Clinical correlates of frontal intermittent rhythmic delta activity (FIRDA)

Accolla, Ettore A.; Kaplan, Peter W.; Maeder-Ingvar, Malin; Jukopila, Sanja; Rossetti, Andrea O.

doi:10.1016/j.clinph.2010.06.005

Cited by 92 publications

(81 citation statements)

References 16 publications

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“…In a large study of 301 patients with FIRDA, Rowan et al 26 described an association with brain tumors in 35%, cerebrovascular disease in 19% and epilepsy of unknown cause in 13%. Accolla et al 23 investigated the clinical correlates of FIRDA in 36 patients and compare them with a control group of 80 subjects. Epilepsy was more frequently in the control group and structural brain lesions and encephalopathy were independently associated with the occurrence of FIRDA.…”

Section: Concept and Definitonsmentioning

confidence: 99%

“…Later studies, however, contended that such etiologic factors comprise only a small percentage of all conditions associated with FIRDA 15,17,[23][24][25][26][27][28] . These studies correlated the presence of FIRDA with a large number of disorders, including toxic-metabolic encephalopathies, early stages of coma, degenerative diseases and other conditions, affecting both cortical and subcortical structures 15,17,[23][24][25][26][27][28] . Schaul et al 15 studied 42 EEG records with FIRDA and found that this finding was non specific and had no correlation with increased intracranial pressure.…”

Section: Concept and Definitonsmentioning

confidence: 99%

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Non-epileptiform EEG abnormalities: an overview

Andraus¹,

Alves-Leon

2011

Arq. Neuro-Psiquiatr.

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More than 80 years after its introduction by Hans Berger, the electroencephalogram (EEG) remains as an important supplementary examination in the investigation of neurological disorders and gives valuable and accurate information about cerebral function. Abnormal EEG findings may include ictal patterns, interictal epileptiform activity and non-epileptiform abnormalities. The aim of this study is to make an overview on the main non-epileptiform EEG abnormalities, emphasizing the pathologic findings and the importance of their recognition, excluding periodic patterns and EEG physiologic changes. Scientific articles were selected from MEDLINE and PubMed database. The presence of non-epileptiform EEG abnormalities provide evidence of brain dysfunction that are not specific to a particular etiology and may be related to a number of disorders affecting the brain. Although these abnormalities are not specific, they can direct attention to the diagnostic possibilities and guide the best treatment choice. Key words: abnormal EEG, non-epileptiform abnormalities, slow activity.Anormalidades eletrencefalográficas não epileptiformes: uma visão geral RESUMO Mais de 80 anos após sua introdução por Hans Berger, o eletrencefalograma (EEG) permanece como importante exame complementar na investigação de transtornos neurológicas e fornece informações valiosas e precisas a respeito da função cerebral. Achados eletrencefalográficos anormais podem incluir padrões ictais, atividade epileptiforme interictal e anormalidades eletrencefalográficas não epileptiformes. O objetivo deste estudo é fazer uma revisão das principais anormalidades eletrencefalográficas não epileptiformes, enfatizando os achados patológicos e a importância de seu reconhecimento, excluindo padrões periódicos e alterações eletrencefalográficas fisiológicas. Foram selecionados artigos científicos por meio de pesquisa nas bases de dados MEDLINE e PubMed. A presença de anormalidades eletrencefalográficas não epileptiformes fornece evidências de disfunção cerebral, as quais não são específicas para uma etiologia particular e podem estar relacionadas a uma série de desordens que afetam o encéfalo. Embora essas anormalidades não sejam específicas, elas podem direcionar a atenção para as possibilidades diagnósticas e guiar a escolha do melhor tratamento. Palavras-Chave: EEG anormal, anormalidades não epileptiformes, atividade lenta.

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Section: Concept and Definitonsmentioning

confidence: 99%

Section: Concept and Definitonsmentioning

confidence: 99%

Non-epileptiform EEG abnormalities: an overview

Andraus¹,

Alves-Leon

2011

Arq. Neuro-Psiquiatr.

