Integration of myelin-sensitive biophysical features in virtual brain models: towards healthy and pathological Brain Digital Twins

Motivation: The Virtual Brain (TVB) is a neuroinformatic platform used to perform brain dynamic simulations integrating subject-specific imaging data. In standard TVB the input conduction velocity is fixed, making it insensitive to local effective measures of myelin content. Goal(s): Here we parameterized signal conduction velocity for TVB simulations. Approach: Considering myelin role in efficient neural conduction, myelin measures were integrated into TVB. Results: Making TVB sensitive to myelin content highlights variations in simulation outcomes with potential improvements in capturing spatiotemporal dynamics of brain activity. This advancement opens perspectives for realizing more accurate subject-specific simulations, representing a new step towards brain digital twinning. Impact: Brain Digital Twin technologies will transform personalized medicine, providing a better understanding of pathophysiological underpinnings of diseases. Our study demonstrates how simulating brain activity with The Virtual Brain model improves when integrating subject-specific neural conduction values, calculated from myelin measures.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/1111
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of myelin-sensitive biophysical features in virtual brain models: towards healthy and pathological Brain Digital Twins

Nicolò Rolandi, Fulvia Palesi, Alessandra Marinelli, Elena Grosso et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

Integration of myelin-sensitive biophysical features in virtual brain models: towards healthy and pathological Brain Digital Twins

Nicolò Rolandi, Fulvia Palesi, Alessandra Marinelli, Elena Grosso, Jed Wingrove, Claudia A. M. Gandini Wheeler‐Kingshott, Francesco Grussu, Marios Yiannakas, Marta Gaviraghi, Ferrán Prados, Madiha Shatila, Egidio D’Angelo, Baris Kanber, Rebecca S. Samson, Marco Battiston, Anita Monteverdi, Antonio Ricciardi, Eleonora Lupi, Claudia Casellato
article en

Abstract

Motivation: The Virtual Brain (TVB) is a neuroinformatic platform used to perform brain dynamic simulations integrating subject-specific imaging data. In standard TVB the input conduction velocity is fixed, making it insensitive to local effective measures of myelin content. Goal(s): Here we parameterized signal conduction velocity for TVB simulations. Approach: Considering myelin role in efficient neural conduction, myelin measures were integrated into TVB. Results: Making TVB sensitive to myelin content highlights variations in simulation outcomes with potential improvements in capturing spatiotemporal dynamics of brain activity. This advancement opens perspectives for realizing more accurate subject-specific simulations, representing a new step towards brain digital twinning. Impact: Brain Digital Twin technologies will transform personalized medicine, providing a better understanding of pathophysiological underpinnings of diseases. Our study demonstrates how simulating brain activity with The Virtual Brain model improves when integrating subject-specific neural conduction values, calculated from myelin measures.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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