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Daily variation in an intracranial EEG feature in humans detected by a responsive neurostimulator system.
- Source :
-
Epilepsia [Epilepsia] 2007 Aug; Vol. 48 (8), pp. 1614-20. Date of Electronic Publication: 2007 Apr 18. - Publication Year :
- 2007
-
Abstract
- Purpose: Based on the observation that epileptic seizures can occur at specific times of the day, we looked for daily variation in an intracranial electrographic feature used by a responsive neurostimulator system to detect seizures.<br />Methods: A computationally efficient measure of intracranial EEG energy or complexity, the line length baseline, was calculated and reported by an external responsive neurostimulator during a clinical trial of device safety. Data were obtained from 24 consecutive patients with medically intractable epilepsy undergoing intracranial monitoring over 2 to 54 days to localize the seizure onset zone. Measurements from individual subjects made at different times of day over many days were displayed on a single 24-h cycle and fit with a cosine function to characterize the time of the maximum value. The timing of epileptic seizures was also noted.<br />Results: The time of the maximum line length baseline value had a bimodal distribution with relative peaks at 05:30 and 15:00 hours. The time of the maximum value did not associate with specific brain regions, except that a nocturnal peak was not measured from temporal neocortex. The temporal distribution of maximum values was similar to the timing of epileptic seizures.<br />Conclusion: The line length baseline feature of the intracranial EEG shows daily variation with location specific characteristics within individual subjects.
- Subjects :
- Adolescent
Adult
Brain Mapping
Electric Stimulation Therapy adverse effects
Electric Stimulation Therapy methods
Electrodes, Implanted
Epilepsy prevention & control
Equipment Safety
Evaluation Studies as Topic
Feedback physiology
Female
Humans
Male
Middle Aged
Temporal Lobe physiopathology
Cerebral Cortex physiopathology
Circadian Rhythm physiology
Electric Stimulation Therapy instrumentation
Electroencephalography statistics & numerical data
Epilepsy diagnosis
Epilepsy physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 0013-9580
- Volume :
- 48
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Epilepsia
- Publication Type :
- Academic Journal
- Accession number :
- 17442001
- Full Text :
- https://doi.org/10.1111/j.1528-1167.2007.01091.x