Preictal Dynamics of EEG Complexity in Intracranially Recorded
Epileptic Seizure A Case Report

J 2014

Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report

BOB, Petr, Robert ROMAN, Miroslav SVĚTLÁK, Miloslav KUKLETA, Jan CHLÁDEK et. al.

Základní údaje

Originální název

Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report

Autoři

BOB, Petr (203 Česká republika, domácí), Robert ROMAN (203 Česká republika, domácí), Miroslav SVĚTLÁK (203 Česká republika, domácí), Miloslav KUKLETA (203 Česká republika, domácí), Jan CHLÁDEK (203 Česká republika, domácí) a Milan BRÁZDIL (203 Česká republika, garant, domácí)

Vydání

Medicine, Philadelphia, Lippincott Williams & Wilkins, 2014, 0025-7974

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30000 3. Medical and Health Sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 5.723

Kód RIV

RIV/00216224:14740/14:00079202

Organizační jednotka

Středoevropský technologický institut

DOI

http://dx.doi.org/10.1097/MD.0000000000000151

UT WoS

000345521300009

Klíčová slova anglicky

CORRELATION DIMENSION; CONSCIOUSNESS; FRAMEWORK

Štítky

kontrola MP, MP, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 3. 2017 10:08, doc. MUDr. Robert Roman, Ph.D.

Anotace

V originále

Recent findings suggest that neural complexity reflecting a number of independent processes in the brain may characterize typical changes during epileptic seizures and may enable to describe preictal dynamics. With respect to previously reported findings suggesting specific changes in neural complexity during preictal period, we have used measure of pointwise correlation dimension (PD2) as a sensitive indicator of nonstationary changes in complexity of the electroencephalogram (EEG) signal. Although this measure of complexity in epileptic patients was previously reported by Feucht et al,(8) it was not used to study changes in preictal dynamics. With this aim to study preictal changes of EEG complexity, we have examined signals from 11 multicontact depth (intracerebral) EEG electrodes located in 108 cortical and subcortical brain sites, and from 3 scalp EEG electrodes in a patient with intractable epilepsy, who underwent preoperative evaluation before epilepsy surgery. From those 108 EEG contacts, records related to 44 electrode contacts implanted into lesional structures and white matter were not included into the experimental analysis. The results show that in comparison to interictal period (at about 8-6 minutes before seizure onset), there was a statistically significant decrease in PD2 complexity in the preictal period at about 2 minutes before seizure onset in all 64 intracranial channels localized in various brain sites that were included into the analysis and in 3 scalp EEG channels as well. Presented results suggest that using PD2 in EEG analysis may have significant implications for research of preictal dynamics and prediction of epileptic seizures.

Návaznosti

ED1.1.00/02.0068, projekt VaV

Název: CEITEC - central european institute of technology

Přiložené soubory

ZVV_2014_195_1227704_Preictal_dynamics_EEG.pdf

Požádat o autorskou verzi souboru

Citovat

BOB, Petr, Robert ROMAN, Miroslav SVĚTLÁK, Miloslav KUKLETA, Jan CHLÁDEK a Milan BRÁZDIL. Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report. Medicine. Philadelphia: Lippincott Williams & Wilkins, 2014, roč. 93, č. 23, s. "nestránkováno", 4 s. ISSN 0025-7974. Dostupné z: https://dx.doi.org/10.1097/MD.0000000000000151.

@article{1227704,
   author = {Bob, Petr and Roman, Robert and Světlák, Miroslav and Kukleta, Miloslav and Chládek, Jan and Brázdil, Milan},
   article_location = {Philadelphia},
   article_number = {23},
   doi = {http://dx.doi.org/10.1097/MD.0000000000000151},
   keywords = {CORRELATION DIMENSION; CONSCIOUSNESS; FRAMEWORK},
   language = {eng},
   issn = {0025-7974},
   journal = {Medicine},
   title = {Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report},
   volume = {93},
   year = {2014}
}

TY  - JOUR
ID  - 1227704
AU  - Bob, Petr - Roman, Robert - Světlák, Miroslav - Kukleta, Miloslav - Chládek, Jan - Brázdil, Milan
PY  - 2014
TI  - Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report
JF  - Medicine
VL  - 93
IS  - 23
SP  - "nestránkováno"
EP  - "nestránkováno"
PB  - Lippincott Williams & Wilkins
SN  - 00257974
KW  - CORRELATION DIMENSION
KW  - CONSCIOUSNESS
KW  - FRAMEWORK
N2  - Recent findings suggest that neural complexity reflecting a number of independent processes in the brain may characterize typical changes during epileptic seizures and may enable to describe preictal dynamics. With respect to previously reported findings suggesting specific changes in neural complexity during preictal period, we have used measure of pointwise correlation dimension (PD2) as a sensitive indicator of nonstationary changes in complexity of the electroencephalogram (EEG) signal. Although this measure of complexity in epileptic patients was previously reported by Feucht et al,(8) it was not used to study changes in preictal dynamics. With this aim to study preictal changes of EEG complexity, we have examined signals from 11 multicontact depth (intracerebral) EEG electrodes located in 108 cortical and subcortical brain sites, and from 3 scalp EEG electrodes in a patient with intractable epilepsy, who underwent preoperative evaluation before epilepsy surgery. From those 108 EEG contacts, records related to 44 electrode contacts implanted into lesional structures and white matter were not included into the experimental analysis. The results show that in comparison to interictal period (at about 8-6 minutes before seizure onset), there was a statistically significant decrease in PD2 complexity in the preictal period at about 2 minutes before seizure onset in all 64 intracranial channels localized in various brain sites that were included into the analysis and in 3 scalp EEG channels as well. Presented results suggest that using PD2 in EEG analysis may have significant implications for research of preictal dynamics and prediction of epileptic seizures.
ER  -

BOB, Petr, Robert ROMAN, Miroslav SVĚTLÁK, Miloslav KUKLETA, Jan CHLÁDEK a Milan BRÁZDIL. Preictal Dynamics of EEG Complexity in Intracranially Recorded Epileptic Seizure A Case Report. \textit{Medicine}. Philadelphia: Lippincott Williams \&{} Wilkins, 2014, roč.~93, č.~23, s.~''nestránkováno'', 4 s. ISSN~0025-7974. Dostupné z: https://dx.doi.org/10.1097/MD.0000000000000151.

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