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

  • Weiping Wang
  • , Haiyan Zhao
  • , Chang He
  • , Yuanbo Cui
  • , Zhen Wang
  • , Alexander Hramov
  • , Ping Luan
  • , Xiong Luo
  • , Jipeng Ouyang
  • , Kurths Jürgen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 languageEnglish
Article numbere25
JournalBrain-X
Volume1
Issue number3
DOIs
StatePublished - Sep 2023

Keywords

  • Alzheimer's disease
  • BOLD signals
  • Sub_network
  • adaptive pinning control
  • computational modeling

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