Activity-dependent switches between dynamic regimes of extracellular matrix expression

Area of Science:

• Neuroscience
• Biochemistry
• Computational Biology

Background:

• The extracellular matrix (ECM) is crucial for neuronal excitability and synaptic plasticity.
• Neural ECM formation is activity-dependent and stabilizes neural networks during development.
• ECM remodeling by proteases is essential for physiological synaptic plasticity.

Purpose of the Study:

• To investigate if ECM remodeling can be pathologically exaggerated.
• To explore activity-dependent switches in ECM expression regimes.
• To model ECM-neuronal interactions and their impact on brain states.

Main Methods:

• Analytical modeling of neuronal activity, ECM expression, and protease activity.
• Analysis of feedback mechanisms between ECM and neuronal function.
• Simulation of ECM expression dynamics under different influence scenarios.

Main Results:

• ECM-neuronal interactions can lead to bistability in ECM expression (two stable states).
• Protease-dependent bistability occurs when ECM predominantly inhibits neuronal activity.
• Excitatory ECM-neuron feedback can induce spontaneous oscillations in ECM expression.

Conclusions:

• ECM-neuronal interactions can facilitate dynamic regime shifts in ECM expression.
• These shifts may underlie transitions into disease states linked to ECM remodeling.
• The study provides a theoretical framework for understanding ECM's role in brain pathophysiology.