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Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites

Byrge, Lisa and Kliemann, Dorit and He, Ye and Cheng, Hu and Tyszka, J. Michael and Adolphs, Ralph and Kennedy, Daniel P. (2021) Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20211008-224629602

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Abstract

Naturalistic imaging paradigms, in which participants view complex videos in the scanner, are increasingly used in human cognitive neuroscience. Videos evoke temporally synchronized brain responses that are similar across subjects as well as within subjects, but the reproducibility of these brain responses across different data acquisition sites has not yet been quantified. Here we characterize the consistency of brain responses across independent samples of participants viewing the same videos in fMRI scanners at different sites (Indiana University and Caltech). We compared brain responses collected at these different sites for two carefully matched datasets with identical scanner models, acquisition, and preprocessing details, along with a third unmatched dataset in which these details varied. Our overall conclusion is that for matched and unmatched datasets alike, video-evoked brain responses have high consistency across these different sites, both when compared across groups and across pairs of individuals. As one might expect, differences between sites were larger for unmatched datasets than matched datasets. Residual differences between datasets could in part reflect participant-level variability rather than scanner- or data-related effects. Altogether our results indicate promise for the development and, critically, generalization of video fMRI studies of individual differences in healthy and clinical populations alike.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/2021.10.04.463088DOIDiscussion Paper
ORCID:
AuthorORCID
Byrge, Lisa0000-0001-8554-1401
Tyszka, J. Michael0000-0001-9342-9014
Adolphs, Ralph0000-0002-8053-9692
Kennedy, Daniel P.0000-0002-5915-0893
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. This work was supported in part by the NIH (R01MH110630 and R00MH094409 to DPK and T32HD007475 Postdoctoral Traineeship to LB), the Simons Foundation Autism Research Initiative (RA), and a Della Martin Fellowship (DK). For supercomputing resources, this work was supported in part by Lilly Endowment, Inc., through its support for the Indiana University Pervasive Technology Institute, and in part by the Indiana METACyt Initiative. The Indiana METACyt Initiative at IU was also supported in part by Lilly Endowment, Inc. We thank Susannah Ferguson, Brad Caron, Arispa Weigold, and Steven Lograsso for help with data collection and we are grateful to all our participants and their families. Data availability: The primary data (Video1 and Video2) analyzed for this manuscript is publicly in the National Database for Autism Research (NDAR; Hall et al., 2012; https://nda.nih.gov/about.html). Author Contributions: LB, RA, and DPK conceptualized the project. HC & MT developed MRI protocols, coordinated them across sites, and continuously conducted scanner quality assurance. LB, DK, and Indiana University and Caltech personnel collected data. LB, DK, and YH preprocessed data and ensured data quality. LB & DPK developed the analysis approach and LB analyzed the data. LB drafted the manuscript with input from DPK and all co-authors provided feedback and approved the final version. The authors have declared no competing interest.
Group:Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
NIHR01MH110630
NIHR00MH094409
NIH Postdoctoral FellowshipT32HD007475
Simons Foundation Autism Research InitiativeUNSPECIFIED
Della Martin FoundationUNSPECIFIED
Lilly Endowment, Inc.UNSPECIFIED
Indiana METACyt InitiativeUNSPECIFIED
Subject Keywords:video fMRI, naturalistic viewing, reliability, reproducibility, inter-subject correlations, synchrony, harmonization
DOI:10.1101/2021.10.04.463088
Record Number:CaltechAUTHORS:20211008-224629602
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211008-224629602
Official Citation:Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites Lisa Byrge, Dorit Kliemann, Ye He, Hu Cheng, J. Michael Tyszka, Ralph Adolphs, Daniel P. Kennedy bioRxiv 2021.10.04.463088; doi: https://doi.org/10.1101/2021.10.04.463088
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111333
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:11 Oct 2021 22:40
Last Modified:11 Oct 2021 22:40

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