Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
By
Ayumu Yamashita,
Noriaki Yahata,
Takashi Itahashi,
Giuseppe Lisi,
Takashi Yamada,
Naho Ichikawa,
Masahiro Takamura,
Yujiro Yoshihara,
Akira Kunimatsu,
Naohiro Okada,
Hirotaka Yamagata,
Koji Matsuo,
Ryuichiro Hashimoto,
Go Okada,
Yuki Sakai,
Jun Morimoto,
Jin Narumoto,
Yasuhiro Shimada,
Kiyoto Kasai,
Nobumasa Kato,
Hidehiko Takahashi,
Yasumasa Okamoto,
Saori C Tanaka,
Mitsuo Kawato,
Okito Yamashita,
Hiroshi Imamizu
Posted 11 Oct 2018
bioRxiv DOI: 10.1101/440875
(published DOI: 10.1371/journal.pbio.3000042)
When collecting large neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity of a single site. However, site differences represent the greatest barrier when acquiring multi-site neuroimaging data. We utilized a traveling-subject dataset in conjunction with a multi-site, multi-disorder dataset to demonstrate that site differences are composed of biological sampling bias and engineering measurement bias. Effects on resting-state functional MRI connectivity because of both bias types were greater than or equal to those because of psychiatric disorders. Furthermore, our findings indicated that each site can sample only from among a subpopulation of participants. This result suggests that it is essential to collect large neuroimaging data from as many sites as possible to appropriately estimate the distribution of the grand population. Finally, we developed a novel harmonization method that removed only the measurement bias by using traveling-subject dataset and achieved the reduction of the measurement bias by 29% and the improvement of the signal to noise ratios by 40%.
Download data
- Downloaded 667 times
- Download rankings, all-time:
- Site-wide: 46,739
- In neuroscience: 6,489
- Year to date:
- Site-wide: 87,230
- Since beginning of last month:
- Site-wide: 98,885
Altmetric data
Downloads over time
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!