Graph theory findings in the pathophysiology of temporal lobe epilepsy |
| |
Affiliation: | 1. Department of clinical neurophysiology EA 1048, Lille University Hospital, France;2. In-vivo Imaging Platform, IMPRT, Lille University Hospital, France;3. Epilepsy Unit, Hôpital de la Pitié-Salpêtrière, APHP, Paris, France;4. Centre de Neuroimagerie de Recherche (CENIR), Paris, France;5. Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Univ Paris 06 UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, F-75013, Paris, France;6. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany;7. INRIA, Aramis Team, Centre de Recherche Paris-Rocquencourt, France;8. Laboratoire de Neurosciences Fonctionnelles et Pathologies (EA 4559), Université Lille-Nord de France, France;1. Brain Institute/Onofre Lopes University Hospital, Federal University of Rio Grande do Norte (UFRN), Natal, Brazil;2. Department of Physics, UFRN, Natal, Brazil;3. Department of Physics, University of Sao Paulo, Ribeirao Preto, Brazil;1. IRCCS Centro Neurolesi “Bonino-Pulejo” Messina, Italy;2. Department of Biomedical and Dental Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy;1. Department of Neurology, Washington University, St. Louis, MO, USA;2. National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA;3. Department of Radiology, Washington University, St. Louis, MO, USA;4. Department of Neurological Surgery, Washington University, St. Louis, MO, USA;5. Department of Anatomy and Neurobiology, Washington University, St. Louis, MO, USA |
| |
Abstract: | Temporal lobe epilepsy (TLE) is the most common form of adult epilepsy. Accumulating evidence has shown that TLE is a disorder of abnormal epileptogenic networks, rather than focal sources. Graph theory allows for a network-based representation of TLE brain networks, and has potential to illuminate characteristics of brain topology conducive to TLE pathophysiology, including seizure initiation and spread. We review basic concepts which we believe will prove helpful in interpreting results rapidly emerging from graph theory research in TLE. In addition, we summarize the current state of graph theory findings in TLE as they pertain its pathophysiology. Several common findings have emerged from the many modalities which have been used to study TLE using graph theory, including structural MRI, diffusion tensor imaging, surface EEG, intracranial EEG, magnetoencephalography, functional MRI, cell cultures, simulated models, and mouse models, involving increased regularity of the interictal network configuration, altered local segregation and global integration of the TLE network, and network reorganization of temporal lobe and limbic structures. As different modalities provide different views of the same phenomenon, future studies integrating data from multiple modalities are needed to clarify findings and contribute to the formation of a coherent theory on the pathophysiology of TLE. |
| |
Keywords: | Graph theory Temporal lobe epilepsy Pathophysiology Functional connectivity Diffusion tensor imaging Small-world networks |
本文献已被 ScienceDirect 等数据库收录! |
|