The etiologic classification of epilepsy

Shorvon, Simon

doi:10.1111/j.1528-1167.2011.03041.x

Cited by 283 publications

(207 citation statements)

References 17 publications

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“…Since the purpose of this study is to assess the classification algorithm, we opted to use a more regular cohort. All TLE patients met the International League Against Epilepsy criteria for diagnosis (Berg et al., 2010; Shorvon, 2011; Commission on Classification and Terminology of the International League Against Epilepsy, 1989). They were recruited from the Comprehensive Epilepsy center at the Medical University of South Carolina.…”

Section: Methodsmentioning

confidence: 99%

Using machine learning to classify temporal lobe epilepsy based on diffusion MRI

et al. 2017

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BackgroundIt is common for patients diagnosed with medial temporal lobe epilepsy (TLE) to have extrahippocampal damage. However, it is unclear whether microstructural extrahippocampal abnormalities are consistent enough to enable classification using diffusion MRI imaging. Therefore, we implemented a support vector machine (SVM)‐based method to predict TLE from three different imaging modalities: mean kurtosis (MK), mean diffusivity (MD), and fractional anisotropy (FA). While MD and FA can be calculated from traditional diffusion tensor imaging (DTI), MK requires diffusion kurtosis imaging (DKI).MethodsThirty‐two TLE patients and 36 healthy controls underwent DKI imaging. To measure predictive capability, a fivefold cross‐validation (CV) was repeated for 1000 iterations. An ensemble of SVM models, each with a different regularization value, was trained with the subject images in the training set, and had performance assessed on the test set. The different regularization values were determined using a Bayesian‐based method.ResultsMean kurtosis achieved higher accuracy than both FA and MD on every iteration, and had far superior average accuracy: 0.82 (MK), 0.68 (FA), and 0.51 (MD). Finally, the MK voxels with the highest coefficients in the predictive models were distributed within the inferior medial aspect of the temporal lobes.ConclusionThese results corroborate our earlier publications which indicated that DKI shows more promise in identifying TLE‐associated pathological features than DTI. Also, the locations of the contributory MK voxels were in areas with high fiber crossing and complex fiber anatomy. These traits result in non‐Gaussian water diffusion, and hence render DTI less likely to detect abnormalities. If the location of consistent microstructural abnormalities can be better understood, then it may be possible in the future to identify the various phenotypes of TLE. This is important since treatment outcome varies dependent on type of TLE.

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Section: Methodsmentioning

confidence: 99%

Using machine learning to classify temporal lobe epilepsy based on diffusion MRI

et al. 2017

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“…It is characterized by seizure symptoms such as loss of consciousness, increased motor activity, and sensory phenomena occurring in brutal and short attacks according to the three forms of epilepsy characterized as idiopathic, symptomatic, and cryptogenic (Shorvon, 2011;Nazıroğlu, 2015). The genesis of epilepsy is associated with increased excitability of brain areas through an excessive depolarization of the brain areas (Nazıroğlu, 2015).…”

Section: +mentioning

confidence: 99%

Role of melatonin on calcium signaling and mitochondrial oxidativestress in epilepsy: focus on TRP channels

Nazıroğlu¹

2015

Turk J Biol

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Calcium ion (Ca 2+ ) accumulation and excessive oxidative stress in the hippocampus and brain cortex have long been known as major contributors to the etiology of epilepsy. I have reviewed the role of Ca 2+ signaling through cation channels and mitochondriamediated oxidative stress on epilepsy in human and animals. A review of the relevant papers and results from recent studies were obtained from PubMed and the Science Citation Index. Current literature findings indicate that melatonin and agomelatine reduce activation of hippocampal transient receptor potential (TRP), glutamate receptors, and voltage-gated calcium channels that are critical for the development of abnormal Ca 2+ homeostasis and oxidative stress and associated mitochondrial dysfunction. In addition, low doses of melatonin induce anticonvulsant action through increase of GABA levels in the hippocampus and brain cortex. The accumulating evidence implicates a modulator role of melatonin on excessive oxidative stress products, plus mitochondrial and Ca 2+ dysregulations in epilepsy. The evidence indicates that modulation of oxidative stress and neuronal Ca 2+ handling occurs through effects on TRP channels, suggesting an increasingly viable approach for therapeutic interventions against epilepsy.

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“…Serious anatomical or pathological anomalies and/or clinical findings are indicators for underlying disease. [7] Experimental epilepsy models…”

Section: Introductionmentioning

confidence: 99%

Pentylenetetrazol Kindling Epilepsy Model

Erkeç¹,

Arıhan²

2015

Epilepsi

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SummaryEpilepsy is one of the most common neurologic disorders affecting approximately 1% of the general population, and no alleviation was achieved in one third of the patients medicated with antiepileptic drugs. Current treatments of epilepsy are symptomatic and have more anti-seizure effects than antiepileptic effects. These therapies do not cure epilepsy. Basic mechanisms of epilepsy have not entirely been clarified yet. Using seizure and epilepsy animal models, our comprehension about basic mechanisms underlying epileptogenesis has improved. In addition, animal models of epilepsy and seizures are very useful in the discovery and development of new antiepileptic drugs. Pentylenetetrazole (PTZ) is widely used in antiepileptic drug discovery studies, and PTZ kindling model is very important to understand the pathophysiology of epilepsy. In this review, current information about PTZ kindling model was given in this aspect.Key words: Chemical kindling; epilepsy; experimental animal models; pentylenetetrazole; rat. ÖzetEpilepsi genel popülasyonun yaklaşık %1'ini etkileyen en yaygın nörolojik düzensizliklerden biridir. Antiepileptik ilaç tedavisi gören hastaların üçte birinde hiçbir hafifleme elde edilememektedir. Epilepsi için kullanılan güncel tedaviler semptomatiktir ve antiepileptik etkiden ziyade anti nöbet etkilidir. Bu tedaviler epilepsiyi tedavi etmemektedir. Epilepsinin temel mekanizmaları da henüz tam olarak anlaşılamamıştır. Nö-bet ve epilepsi hayvan modelleri kullanılarak epilepsinin temelinde yatan mekanizmaları kavrayışımız ilerlemektedir. Ayrıca epilepsi ve nöbet hayvan modelleri yeni antiepileptik ilaç keşfi ve gelişimi bakımından kullanışlıdırlar. Pentilentetrazol (PTZ), antiepileptik ilaç keşif çalışmala-rında yaygın biçimde kullanılmaktadır ve PTZ tutuşma modeli epilepsinin patofizyolojisinin anlaşılması bakımından oldukça önemlidir. Bu

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The etiologic classification of epilepsy

Cited by 283 publications

References 17 publications

Using machine learning to classify temporal lobe epilepsy based on diffusion MRI

Using machine learning to classify temporal lobe epilepsy based on diffusion MRI

Role of melatonin on calcium signaling and mitochondrial oxidativestress in epilepsy: focus on TRP channels

Pentylenetetrazol Kindling Epilepsy Model

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