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    Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity
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    Dataset for the publication: 'Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity 'Rigoni et al. 2023, Neurobiology of Disease, doi: https://doi.org/10.1016/j.nbd.2023.106382 Dataset description Data\data2publish\sub- : 50 epochs of raw epicranial EEG data (31 x 8001 x 50, channels x time x n_epochs, Fs=4k Hz). The epochs are available for 29 mice, on different sessions (ses-d0, ses-d28, ses-d29) depending on the animal Data\data2publish\EA_info.xlsx: number of epileptiform activities automatically detected for each animal at d28 and d29 Data\data2publish\derivatives\eeg_preprocessing: results of the script A_EEG_preprocessing.m, for each animal and session Data\data2publish\derivatives\elec_layout: different layouts used to plot results. Mouse_layout_modif is the one used in Fig 4 Data\data2publish\derivatives\network_metrics_wpli: results of network analyses (script C_network_analyses.m) Data\data2publish\derivatives\wpli: connectivity matrices (30 x 30) obtained with the script B_connectivity_wpli.m for each animal, in each session, for each frequency band wit Code for analyses available here: https://github.com/IsottaR/ir_mice_project_Zenodo Abbreviations: EEG= electroencephalography
    Epilepsy is a chronic repetitive paroxysmal neurological disorders that caused by abnormal discharge of neurons. Temporal lobe epilepsy is the most common type of epilepsy, and long-term spread of seizures can damage the structure and function of the brain in the wide outside of temporal lobe regions. With the continuous development of the nervous system inspection technology, application of structural and functional examinations reveals the changes of complicated structure, function and metabolism of the epilepsy network. It helps us to explore the further pathogenesis of epilepsy and improve the effectiveness of treatment. Here, we mainly review the recent advance in the changes of structure, function and metabolism of the temporal lobe epilepsy network displayed by different inspection methods. Key words: Temporal lobe epilepsy; Structural network; Functional network
    To investigate the quantitative electroencephalography features of different brain lobe epilepsy.The electroencephalogram data of adult patients diagnosed with epilepsy in the epilepsy clinic of the Second Affiliated Hospital of Shandong First Medical University from January 1, 2012 to December 31, 2016 were collected, 58 cases in total. They included 28 cases of frontal lobe epilepsy,12 cases of temporal lobe epilepsy, 9 cases of occipital lobe epilepsy, and 9 cases of parietal lobe epilepsy. Quantitative electroencephalography analysis technique was used to obtain the δ, θ, α1, α2, β1 and β2 power spectrum value in patients with different brain lobe epilepsy. The δ, θ, α, and β relative power spectrum value are obtained by calculation. By comparing the quantitative electroencephalography indicators of the affected side and the healthy side, the quantitative electroencephalography characteristics of epilepsy in different lobes were obtained.θ power spectrum can be increased in the discharge lead of temporal lobe epilepsy. δ and θ power spectrum, δ relative power spectrum can be increased in the discharge lead of occipital lobe epilepsy.The increase in slow wave power spectrum in QEEG can serve as an auxiliary diagnosis for temporal lobe epilepsy and occipital lobe epilepsy.
    Occipital lobe
    Frontal lobe
    Quantitative electroencephalography
    Lobe
    Parietal lobe
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    On the basis of the prospective study, concerning 100 children of mothers with epilepsy, observed in the first decade, it was established that epilepsy appeared more often in this period than it was reported in the retrospective studies. The frequency of epilepsy amounted 7%. The pregnant-perinatal negative factors in mothers whose children suffered from epilepsy, weren't essentially larger than in other mothers with epilepsy. The occurrence of epilepsy in mothers till 10 year's of age increases the risk of early appearance of epilepsy in offspring essentially (p < 0.05). The epilepsy with absence seizures in mothers is related to the increased number of children with epilepsy in the first decade significantly more often than the epilepsy only with generalized tonic-clonic seizures (p < 0.012). Among the children with epilepsy, there were cases with the same type as in mothers epilepsy (absence), and with other generalized idiopathic epileptic syndromes (West syndrome, Dose syndrome, epilepsy with tonic-clinic seizures). The course of epilepsy in offspring of mothers with epilepsy was typical for the relevant epileptic syndroms appearing in childhood.
    Epilepsy syndromes
    Epilepsy in children
    Generalized epilepsy
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    Abstract Introduction Background SUDEP is leading cause of mortality in patients with chronic refractory epilepsy. Despite several epidemiological studies, case series , monitored and witnessed SUDEP the exact mechanism is not proposed Objective This work was carried out to assess QT interval prolongation in epilepsy and whether there’s a difference in QT interval prolongation between temporal epilepsy and non-temporal epilepsy. Patients and methods This study was conducted on 100 patients, 50 aged and sex matched healthy controls who underwent a prolonged (6 to 24 hours) 22 channel computerized EEG monitor with 10-20 system electrode placement and 12 lead electrocardiogram (25 millisecond speed). QT, QTd and QTc using Bazzet’s formulae were calculated. Results The results showed statistically significant difference prolongation of QT interval in epilepsy particularly temporal lobe epilepsy. Conclusion Significant prolongation of QT interval in epilepsy patients (11% suffered pathological prolonged QT). Marked prolongation of QTc and QTd in temporal lobe epilepsy over non temporal group.
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