Evidence map›Paper›PMID 35289976›Full record

ArticleHuman brain mapping2022

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

Lisa Byrge, Dorit Kliemann, Ye He, Hu Cheng, Julian Michael Tyszka, Ralph Adolphs, Daniel P Kennedy

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lisa ByrgeDepartment of Psychology, University of North Florida, Jacksonville, Florida, USA.ORCID 0000-0001-8554-1401
Dorit KliemannDepartment of Psychological and Brain Sciences, The University of Iowa, Iowa City, Iowa, USA.
Ye HeSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.ORCID 0000-0001-7113-8056
Hu ChengDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA.
Julian Michael TyszkaDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, California, USA.ORCID 0000-0001-9342-9014
Ralph AdolphsDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, California, USA.
Daniel P KennedyDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA.

Funding

TRAINING PROGRAM IN INTEGRATIVE DEVELOPMENTAL PROCESST32HD007475 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy, LINDA B. SMITH · 1995 to 2026
$9.5M
University of Iowa Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC)P50HD103556 · NICHD · UNIVERSITY OF IOWA · PI Lane Strathearn · 2021 to 2026
$8.5M
Using complex video stimuli to elucidate atypical brain functioning in ASDR01MH110630 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI Daniel Patrick Kennedy · 2017 to 2026
$5.6M
Investigating Brain Connectivity in Autism at the Whole-Brain LevelR00MH094409 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI KENNEDY, DANIEL PATRICK · 2012 to 2014
$714k
NICHD NIH HHS P50 HD103556NICHD NIH HHS T32 HD007475NIMH NIH HHS R00 MH094409NIMH NIH HHS R01 MH110630
6 · The paper itself

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.

Indexed as

Brain MappingMagnetic Resonance ImagingBrainHumansIndividualityReproducibility of Resultsharmonizationinter-subject correlationsnaturalistic viewingreliabilityreproducibilitysynchronyvideo fMRI

Identifiers

PMID35289976
PMCPMC9120552

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.