Bagging improves reproducibility of functional parcellation of the human brain

Aki Nikolaidis; Anibal Solon Heinsfeld; Ting Xu; Pierre Bellec; Joshua Vogelstein; Michael Milham

doi:10.1016/j.neuroimage.2020.116678

Increasing the reproducibility of neuroimaging measurement addresses a central impediment to the advancement of human neuroscience and its clinical applications. Recent efforts demonstrating variance in functional brain organization within and between individuals shows a need for improving reproducibility of functional parcellations without long scan times. We apply bootstrap aggregation, or bagging, to the problem of improving reproducibility in functional parcellation. We use two large

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... s to demonstrate that compared to a standard clustering framework, bagging improves the reproducibility and test-retest reliability of both cortical and subcortical functional parcellations across a range of sites, scanners, samples, scan lengths, clustering algorithms, and clustering parameters (e.g., number of clusters, spatial constraints). With as little as 6 min of scan time, bagging creates more reproducible group and individual level parcellations than standard approaches with twice as much data. This suggests that regardless of the specific parcellation strategy employed, bagging may be a key method for improving functional parcellation and bringing functional neuroimaging-based measurement closer to clinical impact.

<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2020.116678">doi:10.1016/j.neuroimage.2020.116678</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32119986">pmid:32119986</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7302537/">pmcid:PMC7302537</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pcn762ujzndffeosffh6425yhm">fatcat:pcn762ujzndffeosffh6425yhm</a> </span>

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Bagging improves reproducibility of functional parcellation of the human brain

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