Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors
Studies using resting-state functional magnetic resonance imaging (rsfMRI) are increasingly collecting data at multiple sites in order to speed up recruitment or increase sample size. The main objective of this study was to assess the long-term consistency of rsfMRI connectivity maps derived at mult...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811919308018 |
| _version_ | 1818258013125869568 |
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| author | AmanPreet Badhwar Yannik Collin-Verreault Pierre Orban Sebastian Urchs Isabelle Chouinard Jacob Vogel Olivier Potvin Simon Duchesne Pierre Bellec |
| author_facet | AmanPreet Badhwar Yannik Collin-Verreault Pierre Orban Sebastian Urchs Isabelle Chouinard Jacob Vogel Olivier Potvin Simon Duchesne Pierre Bellec |
| author_sort | AmanPreet Badhwar |
| collection | DOAJ |
| description | Studies using resting-state functional magnetic resonance imaging (rsfMRI) are increasingly collecting data at multiple sites in order to speed up recruitment or increase sample size. The main objective of this study was to assess the long-term consistency of rsfMRI connectivity maps derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol (CDIP, www.cdip-pcid.ca). Nine to 10 min of functional BOLD images were acquired from an adult cognitively healthy volunteer scanned repeatedly at 13 Canadian sites on three scanner makes (General Electric, Philips and Siemens) over the course of 2.5 years. The consistency (spatial Pearson’s correlation) of rsfMRI connectivity maps for seven canonical networks ranged from 0.3 to 0.8, with a negligible effect of time, but significant site and vendor effects. We noted systematic differences in data quality (i.e. head motion, number of useable time frames, temporal signal-to-noise ratio) across vendors, which may also confound some of these results, and could not be disentangled in this sample. We also pooled the long-term longitudinal data with a single-site, short-term (1 month) data sample acquired on 26 subjects (10 scans per subject), called HNU1. Using randomly selected pairs of scans from each subject, we quantified the ability of a data-driven unsupervised cluster analysis to match two scans of the same subjects. In this “fingerprinting” experiment, we found that scans from the Canadian subject (Csub) could be matched with high accuracy intra-site (>95% for some networks), but that the accuracy decreased substantially for scans drawn from different sites and vendors, even falling outside of the range of accuracies observed in HNU1. Overall, our results demonstrate good multivariate stability of rsfMRI measures over several years, but substantial impact of scanning site and vendors. How detrimental these effects are will depend on the application, yet our results demonstrate that new methods for harmonizing multisite analysis represent an important area for future work. |
| first_indexed | 2024-12-12T17:52:47Z |
| format | Article |
| id | doaj.art-3eda58f6df694ff3a7673c711fdf74af |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-12T17:52:47Z |
| publishDate | 2020-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-3eda58f6df694ff3a7673c711fdf74af2022-12-22T00:16:46ZengElsevierNeuroImage1095-95722020-01-01205116210Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendorsAmanPreet Badhwar0Yannik Collin-Verreault1Pierre Orban2Sebastian Urchs3Isabelle Chouinard4Jacob Vogel5Olivier Potvin6Simon Duchesne7Pierre Bellec8Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada; Université de Montréal, Montréal, Canada; Corresponding author. Centre de Recherche, Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, QC, H3W 1W5, Canada.Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, CanadaCentre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada; Université de Montréal, Montréal, CanadaCentre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada; McGill University, Montréal, CanadaCentre CERVO, Quebec City Mental Health Institute, Quebec, CanadaMcGill University, Montréal, CanadaCentre CERVO, Quebec City Mental Health Institute, Quebec, CanadaCentre CERVO, Quebec City Mental Health Institute, Quebec, Canada; Department of Radiology, Faculty of Medicine, Université Laval, Quebec, CanadaCentre de Recherche de l’Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada; Université de Montréal, Montréal, CanadaStudies using resting-state functional magnetic resonance imaging (rsfMRI) are increasingly collecting data at multiple sites in order to speed up recruitment or increase sample size. The main objective of this study was to assess the long-term consistency of rsfMRI connectivity maps derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol (CDIP, www.cdip-pcid.ca). Nine to 10 min of functional BOLD images were acquired from an adult cognitively healthy volunteer scanned repeatedly at 13 Canadian sites on three scanner makes (General Electric, Philips and Siemens) over the course of 2.5 years. The consistency (spatial Pearson’s correlation) of rsfMRI connectivity maps for seven canonical networks ranged from 0.3 to 0.8, with a negligible effect of time, but significant site and vendor effects. We noted systematic differences in data quality (i.e. head motion, number of useable time frames, temporal signal-to-noise ratio) across vendors, which may also confound some of these results, and could not be disentangled in this sample. We also pooled the long-term longitudinal data with a single-site, short-term (1 month) data sample acquired on 26 subjects (10 scans per subject), called HNU1. Using randomly selected pairs of scans from each subject, we quantified the ability of a data-driven unsupervised cluster analysis to match two scans of the same subjects. In this “fingerprinting” experiment, we found that scans from the Canadian subject (Csub) could be matched with high accuracy intra-site (>95% for some networks), but that the accuracy decreased substantially for scans drawn from different sites and vendors, even falling outside of the range of accuracies observed in HNU1. Overall, our results demonstrate good multivariate stability of rsfMRI measures over several years, but substantial impact of scanning site and vendors. How detrimental these effects are will depend on the application, yet our results demonstrate that new methods for harmonizing multisite analysis represent an important area for future work.http://www.sciencedirect.com/science/article/pii/S1053811919308018Resting-state fMRIConsistencyMultisiteLongitudinalFingerprinting |
| spellingShingle | AmanPreet Badhwar Yannik Collin-Verreault Pierre Orban Sebastian Urchs Isabelle Chouinard Jacob Vogel Olivier Potvin Simon Duchesne Pierre Bellec Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors NeuroImage Resting-state fMRI Consistency Multisite Longitudinal Fingerprinting |
| title | Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors |
| title_full | Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors |
| title_fullStr | Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors |
| title_full_unstemmed | Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors |
| title_short | Multivariate consistency of resting-state fMRI connectivity maps acquired on a single individual over 2.5 years, 13 sites and 3 vendors |
| title_sort | multivariate consistency of resting state fmri connectivity maps acquired on a single individual over 2 5 years 13 sites and 3 vendors |
| topic | Resting-state fMRI Consistency Multisite Longitudinal Fingerprinting |
| url | http://www.sciencedirect.com/science/article/pii/S1053811919308018 |
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