Achieving Control of Lesion Growth in CNS with Minimal Damage

TL;DR

This paper presents a model demonstrating how optimal control parameters can minimize damage while effectively controlling lesion growth in CNS diseases like MS and Alzheimer's.

Contribution

It identifies an optimal parameter set that minimizes system damage while controlling lesion growth, advancing previous models of CNS lesion management.

Findings

Optimal parameters exist for lesion control.

Control parameters minimize CNS damage.

Model separates controlled and uncontrolled growth regions.

Abstract

Lesions in central nervous system (CNS) and their growth leads to debilitating diseases like Multiple Sclerosis (MS), Alzheimer's etc. We developed a model earlier which shows how the lesion growth can be arrested through a beneficial auto-immune mechanism. The success of the approach depends on a set of control parameters and their phase space was shown to have a smooth manifold separating the uncontrolled lesion growth region from the controlled. Here we show that an optimal set of parameter values exist which minimizes system damage while achieving control of lesion growth.