Electroencephalography: Evaluation of Neurologic Disorders

2021 ◽  
pp. 255-263
Author(s):  
David B. Burkholder ◽  
Jeffrey W. Britton

Electroencephalography (EEG) is a useful diagnostic and prognostic tool for evaluation of patients with epilepsy, encephalopathy, focal lesions, coma, or brain death. The 3 main types of epileptiform discharges are spikes, sharp waves, and spike-and-wave discharges. Spikes have a steep ascent and descent and are brief (duration ≤70 milliseconds). Sharp waves, in contrast, are longer (70-200 milliseconds). Spike-and-wave discharges consist of a spike followed by an after-coming slow wave. All the discharges may occur singly or in trains, and any may be present in either focal epilepsy or generalized epilepsy.

2021 ◽  
pp. 246-254
Author(s):  
David B. Burkholder ◽  
Jeffrey W. Britton

Electroencephalography (EEG) is a useful diagnostic and prognostic tool for evaluation of patients with epilepsy, encephalopathy, focal lesions, coma, or brain death. The 3 main types of epileptiform discharges are spikes, sharp waves, and spike-and-wave discharges. Spikes have a steep ascent and descent and are brief (duration ≤70 milliseconds). Sharp waves, in contrast, are longer (70-200 milliseconds). Spike-and-wave discharges consist of a spike followed by an after-coming slow wave. All the discharges may occur singly or in trains, and any may be present in either focal epilepsy or generalized epilepsy.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Won-Du Chang ◽  
Ho-Seung Cha ◽  
Chany Lee ◽  
Hoon-Chul Kang ◽  
Chang-Hwan Im

Ictal epileptiform discharges (EDs) are characteristic signal patterns of scalp electroencephalogram (EEG) or intracranial EEG (iEEG) recorded from patients with epilepsy, which assist with the diagnosis and characterization of various types of epilepsy. The EEG signal, however, is often recorded from patients with epilepsy for a long period of time, and thus detection and identification of EDs have been a burden on medical doctors. This paper proposes a new method for automatic identification of two types of EDs, repeated sharp-waves (sharps), and runs of sharp-and-slow-waves (SSWs), which helps to pinpoint epileptogenic foci in secondary generalized epilepsy such as Lennox-Gastaut syndrome (LGS). In the experiments with iEEG data acquired from a patient with LGS, our proposed method detected EDs with an accuracy of 93.76% and classified three different signal patterns with a mean classification accuracy of 87.69%, which was significantly higher than that of a conventional wavelet-based method. Our study shows that it is possible to successfully detect and discriminate sharps and SSWs from background EEG activity using our proposed method.


2020 ◽  
Vol 6 (3) ◽  
pp. e416
Author(s):  
Claudia Moreau ◽  
Rose-Marie Rébillard ◽  
Stefan Wolking ◽  
Jacques Michaud ◽  
Frédérique Tremblay ◽  
...  

ObjectivePolygenic risk scores (PRSs) are used to quantify the cumulative effects of a number of genetic variants, which may individually have a very small effect on susceptibility to a disease; we used PRSs to better understand the genetic contribution to common epilepsy and its subtypes.MethodsWe first replicated previous single associations using 373 unrelated patients. We then calculated PRSs in the same French Canadian patients with epilepsy divided into 7 epilepsy subtypes and population-based controls. We fitted a logistic mixed model to calculate the variance explained by the PRS using pseudo-R2 statistics.ResultsWe show that the PRS explains more of the variance in idiopathic generalized epilepsy than in patients with nonacquired focal epilepsy. We also demonstrate that the variance explained is different within each epilepsy subtype.ConclusionsGlobally, we support the notion that PRSs provide a reliable measure to rightfully estimate the contribution of genetic factors to the pathophysiologic mechanism of epilepsies, but further studies are needed on PRSs before they can be used clinically.


2013 ◽  
Vol 71 (4) ◽  
pp. 213-215
Author(s):  
Nikolaos I. Triantafyllou ◽  
Stergios Gatzonis ◽  
Evangelia Kararizou ◽  
Charalampos C. Papageorgiou

Objective: The purpose of this study was to determine the nature and extent of depressive symptoms among patients with epilepsy. Methods: Ninety patients were investigated over a three-month period: 42 were suffering from generalized epilepsy, 29 from focal epilepsy and 19 from undetermined epilepsy. All completed the Zung self-rating scale for assessment of the depressive symptoms. Results: Sixty-seven patients felt stigmatized because of epilepsy (67%): 73.6% in the undetermined epilepsy group, 55.1% in the focal epilepsy group and 88% in the generalized epilepsy group. Moreover, among the 90 epileptic patients studied, symptoms of irritability, indecisiveness, personal devaluation and emptiness showed a constant increasing trend for their presence from the undetermined epilepsy group through the generalized epilepsy group to the focal epilepsy group. Conclusions: These findings indicate that although the focal epilepsy patients felt less stigmatized, they did not differ greatly in terms of depressive symptoms, in relation to the undetermined epilepsy and generalized epilepsy patients.


