The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives.

Area of Science:

• Neuroscience
• Network Theory
• Neurological Disorders

Background:

• Epilepsy is increasingly understood as a network disease, moving beyond the concept of a discrete epileptic focus.
• This network perspective spans multiple spatial and temporal scales within the brain.
• Understanding the dynamic, time-evolving nature of epileptic networks is crucial for advancing research and clinical practice.

Purpose of the Study:

• To review the conceptual foundations of network theory as applied to epilepsy.
• To critically examine current state-of-the-art recording techniques and analysis tools for characterizing time-evolving human epileptic brain networks.
• To identify shortcomings in current methodologies and suggest future developments for improved epilepsy management.

Main Methods:

• Discussion of network theory principles relevant to brain function.
• Critical review of advanced electrophysiological recording techniques (e.g., EEG, ECoG).
• Examination of computational analysis tools for network characterization (e.g., graph theory, time-series analysis).

Main Results:

• The shift to a network model has significantly advanced epilepsy understanding.
• Current methods allow for the assessment of complex, distributed epileptic networks.
• The dynamic evolution of these networks presents challenges for comprehensive characterization.

Conclusions:

• A network-centric approach is fundamental to modern epilepsy research and treatment.
• Novel analytical and recording techniques are essential for capturing the temporal dynamics of epileptic networks.
• Addressing current limitations holds promise for enhanced clinical management and personalized therapies for epilepsy.