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Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols

Resting‐state functional magnetic resonance imaging (fMRI) has been used in numerous studies to map networks in the brain that employ spatially disparate regions. However, attempts to map networks with high spatial resolution have been hampered by conflicting technical demands and associated problem...

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Autores principales: Yun, Seong Dae, Pais‐Roldán, Patricia, Palomero‐Gallagher, Nicola, Shah, N. Jon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248311/
https://www.ncbi.nlm.nih.gov/pubmed/35384130
http://dx.doi.org/10.1002/hbm.25855
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author Yun, Seong Dae
Pais‐Roldán, Patricia
Palomero‐Gallagher, Nicola
Shah, N. Jon
author_facet Yun, Seong Dae
Pais‐Roldán, Patricia
Palomero‐Gallagher, Nicola
Shah, N. Jon
author_sort Yun, Seong Dae
collection PubMed
description Resting‐state functional magnetic resonance imaging (fMRI) has been used in numerous studies to map networks in the brain that employ spatially disparate regions. However, attempts to map networks with high spatial resolution have been hampered by conflicting technical demands and associated problems. Results from recent fMRI studies have shown that spatial resolution remains around 0.7 × 0.7 × 0.7 mm(3), with only partial brain coverage. Therefore, this work aims to present a novel fMRI technique that was developed based on echo‐planar‐imaging with keyhole (EPIK) combined with repetition‐time‐external (TR‐external) EPI phase correction. Each technique has been previously shown to be effective in enhancing the spatial resolution of fMRI, and in this work, the combination of the two techniques into TR‐external EPIK provided a nominal spatial resolution of 0.51 × 0.51 × 1.00 mm(3) (0.26 mm(3) voxel) with whole‐cerebrum coverage. Here, the feasibility of using half‐millimetre in‐plane TR‐external EPIK for resting‐state fMRI was validated using 13 healthy subjects and the corresponding reproducible mapping of resting‐state networks was demonstrated. Furthermore, TR‐external EPIK enabled the identification of various resting‐state networks distributed throughout the brain from a single fMRI session, with mapping fidelity onto the grey matter at 7T. The high‐resolution functional image further revealed mesoscale anatomical structures, such as small cerebral vessels and the internal granular layer of the cortex within the postcentral gyrus.
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spelling pubmed-92483112022-07-05 Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols Yun, Seong Dae Pais‐Roldán, Patricia Palomero‐Gallagher, Nicola Shah, N. Jon Hum Brain Mapp Research Articles Resting‐state functional magnetic resonance imaging (fMRI) has been used in numerous studies to map networks in the brain that employ spatially disparate regions. However, attempts to map networks with high spatial resolution have been hampered by conflicting technical demands and associated problems. Results from recent fMRI studies have shown that spatial resolution remains around 0.7 × 0.7 × 0.7 mm(3), with only partial brain coverage. Therefore, this work aims to present a novel fMRI technique that was developed based on echo‐planar‐imaging with keyhole (EPIK) combined with repetition‐time‐external (TR‐external) EPI phase correction. Each technique has been previously shown to be effective in enhancing the spatial resolution of fMRI, and in this work, the combination of the two techniques into TR‐external EPIK provided a nominal spatial resolution of 0.51 × 0.51 × 1.00 mm(3) (0.26 mm(3) voxel) with whole‐cerebrum coverage. Here, the feasibility of using half‐millimetre in‐plane TR‐external EPIK for resting‐state fMRI was validated using 13 healthy subjects and the corresponding reproducible mapping of resting‐state networks was demonstrated. Furthermore, TR‐external EPIK enabled the identification of various resting‐state networks distributed throughout the brain from a single fMRI session, with mapping fidelity onto the grey matter at 7T. The high‐resolution functional image further revealed mesoscale anatomical structures, such as small cerebral vessels and the internal granular layer of the cortex within the postcentral gyrus. John Wiley & Sons, Inc. 2022-04-06 /pmc/articles/PMC9248311/ /pubmed/35384130 http://dx.doi.org/10.1002/hbm.25855 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Yun, Seong Dae
Pais‐Roldán, Patricia
Palomero‐Gallagher, Nicola
Shah, N. Jon
Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title_full Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title_fullStr Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title_full_unstemmed Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title_short Mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
title_sort mapping of whole‐cerebrum resting‐state networks using ultra‐high resolution acquisition protocols
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248311/
https://www.ncbi.nlm.nih.gov/pubmed/35384130
http://dx.doi.org/10.1002/hbm.25855
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