ArticleHuman brain mapping2023
Spatial distribution of hand-grasp motor task activity in spinal cord functional magnetic resonance imaging.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 18 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
- MRI mapping of hemodynamics in the human spinal cord.Scientific reports · 2025Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.bioRxiv : the preprint server for biology · 2025Article
- Coupling of Low Frequency Hemodynamic Oscillations Between the Brain and Spinal Cord.Human brain mapping · 2025Article
- Handgrip Strength in Heart Failure: Developing a Reference Equation.Arquivos brasileiros de cardiologia · 2025Article
- EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mapping hand function with simultaneous brain-spinal cord functional MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Spinal maps of motoneuron activity during human locomotion: neuromechanical considerations.Frontiers in physiology · 2024Review
- Recent developments and future avenues for human corticospinal neuroimaging.Frontiers in human neuroscience · 2024Review
- Functional magnetic resonance imaging of the lumbosacral cord during a lower extremity motor task.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Spatial distribution of hand-grasp motor task activity in spinal cord functional magnetic resonance imaging.Human brain mapping · 2023Article
- Data-driven denoising in spinal cord fMRI with principal component analysis.Imaging neuroscience (Cambridge, Mass.)Article
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5 authors at 1 institution in 1 country.
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Abstract
Upper extremity motor paradigms during spinal cord functional magnetic resonance imaging (fMRI) can provide insight into the functional organization of the cord. Hand-grasping is an important daily function with clinical significance, but previous studies of similar squeezing movements have not reported consistent areas of activity and are limited by sample size and simplistic analysis methods. Here, we study spinal cord fMRI activation using a unimanual isometric hand-grasping task that is calibrated to participant maximum voluntary contraction (MVC). Two task modeling methods were considered: (1) a task regressor derived from an idealized block design (Ideal) and (2) a task regressor based on the recorded force trace normalized to individual MVC (%MVC). Across these two methods, group motor activity was highly lateralized to the hemicord ipsilateral to the side of the task. Activation spanned C5-C8 and was primarily localized to the C7 spinal cord segment. Specific differences in spatial distribution are also observed, such as an increase in C8 and dorsal cord activity when using the %MVC regressor. Furthermore, we explored the impact of data quantity and spatial smoothing on sensitivity to hand-grasp motor task activation. This analysis shows a large increase in number of active voxels associated with the number of fMRI runs, sample size, and spatial smoothing, demonstrating the impact of experimental design choices on motor activation.
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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.