| Title |
Data-driven EEG theta and alpha components are associated with subjective experience during resting state / |
| Authors |
Tarailis, Povilas ; De Blasio, Frances M ; Šimkutė, Dovilė ; Griškova-Bulanova, Inga |
| DOI |
10.3390/jpm12060896 |
| Full Text |
|
| Is Part of |
Journal of personalized medicine.. Basel : MDPI. 2022, vol. 12, iss. 6, art. no. 896, p. [1-12].. eISSN 2075-4426 |
| Keywords [eng] |
EEG ; individual differences ; subjective experience ; frequency principal component analysis ; f-PCA |
| Abstract [eng] |
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, BF10 = 7.676), while the individual loadings on one of the alpha components correlated positively with scores for Comfort (r = 0.198, BF10 = 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. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
