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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Looking for complexity in quantitative semiology of frontal and temporal lobe seizures using neuroethology and graph theory

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Bertti, Poliana [1, 2] ; Tejada, Julian [2, 3] ; Pinheiro Martins, Ana Paula [1] ; Cleto Dal-Col, Maria Luiza [1, 2] ; Terra, Vera Cristina [1] ; Cortes de Oliveira, Jose Antonio [2] ; Velasco, Tonicarlo Rodrigues [1] ; Sakamoto, Americo Ceiki [1] ; Garcia-Cairasco, Norberto [1, 2]
Total Authors: 9
[1] Univ Sao Paulo, Ribeirao Preto Sch Med, Dept Neurosci & Behav Sci, Epilepsy Surg Ctr, USP, BR-14049900 Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Ribeirao Preto Sch Med, Dept Physiol, Neurophysiol & Expt Neuroethol Lab, USP, BR-14049900 Ribeirao Preto, SP - Brazil
[3] Univ Sao Paulo, Dept Phys, Ribeirao Preto Sch Philosophy Sci & Letters, BR-14049900 Ribeirao Preto, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Epilepsy & Behavior; v. 38, n. SI, p. 81-93, SEP 2014.
Web of Science Citations: 2

Epileptic syndromes and seizures are the expression of complex brain systems. Because no analysis of complexity has been applied to epileptic seizure semiology, our goal was to apply neuroethology and graph analysis to the study of the complexity of behavioral manifestations of epileptic seizures in human frontal lobe epilepsy (FLE) and temporal lobe epilepsy (TLE). We analyzed the video recordings of 120 seizures of 18 patients with FLE and 28 seizures of 28 patients with TLE. All patients were seizure-free > 1 year after surgery (Engel Class I). All patients' behavioral sequences were analyzed by means of a glossary containing all behaviors and analyzed for neuroethology (Ethomatic software). The same series were used for graph analysis (CYTOSCAPE (R)). Behaviors, displayed as nodes, were connected by edges to other nodes according to their temporal sequence of appearance. Using neuroethology analysis, we confirmed data in the literature such as in FLE: brief/frequent seizures, complex motor behaviors, head and eye version, unilateral/bilateral tonic posturing, speech arrest, vocalization, and rapid postictal recovery and in the case of TLE: presence of epigastric aura, lateralized dystonias, impairment of consciousness/speech during ictal and postictal periods, and development of secondary generalization. Using graph analysis metrics of FLE and TLE confirmed data from flowcharts. However, because of the algorithms we used, they highlighted more powerfully the connectivity and complex associations among behaviors in a quite selective manner, depending on the origin of the seizures. The algorithms we used are commonly employed to track brain connectivity from EEG and MRI sources, which makes our study very promising for future studies of complexity in this field. (C) 2014 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 05/56447-7 - Research through images from high field magnetic resonance aimed at studies in humans
Grantee:João Pereira Leite
Support type: Inter-institutional Cooperation in Support of Brain Research (CINAPCE) - Thematic Grants