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Related Concept Videos

The Spinal Cord01:54

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The spinal cord is the body’s major nerve tract of the central nervous system, communicating afferent sensory information from the periphery to the brain and efferent motor information from the brain to the body. The human spinal cord extends from the hole at the base of the skull, or foramen magnum, to the level of the first or second lumbar vertebra.
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Spinal Cord01:26

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Related Experiment Video

Updated: Sep 9, 2025

Combining Peripheral Nerve Grafting and Matrix Modulation to Repair the Injured Rat Spinal Cord
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Rootlets-based registration to the PAM50 spinal cord template.

Sandrine Bédard1, Jan Valošek1,2,3,4, Valeria Oliva5,6

  • 1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.

Imaging Neuroscience (Cambridge, Mass.)
|August 29, 2025
PubMed
Summary
This summary is machine-generated.

A new spinal cord imaging method using nerve rootlets improves anatomical alignment for functional MRI (fMRI) group analyses. This rootlet-based registration enhances accuracy and reproducibility, leading to more reliable neuroimaging results.

Keywords:
nerve rootletsregistrationspatial normalizationspinal cordtemplate

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Area of Science:

  • Neuroimaging
  • Spinal Cord Anatomy
  • Medical Image Analysis

Background:

  • Spinal cord functional MRI (fMRI) requires precise anatomical localization for group analyses.
  • Traditional methods using intervertebral discs for registration suffer from anatomical variability.
  • Improved alignment is crucial for reliable voxel-wise group analyses in spinal cord studies.

Purpose of the Study:

  • To develop and validate a novel registration method for spinal cord fMRI using dorsal cervical rootlets.
  • To enhance alignment accuracy and reproducibility across individuals and varying neck positions.
  • To compare the performance of rootlet-based registration against traditional disc-based methods in group-level fMRI analyses.

Main Methods:

  • Developed a non-linear registration method aligning segmented dorsal cervical rootlets with the PAM50 spinal cord template.
  • Validated the method on large multi-subject, multi-site datasets (n=267) and datasets with varied neck positions (n=10).
  • Compared group-level activation maps from task-based fMRI (n=23) using rootlet-based versus disc-based registration.

Main Results:

  • Rootlet-based registration demonstrated superior alignment compared to disc-based methods in 226 individuals for general analysis and 176 for morphological analysis.
  • Rootlet positions showed greater stability across different neck positions.
  • Task-based fMRI analysis revealed increased Z scores and significantly larger activation cluster sizes (3292 to 7978 voxels) with rootlet-based registration.

Conclusions:

  • Rootlet-based registration significantly improves inter- and intra-subject anatomical alignment in spinal cord imaging.
  • This method enhances spatial normalization for group-level fMRI analyses, increasing precision and reliability.
  • The findings support the potential of rootlet-based registration for advancing spinal cord neuroimaging.