Title |
Magnetoencephalography Detection of High-Frequency Oscillations in the Developing Brain
|
---|---|
Published in |
Frontiers in Human Neuroscience, December 2014
|
DOI | 10.3389/fnhum.2014.00969 |
Pubmed ID | |
Authors |
Kimberly Leiken, Jing Xiang, Fawen Zhang, Jingping Shi, Lu Tang, Hongxing Liu, Xiaoshan Wang |
Abstract |
Increasing evidence from invasive intracranial recordings suggests that the matured brain generates both physiological and pathological high-frequency signals. The present study was designed to detect high-frequency brain signals in the developing brain using newly developed magnetoencephalography (MEG) methods. Twenty healthy children were studied with a high-sampling rate MEG system. Functional high-frequency brain signals were evoked by electrical stimulation applied to the index fingers. To determine if the high-frequency neuromagnetic signals are true brain responses in high-frequency range, we analyzed the MEG data using the conventional averaging as well as newly developed time-frequency analysis along with beamforming. The data of healthy children showed that very high-frequency brain signals (>1000 Hz) in the somatosensory cortex in the developing brain could be detected and localized using MEG. The amplitude of very high-frequency brain signals was significantly weaker than that of the low-frequency brain signals. Very high-frequency brain signals showed a much earlier latency than those of a low-frequency. Magnetic source imaging (MSI) revealed that a portion of the high-frequency signals was from the somatosensory cortex, another portion of the high-frequency signals was probably from the thalamus. Our results provide evidence that the developing brain generates high-frequency signals that can be detected with the non-invasive technique of MEG. MEG detection of high-frequency brain signals may open a new window for the study of developing brain function. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 44 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Student > Master | 7 | 16% |
Researcher | 6 | 13% |
Student > Bachelor | 4 | 9% |
Professor | 4 | 9% |
Other | 12 | 27% |
Unknown | 3 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 27% |
Engineering | 10 | 22% |
Neuroscience | 7 | 16% |
Agricultural and Biological Sciences | 3 | 7% |
Computer Science | 2 | 4% |
Other | 5 | 11% |
Unknown | 6 | 13% |