2021 ◽  
Vol 10 (02) ◽  
pp. 065-080
Author(s):  
Reza Assadsangabi ◽  
Arzu Ozturk ◽  
Trishna Kantamneni ◽  
Nazarin Azizi ◽  
Shailesh M. Asaikar ◽  
...  

AbstractNeuroimaging plays an increasingly crucial role in delineating the pathophysiology, and guiding the evaluation, management and monitoring of epilepsy. Imaging contributes to adequately categorizing seizure/epilepsy types in complex clinical situations by demonstrating anatomical and functional changes associated with seizure activity. This article reviews the current status of multimodality neuroimaging in the pediatric population, including focal lesions which may result in focal epileptic findings, focal structural abnormalities that may manifest as generalized epileptiform discharges, and generalized epilepsy without evidence of detectable focal abnormalities.


Brain ◽  
2019 ◽  
Vol 142 (11) ◽  
pp. 3473-3481 ◽  
Author(s):  
Costin Leu ◽  
Remi Stevelink ◽  
Alexander W Smith ◽  
Slavina B Goleva ◽  
Masahiro Kanai ◽  
...  

Abstract Rare genetic variants can cause epilepsy, and genetic testing has been widely adopted for severe, paediatric-onset epilepsies. The phenotypic consequences of common genetic risk burden for epilepsies and their potential future clinical applications have not yet been determined. Using polygenic risk scores (PRS) from a European-ancestry genome-wide association study in generalized and focal epilepsy, we quantified common genetic burden in patients with generalized epilepsy (GE-PRS) or focal epilepsy (FE-PRS) from two independent non-Finnish European cohorts (Epi25 Consortium, n = 5705; Cleveland Clinic Epilepsy Center, n = 620; both compared to 20 435 controls). One Finnish-ancestry population isolate (Finnish-ancestry Epi25, n = 449; compared to 1559 controls), two European-ancestry biobanks (UK Biobank, n = 383 656; Vanderbilt biorepository, n = 49 494), and one Japanese-ancestry biobank (BioBank Japan, n = 168 680) were used for additional replications. Across 8386 patients with epilepsy and 622 212 population controls, we found and replicated significantly higher GE-PRS in patients with generalized epilepsy of European-ancestry compared to patients with focal epilepsy (Epi25: P = 1.64×10−15; Cleveland: P = 2.85×10−4; Finnish-ancestry Epi25: P = 1.80×10−4) or population controls (Epi25: P = 2.35×10−70; Cleveland: P = 1.43×10−7; Finnish-ancestry Epi25: P = 3.11×10−4; UK Biobank and Vanderbilt biorepository meta-analysis: P = 7.99×10−4). FE-PRS were significantly higher in patients with focal epilepsy compared to controls in the non-Finnish, non-biobank cohorts (Epi25: P = 5.74×10−19; Cleveland: P = 1.69×10−6). European ancestry-derived PRS did not predict generalized epilepsy or focal epilepsy in Japanese-ancestry individuals. Finally, we observed a significant 4.6-fold and a 4.5-fold enrichment of patients with generalized epilepsy compared to controls in the top 0.5% highest GE-PRS of the two non-Finnish European cohorts (Epi25: P = 2.60×10−15; Cleveland: P = 1.39×10−2). We conclude that common variant risk associated with epilepsy is significantly enriched in multiple cohorts of patients with epilepsy compared to controls—in particular for generalized epilepsy. As sample sizes and PRS accuracy continue to increase with further common variant discovery, PRS could complement established clinical biomarkers and augment genetic testing for patient classification, comorbidity research, and potentially targeted treatment.


Author(s):  
Ferda Ilgen USLU ◽  
Elif ÇETINTAŞ ◽  
İsmail YURTSEVEN ◽  
Alpay ALKAN ◽  
Mehmet KOLUKISA

ABSTRACT Background: Although epilepsy is primarily known as a cortical disorder, there is growing body of research demonstrating white matter alterations in patients with epilepsy. Objective: To investigate the prevalence of white matter hyperintensities (WMH) and its association with seizure characteristics in patients with epilepsy. Methods: The prevalence of WMH in 94 patients with epilepsy and 41 healthy controls were compared. Within the patient sample, the relationship between the presence of WMH and type of epilepsy, frequency of seizures, duration of disease and the number of antiepileptic medications were investigated. Results: The mean age and sex were not different between patients and healthy controls (p>0.2). WMH was present in 27.7% of patients and in 14.6% of healthy controls. Diagnosis of epilepsy was independently associated with the presence of WMH (ß=3.09, 95%CI 1.06-9.0, p=0.039). Patients with focal epilepsy had higher prevalence of WMH (35.5%) than patients with generalized epilepsy (14.7%). The presence of WMH was associated with older age but not with seizure characteristics. Conclusions: WMH is more common in patients with focal epilepsy than healthy controls. The presence of WMH is associated with older age, but not with seizure characteristics.


