Effect of antiepileptic drugs and of epileptiform discharges in the functional connectivity of patients with juvenile myoclonic epilepsy

• Grant number: 16/17914-3
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2017
• End date: January 31, 2019
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Luiz Eduardo Gomes Garcia Betting
• Grantee: Luiz Eduardo Gomes Garcia Betting
• Host Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

Epilepsy is a chronic neurological disease characterized by the presence of one or more unprovoked seizures, associated with high risk of recurrence. The diagnosis of epilepsy is made by careful clinical history. The interpretation of the semiology of seizures with electroencephalogram (EEG) record allows the classification of epilepsies in several epileptic syndromes. Generalized seizures are seizures that rapidly engage bilaterally distributed networks. Genetic generalized epilepsies correspond to 20% of all epilepsies and juvenile myoclonic epilepsy (JME) is the most common subtype. The EEG may show the typical generalized epileptiform discharges with normal background. Most patients have control of seizures with antiepileptic drugs (AEDs) available. Routine neuroimaging is normal and in typical cases is not required. However, quantitative techniques demonstrate abnormalities in these patients and has contributed to a better understanding of the pathophysiology of JME. This research will evaluate clinical data, EEG, serum levels of AEDs and functional magnetic resonance imaging (fMRI) connectivity of 40 patients with JME. The aim of this study is to evaluate the interaction between these items and investigate the pathophysiology of JME. More specifically, the frequency of generalized discharges, level and appropriateness of medication and frequency of seizures will be correlated with neural networks in patients with JME. This correlation will be able to test the main hypothesis of this study, which is the existence of a neural network directly related with the generalized discharges and influenced by AEDs. This finding could represent a marker for neuroimaging EMJ assisting in treatment and therapeutic monitoring of these patients. (AU)

Scientific publications

(9)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

TOMANIK, GUSTAVO H.; BETTING, LUIZ E.; CAMPANHARO, ANDRIANA S. L. O.; ROJAS, I; JOYA, G; CATALA, A. Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks. ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I, v. 11506, p. 10-pg., 2019-01-01. (17/09216-7, 16/17914-3, 18/25358-9, 18/02014-2)

MEIRA, ALEX TIBURTINO; ALVES, KAREN FERNANDA; REZENDE, THAIS O. P.; SCHELP, ARTHUR OSCAR; BETTING, LUIZ EDUARDO. Source Analysis of Triphasic Waves Using Quantitative Neuroimaging. JOURNAL OF CLINICAL NEUROPHYSIOLOGY, v. 39, n. 6, p. 8-pg., 2022-09-01. (16/17914-3)

GONCALVES, MAICON GABRIEL; LUIZA PIVA, MARIANA FLORIANO; SACOMANI MARQUES, CARLOS LEONARDO; MOLLE DA COSTA, RAFAEL DALLE; BAZAN, RODRIGO; LUVIZUTTO, GUSTAVO JOSE; GOMES GARCIA BETTING, LUIZ EDUARDO. Efeitos da terapia de realidade virtual na função do membro superior após AVC e o papel da neuroimagem como preditor de melhor resposta. Arquivos de Neuro-Psiquiatria, v. 76, n. 10, p. 654-662, OCT 2018. (16/17914-3)

SANCHES, PATRICIA; FUJISAO, ELAINE KEIKO; BRAGA, ALINE M. S.; CRISTALDO, NATHALIA RAQUEL; DOS REIS, ROBERTO; YAMASHITA, SEIZO; BETTING, LUIZ EDUARDO. Voxel-based analysis of diffusion tensor imaging in patients with mesial temporal lobe epilepsy. Epilepsy Research, v. 132, p. 100-108, MAY 2017. (16/17914-3, 11/02961-2)

PINEDA, ARUANE MELLO; RAMOS, FERNANDO M.; BETTING, LUIZ EDUARDO; CAMPANHARO, ANDRIANA S. L. O.; ROJAS, I; JOYA, G; CATALA, A. Use of Complex Networks for the Automatic Detection and the Diagnosis of Alzheimer's Disease. ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I, v. 11506, p. 12-pg., 2019-01-01. (16/17914-3, 18/25358-9)

FUJISAO, ELAINE KEIKO; ALVES, KAREN FERNANDA; REZENDE, THAIS O. P.; BETTING, LUIZ EDUARDO. Analysis of Interictal Epileptiform Discharges in Mesial Temporal Lobe Epilepsy Using Quantitative EEG and Neuroimaging. FRONTIERS IN NEUROLOGY, v. 11, NOV 26 2020. (16/17914-3)

PINEDA, ARUANE M.; RAMOS, FERNANDO M.; BETTING, LUIZ EDUARDO; CAMPANHARO, ANDRIANA S. L. O.. Quantile graphs for EEG-based diagnosis of Alzheimer's disease. PLoS One, v. 15, n. 6, JUN 5 2020. (16/17914-3, 18/25358-9)

BETTING, LUIZ; FUJISAO, ELAINE; ALVES, KAREN; REZENDE, THAIS. Involvement of Different Networks in Mesial Temporal Lobe Epilepsy Subtypes Identified by Interictal EEG Source Analysis and Structural Neuroimaging. Neurology, v. 90, p. 2-pg., 2018-04-10. (16/17914-3)

BAIMA, CAMILA BONFANTI; FIM, NATALIA CASTRO; ALVES, KAREN FERNANDA; DE LIMA RESENDE, LUIZ ANTONIO; FONSECA, RONALDO GUIMARAES; BETTING, LUIZ EDUARDO. Analysis of patients with obstructive sleep apnea with and without pharyngeal myopathy using brain neuroimaging. Sleep, v. 43, n. 2, FEB 2020. (16/17914-3)