Taswell2025NCDTGN

Title

Temporal-Spatial Graphs for Lesions in Serial Scans with Neural Imaging
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Authors

Carl Taswell

Affiliations

Brain Health Alliance, Ladera Ranch, California

Abstract

The phrase 'neural dynamics' has diverse interpretations across various research fields, spanning artificial and biological networks, from deterministic to statistical models, and dynamic graphs to differential equations. This report provides a practical interpretation of neural dynamics appropriate for analyzing neural imaging scans from the EPSMS Clinical Trial on entire-body PET scans for multiple sclerosis (MS) patients. This approach involves observing the changing function of the brain and nervous system over time and space to monitor demyelination and remyelination events in MS. For medical imaging scans, abnormalities called lesions appear as hyper- or hypo-intensities that can change in size, shape, location, and activity over a series of scans. The analysis proposes a formal definition of temporal-spatial graphs to model these lesions in serial scans. This graph-based approach tracks lesions across time-ordered scans, linking neuroanatomically adjacent lesions across different time points to better understand the progression of MS.

KeyPhrases

Neural dynamics, neural imaging, serial-scan lesions, temporal-spatial graphs.

Dates

Created 2024-12-12, presented 2025-06-02, updated 2025-10-31, published 2025-10-31.

Citation

Brainiacs Journal 2025 Volume 6 Issue 1 Edoc NA767199F
DOI: 10.48085/NA767199F
NPDS: LINKS/Brainiacs/Taswell2025NCDTGN