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Chronic imaging of cortical sensory map dynamics using a genetically encoded calcium indicator
Matthias Minderer1, Wenrui Liu, Lazar T Sumanovski
1Brain Research Institute, Department of Neurophysiology, University of Zurich, Switzerland.
The Journal of Physiology
|November 16, 2011
Summary
This study introduces a new wide-field imaging technique for long-term monitoring of brain activity using genetically encoded calcium indicators. This method allows repeated measurements of cortical map dynamics over weeks, aiding in studying brain plasticity.
Area of Science:
- Neuroscience
- Optical Imaging
- Genetics
Background:
- Chronic in vivo optical imaging is crucial for understanding brain dynamics but current methods are limited.
- Investigating large-scale cortical activity requires sensitive and precise imaging techniques.
Purpose of the Study:
- To develop and validate a novel technique for long-term, repeated investigation of cortical map dynamics.
- To assess the utility of wide-field ratiometric fluorescence imaging with a specific genetically encoded calcium indicator (GECI) for chronic recordings.
Main Methods:
- Utilized wide-field ratiometric fluorescence imaging with Yellow Cameleon 3.60, a genetically encoded calcium indicator (GECI).
- Recorded sensory-evoked activity in the somatosensory cortex of anesthetized mice.
- Performed repeated imaging sessions over multiple weeks to assess longitudinal data acquisition.
Main Results:
- Wide-field GECI signals effectively reported sensory-evoked activity in the mouse somatosensory cortex.
- The technique demonstrated high sensitivity and spatiotemporal precision in capturing cortical dynamics.
- Successful repeated measurements were achieved across multiple weeks, confirming the method's suitability for longitudinal studies.
Conclusions:
- This wide-field GECI imaging method enables chronic recordings of cortical activity with high fidelity.
- The technique facilitates longitudinal studies on the stability and plasticity of cortical sensory representations.
- This approach offers new possibilities for long-term in vivo investigation of neural circuits.
