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Neural complexity is thought to be associated with efficient information processing but the exact nature of this relation remains unclear. Here, the relationship of fluid intelligence (gf) with the resting‐state EEG (rsEEG) complexity over different timescales and different electrodes was investigated. A 6‐min rsEEG blocks of eyes open were analyzed. The results of 119 subjects (57 men, mean age = 22.85 ± 2.84 years) were examined using multivariate multiscale sample entropy (mMSE) that quantifies changes in information richness of rsEEG in multiple data channels at fine and coarse timescales. gf factor was extracted from six intelligence tests. Partial least square regression analysis revealed that mainly predictors of the rsEEG complexity at coarse timescales in the frontoparietal network (FPN) and the temporo‐parietal complexities at fine timescales were relevant to higher gf. Sex differently affected the relationship between fluid intelligence and EEG complexity at rest. In men, gf was mainly positively related to the complexity at coarse timescales in the FPN. Furthermore, at fine and coarse timescales positive relations in the parietal region were revealed. In women, positive relations with gf were mostly observed for the overall and the coarse complexity in the FPN, whereas negative associations with gf were found for the complexity at fine timescales in the parietal and centro‐temporal region. These outcomes indicate that two separate time pathways (corresponding to fine and coarse timescales) used to characterize rsEEG complexity (expressed by mMSE features) are beneficial for effective information processing.

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Background. Previous studies carried out in different countries indicated that young adults experience higher levels of depressive and anxiety symptoms than older age groups during the COVID-19 pandemic. However, little is known about which epidemic-related difficulties and factors may contribute to these forms of emotional distress in various age groups. Purpose. The aim of the current study was to investigate: (i) differences in levels of depressive and generalized anxiety symptoms, as well as perceived difficulties related to pandemic across four age groups in the Polish population; (ii) which factors and difficulties related to pandemic are predictors of generalized anxiety and depressive symptoms in various age groups during the COVID-19 lockdown. Method. A total of 1115 participants (aged 18-85) took part in the study. The group was a representative sample of the Polish population in terms of sex, age, and place of residence. Participants completed online: The Patient Health Questionnaire-9, The Generalized Anxiety Disorder-7, Scale of Perceived Health and Life Risk of COVID-19, Social Support Sale, Scale of Epidemic-Related Difficulties. Results. Younger age groups (18-29 and 30-44) experienced higher levels of depressive and generalized anxiety symptoms than older adults (45-59 and 60-85 years). Difficulties in relationships and at home were amongst the strongest predictors of depressive and generalized anxiety symptoms in all age groups. Fear and uncertainty related to the spread of the virus were one of the most important predictors of emotional distress in all the groups apart from the adults between 18-29 years, whereas difficulties related to external restrictions were one of the most significant predictors of depressive and anxiety symptoms only in the youngest group. Conclusions. Our results indicate that the youngest adults and those experiencing difficulties in relationships among household members were the most vulnerable to depressive and generalized anxiety symptoms during the COVID-19 lockdown. Thus, it is important to plan preventive and therapeutic interventions to support these at-risk individuals in dealing with the challenges related to the COVID-19 pandemic.

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