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.
| Original language | English |
|---|---|
| Article number | e25 |
| Journal | Brain-X |
| Volume | 1 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2023 |
Keywords
- Alzheimer's disease
- BOLD signals
- Sub_network
- adaptive pinning control
- computational modeling
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