ArticleImaging neuroscience (Cambridge, Mass.)2024
Strategies for motion- and respiration-robust estimation of fMRI intrinsic neural timescales.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood.PLoS biology · 2026Article
- Estimating fMRI timescale maps.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
5 authors.
Funding
Abstract
Intrinsic neural timescales (INT) reflect the time window of neural integration within a brain region and can be measured via resting-state functional magnetic resonance imaging (rs-fMRI). Despite the potential relevance of INT to cognition, brain organization, and neuropsychiatric illness, the influences of physiological artifacts on rs-fMRI INT have not been systematically considered. Two artifacts, head motion and respiration, pose serious issues in rs-fMRI studies. Here, we described their impact on INT estimation and tested the ability of two denoising strategies for mitigating these artifacts, high-motion frame censoring and global signal regression (GSR). We used a subset of the Human Connectome Project Young Adult (HCP-YA) dataset with runs annotated for breathing patterns (Lynch et al., 2020) and at least one "clean" (reference) run that had minimal head motion and no respiration artifacts; other runs from the same participants (
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