scholarly journals Standardization and quality assurance in clinical electroencephalography

2020 ◽  
Author(s):  
Laura Craciun

Objectives: Our objectives were to address some key issues- to determine the minimal efficient duration of the standard and sleep EEG recordings, to assess the diagnostic yield of hyperventilation (HV) and to assess whether injuries occur more often in an Epilepsy Monitoring Unit (EMU) where portable EEG amplifiers are used, and where patients can freely move within a large area during the monitoring. Methods: For the first part of the study, we have reviewed 1005 EEG recordings and determined the shortest recording duration necessary to identify interictal EEG abnormalities. In order to assess the diagnostic yield of 5 min HV compared to 3 min HV, data were evaluated from 1084 consecutive patients, from three European centers, referred to EEG on suspicion of epilepsy. Seizures and interictal EEG abnormalities precipitated during the first 3 min and during the last 2 min of the HV period (totally 5 min) were determined. For the last part of our study, patients were monitored at the Danish Epilepsy Center. Adverse events (AEs) including injuries, were prospectively noted, as part of the safety policy of the hospital. Other data were retrospectively extracted from the electronic database, for a 5-year period (Jan 2012–Dec 2016). Results: Standard, awake recordings shorter than 20 min yielded a significantly lower incidence of abnormal findings as compared to longer recordings. Although there was an increase in the diagnostic yield from 30 to 180 min recording duration, this failed to reach the level of significance. For sleep recordings, there was no significant increase in the diagnostic yield beyond 30 min. 877 (81%) completed 5 min HV. Seizures were precipitated during the first 3 min of HV in 21 patients, and during the last 2 min in four more patients. Interictal EEG abnormalities were precipitated in the first 3 min of HV in 16 patients, and during the last 2 min in 7 more patients. Psychogenic nonepileptic seizures occurred in eight patients during the first 3 min of HV and in two more patients during the last 2 min. No adverse events occurred during the last 2 min of HV. 976 patients were admitted to the EMU. Falls occurred in 19 patients (1.9%) but none of them resulted in injury. The rate of AEs were similar or lower than previously reported by other centers, where the mobility of the patients had been restricted during monitoring. Conclusions: Our results provide evidence for recommending at least 20 min recording duration for standard awake EEGs and 30 min for sleep EEG recordings. 16% of seizures and 30% of interictal EEG abnormalities triggered by HV occurred during the last 2 min of HV, suggesting the clinical usefulness of prolonged hyperventilation for 5 min. The vast majority of patients (99%) who are able to hyperventilate for 3 min can complete 5 min HV, without additional adverse events. In an EMU specially designed for this purpose, where patients are under continuous surveillance by personnel dedicated to the EMU, injuries can be avoided even when the mobility of the patients is not restricted.

2018 ◽  
Vol 129 (4) ◽  
pp. 713-716 ◽  
Author(s):  
Pirgit Meritam ◽  
Elena Gardella ◽  
Jørgen Alving ◽  
Daniella Terney ◽  
Melita Cacic Hribljan ◽  
...  

Epilepsia ◽  
2002 ◽  
Vol 43 (9) ◽  
pp. 1013-1020 ◽  
Author(s):  
Markus Reuber ◽  
Guillen Fernández ◽  
Juergen Bauer ◽  
Daman D. Singh ◽  
Christian E. Elger

Author(s):  
Joseph Kirabira ◽  
Godfrey Z Rukundo ◽  
Moses Kibuuka

Objective This study aimed at describing routine electroencephalogram (EEG) findings among children and adolescents with a clinical diagnosis of epilepsy and determines how interictal EEG abnormalities vary with the psychiatric comorbidities. Methods We conducted a cross-sectional study among children and adolescents with epilepsy aged 5–18 years receiving care from a regional referral hospital in Southwestern Uganda. Psychiatric comorbidities were assessed using an adapted parent version of Child and Adolescent Symptom Inventory-5. Thirty-minute EEG samples were taken from routine EEG recordings that were locally performed and remotely interpreted for all participants. Results Of the 140 participants, 71 (50.7%) had normal EEG findings and 51 (36.4%) had epileptiform abnormalities while 18 (12.9%) had non-epileptiform. Of those who had epileptiform abnormalities on EEG, 23 (45.1%) were focal, 26 (51.0%) were generalized, and 2 (3.9%) were focal with bilateral spread. There was no significant association between the different psychiatric comorbidities and the interictal EEG abnormalities. Conclusions Among children and adolescents with a clinical diagnosis of epilepsy in Southwestern Uganda, only 36% showed epileptiform abnormalities on their EEG recordings. There was no association between the interictal EEG abnormalities and psychiatric comorbidities.


2021 ◽  
pp. 155005942110582
Author(s):  
Nivetha Vasudevan ◽  
Ranjith Kumar Manokaran ◽  
Saji James

Purpose: To investigate whether hyperventilation (HV) for 5 minutes increases the diagnostic yield of electroencephalography (EEG) compared to 3 minutes HV and to determine whether performing HV for 5 minutes is feasible and safe in children. Methods: Data were evaluated from 579 children aged less than 18 years, referred to EEG for epilepsy evaluation. Occurrence of seizures, HV induced interictal epileptiform discharges precipitation and potentiation and adverse events if any were noted during the first 3 minutes and last 2 minutes of HV separately. Results: 398 children (68.7%) completed 5 minutes HV. Seizures were precipitated during the first 3 minutes of HV in 2 children, and during the last 2 minutes in one more child. Inter-ictal EEG abnormalities were precipitated in the first 3 minutes of HV in 31 children, and during the last 2 min in 4 more children. All 398 children completed HV during the last 2 minutes successfully and no adverse events occurred during the last 2 minutes of HV. Conclusion: 33.33% of seizures and 11.5% of inter-ictal EEG abnormalities triggered by HV occurred during the last 2 min of HV. This finding supports the utility of prolonged hyperventilation for 5 minutes. Prolonged HV for 5 minutes increases the diagnostic yield of EEG in paediatric population and it is safe and feasible.


