Critical Dynamics in the Association Cortex Predict Higher Intelligence in Typically Developing Children
- Gianina Cristian1,2,3,4,5,
- Cece C. Kooper6,7,
- Arthur-Ervin Avramiea3,8,
- Jennifer R. Ramautar3,4,5,9,
- Jordache Ramjith2,10,
- Shilpa Anand3,4,5,
- Marsh Königs6,7,
- Gert Jan van der Wilt1,2,*,
- Hilgo Bruining3,4,5,9,*, and
- Klaus Linkenkaer-Hansen3,8,*
- 1Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6500 HD, The Netherlands
- 2IQ Health, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands
- 3N=You Neurodevelopmental Precision Center, Amsterdam Neuroscience, Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam 1105 AZ, The Netherlands
- 4Child and Adolescent Psychiatry and Psychosocial Care, Emma Children’s Hospital, Amsterdam UMC, VU University Amsterdam, Amsterdam 1105 AZ, The Netherlands
- 5Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam 1007 MB, The Netherlands
- 6Amsterdam Reproduction and Development Research Institute, Amsterdam 1105 AZ, The Netherlands
- 7Department of Pediatrics, Follow-Me program & Emma Neuroscience Group, Emma Children’s Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam 1105 AZ, The Netherlands
- 8Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam 1081 HV, The Netherlands
- 9Emma Center for Personalized Medicine, Amsterdam UMC, Amsterdam 1105 AZ, The Netherlands
- 10Department of Medical Microbiology, Radboud University Nijmegen Medical Center, Nijmegen 6525 GA, The Netherlands
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Author contributions: G.C., G.J.v.W., H.B., and K.L-H. designed research; G.C., C.C.K., J.R.R., and M.K. performed research; A-E.A., J.R., S.A., and K.L.-H. contributed unpublished reagents/analytic tools; G.C., C.C.K., and J.R.R. analyzed data; G.C. and K.L-H. wrote the paper.
Abstract
Neuronal network models have indicated that the so-called critical dynamics facilitate efficient information processing, while criticality disruptions were linked to neuropathology through excitation/inhibition (E/I) imbalances. However, there is limited empirical evidence for a relationship between critical brain dynamics and cognition in healthy children and adolescents. Here, we investigate how these dynamics relate to intelligence in a developing cohort. We recorded eyes-open resting EEG in 128 children (6–19 years, 72 female) and quantified near-critical dynamics in the alpha-band using functional excitation/inhibition ratio (fE/I) and in nonoscillatory activity using the 1/f aperiodic exponent of the power spectrum. We devised models relating intelligence to fE/I and 1/f exponent across seven Yeo7 functional brain networks ranked from lower-order sensorimotor to higher-order association networks. We observed significant correlations between fE/I and 1/f exponent and IQ in association cortices, in contrast to sensorimotor cortices. Children in the high-IQ group had fE/I ratios closer to the theoretical critical value of 1 in association cortices compared with the low-IQ group. The association–sensorimotor axis rank moderated the associations between 1/f exponent and IQ, these associations decreasing on a gradient across the hierarchy of the Yeo7 networks. Age and rank moderated the fE/I–IQ association, with the association–sensorimotor effect size gradient most visible in adolescents. Together, the results suggest that individual variation in criticality-sensitive biomarkers in association networks may be linked to IQ differences in an age-dependent manner, consistent with the hypothesis that developmental modulation of critical dynamics across the cortical hierarchy may support more efficient cognitive processing.
- cognition
- criticality
- electroencephalography
- excitation–inhibition balance
- intelligence
- neurodevelopment
- Received July 21, 2025.
- Revision received December 1, 2025.
- Accepted January 25, 2026.
- Copyright © 2026 Cristian et al.
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