Non-Cartesian 3D-SPARKLING vs Cartesian 3D-EPI encoding schemes for functional Magnetic Resonance Imaging at 7 Tesla.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 02 02 2023
accepted: 16 02 2024
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: epublish

Résumé

The quest for higher spatial and/or temporal resolution in functional MRI (fMRI) while preserving a sufficient temporal signal-to-noise ratio (tSNR) has generated a tremendous amount of methodological contributions in the last decade ranging from Cartesian vs. non-Cartesian readouts, 2D vs. 3D acquisition strategies, parallel imaging and/or compressed sensing (CS) accelerations and simultaneous multi-slice acquisitions to cite a few. In this paper, we investigate the use of a finely tuned version of 3D-SPARKLING. This is a non-Cartesian CS-based acquisition technique for high spatial resolution whole-brain fMRI. We compare it to state-of-the-art Cartesian 3D-EPI during both a retinotopic mapping paradigm and resting-state acquisitions at 1mm3 (isotropic spatial resolution). This study involves six healthy volunteers and both acquisition sequences were run on each individual in a randomly-balanced order across subjects. The performances of both acquisition techniques are compared to each other in regards to tSNR, sensitivity to the BOLD effect and spatial specificity. Our findings reveal that 3D-SPARKLING has a higher tSNR than 3D-EPI, an improved sensitivity to detect the BOLD contrast in the gray matter, and an improved spatial specificity. Compared to 3D-EPI, 3D-SPARKLING yields, on average, 7% more activated voxels in the gray matter relative to the total number of activated voxels.

Identifiants

pubmed: 38739571
doi: 10.1371/journal.pone.0299925
pii: PONE-D-23-03044
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0299925

Informations de copyright

Copyright: © 2024 Amor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

Guillaume Daval-Frérot was employed by Siemens Healthineers at the time this work was performed. This does not alter our adherence to PLOS ONE policies on sharing data and materials. The other authors have declared that no competing interests exist.

Auteurs

Zaineb Amor (Z)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.

Philippe Ciuciu (P)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.
Inria, MIND team, Université Paris-Saclay, Palaiseau, France.

Chaithya G R (C)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.
Inria, MIND team, Université Paris-Saclay, Palaiseau, France.

Guillaume Daval-Frérot (G)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.
Inria, MIND team, Université Paris-Saclay, Palaiseau, France.
Siemens Heathineers, Courbevoie, France.

Franck Mauconduit (F)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.

Bertrand Thirion (B)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.
Inria, MIND team, Université Paris-Saclay, Palaiseau, France.

Alexandre Vignaud (A)

CEA, Joliot, NeuroSpin, Université Paris-Saclay, Gif-sur-Yvette, France.

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