June 2nd, 2023
We describe a protocol for assessing dose-response curves for extracranial stimulation in terms of brain electrical field measurements and a relevant biomarker-cerebral blood flow. Since this protocol involves invasive electrode placement into the brain, general anesthesia is needed, with spontaneous breathing preferred rather than controlled respirations.
The cerebral blood flow can be measured by the degree of saturation of oxy deoxy hemoglobin. This increase in saturation is reduced with aging and in Alzheimer's model. We're estimating the strength of electrical stimulation using both applied currents and the intracranial electrical field density.
The most recent developments include improving extracranial stimulation for application to animal models of Alzheimer's disease. Currently, multiple imaging technologies in animal models, including laser spectral imaging, dual photo microscopy, and the physiological recording are used. The challenge is understanding the mechanistic basis for changes in dynamic cerebral blood flow responses in models of Alzheimer's disease.
We found the deficits in responses to metabolic challenges in Alzheimer's models mice, and applying extra cranial stimulation improves these deficits. The advantage of our protocol is that a stimulation-based approach improves cerebral blood flow.
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This study describes a protocol for assessing dose-response curves for extracranial stimulation through brain electrical field measurements and cerebral blood flow as a biomarker. The investigation focuses on the mechanistic understanding of dynamic cerebral blood flow responses, particularly in Alzheimer’s disease models, utilizing various imaging technologies.
Quantitative measurement of cerebral blood flow (CBF) and intracranial electrical fields in response to transcranial alternating current stimulation (tACS) enables mechanistic de-risking in neurovascular target validation. This protocol supports predictive confidence for early-stage discovery in neurodegenerative disease models, particularly Alzheimer's, by linking stimulation parameters to functional vascular outcomes. The approach informs portfolio decisions on neuromodulation strategies and translational biomarker development.
This protocol integrates from early discovery through preclinical research, enabling hypothesis testing and quantitative readouts for neuromodulation strategies.