ArticleScientific reports2023
Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Functional magnetic resonance imaging insights into nociceptive signal processing network in rat lumbar spinal cord.Pain reports · 2026Article
- Relationships Between Intra-Spinal Resting-State Functional Connectivity and Electrophysiology Following Spinal Cord Injury.Human brain mapping · 2025Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.bioRxiv : the preprint server for biology · 2025Article
- Changes in functional connectivity in relapsing-remitting multiple sclerosis spinal cord measured via region-based and data-driven analyses.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Towards personalized mapping through lumbosacral spinal cord task fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Review
- Functional magnetic resonance imaging of the lumbosacral cord during a lower extremity motor task.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Lumbosacral spinal cord functional connectivity at rest: From feasibility to reliability.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.