Literature DB >> 12723056

Detection of seizure precursors from depth-EEG using a sign periodogram transform.

Joël J Niederhauser1, Rosana Esteller, Javier Echauz, George Vachtsevanos, Brian Litt.   

Abstract

Brief bursts of focal, low amplitude rhythmic activity have been observed on depth electroencephalogram (EEG) in the minutes before electrographic onset of seizures in human mesial temporal lobe epilepsy. We have found these periods to contain discrete, individualized synchronized activity in patient-specific frequency bands ranging from 20 to 40 Hz. We present a method for detecting and displaying these events using a periodogram of the sign-limited temporal derivative of the EEG signal, denoted joint sign periodogram event characterization transform (JSPECT). When applied to continuous 2-6 day depth-EEG recordings from ten patients with temporal lobe epilepsy, JSPECT demonstrated that these patient-specific EEG events reliably occurred 5-80 s prior to electrical onset of seizures in five patients with focal, unilateral seizure onsets. JSPECT did not reveal this type of activity prior to seizures in five other patients with bilateral, extratemporal or more diffuse seizure onsets on EEG. Patient-specific, localized rhythmic events may play an important role in seizure generation in temporal lobe epilepsy. The JSPECT method efficiently detects these events, and may be useful as part of an automated system for predicting electrical seizure onset in appropriate patients.

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Year:  2003        PMID: 12723056     DOI: 10.1109/TBME.2003.809497

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  12 in total

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4.  Genetic Programming of Conventional Features to Detect Seizure Precursors.

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Review 6.  Emerging surgical therapies in the treatment of pediatric epilepsy.

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8.  Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis.

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9.  Resected Brain Tissue, Seizure Onset Zone and Quantitative EEG Measures: Towards Prediction of Post-Surgical Seizure Control.

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10.  Spatiotemporal dynamics of maximal and minimal EEG spectral power.

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Journal:  PLoS One       Date:  2021-07-20       Impact factor: 3.240

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