Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
24 10 2023
24 10 2023
Historique:
received:
14
03
2023
accepted:
18
10
2023
medline:
26
10
2023
pubmed:
25
10
2023
entrez:
24
10
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37875563
doi: 10.1038/s41598-023-45302-0
pii: 10.1038/s41598-023-45302-0
pmc: PMC10597994
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
18189Subventions
Organisme : NIBIB NIH HHS
ID : K01 EB030039
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002243
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS109114
Pays : United States
Informations de copyright
© 2023. Springer Nature Limited.
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