Optimizing intact skull intrinsic signal imaging for subsequent targeted electrophysiology across mouse visual cortex
Armel Nsiangani1,2, Joseph Del Rosario1, Alan C Yeh1
1Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, USA.
Scientific Reports
|February 9, 2022
Summary
This study presents a new intact skull intrinsic signal imaging (ISI) system for mice, enabling reliable, long-term neural activity mapping. The optimized system accurately identifies visual cortex areas, crucial for future electrophysiology studies.
Area of Science:
- Neuroscience
- Systems Neuroscience
Background:
- Repeatable neural activity measurements are vital for understanding brain function.
- Traditional intrinsic signal imaging (ISI) in mice often requires skull thinning or removal, impacting long-term stability for electrophysiology.
- This instability poses challenges for longitudinal studies, such as those involving behavioral training.
Purpose of the Study:
- To optimize and validate an intact skull intrinsic signal imaging (ISI) system in mice.
- To assess the reliability of retinotopic maps generated by ISI in the primary visual cortex (V1) and higher visual areas (HVAs).
- To verify the accuracy of ISI-derived retinotopy using electrophysiology weeks after imaging.
Main Methods:
- Developed and optimized an intact skull ISI system for mice.
- Assessed imaging quality and duration's impact on retinotopic map reliability in V1 and HVAs.
- Validated ISI map retinotopy against targeted, multi-site electrophysiology (local field potentials).
Main Results:
- Reliable retinotopic maps of V1 and HVAs were obtained with approximately 60 trials of imaging (65 ± 6 min).
- ISI maps demonstrated strong correlation with local field potential (LFP) retinotopy in superficial cortical layers (r² = 0.74–0.82).
- The intact skull ISI system proved suitable for long-term, multi-area electrophysiology.
Conclusions:
- An optimized intact skull ISI system provides reliable, repeatable neural activity mapping in mice.
- This non-invasive imaging approach supports long-term electrophysiological recordings weeks to months post-imaging.
- The system facilitates targeted, multi-area electrophysiology for advanced neuroscience research.


