Cited by 1,078Functional Brain Connectivity StudiesComplex Network Analysis TechniquesAdvanced Neuroimaging Techniques and Applications

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Efficiency of Functional Brain Networks and Intellectual Performance

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van den Heuvel, M. P., Stam, C. J., Kahn, R. S., Hulshoff Pol, H. E.·2009·Journal of Neuroscience

DOI 10.1523/jneurosci.1443-09.2009PMC PMC6665421

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Abstract

Our brain is a complex network in which information is continuously processed and transported between spatially distributed but functionally linked regions. Recent studies have shown that the functional connections of the brain network are organized in a highly efficient small-world manner, indicating a high level of local neighborhood clustering, together with the existence of more long-distance connections that ensure a high level of global communication efficiency within the overall network. Such an efficient network architecture of our functional brain raises the question of a possible association between how efficiently the regions of our brain are functionally connected and our level of intelligence. Examining the overall organization of the brain network using graph analysis, we show a strong negative association between the normalized characteristic path length lambda of the resting-state brain network and intelligence quotient (IQ). This suggests that human intellectual performance is likely to be related to how efficiently our brain integrates information between multiple brain regions. Most pronounced effects between normalized path length and IQ were found in frontal and parietal regions. Our findings indicate a strong positive association between the global efficiency of functional brain networks and intellectual performance.

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Authors: van den Heuvel, M. P., Stam, C. J., Kahn, R. S., & Hulshoff Pol, H. E.
Affiliations: University Medical Center Utrecht (NL)
ORCID: Stam, C. J.
Kahn, R. S.
Venue: Journal of Neuroscience
Publisher: Society for Neuroscience
Published: 2009-06-10
Volume: 29
Issue: 23
Pages: 7619-7624
ISSN: 0270-6474 (ISSN-L)
1529-2401
DOI: 10.1523/jneurosci.1443-09.2009
PMC: PMC6665421
OpenAlex: W2165985389
Cited by: 1,078
References: 42
Citations by year: 2026: 33 · 2025: 39 · 2024: 42 · 2023: 40 · 2022: 51 · 2021: 69 · 2020: 74 · 2019: 68 · 2018: 61 · 2017: 85 · 2016: 85 · 2015: 94 · 2014: 72 · 2013: 96 · 2012: 74
FWCI: 27.19
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Journal of Neuroscience (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Pure Amsterdam UMC (submittedVersion, other-oa)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: functional brain networks, small-world networks, global efficiency, average path length, intelligence quotient, resting-state functional connectivity, graph theory, frontal cortex, parietal cortex, information integration
MeSH terms: Adult, Brain, Female, Humans, Intelligence, Intelligence Tests, Magnetic Resonance Imaging, Male, Neural Pathways, Cluster Analysis, Linear Models

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Efficiency of Functional Brain Networks and Intellectual Performance

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