Clinical Applications of High-Frequency Oscillations

NCT00600717 | Withdrawn

• 2 other identifiers: IRB 2012-0866; 2018-81082008-1439
• Study Type: observational
• Target: N/A
• Locations: 1 country
• Sites: 1

Brief 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. 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.

Conditions

Epilepsy; Migraine; Headache; Pain; Autism; Cerebral Palsy; Brain Development; Traumatic Brain Injury; ADHD - Attention Deficit Disorder With Hyperactivity; Mental Health

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

Outcome Measures

Primary Outcomes (1)

• epileptic foci

  Accuracy of localization of epileptic foci

  one year

Study Arms (1)

Pediatric Patients and Healthy Children

Healthy children without dental works. Pediatric patients with epilepsy and migraine (headache).

Eligibility Criteria

• Age: 1 Day - 69 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

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.

You may qualify if:

• 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.

You may not qualify if:

• 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.
• Inability to pass the pre-experimental screening.

Sponsors & Collaborators

• Children's Hospital Medical Center, Cincinnati: lead
• University of Cincinnati: collaborator

Study Sites (1)

MEG

Cincinnati, Ohio, 45229, United States

Location

Related Publications (78)

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  PMID: 37190628 BACKGROUND

• Xiang J, Tong H, Jiang Y, Barnes-Davis ME. Spatial and Frequency Specific Artifact Reduction in Optically Pumped Magnetometer Recordings. J Integr Neurosci. 2022 Aug 16;21(5):145. doi: 10.31083/j.jin2105145.

  PMID: 36137963 BACKGROUND

• Chen D, Liu K, Guo J, Bi L, Xiang J. Editorial: Brain-computer interface and its applications. Front Neurorobot. 2023 Feb 9;17:1140508. doi: 10.3389/fnbot.2023.1140508. eCollection 2023. No abstract available.

  PMID: 36845071 BACKGROUND

• Zhang F, Han JH, Samy R, Xiang J. Editorial: Changes in the auditory brain following deafness, cochlear implantation, and auditory training, volume II. Front Hum Neurosci. 2023 Feb 6;17:1124304. doi: 10.3389/fnhum.2023.1124304. eCollection 2023. No abstract available.

  PMID: 36814434 BACKGROUND

• Guo J, Xiao N, Li H, He L, Li Q, Wu T, He X, Chen P, Chen D, Xiang J, Peng X. Transformer-Based High-Frequency Oscillation Signal Detection on Magnetoencephalography From Epileptic Patients. Front Mol Biosci. 2022 Mar 4;9:822810. doi: 10.3389/fmolb.2022.822810. eCollection 2022.

  PMID: 35309504 BACKGROUND

• Sun Y, Li Y, Sun J, Zhang K, Tang L, Wu C, Gao Y, Liu H, Huang S, Hu Z, Xiang J, Wang X. Functional reorganization of brain regions into a network in childhood absence epilepsy: A magnetoencephalography study. Epilepsy Behav. 2021 Sep;122:108117. doi: 10.1016/j.yebeh.2021.108117. Epub 2021 Jul 8.

  PMID: 34246893 BACKGROUND

• Sun K, Yu T, Yang D, Ren Z, Qiao L, Ni D, Wang X, Zhao Y, Chen X, Xiang J, Chen N, Gao R, Yang K, Lin Y, Kober T, Zhang G. Fluid and White Matter Suppression Imaging and Voxel-Based Morphometric Analysis in Conventional Magnetic Resonance Imaging-Negative Epilepsy. Front Neurol. 2021 Apr 29;12:651592. doi: 10.3389/fneur.2021.651592. eCollection 2021.

  PMID: 33995250 BACKGROUND

• Xiang J, Ishii R, Yang X. Editorial: High Frequency Brain Signals: From Basic Research to Clinical Application. Front Hum Neurosci. 2022 Mar 30;16:872478. doi: 10.3389/fnhum.2022.872478. eCollection 2022. No abstract available.

  PMID: 35431837 RESULT

Related Links

• Xiang Lab's website offers in-depth insights into both basic scientific research and its clinical applications.
• 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.

MeSH Terms

Conditions

Epilepsy; Migraine Disorders; Headache; Pain; Autistic Disorder; Cerebral Palsy; Brain Injuries, Traumatic; Attention Deficit Disorder with Hyperactivity; Psychological Well-Being

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Headache Disorders, Primary; Headache Disorders; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms; Autism Spectrum Disorder; Child Development Disorders, Pervasive; Neurodevelopmental Disorders; Mental Disorders; Brain Damage, Chronic; Brain Injuries; Craniocerebral Trauma; Trauma, Nervous System; Wounds and Injuries; Attention Deficit and Disruptive Behavior Disorders; Personal Satisfaction; Behavior

Study Officials

• Jing Xiang, Ph.D M.D.

  Children's Hospital Medical Center, Cincinnati

  STUDY DIRECTOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 14, 2007
• First Posted: January 25, 2008
• Study Start: November 1, 2000
• Primary Completion (Estimated): August 1, 2027
• Study Completion (Estimated): August 1, 2027
• Last Updated: February 4, 2026

Record last verified: 2026-02

Locations

US (1)