2007 ◽  
Vol 75 (2-3) ◽  
pp. 130-137 ◽  
Author(s):  
Rosalia Silvestri ◽  
Antonella Gagliano ◽  
Tiziana Calarese ◽  
Irene Aricò ◽  
Clemente Cedro ◽  
...  

1994 ◽  
Vol 35 (4) ◽  
pp. 396-399 ◽  
Author(s):  
M. G. Svaland ◽  
T. Christensen ◽  
E. Lundorf

Gadodiamide injection was administered intravenously to 49 patients with known or suspected CNS lesions undergoing MR imaging. Two parallel groups were used to evaluate the efficacy and safety of single doses of 0.1 (25 patients) and 0.3 (24 patients) mmol/kg b.w. The principal measures of efficacy were diagnostic yield of MR and the overall contrast enhancement. Adverse events and serum bilirubin were the main safety parameters. Contrast enhancement of the lesion was observed for 16 patients in each dose group. Thirteen patients in the 0.1 and 17 in the 0.3 mmol/kg group had their diagnosis amended following the postcontrast image, but only one patient in each dose group had their management affected by new information from the postcontrast image. The overall diagnostic utility of gadodiamide injection was good, but there were no differences between the 2 doses studied in this respect. No injection-associated discomfort or other adverse events were reported. No clinically important changes in serum bilirubin, or other parameters of blood chemistry, or hematology were observed. Overall, the safety profile of gadodiamide injection 0.3 mmol/kg b.w. in this study was similar to that of 0.1 mmol/kg b.w.


1995 ◽  
Vol 8 (2) ◽  
pp. 109-114 ◽  
Author(s):  
A. O. Ogunyemi

Migraine with prolonged aura has rarely been examined with regard to the sequence of the neurological symptoms and the associated EEG changes. This report describes five patients who underwent clinical assessment and EEG recordings during attacks of migraine with prolonged aura. CT scan of the brain was obtained in four of them. Follow-up EEG was also obtained. The aura symptoms either preceded the headache or were coincident with it. The aura symptoms evolved in a manner consistent with posterior-to-anterior dysfunction of the cerebral cortex. The EEG abnormalities were non-epileptiform and consisted of focal delta slow waves or theta slow waves. The EEG abnormalities showed good correlation with the patients' aura symptoms and resolved when the patients became symptom free. The posterior-to-anterior sequence of the aura symptoms is in accord with the findings during cerebral blood flow studies in patients having migraine with aura. Also the symptoms and EEG changes in our patients indicate dysfunction of the cerebral cortex, consistent with the notion that spreading cortical depression may be the underlying pathophysiological event in migraine with aura.


2021 ◽  
pp. 413-422
Author(s):  
Shao Li ◽  
Xia Xu

Using remote sensing data to monitor large area drought is one of the important methods of drought monitoring at present. However, the traditional remote sensing drought monitoring methods mainly focus on monitoring single drought response factors such as soil moisture or vegetation status, and the research on comprehensive multi-factor drought monitoring is limited. In order to improve the ability to resist drought events, this paper takes Henan Province of China as an example, takes multi-source remote sensing data as data sources, considers various disaster-causing factors, adopts random forest method to model, and explores the method of regional remote sensing comprehensive drought monitoring using various remote sensing data sources. Compared with neural network, classification regression tree and linear regression, the performance of random forest is more stable and tolerant to noise and outliers. In order to provide a new method for comprehensive assessment of regional drought, a comprehensive drought monitoring model was established based on multi-source remote sensing data, which comprehensively considered the drought factors such as soil water stress, vegetation growth status and meteorological precipitation profit and loss in the process of drought occurrence and development.


Author(s):  
Jannatara Shefa ◽  
Muzharul Mannan ◽  
Shaheen Akhter

Background: Autism in children is frequently associated with Intellectual disability (ID) and epilepsy. It is known that lower IQinfluences epilepsy rates; however, electroencephalographic (EEG) findings in different grades of intellectual functioning are less well studied. Objectives: This study aimed to evaluate the EEG findings and their association with the degrees of ID in children with autism. Methods: Fifty-two children, diagnosed with autism according to the DSM-IV-TR criteria, aged between 2 to 12 years, were included in the study. Participants were recruited from outpatient clinic in the Institute for Paediatric Neurodisorder and Autism (IPNA) in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh. All of them were subjected to physical and neurological examination. Intelligence quotients (IQ) were measured in all the participants. Psychometric tests Bayley Scales of Infant and Toddler Development, Third edition (BSID III) or Weschler Intelligence Scale for Patients-Revised (WISC-R) were used for evaluating IQ. EEG recordings were done in all the participants. Results: The frequency of EEG abnormalities were observed in 51.9% participants. Among these abnormalities, 36.5% were epileptiform and 15.4% were non-epileptiform. Majority of the focal discharges, in this study were from temporal and frontal ((50% and 40% of focal discharge). Among generalized abnormalities, 89% were symmetrical spike-wave complexes. EEG abnormalities were associated with epilepsy in 66.7% of participants. ID was present in 84.6% and of them, 77% had moderate to severe ID. Mild, moderate or severe ID did not show significant association with EEG abnormalities (p>0.05). However, patients with moderate to severe ID (IQ <50) had a higher rate of EEG abnormalities compared to those without ID or mild ID (81.5% versus 18.5%) (P=0.03). Conclusion: Relatively large number of children with autism and ID had EEG abnormalities and there was a significant association with moderate to severe ID (IQ <50) and EEG abnormalities.


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