Network models of neurodegeneration: neuronal dynamics and disease progression

• Neurodegenerative diseases are characterized by accumulation of misfolded proteins and widespread disruptions in brain function.¹
• One class of computational models uses neural mass and whole-brain frameworks to simulate changes in oscillations, connectivity, and network stability.¹
• A second class focuses on biological processes underlying disease.¹
• The review bridges neuronal dynamics and disease progression in network modeling of neurodegeneration.^{1 1}

Footnotes

1. http://ieeexplore.ieee.org/document/11357276 ↩ ↩² ↩³ ↩⁴ ↩⁵