EpilepsyHFOsNCT00600717
Clinical Applications of High-Frequency Oscillations
An observational study of Epilepsy and Migraine, run by Children's Hospital Medical Center, Cincinnati at 1 site in United States.
Trial summary
The objective of this study is to utilize high-frequency brain signals (HFBS) to localize functional brain areas and characterize HFBS in epilepsy, migraine, and other brain disorders. Our goal is to create the world's first high-frequency MEG/EEG/ECoG/SEEG database for the developing brain. Read more about this study
- Who is it for?
- Ages 1 day to 69 yearsHealthy volunteers can take part
- How many people
- 0 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Nov 2000to 1 Aug 2027
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 1 day to 69 years
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Study population: The study will obtain MEG/EEG data from healthy subjects, recruiting only individuals without underlying health conditions. Additionally, this study will utilize clinical MEG/EEG data from patients, which are acquired as part of standard clinical care for clinical purposes. Since women, girls, and minorities are included in the population to whom recruiting materials are directed, we anticipate that subject selection will be equitable.
Who may be able to join
- Healthy and cooperative.
- Ages: from 1 day to 69 years (male or female).
- Normal hearing and vision.
- Normal hand movement.
- No history of neurological or psychiatric diseases.
- No family history of genetic neurological or psychiatric diseases.
- No metal implants such as pacemakers, neuro-stimulators, cochlear implants, etc.
Who cannot join
- Taking any medications for depression, neurologic, or psychiatric conditions.
- Not feeling well, having epilepsy, or other brain disorders.
- Recent concussion or head injury.
- Presence of metal in the body, such as dental braces, which could cause "magnetic noise". A simple, quick "magnetic noise screening" can be conducted at the MEG Center to determine eligibility.
- Presence of electrical or metal implants such as pacemakers, neuro-stimulators, or orthopedic pins or plates. The research nurse will discuss all exclusions in further detail before the magnetic resonance imaging (MRI) scan.
- Inability to pass the pre-experimental screening.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals
The objective of this study is to utilize high-frequency brain signals (HFBS) to localize functional brain areas and characterize HFBS in epilepsy, migraine, and other brain disorders. Our goal is to create the world's first high-frequency MEG/EEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, spikelets, fast spikelets, and very high-frequency oscillations (VHFOs). While terminologies and frequency bands may vary among reports, both HFOs and high-gamma waves are crucial for understanding brain function and developing potential treatments for neurological disorders.
We have been developing an intelligent software platform to analyze signals from low to very high-frequency ranges across multiple frequency bands. To achieve these goals, we have developed several innovative techniques and software packages:
- Accumulated spectrogram
- Accumulated source imaging
- Frequency-encoded source imaging
- Multi-frequency analysis at source levels
- Artificial intelligence detection of HFOs
- Neural network analysis (Graph Theory)
- Other techniques (e.g., Independent Component Analysis, virtual sensors) These methods enable researchers to better understand the characteristics and significance of HFOs and high-gamma brain waves, contributing to advancements in the diagnosis and treatment of neurological disorders.
Read the detailed description
The purpose of this study is to go beyond conventional analyses of brain signals in narrow frequency bands (typically 1-30 Hz) by measuring brain signals from infraslow to very fast frequencies (0.01 - 2800 Hz). Specifically, we propose to study physiological high-frequency oscillations (HFOs) in sensorimotor, auditory, visual, and language-evoked magnetic fields, and to investigate pathological HFOs in epilepsy, migraines, and other disorders. This is clinically important for several reasons.
For instance, there are 400,000 to 600,000 patients with refractory epilepsy in the United States. As these patients' seizures cannot be controlled by medication, epilepsy surgery is a potential cure. Accurate identification of ictogenic zones (the brain areas that cause seizures) is essential for favorable surgical outcomes. Unfortunately, the existing method, electrocorticography (ECoG), requires placing electrodes on the brain surface to capture spikes (typically, 14-70 Hz), which is both risky and costly. Our study aims to use magnetoencephalography (MEG) and electroencephalography (EEG) to identify ictogenic zones non-invasively. To achieve this goal, we propose detecting high-frequency (70-2500 Hz) and low-frequency (< 14 Hz) brain signals using advanced signal processing methods. Our central hypothesis is that high-frequency brain signals will lead to significantly improved rates of seizure freedom compared to spikes. This hypothesis is based on recent reports that high-frequency brain signals are localized to ictogenic zones.
