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Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study
P Sorrentino1,2, S Petkoski3, M Sparaco4
1Institut de Neurosciences des Systèmes, Aix-Marseille Université, 13005 Marseille, France pierpaolo.sorrentino@univ-amu.fr viktor.jirsa@univ-amu.fr.
Summary
Researchers developed a new method to measure brain signal delays using MEG/EEG and tractography. This approach reveals how structural connections impact signal speed, aiding in understanding neurological conditions like multiple sclerosis.
Area of Science:
- Neuroscience
- Biophysics
- Medical Imaging
Background:
- Brain region interactions are influenced by structural connectivity (bundle length, width, myelination, topology).
- Understanding the timing of neural communication is crucial for brain function.
- Existing methods lack in vivo, whole-brain, and single-tract level analysis of functional delays.
Purpose of the Study:
- To introduce and validate an in vivo approach for measuring functional delays across the human brain.
- To integrate magnetoencephalography/electroencephalography (MEG/EEG) data with structural bundle information.
- To create a topochronic map of functional delays and velocities at the single-subject and single-tract level.
Main Methods:
- Developed an in vivo approach combining MEG/EEG with diffusion MRI tractography.
- Measured functional delays and estimated conduction velocities across the whole brain.
- Created a topochronic map correlating structural bundle properties with functional transmission speeds.
Main Results:
- Larger structural brain bundles exhibit faster signal velocities.
- Multiple sclerosis patients show increased network delays compared to controls.
- Structurally lesioned tracts in patients exhibit significantly slower conduction velocities.
Conclusions:
- The novel framework enables patient-specific estimation of functional transmission delays and conduction velocities in the central nervous system (CNS).
- This method is applicable to both healthy and diseased individuals, including those with conditions affecting myelin.
- The findings provide a new tool for assessing brain network integrity and the impact of white matter damage on neural communication.

