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Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias.
https://repo.qst.go.jp/records/75796
https://repo.qst.go.jp/records/75796dfc359d0-a25f-4e72-9d90-be75729258bf
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2019-05-13 | |||||
| タイトル | ||||||
| タイトル | Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias. | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Yamashita, Ayumu
× Yamashita, Ayumu× Yahata, Noriaki× Itahashi, Takashi× Lisi, Giuseppe× Yamada, Takashi× Ichikawa, Naho× Takamura, Masahiro× Yoshihara, Yujiro× Kunimatsu, Akira× Okada, Naohiro× Yamagata, Hirotaka× Matsuo, Koji× Hashimoto, Ryuichiro× Okada, Go× Sakai, Yuki× Morimoto, Jun× Narumoto, Jin× Shimada, Yasuhiro× Kasai, Kiyoto× Kato, Nobumasa× Takahashi, Hidehiko× Okamoto, Yasumasa× C Tanaka, Saori× Kawato, Mitsuo× Yamashita, Okito× Imamizu, Hiroshi× Yahata, Noriaki |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | When collecting large amounts of 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 a barrier when acquiring multisite neuroimaging data. We utilized a traveling-subject dataset in conjunction with a multisite, multidisorder dataset to demonstrate that site differences are composed of biological sampling bias and engineering measurement bias. The effects on resting-state functional MRI connectivity based on pairwise correlations because of both bias types were greater than or equal to psychiatric disorder differences. Furthermore, our findings indicated that each site can sample only from a subpopulation of participants. This result suggests that it is essential to collect large amounts of 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 a traveling-subject dataset and achieved the reduction of the measurement bias by 29% and improvement of the signal-to-noise ratios by 40%. Our results provide fundamental knowledge regarding site effects, which is important for future research using multisite, multidisorder resting-state functional MRI data. | |||||
| 書誌情報 |
PLoS biology 巻 17, 号 4, p. e3000042, 発行日 2019-04 |
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| 出版者 | ||||||
| 出版者 | Public Library of Science | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1544-9173 | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 30998673 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1371/journal.pbio.3000042 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000042 | |||||