Leveraging our unique resources and expertise, we plan to address four specific aims:
- Quantify the Spatial Concordance: We will quantify the spatial concordance between MEG and ECoG signals in both low and high-frequency ranges. We hypothesize that ictogenic zones determined by invasive ECoG can be non-invasively detected and localized by high-frequency MEG signals.
- Quantify the Occurrence Concordance: We will quantify the occurrence concordance between EEG and ECoG signals in both low and high-frequency ranges. We hypothesize that epileptic high-frequency signals from the ictogenic zones determined by invasive ECoG can also be non-invasively detected by EEG, although the localization of EEG may be significantly inferior to that of MEG.
- Improve Epilepsy Surgery Outcomes: We will determine whether epilepsy surgery based on multi-frequency signals (low-frequency brain signals, spikes, and high-frequency brain signals), instead of spikes alone, leads to better seizure outcomes. We hypothesize that epilepsy surgery guided by high-frequency brain signals detected with MEG/EEG will significantly improve surgical outcomes.
- Enhance Pre-surgical Planning: We will determine whether multi-frequency analyses provide more information than single-frequency analysis for estimating epileptogenic zones for pre-surgical ECoG electrode implantation. We hypothesize that covering all brain areas generating low to high-frequency epileptic activity is a prerequisite to localize multiple ictogenic zones for favorable post-surgical outcomes.
To yield definitive results, we propose a multi-center study to determine if high-frequency brain signals are new biomarkers for significantly improving epilepsy surgery outcomes. According to our pilot data, localization of epileptogenic zones with MEG high-frequency signals can increase post-operative seizure freedom by approximately 30-40%. The proposed study should result in millions of intractable epilepsy patients being seizure-free. Additionally, this study lays the foundation for using low and high-frequency brain signals as new biomarkers for the diagnosis and treatment of various other disorders (e.g., migraine, autism).
Furthermore, we will incorporate Optically Pumped Magnetometers MEG (OPM-MEG) to enhance the detection of high-frequency brain signals. OPM-MEG offers higher sensitivity and spatial resolution compared to conventional MEG, making it an invaluable tool for our research objectives.
- Keywords
- Magnetoencephalography(MEG), Electroencephalography (EEG), Intracranial recordings (iEEG/ECoG/SEEG), Functional Mapping, Epilepsy, Migraine, High frequency oscillations (HFOs), ripples, fast ripples, high-gamma, very high frequency oscillations (VHFOs), ultra fast oscillations, spikelet, fast spikelet, Optically Pumped Magnetometer, Wearable MEG, Multi-frequency Analysis, Frequency Encoded Source Imaging, Artificial Intelligence (AI), CUDA
- Medical subject headings
- Epilepsy, Migraine Disorders, Headache, Pain, Autistic Disorder, Cerebral Palsy, Brain Injuries, Traumatic, Attention Deficit Disorder with Hyperactivity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Pediatric Patients and Healthy Children | Healthy children without dental works. Pediatric patients with epilepsy and migraine (headache). |
What is being measured
The primary outcome is the main question the study is designed to answer.
epileptic foci
Accuracy of localization of epileptic foci
Measured: one year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 Jan 2008 (estimated)
- Study start1 Nov 2000 (estimated)
- Primary completion1 Aug 2027 (estimated)
- Study completion1 Aug 2027 (estimated)
Why it stopped: No participants were enrolled to collected prospective data.
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (78)Papers the sponsor has linked to this study.
- Other trials for EpilepsyStudies of the same condition, open and under way.
