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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

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 ; Tanaka, Saori C ; Kawato, Mitsuo ; Yamashita, Okito ; Imamizu, Hiroshi Macleod, Malcolm R.

PLoS Biology, 2019-04, Vol.17 (4), p.e3000042-e3000042 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Autor: 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 ; Tanaka, Saori C ; Kawato, Mitsuo ; Yamashita, Okito ; Imamizu, Hiroshi
Macleod, Malcolm R.
Assuntos: Adult ; Autism ; Bias ; Biological sampling ; Biology and Life Sciences ; Brain - physiopathology ; Brain Mapping - methods ; Brain research ; Communication research ; Computer and Information Sciences ; Data acquisition ; Data Analysis ; Databases, Factual ; Datasets ; Developmental disabilities ; Diagnostic imaging ; Engineering and Technology ; Female ; Functional magnetic resonance imaging ; Humans ; Image acquisition ; Information communication ; Laboratories ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medical research ; Medicine ; Medicine and Health Sciences ; Mental disorders ; Meta ; Methods ; Middle Aged ; Neural networks ; Neural Pathways - physiopathology ; Neuroimaging ; Neuroimaging - methods ; Neurology ; Neurosciences ; NMR ; Novels ; Nuclear magnetic resonance ; Psychiatry ; Reproducibility of Results ; Research and Analysis Methods ; Sampling ; Schizophrenia ; Selection Bias ; Signal-To-Noise Ratio ; Social Sciences ; Studies ; Supervision ; Telephone companies ; University graduates
É parte de: PLoS Biology, 2019-04, Vol.17 (4), p.e3000042-e3000042
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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I have read the journal's policy and the authors of this manuscript have the following competing interests: M.K., J.M., N.Y., R.H., H.I., N.K., and K.K. are inventors of a patent owned by Advanced Telecommunications Research (ATR) Institute International related to the present work (PCT/JP2014/061543 [WO2014178322]). J.M., M.K., N.Y., R.H., N.K., and K.K. are inventors of a patent owned by ATR Institute International related to the present work (PCT/JP2014/061544 [WO2014178323]). G.L., J.M., M.K., and N.Y. are inventors of a patent application submitted by ATR Institute International related to the present work (JP2015-228970). A.Y., O.Y., and M.K. are inventors of a patent application submitted by ATR Institute International related to the present work (JP2018-192842).
Descrição: 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.
Editor: United States: Public Library of Science
Idioma: Inglês

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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

United States: Public Library of Science

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