Study of neurovascular coupling by using mesoscopic and microscopic imaging
Congping Chen1,2,3, Zhentao She1,2,3, Peng Tang4,5
1Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, P. R. China.
Iscience
|October 25, 2021
Summary
Neurovascular coupling (NVC) links brain activity and blood flow. This study reveals how brain states like anesthesia disrupt NVC at different scales, impacting brain function.
Area of Science:
- Neuroscience
- Physiology
- Biomedical Imaging
Background:
- Neurovascular coupling (NVC) is critical for brain function, linking neuronal activity to cerebral blood flow.
- Disruptions in NVC are implicated in various neuropathologies, necessitating detailed study.
- High spatiotemporal resolution imaging across multiple scales is required for a comprehensive understanding of NVC.
Purpose of the Study:
- To develop and apply concurrent multi-contrast mesoscopic and two-photon microscopic imaging for studying neurovascular dynamics.
- To investigate the spatiotemporal correlation between neuronal and vascular responses in live mice.
- To explore the impact of different brain states on NVC at regional and microvascular levels.
Main Methods:
- Concurrent multi-contrast mesoscopic and two-photon microscopy in live mouse cortices.
- Simultaneous imaging of neuronal and vascular signals.
- Investigation of sensory-evoked responses in the auditory cortex.
- Analysis of NVC across different brain states (e.g., anesthesia, sedation).
Main Results:
- Significant differences in NVC were observed at regional and microvascular levels.
- Distinct effects of various brain states on NVC were identified.
- Anesthesia and sedation were found to cause spatiotemporal disruption of NVC in large cortical networks.
Conclusions:
- Brain states profoundly influence neurovascular coupling dynamics.
- Anesthesia and sedation disrupt NVC, potentially affecting brain function and interpretation of experimental results.
- The developed imaging approach provides novel insights into NVC across multiple scales and brain states.


