Clinical Applications of High-Frequency Oscillations
Reason given: No participants were enrolled to collected prospective data.
Key facts
- Where
- Cincinnati, United StatesSee the site
Where in United States
- MEGCincinnati, United StatesNo longer taking part
Trial details
- Who runs it
- Children's Hospital Medical Center, Cincinnati
- Trial code
- NCT00600717
- Record updated
- 4 February 2026
- Original description
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.Read full original descriptionShow less
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.
Inclusion: 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.
Exclusion: 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; 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.