- More trials run by Children's Hospital Medical Center, CincinnatiThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Prospective
- Enrolment
- 0 participants (actual)
Sponsor and investigators
- Lead sponsor
- Children's Hospital Medical Center, Cincinnati
- Sponsor type
- University, hospital or other
- Collaborators
- University of Cincinnati
- Responsible party
- Sponsor
- Investigators
- Jing Xiang, Ph.D M.D., Study director, Children's Hospital Medical Center, Cincinnati
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT00600717
- Sponsor's protocol ID
- IRB 2012-0866; 2018-8108
- Other IDs
- 2008-1439
- Acronym
- HFOs
- Status last verified
- Feb 2026
- First submitted
- 14 Jun 2007
- Last updated
- 4 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Kotecha R, Xiang J, Wang Y, Huo X, Hemasilpin N, Fujiwara H, Rose D, deGrauw T. Time, frequency and volumetric differences of high-frequency neuromagnetic oscillation between left and right somatosensory cortices. Int J Psychophysiol. 2009 May;72(2):102-10. doi: 10.1016/j.ijpsycho.2008.10.009. Epub 2008 Nov 14.
PubMed 19041674Wang Y, Xiang J, Kotecha R, Vannest J, Liu Y, Rose D, Schapiro M, Degrauw T. Spatial and frequency differences of neuromagnetic activities between the perception of open- and closed-class words. Brain Topogr. 2008 Dec;21(2):75-85. doi: 10.1007/s10548-008-0060-7. Epub 2008 Aug 5.
PubMed 18679788Liu Y, Xiang J, Wang Y, Vannest JJ, Byars AW, Rose DF. Spatial and frequency differences of neuromagnetic activities in processing concrete and abstract words. Brain Topogr. 2008 Spring;20(3):123-9. doi: 10.1007/s10548-007-0038-x. Epub 2007 Dec 6.
PubMed 18058218Xiang J, Xiao Z. Spatiotemporal and frequency signatures of noun and verb processing: a wavelet-based beamformer study. J Clin Exp Neuropsychol. 2009 Aug;31(6):648-57. doi: 10.1080/13803390802448651. Epub 2008 Dec 22.
PubMed 19105073Guo X, Xiang J, Mun-Bryce S, Bryce M, Huang S, Huo X, Wang Y, Rose D, Degrauw T, Gartner K, Song T, Schmit J, Vargus-Adams J. Aberrant high-gamma oscillations in the somatosensory cortex of children with cerebral palsy: a meg study. Brain Dev. 2012 Aug;34(7):576-83. doi: 10.1016/j.braindev.2011.09.012. Epub 2011 Oct 21.
PubMed 22018901Korostenskaja M, Pardos M, Kujala T, Rose DF, Brown D, Horn P, Wang Y, Fujiwara H, Xiang J, Kabbouche MA, Powers SW, Hershey AD. Impaired auditory information processing during acute migraine: a magnetoencephalography study. Int J Neurosci. 2011 Jul;121(7):355-65. doi: 10.3109/00207454.2011.560312. Epub 2011 Mar 22.
PubMed 21425948Zhang R, Wu T, Wang Y, Liu H, Zou Y, Liu W, Xiang J, Xiao C, Yang L, Fu Z. Interictal magnetoencephalographic findings related with surgical outcomes in lesional and nonlesional neocortical epilepsy. Seizure. 2011 Nov;20(9):692-700. doi: 10.1016/j.seizure.2011.06.021. Epub 2011 Jul 22.
PubMed 21782477Wang Y, Xiang J, Vannest J, Holroyd T, Narmoneva D, Horn P, Liu Y, Rose D, deGrauw T, Holland S. Neuromagnetic measures of word processing in bilinguals and monolinguals. Clin Neurophysiol. 2011 Sep;122(9):1706-17. doi: 10.1016/j.clinph.2011.02.008. Epub 2011 Mar 16.
PubMed 21414839Korostenskaja M, Pardos M, Fujiwara H, Kujala T, Horn P, Rose D, Byars A, Brown D, Seo JH, Wang Y, Vannest J, Xiang J, Degrauw T, Naatanen R, Lee KH. Neuromagnetic evidence of impaired cortical auditory processing in pediatric intractable epilepsy. Epilepsy Res. 2010 Nov;92(1):63-73. doi: 10.1016/j.eplepsyres.2010.08.008. Epub 2010 Sep 21.
