Electrical stimulation is widely used to activate and/or disrupt neuronal activity. Despite its critical importance in experimental and clinical neuroscience, at present, there is no validated method to predict which neural elements of the brain will be activated by a given stimulation regime. Based on our pilot studies, we propose here to develop a novel computational approach for predicting the specific neurons which will be activated by a given stimulation protocol, based on neuron shape, location, type and connectivity. We will use biophysical modeling to calculate the spatial distribution of activating currents, and then convolve this distribution with the spatial distribution and orientation of the axons and dendrites of the major pyramidal and interneuron cell types to determine their probability of firing. We will then propagate this activity through the cortical circuitry. We will model different species (rats, mice, humans) and cortical areas (primary sensory and associative). We will examine the effects of sleep stage and background activity, including characteristic sleep rhythms, on the evoked thalamocortical network activity. The predictions of the model will be validated with extensive empirical measurements, primarily calcium imaging in mice using advanced microscopy methods that allow the entire relevant cortical volume to be characterized at high resolution. Cell type specific labeling and anatomical reconstructions will permit identification of different neuronal populations and measurement of their activation probability. This will be supplemented by voltage-sensitive dye imaging and laminar electrophysiological recordings to provide temporal resolution. The laminar recordings will be repeated in humans, in both acute intraoperative and semi-chronic settings. The models will be modified in light of the validation studies. The integrated biophysical and neural model with documentation and tutorials will be made available on the web.

Public Health Relevance

The proposed studies will greatly enhance our ability to predict the effects of electrical stimulation on the brain. Electrical stimulation is widely used in animals to understand the neural basis of behavior, and in humans to treat neurological and psychiatric disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
1R01NS109553-01A1
Application #
9800559
Study Section
Emerging Imaging Technologies in Neuroscience Study Section (EITN)
Program Officer
Kukke, Sahana Nalini
Project Start
2019-09-01
Project End
2024-06-30
Budget Start
2019-09-01
Budget End
2020-06-30
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093