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Brief Communications

Efficiency of Functional Brain Networks and Intellectual Performance

Martijn P. van den Heuvel, Cornelis J. Stam, René S. Kahn and Hilleke E. Hulshoff Pol
Journal of Neuroscience 10 June 2009, 29 (23) 7619-7624; DOI: https://doi.org/10.1523/JNEUROSCI.1443-09.2009
Martijn P. van den Heuvel
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Cornelis J. Stam
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René S. Kahn
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Hilleke E. Hulshoff Pol
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    Figure 1.

    a, b, The results of the group averaged characteristic path length L and Lrandom (a) and the results of clustering coefficient C and Crandom (b) for cutoff thresholds 0.05 ≤ T ≤ 0.5. Lrandom and Crandom reflect the characteristic path length and clustering coefficient of a comparable random network. L was found to be ∼ Lrandom for T ≤ 0.5, and C was found to be >Crandom for T ≥ 0.3 (2-sample t test, df = 36, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T). c, d, Matching λ (L/Lrandom) and γ (C/Crandom) values for all T. The functional brain networks showed a clear small-world organization, expressed by λ ≈ 1 (c) and γ ≫ 1 (d) for T ≥ 0.3 (1-sample t test, df = 18, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T).

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    Figure 2.

    For networks within the small-world range (T = 0.45, T = 0.50), the normalized characteristic path length λ was found to be negatively correlated with IQ, as shown in a and b [linear regression, df = 18; T = 0.45, r = −0.54, p = 0.010 (a); T = 0.5, r = −0.57, p = 0.017 (b), corrected for age]. IQ was not significantly associated with the normalized clustering coefficient γ (c and d for T = 0.45 and T = 0.5 respectively, corrected for age). The negative association between λ and IQ suggests a strong positive association between the level of global communication efficiency within the brain network and intelligence.

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    Figure 3.

    Most prominent effects between IQ and the level of global connectivity efficiency (as expressed by a shorter node specific normalized path length) were found in the medial prefrontal cortex (yellow box), bilateral inferior parietal cortex (red box depicts effect in right hemisphere), and precuneus/posterior cingulate regions (orange box) of the functional brain network. Shown are correlation coefficient values of those voxels that had a significant negative association between IQ and normalized path length for T = 0.45 (linear regression, p < 0.05 uncorrected for multiple comparisons, df = 18, corrected for age).

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    Table 1.

    Demographic and IQ data

    CategoryData
    Gender (male/female)14/5
    Age, years29 ± 7.8
    Full-scale IQ121 ± 11.9
    Verbal IQ121 ± 9.5
    Verbal comprehension index119 ± 9.5
    Working memory index117 ± 11.9
    Performance IQ117 ± 12.6
    Perceptual organization index115 ± 11.2
    Processing speed index112 ± 15.1
    • Age and IQ scores are displayed as mean ± SD.

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    Table 2.

    Correlations between IQ scores

    FIQVIQPIQVCIWMIPOI
    VIQ0.91
    PIQ0.910.66
    VCI0.750.880.52
    WMI0.720.670.610.36
    POI0.780.570.840.530.51
    PSI0.630.530.650.410.390.40
    • VCI, Verbal comprehension index; WMI, working memory index; PSI, processing speed index.

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    • supplemental material - Figure 1
    • supplemental material - Figure 2
    • supplemental material - Figure 3
    • supplemental material - Figure 4
    • supplemental material - Figure 5
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The Journal of Neuroscience: 29 (23)
Journal of Neuroscience
Vol. 29, Issue 23
10 Jun 2009
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Efficiency of Functional Brain Networks and Intellectual Performance
Martijn P. van den Heuvel, Cornelis J. Stam, René S. Kahn, Hilleke E. Hulshoff Pol
Journal of Neuroscience 10 June 2009, 29 (23) 7619-7624; DOI: 10.1523/JNEUROSCI.1443-09.2009

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Efficiency of Functional Brain Networks and Intellectual Performance
Martijn P. van den Heuvel, Cornelis J. Stam, René S. Kahn, Hilleke E. Hulshoff Pol
Journal of Neuroscience 10 June 2009, 29 (23) 7619-7624; DOI: 10.1523/JNEUROSCI.1443-09.2009
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