal component analysis f-PCA |
| title | Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State |
| title_full | Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State |
| title_fullStr | Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State |
| title_full_unstemmed | Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State |
| title_short | Data-Driven EEG Theta and Alpha Components Are Associated with Subjective Experience during Resting State |
| title_sort | data driven eeg theta and alpha components are associated with subjective experience during resting state |
| topic | EEG individual differences subjective experience frequency principal component analysis f-PCA |
| url | https://www.mdpi.com/2075-4426/12/6/896 |
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