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Updated: Oct 16, 2025

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
The brainstem in multiple sclerosis: MR identification of tracts and nuclei damage
Thien Huong Nguyen1, Alexis Vaussy2, Violette Le Gaudu3
1Department of Neuro Imaging, C.H.N.O. des Quinze- Vingts, Paris, France. thnguyenfr@yahoo.fr.
Objective:
To evaluate the 3D Fast Gray Acquisition T1 Inversion Recovery (FGATIR) sequence for MRI identification of brainstem tracts and nuclei damage in multiple sclerosis (MS) patients.
Methods:
From april to december 2020, 10 healthy volunteers and 50 patients with remitted-relapsing MS (58% female, mean age 36) underwent MR imaging in the Neuro-imaging department of the C.H.N.O. des Quinze-Vingts, Paris, France. MRI was achieved on a 3 T system (MAGNETOM Skyra) using a 64-channel coil. 3D FGATIR sequence was first performed on healthy volunteers to classify macroscopically identifiable brainstem structures. Then, FGATIR was assessed in MS patients to locate brainstem lesions detected with Proton Density/T2w (PD/T2w) sequence.
Results:
In healthy volunteers, FGATIR allowed a precise visualization of tracts and nuclei according to their myelin density. Including FGATIR in MR follow-up of MS patients helped to identify structures frequently involved in the inflammatory process. Most damaged tracts were the superior cerebellar peduncle and the transverse fibers of the pons. Most frequently affected nuclei were the vestibular nuclei, the trigeminal tract, the facial nerve and the solitary tract.
Conclusion:
Combination of FGATIR and PD/T2w sequences opened prospects to define MS elective injury in brainstem tracts and nuclei, with particular lesion features suggesting variations of the inflammatory process within brainstem structures. In a further study, hypersignal quantification and microstructure information should be evaluated using relaxometry and diffusion tractography. Technical improvements would bring novel parameters to train an artificial neural network for accurate automated labeling of MS lesions within the brainstem.
Insights
The 3D Fast Gray Acquisition T1 Inversion Recovery (FGATIR) MRI sequence effectively identifies brainstem damage in multiple sclerosis (MS) patients. This advanced imaging technique reveals specific tracts and nuclei affected by inflammation, aiding in understanding MS progression.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Multiple sclerosis (MS) is a chronic inflammatory disease affecting the central nervous system.
- Brainstem involvement in MS can lead to significant neurological deficits.
- Accurate identification of brainstem lesions is crucial for understanding MS pathophysiology and progression.
Purpose of the Study:
- To evaluate the utility of the 3D Fast Gray Acquisition T1 Inversion Recovery (FGATIR) sequence for detecting brainstem tract and nuclei damage in MS patients.
- To assess the sensitivity of FGATIR in visualizing structures affected by the inflammatory process in MS.
Main Methods:
- A 3 Tesla MRI system with a 64-channel coil was used.
- The 3D FGATIR sequence was performed on 10 healthy volunteers and 50 MS patients.
- FGATIR was compared with Proton Density/T2-weighted (PD/T2w) sequences for lesion detection.
Main Results:
- FGATIR provided precise visualization of brainstem tracts and nuclei based on myelin density in healthy volunteers.
- In MS patients, FGATIR identified frequently affected structures, including the superior cerebellar peduncle, transverse pons fibers, vestibular nuclei, trigeminal tract, facial nerve, and solitary tract.
- The sequence highlighted structures involved in the inflammatory process of MS.
Conclusions:
- The combination of FGATIR and PD/T2w sequences offers a promising approach for defining MS-specific injuries in brainstem tracts and nuclei.
- Lesion characteristics observed with FGATIR may indicate variations in the inflammatory process within brainstem structures.
- Future research should explore hypersignal quantification and microstructure analysis with relaxometry and diffusion tractography for improved MS lesion characterization.
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