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Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI
Functional MRI (fMRI) of the spinal cord is an expanding area of research with potential to investigate neuronal activity in the central nervous system. We aimed to characterize the functional connectivity features of the human lumbar spinal cord using resting-state fMRI (rs-fMRI) at 3T, using regio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597994/ https://www.ncbi.nlm.nih.gov/pubmed/37875563 http://dx.doi.org/10.1038/s41598-023-45302-0 |
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author | Combes, Anna Narisetti, Lipika Sengupta, Anirban Rogers, Baxter P. Sweeney, Grace Prock, Logan Houston, Delaney McKnight, Colin D. Gore, John C. Smith, Seth A. O’Grady, Kristin P. |
author_facet | Combes, Anna Narisetti, Lipika Sengupta, Anirban Rogers, Baxter P. Sweeney, Grace Prock, Logan Houston, Delaney McKnight, Colin D. Gore, John C. Smith, Seth A. O’Grady, Kristin P. |
author_sort | Combes, Anna |
collection | PubMed |
description | Functional MRI (fMRI) of the spinal cord is an expanding area of research with potential to investigate neuronal activity in the central nervous system. We aimed to characterize the functional connectivity features of the human lumbar spinal cord using resting-state fMRI (rs-fMRI) at 3T, using region-based and data-driven analysis approaches. A 3D multi-shot gradient echo resting-state blood oxygenation level dependent-sensitive rs-fMRI protocol was implemented in 26 healthy participants. Average temporal signal-to-noise ratio in the gray matter was 16.35 ± 4.79 after denoising. Evidence of synchronous signal fluctuations in the ventral and dorsal horns with their contralateral counterparts was observed in representative participants using interactive, exploratory seed-based correlations. Group-wise average in-slice Pearson’s correlations were 0.43 ± 0.17 between ventral horns, and 0.48 ± 0.16 between dorsal horns. Group spatial independent component analysis (ICA) was used to identify areas of coherent activity¸ and revealed components within the gray matter corresponding to anatomical regions. Lower-dimensionality ICA revealed bilateral components corresponding to ventral and dorsal networks. Additional separate ICAs were run on two subsets of the participant group, yielding two sets of components that showed visual consistency and moderate spatial overlap. This work shows feasibility of rs-fMRI to probe the functional features and organization of the lumbar spinal cord. |
format | Online Article Text |
id | pubmed-10597994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105979942023-10-26 Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI Combes, Anna Narisetti, Lipika Sengupta, Anirban Rogers, Baxter P. Sweeney, Grace Prock, Logan Houston, Delaney McKnight, Colin D. Gore, John C. Smith, Seth A. O’Grady, Kristin P. Sci Rep Article Functional MRI (fMRI) of the spinal cord is an expanding area of research with potential to investigate neuronal activity in the central nervous system. We aimed to characterize the functional connectivity features of the human lumbar spinal cord using resting-state fMRI (rs-fMRI) at 3T, using region-based and data-driven analysis approaches. A 3D multi-shot gradient echo resting-state blood oxygenation level dependent-sensitive rs-fMRI protocol was implemented in 26 healthy participants. Average temporal signal-to-noise ratio in the gray matter was 16.35 ± 4.79 after denoising. Evidence of synchronous signal fluctuations in the ventral and dorsal horns with their contralateral counterparts was observed in representative participants using interactive, exploratory seed-based correlations. Group-wise average in-slice Pearson’s correlations were 0.43 ± 0.17 between ventral horns, and 0.48 ± 0.16 between dorsal horns. Group spatial independent component analysis (ICA) was used to identify areas of coherent activity¸ and revealed components within the gray matter corresponding to anatomical regions. Lower-dimensionality ICA revealed bilateral components corresponding to ventral and dorsal networks. Additional separate ICAs were run on two subsets of the participant group, yielding two sets of components that showed visual consistency and moderate spatial overlap. This work shows feasibility of rs-fMRI to probe the functional features and organization of the lumbar spinal cord. Nature Publishing Group UK 2023-10-24 /pmc/articles/PMC10597994/ /pubmed/37875563 http://dx.doi.org/10.1038/s41598-023-45302-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Combes, Anna Narisetti, Lipika Sengupta, Anirban Rogers, Baxter P. Sweeney, Grace Prock, Logan Houston, Delaney McKnight, Colin D. Gore, John C. Smith, Seth A. O’Grady, Kristin P. Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title | Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title_full | Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title_fullStr | Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title_full_unstemmed | Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title_short | Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI |
title_sort | detection of resting-state functional connectivity in the lumbar spinal cord with 3t mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597994/ https://www.ncbi.nlm.nih.gov/pubmed/37875563 http://dx.doi.org/10.1038/s41598-023-45302-0 |
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