Literature DB >> 14597320

Seizure prediction using scalp electroencephalogram.

Ivo Drury1, Brien Smith, Dingzhou Li, Robert Savit.   

Abstract

Using a measure of nonlinear dynamical changes we term marginal predictability, we report evidence of robust changes in this parameter on scalp EEG in a cohort of patients with medically refractory mesiobasal temporal lobe epilepsy (MBTLE). In the baseline (interictal) state there are distinct differences in this nonlinear measure between epileptic and neurologically normal subjects. At baseline, in patients with MBTLE there are differences in these measures between electrodes adjacent to the ictal onset zone and more remotely placed electrodes. The character of these differences evolves over a period of approximately 30 min before a seizure. We discuss and integrate our findings with two emerging concepts in epileptology, first, the concept of a preictal or transition phase rather than an abrupt movement from interictal to ictal activity, and second, the notion of an epileptic neural network with changes in areas of brain remote from what has traditionally been considered the ictal onset zone influencing "ictogenesis."

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Mesh:

Year:  2003        PMID: 14597320     DOI: 10.1016/s0014-4886(03)00354-6

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.330


  7 in total

Review 1.  Seizure prediction and its applications.

Authors:  Leon D Iasemidis
Journal:  Neurosurg Clin N Am       Date:  2011-10       Impact factor: 2.509

2.  Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients. A preliminary study.

Authors:  Angela A Bruzzo; Benno Gesierich; Maurizio Santi; Carlo Alberto Tassinari; Niels Birbaumer; Guido Rubboli
Journal:  Neurol Sci       Date:  2008-04-01       Impact factor: 3.307

3.  A rule-based seizure prediction method for focal neocortical epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2012-02-22       Impact factor: 3.708

Review 4.  Therapeutic devices for epilepsy.

Authors:  Robert S Fisher
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

5.  Seizure prediction in patients with focal hippocampal epilepsy.

Authors:  Ardalan Aarabi; Bin He
Journal:  Clin Neurophysiol       Date:  2017-05-12       Impact factor: 3.708

6.  Transition of brain networks from an interictal to a preictal state preceding a seizure revealed by scalp EEG network analysis.

Authors:  Fali Li; Yi Liang; Luyan Zhang; Chanlin Yi; Yuanyuan Liao; Yuanling Jiang; Yajing Si; Yangsong Zhang; Dezhong Yao; Liang Yu; Peng Xu
Journal:  Cogn Neurodyn       Date:  2019-01-02       Impact factor: 5.082

7.  Seizure prediction.

Authors:  J Chris Sackellares
Journal:  Epilepsy Curr       Date:  2008 May-Jun       Impact factor: 7.500

  7 in total

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