Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 57,910 bioRxiv papers from 266,458 authors.

Bagging Improves Reproducibility of Functional Parcellation of the Human Brain

By Aki Nikolaidis, Anibal Solon Heinsfeld, Ting Xu, Pierre Bellec, Joshua Vogelstein, Michael P Milham

Posted 11 Jun 2018
bioRxiv DOI: 10.1101/343392

Increasing the reproducibility of neuroimaging measurement addresses a central impediment to the clinical impact of human neuroscience. 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 datasets 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, and clustering parameters. With as little as six minutes of scan time bagging creates more reproducible parcellations than standard approaches with twice as much data. This suggests bagging may be a key method for improving functional parcellation and bringing functional neuroimaging-based measurement closer to clinical impact.

Download data

  • Downloaded 366 times
  • Download rankings, all-time:
    • Site-wide: 24,989 out of 57,910
    • In neuroscience: 4,211 out of 10,207
  • Year to date:
    • Site-wide: 10,727 out of 57,910
  • Since beginning of last month:
    • Site-wide: 2,668 out of 57,910

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News