Evidence map›Paper›PMID 33763764›Full record

ArticleMagma (New York, N.Y.)2021

An empirical investigation of the benefit of increasing the temporal resolution of task-evoked fMRI data with multi-band imaging.

Virág Darányi, Petra Hermann, István Homolya, Zoltán Vidnyánszky, Zoltan Nagy

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Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Virág DarányiBrain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary.
Petra HermannBrain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary.
István HomolyaBrain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary.
Zoltán VidnyánszkyBrain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary.
Zoltan NagyLaboratory for Social and Neural Systems Research, University of Zürich, Rämistrasse 100, P.O. Box 149, Zürich, Switzerland. zsydney@yahoo.com.ORCID http://orcid.org/0000-0001-6611-6362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is a tendency for reducing TR in MRI experiments with multi-band imaging. We empirically investigate its benefit for the group-level statistical outcome in task-evoked fMRI.

methodsThree visual fMRI data sets were collected from 17 healthy adult participants. Multi-band acquisition helped vary the TR (2000/1000/410 ms, respectively). Because these data sets capture different temporal aspects of the haemodynamic response (HRF), we tested several HRF models. We computed a composite descriptive statistic, H, from β's of each first-level model fit and carried it to the group-level analysis. The number of activated voxels and the t value of the group-level analysis as well as a goodness-of-fit measure were used as surrogate markers of data quality for comparison.

resultsIncreasing the temporal sampling rate did not provide a universal improvement in the group-level statistical outcome. Rather, both the voxel-wise and ROI-averaged group-level results varied widely with anatomical location, choice of HRF and the setting of the TR. Correspondingly, the goodness-of-fit of HRFs became worse with increasing the sampling frequency.

conclusionRather than universally increasing the temporal sampling rate in cognitive fMRI experiments, these results advocate the performance of a pilot study for the specific ROIs of interest to identify the appropriate temporal sampling rate for the acquisition and the correspondingly suitable HRF for the analysis of the data.

Indexed as

HemodynamicsMagnetic Resonance ImagingAdultBrain MappingHumansPilot ProjectsfMRIGoodness-of-fitMulti-bandSNRTemporal sampling rate

Identifiers

PMID33763764
PMCPMC8421273

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