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  • 标题:A longitudinal multi-scanner multimodal human neuroimaging dataset
  • 本地全文:下载
  • 作者:Colin Hawco ; ErinW.Dickie ; Gabrielle Herman
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-7
  • DOI:10.1038/s41597-022-01386-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Human neuroimaging has led to an overwhelming amount of research into brain function in healthy and clinical populations. However, a better appreciation of the limitations of small sample studies has led to an increased number of multi-site, multi-scanner protocols to understand human brain function. As part of a multi-site project examining social cognition in schizophrenia, a group of “travelling human phantoms” had structural T1, difusion, and resting-state functional MRIs obtained annually at each of three sites. Scan protocols were carefully harmonized across sites prior to the study. Due to scanner upgrades at each site (all sites acquired PRISMA MRIs during the study) and one participant being replaced, the end result was 30 MRI scans across 4 people, 6 MRIs, and 4 years. This dataset includes multiple neuroimaging modalities and repeated scans across six MRIs. It can be used to evaluate diferences across scanners, consistency of pipeline outputs, or test multi-scanner harmonization approaches.
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