PubMed 20863661Meng L, Xiang J, Kotecha R, Rose D, Zhao H, Zhao D, Yang J, Degrauw T. White matter abnormalities in children and adolescents with temporal lobe epilepsy. Magn Reson Imaging. 2010 Nov;28(9):1290-8. doi: 10.1016/j.mri.2010.03.046. Epub 2010 Jul 24.
PubMed 20656430Huo X, Wang Y, Kotecha R, Kirtman EG, Fujiwara H, Hemasilpin N, Degrauw T, Rose DF, Xiang J. High gamma oscillations of sensorimotor cortex during unilateral movement in the developing brain: a MEG study. Brain Topogr. 2011 Jan;23(4):375-84. doi: 10.1007/s10548-010-0151-0. Epub 2010 Jun 25.
PubMed 20577795Wang X, Xiang J, Wang Y, Pardos M, Meng L, Huo X, Korostenskaja M, Powers SW, Kabbouche MA, Hershey AD. Identification of abnormal neuromagnetic signatures in the motor cortex of adolescent migraine. Headache. 2010 Jun;50(6):1005-16. doi: 10.1111/j.1526-4610.2010.01674.x. Epub 2010 May 7.
PubMed 20487034Chen Y, Xiang J, Kirtman EG, Wang Y, Kotecha R, Liu Y. Neuromagnetic biomarkers of visuocortical development in healthy children. Clin Neurophysiol. 2010 Sep;121(9):1555-1562. doi: 10.1016/j.clinph.2010.03.029. Epub 2010 Apr 14.
PubMed 20395171Huo X, Xiang J, Wang Y, Kirtman EG, Kotecha R, Fujiwara H, Hemasilpin N, Rose DF, Degrauw T. Gamma oscillations in the primary motor cortex studied with MEG. Brain Dev. 2010 Sep;32(8):619-24. doi: 10.1016/j.braindev.2009.09.021.
PubMed 19836911Xiang J, Liu Y, Wang Y, Kirtman EG, Kotecha R, Chen Y, Huo X, Fujiwara H, Hemasilpin N, Lee K, Mangano FT, Leach J, Jones B, DeGrauw T, Rose D. Frequency and spatial characteristics of high-frequency neuromagnetic signals in childhood epilepsy. Epileptic Disord. 2009 Jun;11(2):113-25. doi: 10.1684/epd.2009.0253. Epub 2009 May 27.
PubMed 19473946
Study at a glance
From the registry record, last updated by the sponsor on 4 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals
- ClinicalTrials.gov ID
- NCT00600717
- Acronym / sponsor ID
- HFOs / IRB 2012-0866; 2018-8108
- Keywords
- Magnetoencephalography(MEG), Electroencephalography (EEG), Intracranial recordings (iEEG/ECoG/SEEG), Functional Mapping, Epilepsy, Migraine, High frequency oscillations (HFOs), ripples
- Study type
- Observational
- Recruitment status
- WithdrawnReason stopped: No participants were enrolled to collected prospective data.
- Enrolment
- 0 participants (actual)
- Lead sponsor
- Children's Hospital Medical Center, CincinnatiUniversity, hospital or other
- Collaborators
- University of Cincinnati
- Study start
- 1 Nov 2000 (estimated)
- Primary completion
- 1 Aug 2027 (estimated)
- Study completion
- 1 Aug 2027 (estimated)
- First posted
- 25 Jan 2008 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The objective of this study is to utilize high-frequency brain signals (HFBS) to localize functional brain areas and characterize HFBS in epilepsy, migraine, and other brain disorders. Our goal is to create the world's first high-frequency MEG/EEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, spikelets, fast spikelets, and very high-frequency oscillations (VHFOs). While terminologies and frequency bands may vary among reports, both HFOs and high-gamma waves are crucial for understanding brain function and developing potential treatments for neurological disorders.
