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15 Years MR-encephalography
OBJECTIVE: This review article gives an account of the development of the MR-encephalography (MREG) method, which started as a mere ‘Gedankenexperiment’ in 2005 and gradually developed into a method for ultrafast measurement of physiological activities in the brain. After going through different app...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910380/ https://www.ncbi.nlm.nih.gov/pubmed/33079327 http://dx.doi.org/10.1007/s10334-020-00891-z |
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author | Hennig, Juergen Kiviniemi, Vesa Riemenschneider, Bruno Barghoorn, Antonia Akin, Burak Wang, Fei LeVan, Pierre |
author_facet | Hennig, Juergen Kiviniemi, Vesa Riemenschneider, Bruno Barghoorn, Antonia Akin, Burak Wang, Fei LeVan, Pierre |
author_sort | Hennig, Juergen |
collection | PubMed |
description | OBJECTIVE: This review article gives an account of the development of the MR-encephalography (MREG) method, which started as a mere ‘Gedankenexperiment’ in 2005 and gradually developed into a method for ultrafast measurement of physiological activities in the brain. After going through different approaches covering k-space with radial, rosette, and concentric shell trajectories we have settled on a stack-of-spiral trajectory, which allows full brain coverage with (nominal) 3 mm isotropic resolution in 100 ms. The very high acceleration factor is facilitated by the near-isotropic k-space coverage, which allows high acceleration in all three spatial dimensions. METHODS: The methodological section covers the basic sequence design as well as recent advances in image reconstruction including the targeted reconstruction, which allows real-time feedback applications, and—most recently—the time-domain principal component reconstruction (tPCR), which applies a principal component analysis of the acquired time domain data as a sparsifying transformation to improve reconstruction speed as well as quality. APPLICATIONS: Although the BOLD-response is rather slow, the high speed acquisition of MREG allows separation of BOLD-effects from cardiac and breathing related pulsatility. The increased sensitivity enables direct detection of the dynamic variability of resting state networks as well as localization of single interictal events in epilepsy patients. A separate and highly intriguing application is aimed at the investigation of the glymphatic system by assessment of the spatiotemporal patterns of cardiac and breathing related pulsatility. DISCUSSION: MREG has been developed to push the speed limits of fMRI. Compared to multiband-EPI this allows considerably faster acquisition at the cost of reduced image quality and spatial resolution. |
format | Online Article Text |
id | pubmed-7910380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-79103802021-03-15 15 Years MR-encephalography Hennig, Juergen Kiviniemi, Vesa Riemenschneider, Bruno Barghoorn, Antonia Akin, Burak Wang, Fei LeVan, Pierre MAGMA Review OBJECTIVE: This review article gives an account of the development of the MR-encephalography (MREG) method, which started as a mere ‘Gedankenexperiment’ in 2005 and gradually developed into a method for ultrafast measurement of physiological activities in the brain. After going through different approaches covering k-space with radial, rosette, and concentric shell trajectories we have settled on a stack-of-spiral trajectory, which allows full brain coverage with (nominal) 3 mm isotropic resolution in 100 ms. The very high acceleration factor is facilitated by the near-isotropic k-space coverage, which allows high acceleration in all three spatial dimensions. METHODS: The methodological section covers the basic sequence design as well as recent advances in image reconstruction including the targeted reconstruction, which allows real-time feedback applications, and—most recently—the time-domain principal component reconstruction (tPCR), which applies a principal component analysis of the acquired time domain data as a sparsifying transformation to improve reconstruction speed as well as quality. APPLICATIONS: Although the BOLD-response is rather slow, the high speed acquisition of MREG allows separation of BOLD-effects from cardiac and breathing related pulsatility. The increased sensitivity enables direct detection of the dynamic variability of resting state networks as well as localization of single interictal events in epilepsy patients. A separate and highly intriguing application is aimed at the investigation of the glymphatic system by assessment of the spatiotemporal patterns of cardiac and breathing related pulsatility. DISCUSSION: MREG has been developed to push the speed limits of fMRI. Compared to multiband-EPI this allows considerably faster acquisition at the cost of reduced image quality and spatial resolution. Springer International Publishing 2020-10-20 2021 /pmc/articles/PMC7910380/ /pubmed/33079327 http://dx.doi.org/10.1007/s10334-020-00891-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Review Hennig, Juergen Kiviniemi, Vesa Riemenschneider, Bruno Barghoorn, Antonia Akin, Burak Wang, Fei LeVan, Pierre 15 Years MR-encephalography |
title | 15 Years MR-encephalography |
title_full | 15 Years MR-encephalography |
title_fullStr | 15 Years MR-encephalography |
title_full_unstemmed | 15 Years MR-encephalography |
title_short | 15 Years MR-encephalography |
title_sort | 15 years mr-encephalography |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910380/ https://www.ncbi.nlm.nih.gov/pubmed/33079327 http://dx.doi.org/10.1007/s10334-020-00891-z |
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