Functional and structural brain networks in epilepsy: What have we learned?
TLDR
This review focuses on the application of a theory, called “network analysis,” to characterize resting‐state functional and structural networks and discusses current and future clinical applications of network analysis in patients with epilepsy.Abstract:
Brain functioning is increasingly seen as a complex interplay of dynamic neural systems that rely on the integrity of structural and functional networks. Recent studies that have investigated functional and structural networks in epilepsy have revealed specific disruptions in connectivity and network topology and, consequently, have led to a shift from "focus" to "networks" in modern epilepsy research. Disruptions in these networks may be associated with cognitive and behavioral impairments often seen in patients with chronic epilepsy. In this review, we aim to provide an overview that would introduce the clinical neurologist and epileptologist to this new theoretical paradigm. We focus on the application of a theory, called "network analysis," to characterize resting-state functional and structural networks and discuss current and future clinical applications of network analysis in patients with epilepsy.read more
Citations
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Modern network science of neurological disorders
TL;DR: Modern network science has revealed fundamental aspects of normal brain-network organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and rich clubs, to use to gain a better understanding of brain disease.
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Defining epileptogenic networks: Contribution of SEEG and signal analysis
Fabrice Bartolomei,Stanislas Lagarde,Fabrice Wendling,Fabrice Wendling,Aileen McGonigal,Viktor K. Jirsa,Maxime Guye,Christian Bénar +7 more
TL;DR: The historical, methodologic, and conceptual bases of the epileptogenic networks model are described in the analysis of electrophysiologic intracerebral recordings for better predicting the effects of epilepsy surgery.
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The trees and the forest: Characterization of complex brain networks with minimum spanning trees.
Cornelis J. Stam,Prejaas Tewarie,E. van Dellen,E.C.W. van Straaten,Arjan Hillebrand,P. Van Mieghem +5 more
TL;DR: A minimum spanning tree (MST) is explained, a unique acyclic subgraph that connects all nodes and maximizes a property of interest such as synchronization between brain areas and how this may simplify the construction of simple generative models of normal and abnormal brain network organization.
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The minimum spanning tree: An unbiased method for brain network analysis
TL;DR: It is demonstrated that the MST is insensitive to alterations in connection strength or link density, and the behavior of MST and conventional network-characteristics for simulated regular and scale-free networks that were gradually rewired to random networks were explored.
Journal ArticleDOI
Seizure prediction - ready for a new era
Levin Kuhlmann,Levin Kuhlmann,Klaus Lehnertz,Mark P. Richardson,Björn Schelter,Hitten P. Zaveri +5 more
TL;DR: Advances over the past decade that have set the stage for a resurgence in attempts to predict seizures in epilepsy are considered, and new avenues of investigation that combine mechanisms, models, data, devices and algorithms are proposed.
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