Unveiling the functional connectivity of astrocytic networks with AstroNet, a graph reconstruction algorithm coupled to image processing
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Abstract
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Stability of AstroNet pipeline based on time-lapse experiments.
How do these metrics (and stability) differ between the hippocampus and cortex recordings?
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However, to further investigate how the functional astrocytic networks obtained by AstroNetdiffer from the quantification of physical connections made by diffusion through gap junc-tions, we use a pipette filled with biocytin.
How would you predict that pharmacological or genetic manipulation of gap junctions affect the connectivity networks? Have you tested this experimentally?
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AstroNet pipeline.
Regarding co-activation on short (second-long) timescales, I'm wondering how you square this with our recent work (https://doi.org/10.1038/s41586-024-07311-5) showing that subcellular activity in astrocytes percolates through the gap junctionally coupled network on the order of minutes, and other astrocyte research showing much longer timescales of activity.
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the motor cortex (CTX).
What layers of cortex were you recording from, and how might you expect layers to influence these area-level differences you describe?
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brqin
Note typo
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From each active astrocyte ROI, we extracted the individual fluorescence time-series.
For this analysis, it seems that all the calcium activity in an individual astrocyte is grouped together to generate the time-series data. If this is the case, how is the subcellular activity that characterizes these astrocytes accounted for, and how might that affect the findings here?
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