A 3-year-old child with multi-drug resistant epilepsy responding to pharmacological and nonpharmacological treatments

Author(s):  
Yesim Coskun ◽  
Canan Yildirim
2018 ◽  
Vol 26 (2) ◽  
pp. 13-18
Author(s):  
Yu.M. Zabrodskaya ◽  
◽  
D.A. Sitovskaya ◽  
S.M. Malyshev ◽  
T.V. Sokolova ◽  
...  

Epilepsia ◽  
2020 ◽  
Author(s):  
Oumarou Ouédraogo ◽  
Rose‐Marie Rébillard ◽  
Hélène Jamann ◽  
Victoria Hannah Mamane ◽  
Marie‐Laure Clénet ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana Leal ◽  
Mauro F. Pinto ◽  
Fábio Lopes ◽  
Anna M. Bianchi ◽  
Jorge Henriques ◽  
...  

AbstractElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure’s clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same patient. In this study, we performed a heart rate variability (HRV) analysis to investigate the discriminative power of the features of HRV in the identification of the preictal interval. HRV information extracted from the linear time and frequency domains as well as from nonlinear dynamics were analysed. We inspected data from 238 temporal lobe seizures recorded from 41 patients with drug-resistant epilepsy from the EPILEPSIAE database. Unsupervised methods were applied to the HRV feature dataset, thus leading to a new perspective in preictal interval characterization. Distinguishable preictal behaviour was exhibited by 41% of the seizures and 90% of the patients. Half of the preictal intervals were identified in the 40 min before seizure onset. The results demonstrate the potential of applying clustering methods to HRV features to deepen the current understanding of the preictal state.


2021 ◽  
Vol 171 ◽  
pp. 106574
Author(s):  
Kannan Lakshminarayanan ◽  
Anuja Agarawal ◽  
Prateek Kumar Panda ◽  
Rahul Sinha ◽  
Manjari Tripathi ◽  
...  

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2307
Author(s):  
Cherubino Di Lorenzo ◽  
Giovanna Ballerini ◽  
Piero Barbanti ◽  
Andrea Bernardini ◽  
Giacomo D’Arrigo ◽  
...  

Headaches are among the most prevalent and disabling neurologic disorders and there are several unmet needs as current pharmacological options are inadequate in treating patients with chronic headache, and a growing interest focuses on nutritional approaches as non-pharmacological treatments. Among these, the largest body of evidence supports the use of the ketogenic diet (KD). Exactly 100 years ago, KD was first used to treat drug-resistant epilepsy, but subsequent applications of this diet also involved other neurological disorders. Evidence of KD effectiveness in migraine emerged in 1928, but in the last several year’s different groups of researchers and clinicians began utilizing this therapeutic option to treat patients with drug-resistant migraine, cluster headache, and/or headache comorbid with metabolic syndrome. Here we describe the existing evidence supporting the potential benefits of KDs in the management of headaches, explore the potential mechanisms of action involved in the efficacy in-depth, and synthesize results of working meetings of an Italian panel of experts on this topic. The aim of the working group was to create a clinical recommendation on indications and optimal clinical practice to treat patients with headaches using KDs. The results we present here are designed to advance the knowledge and application of KDs in the treatment of headaches.


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