Christoph Fruehlinger, Katharina Paul, Corinna Kührt, Jan Wacker
{"title":"从静息状态脑电图中可以预测睡意,但既不能预测流体智力,也不能预测结晶智力——来自CoScience脑电图人格项目的证据。","authors":"Christoph Fruehlinger, Katharina Paul, Corinna Kührt, Jan Wacker","doi":"10.3758/s13415-025-01323-y","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50672,"journal":{"name":"Cognitive Affective & Behavioral Neuroscience","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sleepiness but neither fluid nor crystallized intelligence can be predicted from resting-state electroencephalography - Evidence from the large scale CoScience EEG-Personality Project.\",\"authors\":\"Christoph Fruehlinger, Katharina Paul, Corinna Kührt, Jan Wacker\",\"doi\":\"10.3758/s13415-025-01323-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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. 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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 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.
期刊介绍:
Cognitive, Affective, & Behavioral Neuroscience (CABN) offers theoretical, review, and primary research articles on behavior and brain processes in humans. Coverage includes normal function as well as patients with injuries or processes that influence brain function: neurological disorders, including both healthy and disordered aging; and psychiatric disorders such as schizophrenia and depression. CABN is the leading vehicle for strongly psychologically motivated studies of brain–behavior relationships, through the presentation of papers that integrate psychological theory and the conduct and interpretation of the neuroscientific data. The range of topics includes perception, attention, memory, language, problem solving, reasoning, and decision-making; emotional processes, motivation, reward prediction, and affective states; and individual differences in relevant domains, including personality. Cognitive, Affective, & Behavioral Neuroscience is a publication of the Psychonomic Society.