Intracerebrally recorded high frequency oscillations: Simple
visual assessment versus automated detection

J 2013

Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection

PAIL, Martin; Josef HALÁMEK; Pavel DANIEL; Robert KUBA; Ivana TYRLÍKOVÁ et. al.

Basic information

Original name

Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection

Authors

PAIL, Martin; Josef HALÁMEK; Pavel DANIEL ; Robert KUBA; Ivana TYRLÍKOVÁ; Jan CHRASTINA; Pavel JURÁK; Ivan REKTOR and Milan BRÁZDIL

Edition

Clinical Neurophysiology, Clare, Elsevier Ireland, 2013, 1388-2457

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

30000 3. Medical and Health Sciences

Country of publisher

Ireland

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Impact factor

Impact factor: 2.979

RIV identification code

RIV/00216224:14740/13:00066144

Organization unit

Central European Institute of Technology

DOI

https://doi.org/10.1016/j.clinph.2013.03.032

UT WoS

000324531400006

Keywords in English

High frequency oscillations; Spikes; Ripples; Fast ripples; Temporal lobe epilepsy; Extratemporal lobe epilepsy; Seizure onset zone; Epileptogenic zone

Abstract

In the original language

Objective: We compared the possible contribution (in the detection of seizure onset zone – SOZ) of simple visual assessment of intracerebrally recorded high-frequency oscillations (HFO) with standard automated detection. Methods: We analyzed stereo-EEG (SEEG) recordings from 20 patients with medically intractable partial seizures (10 temporal/10 extratemporal). Independently using simple visual assessment and automated detection of HFO, we identified the depth electrode contacts with maximum occurrences of ripples (R) and fast ripples (FR). The SOZ was determined by independent visual identification in standard SEEG recordings, and the congruence of results from visual versus automated HFO detection was compared. Results: Automated detection of HFO correctly identified the SOZ in 14 (R)/10 (FR) out of 20 subjects; a simple visual assessment of SEEG recordings in the appropriate frequency ranges correctly identified the SOZ in 13 (R)/9 (FR) subjects. Conclusions: Simple visual assessment of SEEG traces and standard automated detection of HFO seem to contribute comparably to the identification of the SOZ in patients with focal epilepsies. When using macroelectrodes in neocortical extratemporal epilepsies, the SOZ might be better determined by the ripple range. Significance: Standard automated detection of HFO enables the evaluation of HFO characteristics in whole data. This detection allows general purpose and objective evaluation, without any bias from the neurophysiologist’s experiences and practice

Links

ED1.1.00/02.0068, research and development project

Name: CEITEC - central european institute of technology

GAP103/11/0933, research and development project

Name: Analýza vysokofrekvenčního EEG signálu z hlubokých mozkových elektrod

Investor: Czech Science Foundation

MSM0021622404, plan (intention)

Name: Vnitřní organizace a neurobiologické mechanismy funkčních systémů CNS

Investor: Ministry of Education, Youth and Sports of the CR, The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.

Cite

PAIL, Martin; Josef HALÁMEK; Pavel DANIEL; Robert KUBA; Ivana TYRLÍKOVÁ; Jan CHRASTINA; Pavel JURÁK; Ivan REKTOR and Milan BRÁZDIL. Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection. Clinical Neurophysiology. Clare: Elsevier Ireland, 2013, vol. 124, No 10, p. 1935-1942. ISSN 1388-2457. Available from: https://doi.org/10.1016/j.clinph.2013.03.032.

@article{1110042,
   author = {Pail, Martin and Halámek, Josef and Daniel, Pavel and Kuba, Robert and Tyrlíková, Ivana and Chrastina, Jan and Jurák, Pavel and Rektor, Ivan and Brázdil, Milan},
   article_location = {Clare},
   article_number = {10},
   doi = {https://doi.org/10.1016/j.clinph.2013.03.032},
   keywords = {High frequency oscillations; Spikes; Ripples; Fast ripples; Temporal lobe epilepsy; Extratemporal lobe epilepsy; Seizure onset zone; Epileptogenic zone},
   language = {eng},
   issn = {1388-2457},
   journal = {Clinical Neurophysiology},
   title = {Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection},
   url = {http://www.sciencedirect.com/science/article/pii/S1388245713003143#},
   volume = {124},
   year = {2013}
}

TY  - JOUR
ID  - 1110042
AU  - Pail, Martin - Halámek, Josef - Daniel, Pavel - Kuba, Robert - Tyrlíková, Ivana - Chrastina, Jan - Jurák, Pavel - Rektor, Ivan - Brázdil, Milan
PY  - 2013
TI  - Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection
JF  - Clinical Neurophysiology
VL  - 124
IS  - 10
SP  - 1935-1942
EP  - 1935-1942
PB  - Elsevier Ireland
SN  - 13882457
KW  - High frequency oscillations
KW  - Spikes
KW  - Ripples
KW  - Fast ripples
KW  - Temporal lobe epilepsy
KW  - Extratemporal lobe epilepsy
KW  - Seizure onset zone
KW  - Epileptogenic zone
UR  - http://www.sciencedirect.com/science/article/pii/S1388245713003143#
L2  - http://www.sciencedirect.com/science/article/pii/S1388245713003143#
N2  - Objective: We compared the possible contribution (in the detection of seizure onset zone – SOZ) of simple visual assessment of intracerebrally recorded high-frequency oscillations (HFO) with standard automated detection. Methods: We analyzed stereo-EEG (SEEG) recordings from 20 patients with medically intractable partial seizures (10 temporal/10 extratemporal). Independently using simple visual assessment and automated detection of HFO, we identified the depth electrode contacts with maximum occurrences of ripples (R) and fast ripples (FR). The SOZ was determined by independent visual identification in standard SEEG recordings, and the congruence of results from visual versus automated HFO detection was compared. Results: Automated detection of HFO correctly identified the SOZ in 14 (R)/10 (FR) out of 20 subjects; a simple visual assessment of SEEG recordings in the appropriate frequency ranges correctly identified the SOZ in 13 (R)/9 (FR) subjects. Conclusions: Simple visual assessment of SEEG traces and standard automated detection of HFO seem to contribute comparably to the identification of the SOZ in patients with focal epilepsies. When using macroelectrodes in neocortical extratemporal epilepsies, the SOZ might be better determined by the ripple range. Significance: Standard automated detection of HFO enables the evaluation of HFO characteristics in whole data. This detection allows general purpose and objective evaluation, without any bias from the neurophysiologist’s experiences and practice
ER  -

PAIL, Martin; Josef HALÁMEK; Pavel DANIEL; Robert KUBA; Ivana TYRLÍKOVÁ; Jan CHRASTINA; Pavel JURÁK; Ivan REKTOR and Milan BRÁZDIL. Intracerebrally recorded high frequency oscillations: Simple visual assessment versus automated detection. \textit{Clinical Neurophysiology}. Clare: Elsevier Ireland, 2013, vol.~124, No~10, p.~1935-1942. ISSN~1388-2457. Available from: https://doi.org/10.1016/j.clinph.2013.03.032.

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