Activating Effects of Sleep Deprivation on Synchronized MEG-EEG Recordings of Epilepsy Patients With Non-Diagnostic EEG
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|ClinicalTrials.gov Identifier: NCT00071370|
Recruitment Status : Completed
First Posted : October 20, 2003
Last Update Posted : March 4, 2008
This study will evaluate how the state of being completely deprived of sleep has an effect on recordings of magnetoencephalography (MEG) and electroencephalography (EEG), in relation to how alert someone is and how sleepy someone perceives himself or herself to be. EEG measures electronic potential differences on the scalp. On the other hand, MEG is a non-invasive technique for recording the activity of neurons in the brain, through recording of magnetic fields caused by synchronized neural currents. It has the ability to detect seizures. Because magnetic signals of the brain vary, this technique must balance two key problems: weakness of the signal and strength of the noise. The EEG is sensitive to extra-cellular volume currents, whereas the MEG primarily registers intra-cellular currents. Because electrical fields are quite dependent on the conductive properties of the tissues, and magnetic fields are significantly less distorted by tissue, the MEG has better spatial resolution. There is a great deal of evidence that EEG and MEG provide complementary data about underlying currents of ions.
The complex relationship of sleep and epilepsy is well known. Sleep has been used for many years as a powerful EEG activator. Many researchers have supported the hypothesis that there is a specific activating effect of sleep deprivation on epileptic discharges. Sleep deprivation is defined as a sleepless state of longer than 24 hours. The increased use of MEG in diagnosis could improve the procedure for evaluating patients before surgery for epilepsy, by making invasive studies less necessary.
Patients 18 years of age or older, with a diagnosis of epilepsy and with a documented last routine EEG (at least 2 weeks earlier) and routine EEG on the day of a baseline MEG-EEG without interictal epileptiform discharges (IEDs) may be eligible for this study.
Participants will be rated according to the Epworth, Stanford, and Karolinska Sleepiness Scales, to determine their subjective sleepiness. They will be randomly assigned to stay awake all night or sleep in the hospital overnight. That is, a sleep deprivation and non-sleep deprivation synchronized MEG-EEG recording will be performed in random order. Then the sequence of sleep deprivation and non-sleep deprivation will be reversed within 14 to 21 days. During the recordings, the patient will either sit or lie with his or her head in a helmet covering the entire head, with openings for the eyes and ears. Brain magnetic fields will be recorded with a 275-channel OMEGA system. Throughout the session, visual and two-way audio communication will be maintained with the patient. Recording sessions will last 90 to 180 minutes, with the patient allowed to take breaks after at least 10 minutes in a scanner. Attempts will be made to encourage patients to stay awake and sleep for about the same amount of time during each recording, to acquire comparable amounts of sleep and awake recordings.
|Condition or disease|
We would like to evaluate the activating effects of complete sleep deprivation (SD) on synchronized MEG-EEG recordings, and on each of the components singly, in relation to the degree of alertness during recording (awake vs. sleep) and the subjective degree of sleepiness as assessed by standardized scales. We postulate that acute SD will increase the diagnostic yield of synchronized MEG-EEG and activate both modalities (MEG, EEG) to the same degree. The increased diagnostic utility of MEG could improve the epilepsy surgery evaluation procedure for many patients by rendering invasive studies less necessary. The medical and economic utilization of such expensive resources as MEG could thus be rationalized.
Participants of this study will be epilepsy patients whose last routine interictal EEG (performed at least two weeks earlier), subsequent pre-screening EEG and screening MEG-EEG show no interictal epileptiform discharges (IEDs), and are therefore considered non-diagnostic.
We will use a 275-channel Whole-head MEG System (CTF Systems 2001 Inc.). Patients will have a screening, non-SD and SD MEG-EEG after their degree of sleepiness is assessed using the Epworth, Stanford and Karnolinska sleepiness scales. Starting one day after the MEG-EEG, SD and non-SDMEG-EEG will be performed in random order within 14-21 days of each other. This will ensure an equal amount of sampling effect in SD and non-SD data sets. The MEG-EEG session will last 90 to 180 minutes. Patients may take a break after at least 10 minutes in a scanner. We will attempt to record a comparable amount of awake and sleep data. At least thirty minutes of artifact-free baseline, non-SD and SD MEG-EEG will be analyzed. For the purpose of blinding, each modality will be read independently by two readers, each of whom will be blinded to the relationship of the MEG-EEG data to sleep deprivation, results obtained by the other modality and subjective degree of sleepiness. Only interpretations of each modality agreed upon by both readers will be accepted. When there is no agreement, a third independent reader will resolve the disagreement.
The primary outcome measure will be the proportion of seizure foci detected and delineated after SD on synchronized MEG-EEG recordings. Comparisons will also be made for each recording modality and between them, according to the state of alertness during recording and subjective feeling of sleepiness before each recording.
|Study Type :||Observational|
|Enrollment :||25 participants|
|Official Title:||Activating Effects of Sleep Deprivation On Synchronized MEG-EEG Recordings Of Epilepsy Patients With Non-Diagnostic EEG|
|Study Start Date :||October 2003|
|Study Completion Date :||November 2005|
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00071370
|United States, Maryland|
|National Institute of Neurological Disorders and Stroke (NINDS)|
|Bethesda, Maryland, United States, 20892|