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All-optical interrogation of millimeter-scale networks and application to developing ferret cortex
Haleigh N Mulholland1, Harishankar Jayakumar1, Deano M Farinella1
1Optical Imaging and Brain Sciences Medical Discovery Team, Department of Neuroscience, University of Minnesota, 2021 6th Street SE, Minneapolis, MN 55455, USA.
Journal of Neuroscience Methods
|December 25, 2023
Summary
Researchers developed an opto-macroscope, an all-optical system for brain research. This tool allows simultaneous large-scale neural activity imaging and optogenetic manipulation, advancing the study of neural networks underlying perception and behavior.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Optical Imaging and Stimulation
Background:
- Neural circuits spanning millimeters are crucial for perception and behavior.
- In vivo calcium imaging and optogenetics are powerful tools for studying large-scale neural networks.
- Simultaneous measurement and manipulation of millimeter-scale neural circuits are needed.
Purpose of the Study:
- To introduce a novel opto-macroscope system.
- To enable artifact-free, all-optical, simultaneous large-scale neural imaging and optogenetic stimulation.
- To investigate millimeter-scale neural circuits.
Main Methods:
- Developed an opto-macroscope, an all-optical system.
- Achieved patterned optogenetic stimulation with high spatial and temporal resolution across millimeters.
- Enabled simultaneous imaging of functional neural activity.
Main Results:
- Demonstrated direct manipulation of cortical regions from hundreds of microns to several millimeters.
- Showcased perturbation of individual brain areas and functional networks.
- Successfully reactivated complex neural networks in developing ferret visual cortex using patterned optogenetic stimuli.
Conclusions:
- The opto-macroscope extends current all-optical and mesoscopic optogenetic techniques.
- It overcomes limitations of cellular-scale multiphoton stimulation and techniques lacking simultaneous readouts.
- Provides a powerful tool for investigating the role of cortical domains in neural networks underlying perception and behavior.

