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

Authors
  • Darányi, Virág1
  • Hermann, Petra1
  • Homolya, István1
  • Vidnyánszky, Zoltán1
  • Nagy, Zoltan2
  • 1 Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary. , (Hungary)
  • 2 Laboratory for Social and Neural Systems Research, University of Zürich, Rämistrasse 100, P.O. Box 149, Zürich, Switzerland. [email protected] , (Switzerland)
Type
Published Article
Journal
Magnetic Resonance Materials in Physics Biology and Medicine
Publisher
Springer-Verlag
Publication Date
Oct 01, 2021
Volume
34
Issue
5
Pages
667–676
Identifiers
DOI: 10.1007/s10334-021-00918-z
PMID: 33763764
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

There 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. Three 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. Increasing 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. Rather 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. © 2021. The Author(s).

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