Sleepiness but neither fluid nor crystallized intelligence can be predicted from resting-state electroencephalography – Evidence from the large scale CoScience EEG-Personality Project.
Previous electroencephalogram (EEG) studies linked measures of spectral power under rest and fluid intelligence; however, subsequent high-powered studies challenged this relationship. The present study aimed to address previous limitations (low statistical power, lack of preregistration) and investi...
| Publicado en: | Cognitive, Affective & Behavioral Neuroscience Vol. 25; no. 6; pp. 1737 - 1751 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189291077&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189291077 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307026 NA4 jtl: Cognitive, Affective & Behavioral Neuroscience issn: 15307026 maglogo: N pubinfo: dt: Dec2025 vid: 25 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189291077 186306920 10.3758/s13415-025-01323-y 189291077 ppf: 1737 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Sleepiness but neither fluid nor crystallized intelligence can be predicted from resting-state electroencephalography – Evidence from the large scale CoScience EEG-Personality Project. aug: au: Fruehlinger, Christoph Paul, Katharina Kührt, Corinna Wacker, Jan affil: https://ror.org/00g30e956 Department of Differential Psychology and Psychological Assessment, Institute of Psychology, University of Hamburg, Von-Melle-Park-5, 20146, Hamburg, Germany sug: ab: Previous electroencephalogram (EEG) studies linked measures of spectral power under rest and fluid intelligence; however, subsequent high-powered studies challenged this relationship. The present study aimed to address previous limitations (low statistical power, lack of preregistration) and investigated the predictability of intelligence measures from resting-state EEG in the CoScience data set (N = 772). Support vector regressions were applied to analyze 8 min of resting-state EEG with eyes open and closed before and after unrelated tasks. The decoding performance between the spectral power of 59 EEG channels within 30 frequency bins and fluid and crystallized intelligence, was evaluated with a tenfold cross-validation. We could not identify any meaningful associations between resting-state EEG spectral power and either fluid or crystallized intelligence—a null finding that is unlikely to be entirely due to a relatively modest restriction of fluid intelligence variance in our student sample. Moreover, we did replicate the previously reported association between state sleepiness and theta power, attesting to the integrity of the CoScience data set. Furthermore, the decomposition of the EEG signal into its periodic and aperiodic components revealed that the aperiodic offset parameter is significantly correlated with state sleepiness, emphasizing the relevance of aperiodic signal components in understanding states of alertness versus sleepiness. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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