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Updated: Feb 19, 2026

Clinical Testing and Spinal Cord Removal in a Mouse Model for Amyotrophic Lateral Sclerosis ALS
Published on: March 17, 2012
Spinal Cord Gray Matter Atrophy in Amyotrophic Lateral Sclerosis
M-Ê Paquin1,2, M M El Mendili3,4, C Gros2
1From the Faculté de Médecine (M.-Ê.P.).
This study found that gray matter atrophy in amyotrophic lateral sclerosis (ALS) is a sensitive biomarker. Measuring spinal cord gray matter may help predict disease progression and monitor ALS evolution.
Area of Science:
- Neurology
- Radiology
- Biomarker Discovery
Background:
- Amyotrophic lateral sclerosis (ALS) requires better biomarkers for clinical phenotyping and progression prediction.
- Current methods lack sufficient sensitivity for early detection and monitoring.
Purpose of the Study:
- To quantify cervical spinal gray matter atrophy in ALS patients.
- To investigate the association of this atrophy with clinical disability at baseline and after one year.
- To assess its potential as a predictive biomarker for ALS progression.
Main Methods:
- 3T MR imaging was used for 29 ALS patients and 22 healthy controls.
- Spinal cord, gray matter, and white matter cross-sectional areas were automatically measured.
- Correlations between atrophy and clinical scores at baseline and 1-year follow-up were analyzed.
Main Results:
- Gray matter atrophy was more sensitive than spinal cord atrophy in distinguishing ALS patients (P = .004 vs P = .02).
- Both gray matter and spinal cord areas correlated well with clinical scores at baseline (R = 0.56 and R = 0.55, respectively).
- Predictive accuracy for 1-year clinical scores improved from R² = 0.54 to R² = 0.74 when including gray and white matter areas.
Conclusions:
- Cervical spinal gray matter cross-sectional area shows potential as an MRI biomarker for ALS.
- This measure may aid in monitoring disease evolution and patient stratification.
- While modest improvements, it offers a valuable structural biomarker for ALS research.
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