Spatiotemporal complexity patterns of resting-state bioelectrical activity explain fluid intelligence: sex matters
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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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Evidence on the exact nature of the relationship between intelligence and complexity measures is currently mixed.
“Evidence on the exact nature of the relationship between intelligence and complexity measures is currently mixed ( Saxe et al., 2018 ; Dreszer et al., 2020 ; Wang, 2021 ; Thiele et al., 2023 ).”
From What does it mean for consciousness to be multidimensional? A narrative review (2024) · cites this paper as Dreszer et al., 2020
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- Authors
- Dreszer, J., Grochowski, M., Lewandowska, M., Nikadon, J., Gorgol, J., Bałaj, B., Finc, K., Duch, W., Kałamała, P., Chuderski, A., & Piotrowski, T.
- Affiliations
- Nicolaus Copernicus University (PL)
- University of Warsaw (PL)
- Jagiellonian University (PL)
- Corresponding author
- Dreszer, Joanna
- ORCID
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2020-08-18
- Volume
- 41
- Issue
- 17
- Pages
- 4846-4865
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC7643359
- OpenAlex
- W3071159487
- Cited by
- 23
- References
- 142
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 5 · 2023: 7 · 2022: 2 · 2020: 1
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Human Brain Mapping (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Jagiellonian University Repository (Jagiellonian University) (submittedVersion, cc-by-nc-nd)
- Funders
- Narodowe Centrum Nauki (2016/20/W/NZ4/00354, 2019/33/B/HS6/00321, 2015/18/E/HS6/00399)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- fluid intelligence, resting-state EEG, neural complexity, multiscale sample entropy, sex differences, frontoparietal network, parietal region, processing efficiency, spatiotemporal complexity
- MeSH terms
- Adolescent, Adult, Cerebral Cortex, Female, Humans, Intelligence, Male, Models, Theoretical, Sex Characteristics, Young Adult, Brain Waves, Connectome
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