We have been developing an intelligent software platform to analyze signals from low to very high-frequency ranges across multiple frequency bands. To achieve these goals, we have developed several innovative techniques and software packages:
- Accumulated spectrogram
- Accumulated source imaging
- Frequency-encoded source imaging
- Multi-frequency analysis at source levels
- Artificial intelligence detection of HFOs
- Neural network analysis (Graph Theory)
- Other techniques (e.g., Independent Component Analysis, virtual sensors) These methods enable researchers to better understand the characteristics and significance of HFOs and high-gamma brain waves, contributing to advancements in the diagnosis and treatment of neurological disorders.
Detailed description
The purpose of this study is to go beyond conventional analyses of brain signals in narrow frequency bands (typically 1-30 Hz) by measuring brain signals from infraslow to very fast frequencies (0.01 - 2800 Hz). Specifically, we propose to study physiological high-frequency oscillations (HFOs) in sensorimotor, auditory, visual, and language-evoked magnetic fields, and to investigate pathological HFOs in epilepsy, migraines, and other disorders. This is clinically important for several reasons.
For instance, there are 400,000 to 600,000 patients with refractory epilepsy in the United States. As these patients' seizures cannot be controlled by medication, epilepsy surgery is a potential cure. Accurate identification of ictogenic zones (the brain areas that cause seizures) is essential for favorable surgical outcomes. Unfortunately, the existing method, electrocorticography (ECoG), requires placing electrodes on the brain surface to capture spikes (typically, 14-70 Hz), which is both risky and costly. Our study aims to use magnetoencephalography (MEG) and electroencephalography (EEG) to identify ictogenic zones non-invasively. To achieve this goal, we propose detecting high-frequency (70-2500 Hz) and low-frequency (< 14 Hz) brain signals using advanced signal processing methods. Our central hypothesis is that high-frequency brain signals will lead to significantly improved rates of seizure freedom compared to spikes. This hypothesis is based on recent reports that high-frequency brain signals are localized to ictogenic zones.
Leveraging our unique resources and expertise, we plan to address four specific aims:
- Quantify the Spatial Concordance: We will quantify the spatial concordance between MEG and ECoG signals in both low and high-frequency ranges. We hypothesize that ictogenic zones determined by invasive ECoG can be non-invasively detected and localized by high-frequency MEG signals.
- Quantify the Occurrence Concordance: We will quantify the occurrence concordance between EEG and ECoG signals in both low and high-frequency ranges. We hypothesize that epileptic high-frequency signals from the ictogenic zones determined by invasive ECoG can also be non-invasively detected by EEG, although the localization of EEG may be significantly inferior to that of MEG.
- Improve Epilepsy Surgery Outcomes: We will determine whether epilepsy surgery based on multi-frequency signals (low-frequency brain signals, spikes, and high-frequency brain signals), instead of spikes alone, leads to better seizure outcomes. We hypothesize that epilepsy surgery guided by high-frequency brain signals detected with MEG/EEG will significantly improve surgical outcomes.
- Enhance Pre-surgical Planning: We will determine whether multi-frequency analyses provide more information than single-frequency analysis for estimating epileptogenic zones for pre-surgical ECoG electrode implantation. We hypothesize that covering all brain areas generating low to high-frequency epileptic activity is a prerequisite to localize multiple ictogenic zones for favorable post-surgical outcomes.
To yield definitive results, we propose a multi-center study to determine if high-frequency brain signals are new biomarkers for significantly improving epilepsy surgery outcomes. According to our pilot data, localization of epileptogenic zones with MEG high-frequency signals can increase post-operative seizure freedom by approximately 30-40%. The proposed study should result in millions of intractable epilepsy patients being seizure-free. Additionally, this study lays the foundation for using low and high-frequency brain signals as new biomarkers for the diagnosis and treatment of various other disorders (e.g., migraine, autism).
Furthermore, we will incorporate Optically Pumped Magnetometers MEG (OPM-MEG) to enhance the detection of high-frequency brain signals. OPM-MEG offers higher sensitivity and spatial resolution compared to conventional MEG, making it an invaluable tool for our research objectives.
