研究目的
To investigate the neuronal basis of resting-state functional connectivity (FC) in human fMRI using mouse optical imaging methods, specifically by simultaneously monitoring neuronal and hemodynamic activity in transgenic mice expressing GCaMP.
研究成果
The study demonstrates that simultaneous imaging of neuronal calcium and hemodynamic signals in transgenic mice reveals that resting-state FC in hemodynamic signals reflects underlying neuronal activity, including global waves and transient coactivations. This method provides insights into the neuronal basis of FC and suggests that mouse models can address key questions in human fMRI, with potential applications in studying mental diseases and developmental changes.
研究不足
The experiments are conducted under anesthetized conditions, which may affect the natural state of brain activity. The signal-to-noise ratio in mouse data might be superior to human fMRI, potentially limiting direct comparisons. Future work is needed in awake mice to clarify the impact of behavior on spontaneous activity.
1：Experimental Design and Method Selection:
The study uses transgenic mice expressing a genetically encoded calcium indicator (GCaMP) in neocortical neurons to enable optical recording of neuronal activity with high spatiotemporal resolution. A method is devised for simultaneous monitoring of neuronal calcium signals (using green light at 530 nm) and hemodynamic activity (using optical intrinsic signals at red light, 630 nm, which primarily reflects deoxyhemoglobin).
2：Sample Selection and Data Sources:
Transgenic mice are used as the model system. Data are acquired from the dorsal neocortex of these mice under anesthetized conditions.
3：List of Experimental Equipment and Materials:
Equipment includes optical imaging setups with specific wavelengths (530 nm and 630 nm) for fluorescence and intrinsic signal detection. Materials include transgenic mice expressing GCaMP.
4：Experimental Procedures and Operational Workflow:
Mice are prepared for imaging; neuronal and hemodynamic activities are recorded simultaneously. Data collection involves capturing spontaneous activity, and analysis includes calculating temporal correlations and spatial patterns of FC.
5：Data Analysis Methods:
Statistical techniques are used to analyze the relationship between neuronal and hemodynamic signals, including correlation analyses and phase calculations. Software tools for image processing and data analysis are implied but not specified.
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