Rationale for using intermittent calorie restriction as a dietary treatment for drug resistant epilepsy

2014 ◽  
Vol 33 ◽  
pp. 110-114 ◽  
Author(s):  
Alan W.C. Yuen ◽  
Josemir W. Sander
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Neha Kaul ◽  
John-Paul Nicolo ◽  
Terence J. O’Brien ◽  
Patrick Kwan

Abstract Despite the increasing number of anti-seizure medications becoming available, the proportion of patients with drug-resistant epilepsy remains unchanged. Dietary therapy for epilepsy is well-established practice in paediatric care, but relatively underutilised in adults. Recently, international recommendations have been published to guide the treatment of adults receiving dietary therapy for epilepsy. This review focuses on the specific aspects of care unique to the management of adults receiving dietary therapy for epilepsy, including patient selection, diet composition, initiation, monitoring and cessation of dietary treatment. We emphasise the need for a multidisciplinary team approach with appropriately trained neurologists and dietitians to provide holistic care while the patients are receiving dietary therapy. Future research should focus on the optimal diet composition and meeting the psychosocial needs of adults with epilepsy to maximise efficacy and adherence to dietary treatment.


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 ◽  
...  

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