Literature DB >> 10825700

Brain chirps: spectrographic signatures of epileptic seizures.

S J Schiff1, D Colella, G M Jacyna, E Hughes, J W Creekmore, A Marshall, M Bozek-Kuzmicki, G Benke, W D Gaillard, J Conry, S R Weinstein.   

Abstract

OBJECTIVE: A chirp is a brief signal within which the frequency content changes rapidly. Spectrographic chirps are found in signals produced from many biological and physical phenomena. In radar and sonar engineering, signals with chirps are used to localize direction and range to the signal source. Although characteristic frequency changes during epileptic seizures have long been observed, the correlation with chirps and chirp technology seems never to have been made.
METHODS: We analyzed 19404 s (1870 s of which were from 43 seizures) of intracranially (subdural and depth electrode) recorded digital EEG from 6 patients for the presence of spectral chirps. Matched filters were constructed from methods in routine use in non-medical signal processing applications.
RESULTS: We found that chirps are very sensitive detectors of seizures (83%), and highly specific as markers (no false positive detections). The feasibility of using spectral chirps as matched filters was demonstrated.
CONCLUSIONS: Chirps are highly specific and sensitive spectrographic signatures of epileptic seizure activity. In addition, chirps may serve as templates for matched filter design to detect seizures, and as such, can demonstrate localization and propagation of seizures from an epileptic focus.

Entities:  

Mesh:

Year:  2000        PMID: 10825700     DOI: 10.1016/s1388-2457(00)00259-5

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  25 in total

1.  Introduction to focus issue: rhythms and dynamic transitions in neurological disease: modeling, computation, and experiment.

Authors:  Tasso J Kaper; Mark A Kramer; Horacio G Rotstein
Journal:  Chaos       Date:  2013-12       Impact factor: 3.642

Review 2.  Role of multiple-scale modeling of epilepsy in seizure forecasting.

Authors:  Levin Kuhlmann; David B Grayden; Fabrice Wendling; Steven J Schiff
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

3.  Inferring evoked brain connectivity through adaptive perturbation.

Authors:  Kyle Q Lepage; ShiNung Ching; Mark A Kramer
Journal:  J Comput Neurosci       Date:  2012-09-19       Impact factor: 1.621

4.  Dynamic changes of depolarizing GABA in a computational model of epileptogenic brain: Insight for Dravet syndrome.

Authors:  P Kurbatova; F Wendling; A Kaminska; A Rosati; R Nabbout; R Guerrini; O Dulac; G Pons; C Cornu; P Nony; C Chiron; P Benquet
Journal:  Exp Neurol       Date:  2016-05-28       Impact factor: 5.330

5.  High frequency EEG activity associated with ictal events in an animal model of infantile spasms.

Authors:  James D Frost; Chong L Lee; Richard A Hrachovy; John W Swann
Journal:  Epilepsia       Date:  2011-01-04       Impact factor: 5.864

6.  Spurious cross-frequency amplitude-amplitude coupling in nonstationary, nonlinear signals.

Authors:  Chien-Hung Yeh; Men-Tzung Lo; Kun Hu
Journal:  Physica A       Date:  2016-07-15       Impact factor: 3.263

Review 7.  Epilepsy as a disorder of cortical network organization.

Authors:  Mark A Kramer; Sydney S Cash
Journal:  Neuroscientist       Date:  2012-01-10       Impact factor: 7.519

8.  A systems-level approach to human epileptic seizures.

Authors:  Christian Rummel; Marc Goodfellow; Heidemarie Gast; Martinus Hauf; Frédérique Amor; Alexander Stibal; Luigi Mariani; Roland Wiest; Kaspar Schindler
Journal:  Neuroinformatics       Date:  2013-04

9.  Adaptive electric field control of epileptic seizures.

Authors:  B J Gluckman; H Nguyen; S L Weinstein; S J Schiff
Journal:  J Neurosci       Date:  2001-01-15       Impact factor: 6.167

10.  Human seizures self-terminate across spatial scales via a critical transition.

Authors:  Mark A Kramer; Wilson Truccolo; Uri T Eden; Kyle Q Lepage; Leigh R Hochberg; Emad N Eskandar; Joseph R Madsen; Jong W Lee; Atul Maheshwari; Eric Halgren; Catherine J Chu; Sydney S Cash
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-04       Impact factor: 11.205

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