scholarly journals Non-epileptic Seizures versus Frontal Lobe Epilepsy in an Adolescent: A Case Report

Cureus ◽  
2019 ◽  
Author(s):  
Sonia Gaur
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Epileptic Seizures ◽  
Frontal Lobe Epilepsy

scholarly journals Sudden unexpected death in epilepsy in a 14-year-old girl: case report and literature review

2018 ◽  
Vol 46 (5) ◽  
pp. 2031-2036 ◽  
Author(s):  
Xinyue Zhang ◽  
Lichao Sun ◽  
Li Cui ◽  
Weihong Lin
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Sleep Stage ◽  
Intractable Epilepsy ◽  
Epileptic Seizures ◽  
Clonic Seizure ◽  
Slow Waves ◽  
Sudden Unexpected Death ◽  
Frontal Lobe Epilepsy ◽  
Unexpected Death

Background Sudden unexpected death in epilepsy (SUDEP) is the most common cause of death in people with epilepsy. The pathogenesis of SUDEP is still unclear. The majority of SUDEP cases occur in intractable epilepsy, especially in the aftermath of a generalized tonic-clonic seizure. We report an atypical SUDEP case with infrequent seizures in frontal lobe epilepsy. Case Report A 14-year-old girl presented with a 13-year history of paroxysmal convulsions. She experienced three episodes within 6–10 months after birth. At 14 years old, she experienced an aggravated seizure, manifesting as unconsciousness, hyperventilation, and urinary incontinence. Electroencephalography showed spike-slow waves and slow waves with mixed asynchronized spike waves originating from the frontal lobe during the sleep stage. Transient outbreaks of spike-slow complex waves (1–2 s) were also noted in all leads. The diagnosis of frontal lobe epilepsy (generalized tonic-clonic seizures secondary to focal impaired awareness seizures and myoclonus) was made. Oral sodium valproate was prescribed. However, she suddenly died on her way to school 2 months later. Conclusion The causes of SUDEP are complicated, and frontal lobe epilepsy may be a potential risk factor. Early diagnosis and appropriate treatment of epileptic seizures, as well as close observation, should be emphasized.

scholarly journals Bilateral Orbitofrontal Repetitive Transcranial Magnetic Stimulation in Frontal Lobe Epilepsy: A Case Report

2021 ◽  
pp. 729-737
Author(s):  
Georgios Mikellides ◽  
Panayiota Michael ◽  
Angelos Gregoriou ◽  
Teresa Schuhmann ◽  
Alexander T. Sack
Keyword(s):  
Case Report ◽  
Transcranial Magnetic Stimulation ◽  
Frontal Lobe ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Low Frequency ◽  
Epileptic Seizures ◽  
Frontal Lobe Epilepsy ◽  
Patient’S Satisfaction ◽  
Drug Resistant Epilepsy

Epilepsy is a common and severe neurological disorder affecting millions of people worldwide. Nowadays, antiseizure medications (ASMs) are the main treatment for most epilepsy patients, although many of them do not respond to ASMs and suffer from drug-resistant epilepsy (DRE). Alternative and novel treatment methods have been offered nowadays, showing promising results for the treatment of DRE. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive method that has become increasingly popular in the last decades. This article reports a patient with frontal lobe epilepsy. We aimed to investigate whether bilateral orbitofrontal (OFC) low-frequency rTMS (LF-rTMS) is feasible and tolerable, safe, and potentially clinically effective in treating epileptic seizures. The patient’s satisfaction with rTMS therapy was self-reported to be high, as rTMS helped in reducing the frequency of the focal attacks and completely abolished the preceding feeling of fear and panic. Therefore, bilateral OFC rTMS treatment can be well tolerated in patients with frontal epilepsy although the findings of the present case report with regard to clinical efficacy warrant further investigation.

scholarly journals Localization of ictal pouting in frontal lobe epilepsy: A case report

2017 ◽  
Vol 8 ◽  
pp. 27-30 ◽  
Author(s):  
Guray Koc ◽  
Semai Bek ◽  
Zeki Gokcil
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Frontal Lobe Epilepsy

Ictal singing due to left frontal lobe epilepsy: A case report and review of the literature

2011 ◽  
Vol 22 (2) ◽  
pp. 404-406 ◽  
Author(s):  
Rei Enatsu ◽  
Stephen Hantus ◽  
Jorge Gonzalez-Martinez ◽  
Norman So
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Frontal Lobe Epilepsy ◽  
Review Of The Literature ◽  
Left Frontal Lobe

scholarly journals A Surgical Case of Frontal Lobe Epilepsy Due to Focal Cortical Dysplasia Accompanied by Olfactory Nerve Enlargement: Case Report