Study design
- Observational model
- Other
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Pediatric Patients and Healthy Children | – | –Healthy children without dental works. Pediatric patients with epilepsy and migraine (headache). |
Who may qualify
- Ages
- 1 day to 69 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
- Study population
- The study will obtain MEG/EEG data from healthy subjects, recruiting only individuals without underlying health conditions. Additionally, this study will utilize clinical MEG/EEG data from patients, which are acquired as part of standard clinical care for clinical purposes. Since women, girls, and minorities are included in the population to whom recruiting materials are directed, we anticipate that subject selection will be equitable.
Key inclusion criteria (7 listed)
- Healthy and cooperative.
- Ages: from 1 day to 69 years (male or female).
- Normal hearing and vision.
- Normal hand movement.
- No history of neurological or psychiatric diseases.
Key exclusion criteria (6 listed)
- Taking any medications for depression, neurologic, or psychiatric conditions.
- Not feeling well, having epilepsy, or other brain disorders.
- Recent concussion or head injury.
- Presence of metal in the body, such as dental braces, which could cause "magnetic noise". A simple, quick "magnetic noise screening" can be conducted at the MEG Center to determine eligibility.
- Presence of electrical or metal implants such as pacemakers, neuro-stimulators, or orthopedic pins or plates. The research nurse will discuss all exclusions in further detail before the magnetic resonance imaging (MRI) scan.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
epileptic foci
Time frame: one year
Accuracy of localization of epileptic foci
Results and safety
The study was withdrawn before enrolling participants, so there are no results.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Feb 2026.
- Background: PubMed 19041674Kotecha R, Xiang J, Wang Y, Huo X, Hemasilpin N, Fujiwara H, Rose D, deGrauw T. Time, frequency and volumetric differences of high-frequency neuromagnetic oscillation between left and right somatosensory cortices. Int J Psychophysiol. 2009 May;72(2):102-10. doi: 10.1016/j.ijpsycho.2008.10.009. Epub 2008 Nov 14.
- Background: PubMed 18679788Wang Y, Xiang J, Kotecha R, Vannest J, Liu Y, Rose D, Schapiro M, Degrauw T. Spatial and frequency differences of neuromagnetic activities between the perception of open- and closed-class words. Brain Topogr. 2008 Dec;21(2):75-85. doi: 10.1007/s10548-008-0060-7. Epub 2008 Aug 5.
- Background: PubMed 18058218Liu Y, Xiang J, Wang Y, Vannest JJ, Byars AW, Rose DF. Spatial and frequency differences of neuromagnetic activities in processing concrete and abstract words. Brain Topogr. 2008 Spring;20(3):123-9. doi: 10.1007/s10548-007-0038-x. Epub 2007 Dec 6.
- Background: PubMed 19105073Xiang J, Xiao Z. Spatiotemporal and frequency signatures of noun and verb processing: a wavelet-based beamformer study. J Clin Exp Neuropsychol. 2009 Aug;31(6):648-57. doi: 10.1080/13803390802448651. Epub 2008 Dec 22.
- Background: PubMed 22018901Guo X, Xiang J, Mun-Bryce S, Bryce M, Huang S, Huo X, Wang Y, Rose D, Degrauw T, Gartner K, Song T, Schmit J, Vargus-Adams J. Aberrant high-gamma oscillations in the somatosensory cortex of children with cerebral palsy: a meg study. Brain Dev. 2012 Aug;34(7):576-83. doi: 10.1016/j.braindev.2011.09.012. Epub 2011 Oct 21.
- Background: PubMed 21425948Korostenskaja M, Pardos M, Kujala T, Rose DF, Brown D, Horn P, Wang Y, Fujiwara H, Xiang J, Kabbouche MA, Powers SW, Hershey AD. Impaired auditory information processing during acute migraine: a magnetoencephalography study. Int J Neurosci. 2011 Jul;121(7):355-65. doi: 10.3109/00207454.2011.560312. Epub 2011 Mar 22.
