Role of Video-EEG in Children

Kannan, Lakshminarayanan; Jain, Puneet; Nayak, Dinesh

doi:10.1007/s12098-020-03605-4

Cited by 12 publications

(13 citation statements)

References 49 publications

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Section: Discussionmentioning

confidence: 99%

“…In the late stage of subarachnoid hemorrhage, abnormal astrocyte hyperplasia and nerve cell degeneration will occur, which will inhibit network balance and destroy the excitability of normal neurons. Excessive excitability will affect the discharge of neurons in the brain and induce epilepsy [13,14]. Figure 5: e effective rate of treatment in the early epilepsy group was higher than that in the late epilepsy group, and the difference was statistically significant (P < 0.05).…”

Section: Total=736mentioning

confidence: 94%

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Prediction Value of Epilepsy Secondary to Inferior Cavity Hemorrhage Based on Scalp EEG Wave Pattern in Deep Learning

Jiang

2022

Journal of Healthcare Engineering

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Objective. To search the predictive value of epilepsy secondary to acute subarachnoid hemorrhage (aSAH) based on EEG wave pattern in deep learning. Methods. A total of 156 cases of secondary epilepsy with lower cavity hemorrhage in our hospital were selected and divided into the late epilepsy group and the early epilepsy group according to seizure time, and the nonseizure group and the seizure group according to seizure condition. General data of patients were collected, the EEG types of each group were analyzed, and the disease recurrence rate, treatment effect, and symptom onset time were compared. Results. Rapid and slow and rapid blood flow velocity were the main abnormal manifestations of epilepsy secondary to inferior cavity hemorrhage, accounting for 33.3% and 18.6%, respectively. Compared with the seizure group, the proportion of type ii and type iii in the nonseizure group was higher, and the proportion of type ii and type iii in the early epilepsy group was higher than in the late epilepsy group ( P < 0.05). The diagnostic accuracy, missed diagnosis rate, misdiagnosis rate, specificity, and sensitivity of the EEG wave pattern were 94.9%, 3.2%, 1.9%, 91.7%, and 96.2%, respectively. Compared with the early epilepsy group, the recurrence rate of type iii and type iv in the late epilepsy group was higher ( P < 0.05). The effective rates of the attack group and the nonattack group were 72.7% and 97.0%, respectively. Compared with the attack group, the effective rate of the nonattack group was higher ( P < 0.05). The effective rates of the early epilepsy group and the late epilepsy group were 91.7% and 85.0%, respectively. Compared with the late epilepsy group, the effective rate of the early epilepsy group was higher ( P < 0.05). Compared with the early epilepsy group, the late epilepsy group had longer tonic-clonic seizures, atonic seizures, and absent seizures, and the difference between the groups was statistically significant ( P < 0.05). Conclusion. In aSAH secondary epilepsy disease prediction, based on indepth study of the scalp EEG wave type prediction, they play an important role, including aSAH high-risk secondary epilepsy wave types for V, III, and IV types, as well as early and late epilepsy associated with disease stage. Through the diagnosis method to predict the severity of disease, this builds a good foundation for clinical treatment. It is beneficial to improve the effective rate of treatment.

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Section: Discussionmentioning

confidence: 99%

Section: Total=736mentioning

confidence: 94%

Prediction Value of Epilepsy Secondary to Inferior Cavity Hemorrhage Based on Scalp EEG Wave Pattern in Deep Learning

Jiang

2022

Journal of Healthcare Engineering

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“…The most common of those events are classified per age in table 7-1 , along with clues for their differential diagnosis. Video-EEG recordings are a very sensitive and specific method to distinguish between seizures and seizure mimics in challenging cases, especially in the neonatal period and in critically ill or sedated infants 5 . case 7-1 illustrates where recurrent paroxysmal motor events in an infant, who was nonresponsive to antiseizure medications, were later proven to be nonepileptic in origin.…”

Section: Diagnostic Approachmentioning

confidence: 99%

Seizures and Epilepsy in Childhood

Γώγου¹,

Cross²

2022

CONTINUUM: Lifelong Learning in Neurology

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PURPOSE OF REVIEW: This article highlights basic concepts of seizures and epilepsy in pediatric patients, as well as basic treatment principles for this age group.RECENT FINDINGS: Epilepsy is the most common neurologic disorder in childhood. Accurate diagnosis is key; in older children, epileptic seizures need to be differentiated from various paroxysmal nonepileptic events, whereas in neonates, the majority of seizures are subclinical (electroencephalographic). Antiseizure medications remain the first-line treatment, but ketogenic diet and epilepsy surgery have also shown positive outcomes and can decrease drug burden. Genetic causes account for approximately 30% of cases, and the recognition of electroclinical syndromes is being replaced by the concept of genetic spectrums. Precision medicine therapies are promising, but wide application in daily practice still has a long way to go. Early access to specialist centers and optimal treatments positively affects prognosis and future neurodevelopment.SUMMARY: Although novel findings from all fields of research are being incorporated into everyday clinical practice, a better quality of life for children with seizures and epilepsy and their families is the ultimate priority.

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“…1,5,7 The medical history about seizure origin, duration and type obtained from family members or patients can lead to misdiagnosis in this disorder, so it is very important to obtain and record the EEG to capture the epileptic discharge and provide best option for treatment regimn. 7,8,9 Around 5.7% of patients had normal EEG and did not show abnormal epileptic activity 10 and 19.4% showed focal and generalized seizure activity on video EEG in EMU. This is similar to previous studies.…”

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confidence: 99%

Diagnostic utility of pediatric epilepsy monitoring unit:Retrospective single center study

Al-Bradie

Jarad

Bokhari

et al. 2023

NSJ

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Objectives: To evaluate drug resistance epilepsy (DRE) patients with persistent seizures after using of standard antiepileptic drugs. This single center study aimed to investigate the utility of Epilepsy Monitoring Unit (EMU) resulted in a definitive diagnosis. Methods:This was an observational retrospective study in 323 children who were admitted to the EMU for evaluation between 2012 and 2020.Results: Of the 323 patients, 168 (52.01%) were males. The most common referral for EMU were better characterization 91 (28.17%) and pre-surgical evaluation 56 (17.3%). Of the participants, 273 (84.5%) had seizures one to 2 times per day. At discharge, 75.5% of admissions received a definitive diagnosis. Conclusion:The EMU admission for pediatric epilepsy patients is very important for early accurate diagnosis and management with surgery for those consider DRE patients.

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Role of Video-EEG in Children

Cited by 12 publications

References 49 publications

Prediction Value of Epilepsy Secondary to Inferior Cavity Hemorrhage Based on Scalp EEG Wave Pattern in Deep Learning

Prediction Value of Epilepsy Secondary to Inferior Cavity Hemorrhage Based on Scalp EEG Wave Pattern in Deep Learning

Seizures and Epilepsy in Childhood

Diagnostic utility of pediatric epilepsy monitoring unit:Retrospective single center study

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