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Magnetoencephalographic Characterization of Sleep Spindles in Humans

Shih, Jerry J.; Weisend, Michael P.*†; Davis, John T.; Huang, Mingxiong*

Journal of Clinical Neurophysiology: March 2000 - Volume 17 - Issue 2 - p 224-231
Original Article

Summary Sleep spindles in EEG recordings of adults are most prominent over the central and frontal midline regions. Early magnetoencephalographic recordings agreed with conventional EEG findings. However, more recent small-array magnetoencephalography and quantitative EEG studies suggest that the source areas for spindles are more widespread. We used a whole-head 122-channel biomagnetometer to characterize the sources of sleep spindles in four normal volunteers. Parallel interactive and automated multiple dipole spatiotemporal source modeling was conducted on the data sets of 10 spindles from each subject. Principal component analysis was used to estimate the number of sources in interactive source modeling, and singular value decomposition was used in automated dipole modeling. Spectral analysis of the epochs containing sleep spindles was performed. Principal component analysis and singular value decomposition suggested that all sleep spindles were made up of activity from multiple sources. Similarly, interactive and automated multiple dipole source modeling showed that three or more sources were present in 75% of spindle bursts. The sources for sleep spindles localized to all four cerebral lobes. Parietal and frontal lobes were the areas most frequently involved. Interactive source modeling resulted in more frequent temporal lobe than occipital dipole localizations; automated source modeling showed more frequent occipital than temporal sources. Spindle source localizations varied across subjects and across different spindles within subjects. Our results indicate that individual sleep spindles are generated by multiple cortical sources that are widespread within and across individuals.

Departments of Neurology, Neurosciences, and *Radiology, University of New Mexico School of Medicine, and †Center for Functional Brain Imaging, Department of Veterans Affairs Medical Center, Albuquerque, New Mexico; and ‡Radiology Department, University of Utah School of Medicine, Salt Lake City, Utah, U.S.A.

Supported by the National Institutes of Health (3 MO1 RR00997-20S3).

Address correspondence and reprint requests to Dr. Jerry J. Shih, Associate Professor, Department of Neurology, University of New Mexico School of Medicine, 915 Camino de Salud, N.E., Albuquerque, NM 87131-5281, U.S.A.

Copyright © 2000 American Clinical Neurophysiology Society