Data · dataset · 2026
<p>Developmental patterns of lag-1 temporal autocorrelation in HCPD.</p>
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<p>Lag-1 temporal autocorrelation (lag-1 TA) was estimated in HCPD as a complementary measure of intrinsic timescale. <b>(a)</b> Cortical map of lag-1 TA and relationship between whole-brain average lag-1 TA and age.
Description
Each data point in the scatter plot represents an individual participant (partial <i>R</i><sup>2</sup> = 0.008, <i>p</i><sub>anova</sub> = 0.03). <b>(b)</b> Region-wise GAMs identified heterogeneous age effects (i.e., partial <i>R</i><sup>2</sup>) across cortex.
FDR-corrected maps show regions with significant age effects (<i>p</i><sub>FDR</sub> < 0.05; 28.2% of regions with significant age effects). <b>(c)</b> Age effects on lag-1 TA were not significantly associated with the S–A axis. Significance of the association between age effects and S–A axis rank was assessed using 10,000 spin tests. <i>r</i><sub>s</sub> denotes Spearman’s rank correlation coefficient. Linear regression line is added for visualization purposes only. <b>(d)</b> Regional trajectories of developmental patterns of lag-1 TA were obtained from region-wise GAM results.
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Each line corresponds to the model fit of each cortical region and is colored based on the region’s rank along the S–A axis. Data and code needed to regenerate this figure can be found at <a href="doi.org/10.5281/zenodo.22799416" target="_blank">doi.org/10.5281/zenodo.22799416</a>.</p> <p>(TIFF)</p>
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- DOI doi.org/10.1371/journal.pbio.3004037.s009 ↗
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