Journal article
Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites
Human brain mapping, Vol.43(9), pp.2972-2991
03/15/2022
DOI: 10.1002/hbm.25830
PMCID: PMC9120552
PMID: 35289976
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 functional magnetic resonance imaging (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.
Details
- Title: Subtitle
- Video-evoked fMRI BOLD responses are highly consistent across different data acquisition sites
- Creators
- Lisa Byrge - University of North FloridaDorit Kliemann - University of IowaYe He - Beijing University of Posts and TelecommunicationsHu Cheng - Program in Neuroscience, Bloomington, Indiana, USAJulian Michael Tyszka - Imaging CenterRalph Adolphs - California Institute of TechnologyDaniel P Kennedy - Indiana University Bloomington
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.43(9), pp.2972-2991
- DOI
- 10.1002/hbm.25830
- PMID
- 35289976
- PMCID
- PMC9120552
- NLM abbreviation
- Hum Brain Mapp
- eISSN
- 1097-0193
- Grant note
- R01MH110630 / NIH HHS Simons Foundation Autism Research Initiative T32HD007475 / NIH HHS R00MH094409 / NIH HHS
- Language
- English
- Date published
- 03/15/2022
- Academic Unit
- Neurology; Psychiatry; Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984229359102771
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