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Related Concept Videos

Spinal Cord: Cross-sectional Anatomy01:16

Spinal Cord: Cross-sectional Anatomy

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The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
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Related Experiment Video

Updated: Aug 2, 2025

A Contusive Model of Unilateral Cervical Spinal Cord Injury Using the Infinite Horizon Impactor
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International spinal cord injury socio-demographic basic data set (version 1.0).

Yuying Chen1, Susan Charlifue2, Vanessa K Noonan3

  • 1Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA. yuyingchen@uabmc.edu.

Spinal Cord
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Summary

A new International Spinal Cord Injury (SCI) Socio-Demographic Basic Data Set was created. This dataset standardizes the collection of crucial socio-demographic information for SCI research and patient follow-up.

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Area of Science:

  • Rehabilitation Medicine
  • Public Health
  • Epidemiology

Background:

  • Standardized socio-demographic data collection is crucial for understanding the impact of spinal cord injury (SCI).
  • Existing data collection methods lack uniformity, hindering cross-study comparisons and comprehensive analysis.
  • The development of a consensus-based dataset is essential for advancing SCI research globally.

Purpose of the Study:

  • To establish an International Spinal Cord Injury (SCI) Socio-Demographic Basic Data Set (Version 1.0).
  • To create a standardized tool for collecting socio-demographic information relevant to SCI.
  • To facilitate consistent data reporting for SCI patients at injury and during follow-up.

Main Methods:

  • Literature review and consensus-based development process.
  • Iterative drafting, revision, and harmonization with parallel initiatives (e.g., NINDS SCI Common Data Elements).
  • Extensive review and feedback from international organizations, committees (ASIA, ISCoS), and individual experts.

Main Results:

  • The final International SCI Socio-Demographic Basic Data Set (Version 1.0) was established.
  • Key variables include: Date of data collection, Marital status, Household member count, Years of formal education, and Primary occupation.
  • The dataset provides a uniform framework for socio-demographic data in SCI.

Conclusions:

  • The International SCI Socio-Demographic Basic Data Set enables uniform data collection and reporting.
  • This standardization will improve the evaluation and comparison of SCI studies.
  • Facilitates consistent assessment of socio-demographic factors impacting individuals with SCI over time.