- Background: PubMed 21782477Zhang R, Wu T, Wang Y, Liu H, Zou Y, Liu W, Xiang J, Xiao C, Yang L, Fu Z. Interictal magnetoencephalographic findings related with surgical outcomes in lesional and nonlesional neocortical epilepsy. Seizure. 2011 Nov;20(9):692-700. doi: 10.1016/j.seizure.2011.06.021. Epub 2011 Jul 22.
- Background: PubMed 21414839Wang Y, Xiang J, Vannest J, Holroyd T, Narmoneva D, Horn P, Liu Y, Rose D, deGrauw T, Holland S. Neuromagnetic measures of word processing in bilinguals and monolinguals. Clin Neurophysiol. 2011 Sep;122(9):1706-17. doi: 10.1016/j.clinph.2011.02.008. Epub 2011 Mar 16.
- Background: PubMed 20863661Korostenskaja M, Pardos M, Fujiwara H, Kujala T, Horn P, Rose D, Byars A, Brown D, Seo JH, Wang Y, Vannest J, Xiang J, Degrauw T, Naatanen R, Lee KH. Neuromagnetic evidence of impaired cortical auditory processing in pediatric intractable epilepsy. Epilepsy Res. 2010 Nov;92(1):63-73. doi: 10.1016/j.eplepsyres.2010.08.008. Epub 2010 Sep 21.
- Background: PubMed 20656430Meng L, Xiang J, Kotecha R, Rose D, Zhao H, Zhao D, Yang J, Degrauw T. White matter abnormalities in children and adolescents with temporal lobe epilepsy. Magn Reson Imaging. 2010 Nov;28(9):1290-8. doi: 10.1016/j.mri.2010.03.046. Epub 2010 Jul 24.
- Background: PubMed 20577795Huo X, Wang Y, Kotecha R, Kirtman EG, Fujiwara H, Hemasilpin N, Degrauw T, Rose DF, Xiang J. High gamma oscillations of sensorimotor cortex during unilateral movement in the developing brain: a MEG study. Brain Topogr. 2011 Jan;23(4):375-84. doi: 10.1007/s10548-010-0151-0. Epub 2010 Jun 25.
- Background: PubMed 20487034Wang X, Xiang J, Wang Y, Pardos M, Meng L, Huo X, Korostenskaja M, Powers SW, Kabbouche MA, Hershey AD. Identification of abnormal neuromagnetic signatures in the motor cortex of adolescent migraine. Headache. 2010 Jun;50(6):1005-16. doi: 10.1111/j.1526-4610.2010.01674.x. Epub 2010 May 7.
- Xiang Lab's website offers in-depth insights into both basic scientific research and its clinical applications.Link provided by the sponsor.
- The GitHub website offers extensive resources on software, methodologies, manuals, guides, and other information for analyzing signals across various frequency bands, ranging from low to high.Link provided by the sponsor.
- Individual participant dataSharing planned: Undecided
Related trials for Epilepsy
Not yet recruiting
Clinical Trial of SEEG for Drug-resistant Epilepsy
Drug-Resistant Epilepsy
RecruitingPhase 3
Investigate Efficacy and Safety of Carisbamate as Adjunctive Treatment for Seizures Associated With LGS in Children and Adults
Seizures, Lennox Gastaut Syndrome
RecruitingPhase 3
Study Evaluating the Efficacy and Safety of RAP-219 in Adult Participants With Focal Seizures
Focal Seizure, Epilepsy
Active, not recruitingObservational study
Transforming Research and Clinical Knowledge in Traumatic Brain Injury Epileptogenesis Project (TRACK-TBI EPI)
Traumatic Brain Injury, Post-traumatic Epilepsy
RecruitingPhase 3
Study Evaluating the Efficacy and Safety of RAP-219 in Adult Participants With Focal Seizures FOCUS-1
Focal Seizure, Epilepsy
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jing Xiang, Ph.D M.D. study director
Children's Hospital Medical Center, Cincinnati
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Epilepsy and Migraine, run by Children's Hospital Medical Center, Cincinnati at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: withdrawn, as of the sponsor's last update on 4 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study was withdrawn before enrolling participants, so there are no results.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
epileptic foci (time frame: one year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT00600717, which also lists 78 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Feb 2026.