Mostafa Jalilifar1, Ali Yadollahpour2, Ahmad Ali Moazedi3, Zohreh Ghotbeddin4. 1. Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. 2. Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address: yadollahpour.a@gmail.com. 3. Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran. 4. Department of Physiology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran.
Abstract
PURPOSE: Determining different seizure stage specific features in a kindling model is a crucial step in developing efficient objective techniques for early prediction and treatment of seizures. This study identified and categorized kindling stages based on their electrophysiological features through processing extracellular field potentials of Amygdala rapid kindling. METHODS: Thirteen Wistar rats (200±10g) were divided into 2 groups including kindle (n=7) and sham (n=6) and respectively underwent an amygdala rapid kindling and placebo stimulation. EEG signals in each stage were classified into 7 bands: delta (0-4Hz), theta (4-8Hz), alpha (8-12Hz), low beta (12-16Hz), mid beta (16-20Hz), high beta (20-28Hz) and gamma (28-40Hz). Spectral power and power of sub bands of stage 3 (localized seizure stage (SS)) and stages 4 and 5 (generalized SSs) were compared between kindling and sham groups. RESULT: Spectral analyses showed larger spikes in delta and theta subbands in the stages of 3, 4, and 5 of kindling, compared with sham animals. Generalized SSs contained more spikes than the localized SS in the kindling. Kindling process was accompanied by reduction in high beta and gamma oscillations and increase in delta sub band power which were significant in the generalized SSs. The theta/alpha ratio in the localized SS was higher than the generalized SSs and sham group, but the difference with the sham group was statistically significant. CONCLUSION: Our results showed that reduced high beta and gamma and increased delta oscillations power are associated with behavioral seizure progression.
PURPOSE: Determining different seizure stage specific features in a kindling model is a crucial step in developing efficient objective techniques for early prediction and treatment of seizures. This study identified and categorized kindling stages based on their electrophysiological features through processing extracellular field potentials of Amygdala rapid kindling. METHODS: Thirteen Wistar rats (200±10g) were divided into 2 groups including kindle (n=7) and sham (n=6) and respectively underwent an amygdala rapid kindling and placebo stimulation. EEG signals in each stage were classified into 7 bands: delta (0-4Hz), theta (4-8Hz), alpha (8-12Hz), low beta (12-16Hz), mid beta (16-20Hz), high beta (20-28Hz) and gamma (28-40Hz). Spectral power and power of sub bands of stage 3 (localized seizure stage (SS)) and stages 4 and 5 (generalized SSs) were compared between kindling and sham groups. RESULT: Spectral analyses showed larger spikes in delta and theta subbands in the stages of 3, 4, and 5 of kindling, compared with sham animals. Generalized SSs contained more spikes than the localized SS in the kindling. Kindling process was accompanied by reduction in high beta and gamma oscillations and increase in delta sub band power which were significant in the generalized SSs. The theta/alpha ratio in the localized SS was higher than the generalized SSs and sham group, but the difference with the sham group was statistically significant. CONCLUSION: Our results showed that reduced high beta and gamma and increased delta oscillations power are associated with behavioral seizure progression.
Authors: James P Apland; Vassiliki Aroniadou-Anderjaska; Taiza H Figueiredo; Marcio De Araujo Furtado; Maria F M Braga Journal: Neurotox Res Date: 2018-04-30 Impact factor: 3.911
Authors: Lucille Lumley; Dennis Miller; William T Muse; Brenda Marrero-Rosado; Marcio de Araujo Furtado; Michael Stone; Jeffrey McGuire; Christopher Whalley Journal: Epilepsia Open Date: 2019-06-18
Authors: George Francisco S Santos; Luan Oliveira Ferreira; Bruna Gerrits Mattos; Eliniete J Fidelis; Alisson S de Souza; Paula S Batista; Cecilia A F Manoel; Diego Arthur C Cabral; Vanessa Jóia de Mello; Dielly Catrina Favacho Lopes; Moisés Hamoy Journal: Brain Behav Date: 2020-12-25 Impact factor: 3.405
Authors: Brenda Marrero-Rosado; Marcio de Araujo Furtado; Caroline R Schultz; Michael Stone; Erica Kundrick; Katie Walker; Sean O'Brien; Fu Du; Lucille A Lumley Journal: Epilepsia Date: 2018-10-25 Impact factor: 5.864