Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Yamashita A

PROVIDER: S-EPMC6472734 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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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 A Yahata Noriaki N Itahashi Takashi T Lisi Giuseppe G Yamada Takashi T Ichikawa Naho N Takamura Masahiro M Yoshihara Yujiro Y Kunimatsu Akira A Okada Naohiro N Yamagata Hirotaka H Matsuo Koji K Hashimoto Ryuichiro R Okada Go G Sakai Yuki Y Morimoto Jun J Narumoto Jin J Shimada Yasuhiro Y Kasai Kiyoto K Kato Nobumasa N Takahashi Hidehiko H Okamoto Yasumasa Y Tanaka Saori C SC Kawato Mitsuo M Yamashita Okito O Imamizu Hiroshi H

PLoS biology 20190418 4

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 rest ...[more]

PMID: 30998673

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Project description:ObjectiveTo explore sampling bias as a result of survey format selection by examining associations between characteristics of people aging with long-term physical disability (PAwLTPD) and their preferences for phone or web-based survey format.DesignA cross-sectional study using a secondary data analysis approach.SettingData were from an ongoing longitudinal cohort study conducted in the community.ParticipantsConvenience sampling was used. PAwLTPD who participated in year 2 of the longitudinal cohort study were included. Inclusion criteria were age 45-65 years, English speaking, and self-reported onset of a physical disability at least 5 years prior to study recruitment. Two participants completed the survey using both phone and web formats and were thus excluded; 387 participants (N=387) were included in the analysis.InterventionsNot applicable.Main outcome measuresChoice of survey format and demographics (age, sex, race and ethnicity, marital status, living arrangement, socioeconomic status) were collected in addition to self-rated physical health.ResultsParticipants were on average 58.2±5.6 years old. A total of 33% were male, and 62% were White. Approximately 40% of participants completed phone surveys. The phone survey group was significantly older (t=-4.76, P<.001) and had lower education (U=11133, z=-6.65, P<.001) and lower self-rated physical health (U=15420, z=-2.38, P=.017) than the web survey group. Participants who were White (χ2=60.69; df=1; P<.001; odds ratio [OR], 0.18) or were in a long-term relationship were less likely to choose phone surveys (χ2=42.20; df=1; P<.001; OR, 0.21). Those who earned $10,008 or less annually (χ2=53.90; df=1; P<.001; OR, 5.22) or who lived alone (χ2=36.26; df=1; P<.001; OR, 3.64) were more likely to choose phone surveys. Participants with paid work (χ2=16.81, df=1, P<.001) tended to select web-based surveys, while those on disability leave (χ2=9.61, df=1, P<.01) were more likely to choose phone surveys.ConclusionsSociodemographics are associated with survey format choice in PAwLTPD. Findings largely support the existing understanding of digital literacy but also provide insight into the potential occurrence of sampling bias when multiple survey format options are not offered. These findings have implications for investigators who aim to reach a more representative sample of people with disabilities.

Dataset Information

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

Publications

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

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