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The effects of multi-echo fMRI combination and rapid T*-mapping on offline and real-time BOLD sensitivity
- Source :
- NeuroImage 238, 118244-(2021). doi:10.1016/j.neuroimage.2021.118244
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- A variety of strategies are used to combine multi-echo functional magnetic resonance imaging (fMRI) data, yet recent literature lacks a systematic comparison of the available options. Here we compare six different approaches derived from multi-echo data and evaluate their influences on BOLD sensitivity for offline and in particular real-time use cases: a single-echo time series (based on Echo 2), the real-time T2*-mapped time series (T2*FIT) and four combined time series (T2*-weighted, tSNR-weighted, TE-weighted, and a new combination scheme termed T2*FIT-weighted). We compare the influences of these six multi-echo derived time series on BOLD sensitivity using a healthy participant dataset (N = 28) with four task-based fMRI runs and two resting state runs. We show that the T2*FIT-weighted combination yields the largest increase in temporal signal-to-noise ratio across task and resting state runs. We demonstrate additionally for all tasks that the T2*FIT time series consistently yields the largest offline effect size measures and real-time region-of-interest based functional contrasts and temporal contrast-to-noise ratios. These improvements show the promising utility of multi-echo fMRI for studies employing real-time paradigms, while further work is advised to mitigate the decreased tSNR of the T2*FIT time series. We recommend the use and continued exploration of T2*FIT for offline task-based and real-time region-based fMRI analysis. Supporting information includes: a data repository (https://dataverse.nl/dataverse/rt-me-fmri), an interactive web-based application to explore the data (https://rt-me-fmri.herokuapp.com/), and further materials and code for reproducibility (https://github.com/jsheunis/rt-me-fMRI).
- Subjects :
- Series (mathematics)
medicine.diagnostic_test
Resting state fMRI
business.industry
Computer science
Cognitive Neuroscience
05 social sciences
Echo (computing)
Pattern recognition
050105 experimental psychology
03 medical and health sciences
Task (computing)
0302 clinical medicine
Neurology
Finger tapping
medicine
0501 psychology and cognitive sciences
ddc:610
Artificial intelligence
Sensitivity (control systems)
Neurofeedback
business
Functional magnetic resonance imaging
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 10538119
- Volume :
- 238
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....591721e98c6ab5c91f6ce7c15e2138a1