ArticleHuman brain mapping2024
Spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study.
Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Test-Retest Reliability of Sensorimotor Activity Measured With Spinal Cord fMRI.Human brain mapping · 2026Article
- Spatial distribution of spinal cord fMRI activity with electrocutaneous stimulation.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Mapping Human Proprioceptive Projections of Upper Limb Muscles Through Spinal Cord fMRI.Human brain mapping · 2025Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.bioRxiv : the preprint server for biology · 2025Article
- Spine-Prints: Transposing Brain Fingerprints to the Spinal Cord.bioRxiv : the preprint server for biology · 2025Article
- Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study.Human brain mapping · 2024Article
- Reliability of task-based fMRI in the dorsal horn of the human spinal cord.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Functional magnetic resonance imaging of the lumbosacral cord during a lower extremity motor task.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Reliability of resting-state functional connectivity in the human spinal cord: Assessing the impact of distinct noise sources.NeuroImage · 2023Article
- Spine-prints: Transposing brain fingerprints to the spinal cord.Imaging neuroscience (Cambridge, Mass.)Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
Resting functional magnetic resonance imaging (fMRI) studies have identified intrinsic spinal cord activity, which forms organised motor (ventral) and sensory (dorsal) resting-state networks. However, to facilitate the use of spinal fMRI in, for example, clinical studies, it is crucial to first assess the reliability of the method, particularly given the unique anatomical, physiological, and methodological challenges associated with acquiring the data. Here, we characterise functional connectivity relationships in the cervical cord and assess their between-session test-retest reliability in 23 young healthy volunteers. Resting-state networks were estimated in two ways (1) by estimating seed-to-voxel connectivity maps and (2) by calculating seed-to-seed correlations. Seed regions corresponded to the four grey matter horns (ventral/dorsal and left/right) of C5-C8 segmental levels. Test-retest reliability was assessed using the intraclass correlation coefficient. Spatial overlap of clusters derived from seed-to-voxel analysis between sessions was examined using Dice coefficients. Following seed-to-voxel analysis, we observed distinct unilateral dorsal and ventral organisation of cervical spinal resting-state networks that was largely confined in the rostro-caudal extent to each spinal segmental level, with more sparse connections observed between segments. Additionally, strongest correlations were observed between within-segment ipsilateral dorsal-ventral connections, followed by within-segment dorso-dorsal and ventro-ventral connections. Test-retest reliability of these networks was mixed. Reliability was poor when assessed on a voxelwise level, with more promising indications of reliability when examining the average signal within clusters. Reliability of correlation strength between seeds was highly variable, with the highest reliability achieved in ipsilateral dorsal-ventral and dorso-dorsal/ventro-ventral connectivity. However, the spatial overlap of networks between sessions was excellent. We demonstrate that while test-retest reliability of cervical spinal resting-state networks is mixed, their spatial extent is similar across sessions, suggesting that these networks are characterised by a consistent spatial representation over time.
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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.