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Resting state fMRI scanner instabilities revealed by longitudinal phantom scans in a multi-center study.
Kayvanrad, Aras; Arnott, Stephen R; Churchill, Nathan; Hassel, Stefanie; Chemparathy, Aditi; Dong, Fan; Zamyadi, Mojdeh; Gee, Tom; Bartha, Robert; Black, Sandra E; Lawrence-Dewar, Jane M; Scott, Christopher J M; Symons, Sean; Davis, Andrew D; Hall, Geoffrey B; Harris, Jacqueline; Lobaugh, Nancy J; MacQueen, Glenda; Woo, Cindy; Strother, Stephen.
Afiliación
  • Kayvanrad A; Rotman Research Institute, University of Toronto, Toronto, ON, Canada. Electronic address: mkayvanr@alumni.uwo.ca.
  • Arnott SR; Rotman Research Institute, University of Toronto, Toronto, ON, Canada. Electronic address: sarnott@research.baycrest.org.
  • Churchill N; Neuroscience Research Program, St. Michael's Hospital, Toronto, ON, Canada. Electronic address: nchurchill.research@gmail.com.
  • Hassel S; The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. Electronic address: shassel@ucalgary.ca.
  • Chemparathy A; Rotman Research Institute, University of Toronto, Toronto, ON, Canada. Electronic address: aditi.chemparathy@gmail.com.
  • Dong F; Indoc Research, Toronto, ON, Canada. Electronic address: fdong@indocresearch.org.
  • Zamyadi M; Rotman Research Institute, University of Toronto, Toronto, ON, Canada. Electronic address: mzamyadi@research.baycrest.org.
  • Gee T; Indoc Research, Toronto, ON, Canada. Electronic address: tgee@indocresearch.org.
  • Bartha R; Robarts Research Institute, Western University, London, ON, Canada; Medical Biophysics, Western University, London, ON, Canada. Electronic address: rbartha@robarts.ca.
  • Black SE; Sunnybrook Research Institute, Toronto, ON, Canada. Electronic address: sandra.black@sunnybrook.ca.
  • Lawrence-Dewar JM; Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada. Electronic address: dewarja@tbh.net.
  • Scott CJM; Sunnybrook Research Institute, Toronto, ON, Canada. Electronic address: christopher.scott@sunnybrook.ca.
  • Symons S; Sunnybrook Research Institute, Toronto, ON, Canada. Electronic address: Sean.Symons@sunnybrook.ca.
  • Davis AD; Rotman Research Institute, University of Toronto, Toronto, ON, Canada; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada. Electronic address: adavis@research.baycrest.org.
  • Hall GB; Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada. Electronic address: hallg@mcmaster.ca.
  • Harris J; Depatment of Computing Science, University of Alberta, Edmonton, AB, Canada. Electronic address: jkh@ualberta.ca.
  • Lobaugh NJ; Center for Addiction and Mental Health, Toronto, ON, Canada. Electronic address: nancy.j.lobaugh@gmail.com.
  • MacQueen G; The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada.
  • Woo C; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
  • Strother S; Rotman Research Institute, University of Toronto, Toronto, ON, Canada; Medical Biophysics, University of Toronto, Toronto, ON, Canada. Electronic address: sstrother@research.baycrest.org.
Neuroimage ; 237: 118197, 2021 08 15.
Article en En | MEDLINE | ID: mdl-34029737
Quality assurance (QA) is crucial in longitudinal and/or multi-site studies, which involve the collection of data from a group of subjects over time and/or at different locations. It is important to regularly monitor the performance of the scanners over time and at different locations to detect and control for intrinsic differences (e.g., due to manufacturers) and changes in scanner performance (e.g., due to gradual component aging, software and/or hardware upgrades, etc.). As part of the Ontario Neurodegenerative Disease Research Initiative (ONDRI) and the Canadian Biomarker Integration Network in Depression (CAN-BIND), QA phantom scans were conducted approximately monthly for three to four years at 13 sites across Canada with 3T research MRI scanners. QA parameters were calculated for each scan using the functional Biomarker Imaging Research Network's (fBIRN) QA phantom and pipeline to capture between- and within-scanner variability. We also describe a QA protocol to measure the full-width-at-half-maximum (FWHM) of slice-wise point spread functions (PSF), used in conjunction with the fBIRN QA parameters. Variations in image resolution measured by the FWHM are a primary source of variance over time for many sites, as well as between sites and between manufacturers. We also identify an unexpected range of instabilities affecting individual slices in a number of scanners, which may amount to a substantial contribution of unexplained signal variance to their data. Finally, we identify a preliminary preprocessing approach to reduce this variance and/or alleviate the slice anomalies, and in a small human data set show that this change in preprocessing can have a significant impact on seed-based connectivity measurements for some individual subjects. We expect that other fMRI centres will find this approach to identifying and controlling scanner instabilities useful in similar studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Garantía de la Calidad de Atención de Salud / Imagen por Resonancia Magnética / Estudios Multicéntricos como Asunto / Neuroimagen Funcional Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Límite: Adult / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Garantía de la Calidad de Atención de Salud / Imagen por Resonancia Magnética / Estudios Multicéntricos como Asunto / Neuroimagen Funcional Tipo de estudio: Clinical_trials / Observational_studies / Prognostic_studies Límite: Adult / Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos