Journal article
Decoding personality trait measures from resting EEG: An exploratory report
Hayley K Jach, Daniel Feuerriegel, Luke D Smillie
Cortex | ELSEVIER MASSON, CORP OFF | Published : 2020
Abstract
Can personality be predicted from oscillatory patterns produced by the brain at rest? To date, relatively few studies using electroencephalography (EEG) have yielded consistent relations between personality trait measures and spectral power. Thus, new exploratory research may help develop targeted hypotheses about how neural processes associated with EEG activity may relate to personality differences. We used multivariate pattern analysis to decode personality scores (i.e., Big Five traits) from resting EEG frequency power spectra. Up to 8 minutes of EEG data was recorded per participant prior to completing an unrelated task (N = 168, Mage = 23.51, 57% female) and, in a subset of participant..
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Funding Acknowledgements
Funding in support of this project was provided by the Melbourne School of Psychological Sciences. Hayley Jach was supported by an Australian Government Research Training Program Scholarship. We are grateful to Felix Singleton-Thorn for his helpful comments on an earlier version of this manuscript, and for providing guidance regarding open analysis code and materials. We are also grateful to Andrea Byfuglien for providing assistance with processing of EEG data.