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A Computational Diffusion MRI Framework for Biomarker Discovery in a Rodent Model of Post-Traumatic Epileptogenesis

Authors :
Olli Gröhn
Rachael Garner
Arthur W. Toga
Gregory Smith
Dominique Duncan
Eppu Manninen
Neil G. Harris
Ryan P. Cabeen
Asla Pitkänen
Riikka Immonen
Source :
ISBI
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Epilepsy is a debilitating neurological disorder that directly impacts millions of people and exerts a tremendous economic burden on society at large. While traumatic brain injury (TBI) is a common cause, there remain many open questions regarding its pathological mechanism. The goal of the Epilepsy Bioinformatics Study for Antiepilep-togenic Therapy (EpiBioS4Rx) is to identify epileptogenic biomarkers through a comprehensive project spanning multiple species, modalities, and research institutions; in particular, diffusion magnetic resonance imaging (MRI) is a critical component, as it probes tissue microstructure and structural connectivity. The project includes in vivo imaging of a rodent fluid-percussion model of TBI, and we developed a computational diffusion MRI framework for EpiBioS4Rx which employs advanced techniques for preprocessing, modeling, spatial normalization, region analysis, and tractography to derive imaging metrics at group and individual levels. We describe the system's design, present characteristic results from a longitudinal cohort, and discuss its role in biomarker discovery and further studies.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
Accession number :
edsair.doi...........5963bf6caad197b3b507ff8ae6a2c1a5
Full Text :
https://doi.org/10.1109/isbi45749.2020.9098575