Functional brain hubs are related to age: a primer study with rs-fMRI

• María D. Figueroa-Jiménez ^[1] ; Cristina Cañete-Massé ^[2] ; Esteve Gudayol-Ferre ^[3] ; Geisa B. Gallardo-Moreno ^[1] ; Maribel Peró-Cebollero ^[2] ; Joan Guàrdia-Olmos ^[2]
  1. [1] Universidad de Guadalajara

     Universidad de Guadalajara

     México

     
  2. [2] Universitat de Barcelona

     Universitat de Barcelona

     Barcelona, España

     
  3. [3] Universidad Michoacana de San Nicolás de Hidalgo

     Universidad Michoacana de San Nicolás de Hidalgo

     México

     

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• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 24, Nº. 4, 2024, págs. 121-130
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2024.100517
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• Resumen

  • Background/Objective Research on the ontogenetic development of brain networks using resting state has shown to be useful for understanding age-associated changes in brain connectivity. This work aimed to analyze the relationship between brain connectivity, age and intelligence.

    Methods A sample of 26 children and adolescents between 6 and 18 years of both sexes underwent a resting-state functional magnetic resonance imaging study. We estimated the values of fractional Amplitude low-frequency fluctuations (fALFF) and the values of Regional homogeneity (ReHo) in a voxelwise analysis to later correlate them with age and intelligence quotient (IQ).

    Results No significant correlations were found with IQ, but it was found that the fALFF values of the left precentral cortex (premotor cortex and supplementary motor area), as well as the ReHo values of the medial frontal gyrus, and the precentral cortex of the left hemisphere, correlate with age. Conclusions: Hubs related to various “task positive” networks closely related to cognitive functioning would present a development more related to age and relatively independent of individual differences in intelligence. These findings suggest that the premotor cortex and supplementary motor cortex could be a cortical hub that develops earlier than previously reported and that it would be more related to age than to intelligence level.

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