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“…All the five conventional EEG bands are considered in this study i.e., [1,4] Hz for the delta (i=d), [4,8] Hz for theta (i=t), [8,13] Hz for alpha (i=a), [13,30] Hz for beta (i=b) and [30,40] Hz for gamma (i=g) bands, respectively i.e., RIR d represents RIR of delta band and so on.…”

Section: ) Relative Intensity Ratio (Rir)mentioning

confidence: 99%

“…In this study the ratio of power in the delta-theta band (1)(2)(3)(4)(5)(6)(7)(8) to that in the alpha-beta band as an indicative of gain (loss) in low (high) frequency power [19] is considered.…”

Section: ) Power Ratio Index (Pri)mentioning

confidence: 99%

“…Since the introduction of the term, 'delta waves' and its association with the brain tumors of cerebral hemisphere by Walter [7], many researchers [8]- [14], though the neuroimaging techniques alone can produce confirmative results, have qualitatively investigated the use of scalp EEG for the diagnosis of brain tumors. However, only few researchers [15]- [20] have conducted some quantitative investigations on this issue, such as automated classification or localization using the quantitative (scalp) EEG (qEEG) features with encouraging results.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Spectral Features of EEG signal in Brain Tumor Condition

Selvam¹,

Devi

2015

Measurement Science Review

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Similarity of Lateralized Rhythmic Delta Activity to Periodic Lateralized Epileptiform Discharges in Critically Ill Patients

et al. 2013

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The increasing use of continuous electroencephalography (EEG) monitoring in the intensive care unit has led to recognition of new EEG patterns that are of unclear or unknown significance.OBJECTIVE To describe an EEG pattern, lateralized rhythmic delta activity (LRDA), encountered in critically ill subjects and determine its clinical significance in this setting. DESIGN, SETTING, AND PARTICIPANTSRetrospective review at an academic medical center of EEG recordings, medical records, and imaging studies of critically ill patients with LRDA and comparison with subjects with lateralized periodic discharges (also known as periodic lateralized epileptiform discharges), subjects with focal nonrhythmic slowing, and controls. INTERVENTION Electroencephalography or continuous electroencephalography.MAIN OUTCOMES AND MEASURES Cross-sectional prevalence of lateralized rhythmic delta activity; EEG characteristics; etiology, clinical, and radiological correlates; and risk of early seizures. RESULTSWe identified LRDA in 4.7% of acutely ill subjects undergoing EEG or continuous EEG monitoring. It was often associated with other focal EEG abnormalities, including lateralized periodic discharges in 44% of cases. The most common conditions associated with LRDA were intracranial hemorrhage and subarachnoid hemorrhage. Lateralized rhythmic delta activity was an independent predictor of acute seizures, with 63% of subjects having seizures during their acute illness, a proportion similar to subjects with lateralized periodic discharges (57%) and significantly higher than associated with focal nonrhythmic slowing (20%) or in control subjects (16%). Most patients (80%-90%) in the LRDA and lateralized periodic discharges groups who had seizures while undergoing continuous EEG monitoring had only nonconvulsive seizures, whereas this was the case for only 17% of patients in the other groups. Lateralized rhythmic delta activity and lateralized periodic discharges were both associated with lesions involving the cortex or juxtacortical white matter. CONCLUSIONS AND RELEVANCELateralized rhythmic delta activity in critically ill patients has a similar clinical significance as lateralized periodic discharges. It reflects the presence of a focal lesion and is associated with a high risk of acute seizures, especially nonconvulsive.

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Clinical correlates of frontal intermittent rhythmic delta activity (FIRDA)

Cited by 92 publications

References 16 publications

Non-epileptiform EEG abnormalities: an overview

Non-epileptiform EEG abnormalities: an overview

Analysis of Spectral Features of EEG signal in Brain Tumor Condition

Similarity of Lateralized Rhythmic Delta Activity to Periodic Lateralized Epileptiform Discharges in Critically Ill Patients

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