2014 ◽  
Vol 54 (7) ◽  
pp. 593-597 ◽  
Author(s):  
Noriaki MINAMI ◽  
Takehiro UDA ◽  
Takahiro MATSUMOTO ◽  
Taiki NAGAI ◽  
Tatsuya UCHIDA ◽  
...  
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Focal Cortical Dysplasia ◽  
Olfactory Nerve ◽  
Cortical Dysplasia ◽  
Frontal Lobe Epilepsy ◽  
Surgical Case ◽  
Nerve Enlargement

A case with frontal lobe epilepsy with misguiding mirror focus EEG finding case report

2002 ◽  
Vol 1232 ◽  
pp. 661-665 ◽  
Author(s):  
A. Fujimoto ◽  
T. Enomoto ◽  
A. Matsumura ◽  
T. Yoshizawa ◽  
T. Nose
Keyword(s):  
Case Report ◽  
Frontal Lobe ◽  
Frontal Lobe Epilepsy ◽  
Mirror Focus

scholarly journals Morphological Description of Frontal EEG Interictal and Ictal Discharges in an Adult Cohort of 175 Patients

2021 ◽  
Vol 10 (6) ◽  
pp. 1219
Author(s):  
Beatriz García-López ◽  
María Sueiras-Gil ◽  
Ana Isabel Gómez-Menéndez ◽  
Fernando Vázquez-Sánchez ◽  
María Carmen Lloria-Gil ◽  
...  
Keyword(s):  
Frontal Lobe ◽  
Epileptic Seizures ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Clinical Event ◽  
Morphological Description ◽  
Frontal Lobe Epilepsy ◽  
Cross Sectional ◽  
Sharp Waves ◽  
Epileptiform Discharges

Clinical and electroencephalogram (EEG) features in frontal lobe epilepsy (FLE) vary considerably among patients, making the diagnosis a challenge. The objective of this study was to describe interictal and ictal EEG activity, identifying variables that could help to differentiate and diagnose frontal lobe epilepsy cases. A prospective cross-sectional study from patients with frontal interictal epileptiform discharges (IED) referred to the Vall d’Hebron University Hospital (Barcelona, Spain) after a clinical event compatible with epileptic seizures was designed. The interictal and ictal activity were analyzed to provide a detailed EEG description of the cases, using different statistical analyses. The morphological seizure pattern at the ictal onset remained globally unchanged over time in seizures arising from the frontal lobe for each patient. Isolated sharp waves were the most frequent waveforms in the expression of IED. Frontal lobe seizures are frequently short and sometimes appear grouped in clusters within the same recording. Often the ictal expression of the electrical activity in frontal lobe seizure is subtle and challenging to interpret. A description of the main findings is summarized to identify seizures arising from the frontal lobe and avoid false negatives findings in EEG interpretations.

scholarly journals Feature Selection Techniques for the Analysis of Discriminative Features in Temporal and Frontal Lobe Epilepsy: A Comparative Study

2021 ◽  
Vol 15 (1) ◽  
pp. 1-15
Author(s):  
Behrooz Abbaszadeh ◽  
Cesar Alexandre Domingues Teixeira ◽  
Mustapha C.E. Yagoub
Keyword(s):  
Feature Selection ◽  
Frontal Lobe ◽  
Time Domain ◽  
Life Quality ◽  
Epileptic Seizures ◽  
Ar Model ◽  
Model Parameters ◽  
Frontal Lobe Epilepsy ◽  
The Impact ◽  
Feature Selection Techniques

Background: Because about 30% of epileptic patients suffer from refractory epilepsy, an efficient automatic seizure prediction tool is in great demand to improve their life quality. Methods: In this work, time-domain discriminating preictal and interictal features were efficiently extracted from the intracranial electroencephalogram of twelve patients, i.e., six with temporal and six with frontal lobe epilepsy. The performance of three types of feature selection methods was compared using Matthews’s correlation coefficient (MCC). Results: Kruskal Wallis, a non-parametric approach, was found to perform better than the other approaches due to a simple and less resource consuming strategy as well as maintaining the highest MCC score. The impact of dividing the electroencephalogram signals into various sub-bands was investigated as well. The highest performance of Kruskal Wallis may suggest considering the importance of univariate features like complexity and interquartile ratio (IQR), along with autoregressive (AR) model parameters and the maximum (MAX) cross-correlation to efficiently predict epileptic seizures. Conclusion: The proposed approach has the potential to be implemented on a low power device by considering a few simple time domain characteristics for a specific sub-band. It should be noted that, as there is not a great deal of literature on frontal lobe epilepsy, the results of this work can be considered promising.

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