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Control analysis of deep brain stimulation and optogenetics for Alzheimer's disease under the computational cortex
Ya Zhang1,2, Honghui Zhang1,2, Zhuan Shen1,2
1School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an, 710072 Shanxi China.
Cognitive Neurodynamics
|November 27, 2025
Summary
Alzheimer's disease (AD) brain changes cause EEG slowdowns. Deep brain stimulation and optogenetics show potential for reversing these changes and treating cognitive decline.
Area of Science:
- Computational neuroscience
- Neurodegenerative diseases
- Biomedical engineering
Background:
- Alzheimer's disease (AD) is characterized by abnormal tau and beta-amyloid (Aβ) deposition, linked to cognitive decline and altered neural circuit dynamics.
- Specific electroencephalography (EEG) patterns, including decreased dominant frequency and altered alpha, delta, and theta rhythms, are observed in AD patients.
Purpose of the Study:
- To investigate how changes in neural circuit parameters induce EEG slowdowns characteristic of early AD.
- To evaluate the efficacy of deep brain stimulation (DBS) and optogenetic stimulation in modulating AD-related brain rhythms.
- To propose optimized optogenetic stimulation protocols for potential therapeutic intervention in AD.
Main Methods:
- Computational modeling to demonstrate the induction of EEG slowdowns by altered excitatory/inhibitory time constants and synaptic strength.
- Simulation of traditional DBS, modified DBS (oscillatory bursty stimulation), and optogenetic stimulation targeting pyramidal neurons and inhibitory interneurons.
- Analysis of stimulation parameters (frequency, amplitude, pulse width, light intensity) for their effects on AD pathology and brain rhythms.
Main Results:
- Changes in neural circuit parameters can indeed induce typical AD-related EEG slowdowns.
- High-frequency, high-pulse width, and high-amplitude DBS show effectiveness in reversing brain rhythms; oscillatory bursty stimulation improves low-amplitude DBS.
- Optogenetics allows precise neuronal targeting; medium and low-frequency stimulation appear more effective in reducing AD pathology, with higher light intensity needed for inhibitory interneurons.
Conclusions:
- Computational models can replicate AD-related EEG phenomena and provide insights into underlying mechanisms.
- DBS and optogenetics represent promising therapeutic avenues for AD, with specific parameters influencing efficacy.
- Optimized intermittent optogenetic stimulation protocols are proposed, warranting further investigation for cognitive dysfunction treatment.
