Target localization intervention and prognosis evaluation for an individual with mild cognitive impairment

Abstract

Currently, no specific treatments are available for Alzheimer's disease (AD). Mild cognitive impairment (MCI), the preclinical stage of AD, has a high possibility of reversing symptoms through neural regulation. A state dynamics model for single brain regions was developed to simulate blood oxygen level‐dependent signals in a patient with early mild cognitive impairment. Subsequently, the analysis of functional connections was used to comprehensively consider multiple complex network centralities to locate the intervention targets, and a multiple brain region collaborative control scheme was designed. Finally, the reliability and effectiveness of the intervention were verified at the brain region and subnetwork levels. This technique provides a basis for future clinical diagnosis and treatment of AD and MCI.

Virtual external stimulation promotes the transformation of the brain state from early mild cognitive impairment to health

“…[9,10] The global brain dynamics are formed by the local dynamics of nodes coupled by the anatomical structure, and the local dynamics can be expressed using different models, including the mean field model, [11] mesoscopic model, [9,12] and Hopf bifurcation model. [13] Theoretical stimulation of selected targets can be performed using brain models to rebalance the diseased brain state, [14,15] providing theoretical guidance for neurostimulation technology. The first step is to define the brain states of different populations through their potential dynamic behavior, thereby providing quantitative representations.…”