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Data · dataset · 2026

<p>Relationship between ACF-sum intrinsic timescale and lag-1 temporal autocorrelation.</p>

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<p>We compared regional maps of intrinsic timescale estimated using the original ACF-sum method and lag-1 temporal autocorrelation (lag-1 TA) in HCPD. <b>(a)</b> Regional intrinsic timescale maps estimated using the two approaches were not significantly correlated. <b>(b)</b> In contrast, regional age effects (i.e., partial <i>R</i><sup>2</sup>) estimated using the two approaches were significantly correlated. Each data point in the scatter plot represents a brain region from the Schaefer 400 atlas.

The data points are colored based on their rankings on the S–A axis. <i>r</i><sub>s</sub> denotes Spearman’s rank correlation coefficient. Significance was assessed using 10,000 spin tests. Linear regression lines are added for visualization purposes only.

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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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ZivaHuboai:figshare.com:article/3402701011 d agoJSON v1
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