dc.contributor.author | Heunis, Stephan | |
dc.contributor.author | Breeuwer, Marcel | |
dc.contributor.author | Caballero-Gaudes, César | |
dc.contributor.author | Hellrung, Lydia | |
dc.contributor.author | Huijbers, Willem | |
dc.contributor.author | Jansen, Jacobus FA | |
dc.contributor.author | Lamerichs, Rolf | |
dc.contributor.author | Zinger, Svitlana | |
dc.contributor.author | Aldenkamp, Albert P | |
dc.date.accessioned | 2021-06-23T08:22:01Z | |
dc.date.available | 2021-06-23T08:22:01Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Stephan Heunis, Marcel Breeuwer, César Caballero-Gaudes, Lydia Hellrung, Willem Huijbers, Jacobus FA Jansen, Rolf Lamerichs, Svitlana Zinger, Albert P Aldenkamp, The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity, NeuroImage, Volume 238, 2021, 118244, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2021.118244 | es_ES |
dc.identifier.issn | 1053-8119 | |
dc.identifier.uri | http://hdl.handle.net/10810/51985 | |
dc.description | Available online 8 June 2021. | es_ES |
dc.description.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 T 2 ∗ -mapped time series ( T 2 ∗ FIT ) and four combined time series ( T 2 ∗ -weighted, tSNR-weighted, TE-weighted, and a new combination scheme termed T 2 ∗ 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 T 2 ∗ 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 T 2 ∗ 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 T 2 ∗ FIT time series. We recommend the use and continued exploration of T 2 ∗ 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 ). | es_ES |
dc.description.sponsorship | This work was funded by the foundation Health-Holland LSH-TKI (grant LSHM16053-SGF ) and supported by Philips Research. LH was supported by the European Union’s Horizon 2020 research and inno- vation program under the Grant Agreement no 794395 . CCG was sup- ported by the Spanish Ministry of Economy and Competitiveness (Ra- mon y Cajal Fellowship, RYC-2017- 21845 ), the Basque Government ( PIBA_2019_104 ) and the Spanish Ministry of Science, Innovation and Universities ( MICINN ; PID2019-105520GB-100 ). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | NeuroImage | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/MC/794395 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/RYC-2017-21845 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PID2019-105520GB-100 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Real-time | es_ES |
dc.subject | Multi-echo | es_ES |
dc.subject | Functional magnetic resonance imaging | es_ES |
dc.subject | Neurofeedback | es_ES |
dc.subject | Adaptive paradigms | es_ES |
dc.subject | Methods development | es_ES |
dc.subject | Finger tapping | es_ES |
dc.subject | Motor | es_ES |
dc.subject | Emotion processing | es_ES |
dc.subject | Amygdala | es_ES |
dc.subject | Task | es_ES |
dc.subject | Resting state | es_ES |
dc.title | The effects of multi-echo fMRI combination and rapid T 2 ∗ -mapping on offline and real-time BOLD sensitivity | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ) | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/neuroimage | es_ES |
dc.identifier.doi | 10.1016/j.neuroimage.2021.118244 | |