Hidden Rhythms of a Developing Brain: Multimetric rs‐fMRI Insights Into Typical Youth Maturation

Understanding functional brain development during childhood and adolescence is essential for identifying typical neurodevelopmental trajectories. While resting-state fMRI (rs-fMRI) has become a key tool in developmental neuroscience, few studies have jointly examined multiple functional metrics to comprehensively characterize typical brain maturation across youth. We analyzed rs-fMRI data from 395 neurotypical participants aged 6-20 years from the ABIDE I and II datasets. Voxel-wise analyses were conducted using three complementary rs-fMRI metrics: fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo), and voxel-mirrored homotopic connectivity (VMHC). Data were harmonized across sites using ComBat and CovBat methods implemented in DPABI to minimize scanner-related variability. Correlation analyses and ANOVA/ANCOVAs were performed to examine developmental age effects. Our results revealed a general pattern of declining local and interhemispheric connectivity with increasing age, across all measures. fALFF decreases were most pronounced in the medial orbitofrontal, caudate, medial occipital cortex, and cerebellum (peak r = -0.210); ReHo showed reductions in the insula and caudate (peak r = -0.169); and VMHC declines were observed in the putamen, cerebellum, superior parietal lobules, and caudate (peak r range = -0.206 to -0.187). These findings outline a developmental trajectory characterized by increasing functional integration and network specialization from late childhood through adolescence. The combined use of fALFF, ReHo, and VMHC provides a robust multitechnical framework for characterizing typical brain development and offers a valuable benchmark for identifying developmental deviations in clinical populations.

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Publication Details

Journal
Human Brain Mapping
Published
2025-08-29
DOI
https://doi.org/10.1002/hbm.70320
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Hidden Rhythms of a Developing Brain: Multimetric rs‐fMRI Insights Into Typical Youth Maturation

Maribel Peró, Cristina Cañete‐Massé, Raquel Cosío‐Guirado, Erwin Rogelio Villuendas‐González et al.
Human Brain Mapping
Functional Brain Connectivity Studies
article

Hidden Rhythms of a Developing Brain: Multimetric rs‐fMRI Insights Into Typical Youth Maturation

Maribel Peró, Cristina Cañete‐Massé, Raquel Cosío‐Guirado, Erwin Rogelio Villuendas‐González, Joan Guàrdia‐Olmos, Merida Galilea Tapia‐Medina
article en

Abstract

Understanding functional brain development during childhood and adolescence is essential for identifying typical neurodevelopmental trajectories. While resting-state fMRI (rs-fMRI) has become a key tool in developmental neuroscience, few studies have jointly examined multiple functional metrics to comprehensively characterize typical brain maturation across youth. We analyzed rs-fMRI data from 395 neurotypical participants aged 6-20 years from the ABIDE I and II datasets. Voxel-wise analyses were conducted using three complementary rs-fMRI metrics: fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo), and voxel-mirrored homotopic connectivity (VMHC). Data were harmonized across sites using ComBat and CovBat methods implemented in DPABI to minimize scanner-related variability. Correlation analyses and ANOVA/ANCOVAs were performed to examine developmental age effects. Our results revealed a general pattern of declining local and interhemispheric connectivity with increasing age, across all measures. fALFF decreases were most pronounced in the medial orbitofrontal, caudate, medial occipital cortex, and cerebellum (peak r = -0.210); ReHo showed reductions in the insula and caudate (peak r = -0.169); and VMHC declines were observed in the putamen, cerebellum, superior parietal lobules, and caudate (peak r range = -0.206 to -0.187). These findings outline a developmental trajectory characterized by increasing functional integration and network specialization from late childhood through adolescence. The combined use of fALFF, ReHo, and VMHC provides a robust multitechnical framework for characterizing typical brain development and offers a valuable benchmark for identifying developmental deviations in clinical populations.

Human Brain MappingVol. 46(13)
Universidad Michoacana de San Nicolás de Hidalgo (MX), Universitat de Barcelona (ES)
Ministerio de Ciencia, Innovación y Universidades, Agència de Gestió d'Ajuts Universitaris i de Recerca, Agencia Estatal de Investigación, European Social Fund
Openalex Percentile: Top 77%
Functional Brain Connectivity Studies
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