Dataset DZNE-2023-00979

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Dataset: Evaluating the capabilities and challenges of layer-fMRI VASO at 3T

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2022
DataverseNL

DataverseNL () [10.34894/SRT8RU]

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Abstract: Study Abstract: Sub-millimeter functional imaging at ultrahigh field (UHF) strengths has the potential to capture cortical layer-specific functional information flow within and across brain systems. Recent sequence advancements of fMRI signal readout and contrast generations resulted in wide adaptation of layer-fMRI protocols across the global UHF neuroimaging community. However, most layer-fMRI applications are confined to one of ≈100 privileged UHF imaging centers, and sequence contrasts with unwanted sensitivity to large draining veins. In this work, we propose the application of vein-free vascular space occupancy (VASO) sequences at widely accessible 3T scanners. We aim to implement, characterize and apply a CBV-sensitive VASO sequence setup for 3T. We find that the longer T2*, and shorter T1 relaxation times at 3T can account for some of the lower z-magnetization in the inversion-recovery VASO sequence compared to 7T and 9.4T. Since 3T fMRI does not provide as much SNR compared to 7T, thermal-noise dominated layer-fMRI experiments at 3T require longer scan duration. In order to mitigate unrealistically long experiments, we aimed to increase the readout efficiency compared to previous 7T layer-fMRI VASO. This is done by means of utilizing fat saturation with binomial pulses, and segmented in-plane segmented trajectory, and externalizing phase navigators from the shot-specific readout. We test the utility of this setup for visual tasks, for motor tasks, and for movie watching tasks. We conclude that layer-fMRI VASO is applicable at 3T without too much further ado. Link to Zip file with all participants (96GB): https://layerfmri.page.link/3TVASO_groupdata


Contributing Institute(s):
  1. MR Physics (AG Stöcker)
Research Program(s):
  1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2022
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Document types > Other Resources > Datasets
Institute Collections > BN DZNE > BN DZNE-AG Stöcker
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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;
Evaluating the capabilities and challenges of layer-fMRI VASO at 3T
3, 1-17 () [10.52294/001c.85117] OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


 Record created 2023-09-29, last modified 2024-03-18



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