2015 ◽  
Vol 2015 ◽  
pp. 1-4 ◽  
Author(s):  
Hallie Kendis ◽  
Kelly Baron ◽  
Stephan U. Schuele ◽  
Bhavita Patel ◽  
Hrayr Attarian

Circadian rhythms govern all biological functions. Circadian misalignment has a major impact on health. Late chronotype is a risk factor for circadian misalignment which in turn can affect the control of seizures in epilepsy patients. We compared a group of 87 confirmed epilepsy patients regardless of subtypes with age- and sex-matched healthy controls. We compared generalized epilepsy patients with localization related epilepsy patients and with healthy controls. We found that primary generalized epilepsy patients were 5 times more likely to have a late chronotype than healthy controls. We did not find any significant differences between localization related epilepsy patients and healthy controls or between the overall epilepsy cohort and healthy controls. Generalized epilepsy patients are more likely to be evening types as compared to those with focal epilepsy or subjects without epilepsy. Epilepsy patients do not experience the same age related increase in morningness as do age-matched healthy controls. This is important in regard to timing of AED, identifying and preventing sleep deprivation, and integrating chronotype evaluations and chronotherapy in comprehensive epilepsy care. Further studies, using objective phase markers or the impact of chronotherapy on seizure control, are necessary.


2021 ◽  
Vol 15 ◽  
Author(s):  
Shamima Sultana ◽  
Takefumi Hitomi ◽  
Masako Daifu Kobayashi ◽  
Akihiro Shimotake ◽  
Masao Matsuhashi ◽  
...  

Objective: To clarify whether long time constant (TC) is useful for detecting the after-slow activity of epileptiform discharges (EDs): sharp waves and spikes and for differentiating EDs from sharp transients (Sts).Methods: We employed 68 after-slow activities preceded by 32 EDs (26 sharp waves and six spikes) and 36 Sts from 52 patients with partial and generalized epilepsy (22 men, 30 women; mean age 39.08 ± 13.13 years) defined by visual inspection. High-frequency activity (HFA) associated with the apical component of EDs and Sts was also investigated to endorse two groups. After separating nine Sts that were labeled by visual inspection but did not fulfill the amplitude criteria for after-slow of Sts, 59 activities (32 EDs and 27 Sts) were analyzed about the total area of after-slow under three TCs (long: 2 s; conventional: 0.3 s; and short: 0.1 s).Results: Compared to Sts, HFA was found significantly more with the apical component of EDs (p < 0.05). The total area of after-slow in all 32 EDs under TC 2 s was significantly larger than those under TC 0.3 s and 0.1 s (p < 0.001). Conversely, no significant differences were observed in the same parameter of 27 Sts among the three different TCs. Regarding separated nine Sts, the total area of after-slow showed a similar tendency to that of 27 Sts under three different TCs.Significance: These results suggest that long TC could be useful for selectively endorsing after-slow of EDs and differentiating EDs from Sts. These findings are concordant with the results of the HFA analysis. Visual inspection is also equally good as the total area of after-slow analysis.


2021 ◽  
Vol 10 (02) ◽  
pp. 058-064
Author(s):  
Shoba Jayaram ◽  
Modhi Alkhaldi ◽  
Asim Shahid

AbstractAs early in 1935, Gibbs et al described electroencephalogram (EEG) features of large slow waves seen in “petit mal” seizures and change in background rhythm to a higher frequency, greater amplitude pattern in “grand mal” seizures. Studies have shown many typical EEG features in focal onset as well as generalized epilepsies.2 3 It is usually easy to delineate focal epilepsy cases when EEG onset of seizures is clear as seen in Benign focal epileptiform discharges of childhood.4 However, it is not uncommon to see cases where epileptiform discharges are not very clear. For example, there can be secondary bilateral synchrony or generalized onset of epileptiform discharges in some cases of focal epilepsy5 and nongeneralized EEG features is cases of generalized epilepsy like absence seizures.6 The awareness of occurrence of focal clinical and EEG features in generalized epilepsy is particularly important to help to select appropriate AEDs and also to avoid inappropriate consideration for epilepsy surgery.7 Lüders et al8 have shown that multiple factors like electroclinical seizure evolution, neuroimaging (both functional and anatomical) have to be analyzed in depth before defining an epileptic syndrome. Here, we are providing few examples of different situations where it is still mysterious to figure out focal onset seizures with secondary generalization versus primary generalized epilepsy.


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