Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

• 吉原, 雄二郎

• 高橋, 英彦

• 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

• Tanaka, Saori C.

• Kawato, Mitsuo

• Yamashita, Okito

• Imamizu, Hiroshi

• Malcolm R. Macleod

  editor

抄録

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.

収録刊行物

• PLOS Biology

  PLOS Biology 17 (4), e3000042-, 2019-04-18

  Public Library of Science (PLoS)

キーワード

• General Agricultural and Biological Sciences
• General Immunology and Microbiology
• General Biochemistry, Genetics and Molecular Biology
• General Neuroscience

詳細情報

• CRID: 1050001339067046016
• NII論文ID: 120006734932
• ISSN: 15449173
• ISSN: 15457885
• DOI: 10.1371/journal.pbio.3000042
• HANDLE: 2433/245044
• Web Site: http://ir.lib.hiroshima-u.ac.jp/00048223
• Web Site: http://dx.plos.org/10.1371/journal.pbio.3000042
• 本文言語コード: en
• 資料種別: journal article
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