Computational Models for Calcium-Mediated Astrocyte Functions.

Area of Science:

• Computational neuroscience
• Glial cell biology
• Astrocytic function modeling

Background:

• Computational neuroscience has primarily focused on neuronal modeling, neglecting glial cells like astrocytes.
• Astrocytic functions, including calcium dynamics, synchronization, and homeostasis, are increasingly studied using computational models.
• Hundreds of models exist, but a comprehensive overview and categorization are lacking.

Purpose of the Study:

• To present the state-of-the-art in computational modeling of astrocytes.
• To categorize existing models for easier use in future research.
• To identify gaps and challenges in astrocytic modeling.

Main Methods:

• Systematic review and categorization of approximately 100 computational models of astrocytes.
• Focus on models incorporating biophysical descriptions of calcium signaling and dynamics.
• Characterization based on model origins, described biological entities, and features.

Main Results:

• Models were categorized into single astrocyte, astrocyte network, neuron-astrocyte synapse, and neuron-astrocyte network types.
• Most models are variations of a few foundational models, often lacking clear lineage or novelty.
• Limited model availability online hinders reproducibility and further development.

Conclusions:

• Reproducible research is crucial for advancing computational astrocytic models.
• There is a need for better documentation and accessibility of existing models.
• This study provides the first detailed characterization of modeled biophysical and biochemical mechanisms in astrocytes.