Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles
Sleep spindles are transient oscillatory waveforms that occur during non-rapid eye movement (NREM) sleep across widespread cortical areas. In humans, spindles can be classified as either slow or fast, but large individual differences in spindle frequency as well as methodological difficulties have h...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-09-01
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| Series: | Frontiers in Human Neuroscience |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00433/full |
| _version_ | 1811215346812583936 |
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| author | Roy Cox Roy Cox Anna C. Schapiro Anna C. Schapiro Dara S. Manoach Dara S. Manoach Dara S. Manoach Robert Stickgold Robert Stickgold |
| author_facet | Roy Cox Roy Cox Anna C. Schapiro Anna C. Schapiro Dara S. Manoach Dara S. Manoach Dara S. Manoach Robert Stickgold Robert Stickgold |
| author_sort | Roy Cox |
| collection | DOAJ |
| description | Sleep spindles are transient oscillatory waveforms that occur during non-rapid eye movement (NREM) sleep across widespread cortical areas. In humans, spindles can be classified as either slow or fast, but large individual differences in spindle frequency as well as methodological difficulties have hindered progress towards understanding their function. Using two nights of high-density electroencephalography recordings from 28 healthy individuals, we first characterize the individual variability of NREM spectra and demonstrate the difficulty of determining subject-specific spindle frequencies. We then introduce a novel spatial filtering approach that can reliably separate subject-specific spindle activity into slow and fast components that are stable across nights and across N2 and N3 sleep. We then proceed to provide detailed analyses of the topographical expression of individualized slow and fast spindle activity. Group-level analyses conform to known spatial properties of spindles, but also uncover novel differences between sleep stages and spindle classes. Moreover, subject-specific examinations reveal that individual topographies show considerable variability that is stable across nights. Finally, we demonstrate that topographical maps depend nontrivially on the spindle metric employed. In sum, our findings indicate that group-level approaches mask substantial individual variability of spindle dynamics, in both the spectral and spatial domains. We suggest that leveraging, rather than ignoring, such differences may prove useful to further our understanding of the physiology and functional role of sleep spindles. |
| first_indexed | 2024-04-12T06:21:10Z |
| format | Article |
| id | doaj.art-3325cd1745b144528fe45d1ccd3168fa |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-12T06:21:10Z |
| publishDate | 2017-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-3325cd1745b144528fe45d1ccd3168fa2022-12-22T03:44:19ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612017-09-011110.3389/fnhum.2017.00433283600Individual Differences in Frequency and Topography of Slow and Fast Sleep SpindlesRoy Cox0Roy Cox1Anna C. Schapiro2Anna C. Schapiro3Dara S. Manoach4Dara S. Manoach5Dara S. Manoach6Robert Stickgold7Robert Stickgold8Department of Psychiatry, Beth Israel Deaconess Medical CenterBoston, MA, United StatesDepartment of Psychiatry, Harvard Medical SchoolBoston, MA, United StatesDepartment of Psychiatry, Beth Israel Deaconess Medical CenterBoston, MA, United StatesDepartment of Psychiatry, Harvard Medical SchoolBoston, MA, United StatesDepartment of Psychiatry, Harvard Medical SchoolBoston, MA, United StatesDepartment of Psychiatry, Massachusetts General HospitalCharlestown, MA, United StatesAthinoula A. Martinos Center for Biomedical ImagingCharlestown, MA, United StatesDepartment of Psychiatry, Beth Israel Deaconess Medical CenterBoston, MA, United StatesDepartment of Psychiatry, Harvard Medical SchoolBoston, MA, United StatesSleep spindles are transient oscillatory waveforms that occur during non-rapid eye movement (NREM) sleep across widespread cortical areas. In humans, spindles can be classified as either slow or fast, but large individual differences in spindle frequency as well as methodological difficulties have hindered progress towards understanding their function. Using two nights of high-density electroencephalography recordings from 28 healthy individuals, we first characterize the individual variability of NREM spectra and demonstrate the difficulty of determining subject-specific spindle frequencies. We then introduce a novel spatial filtering approach that can reliably separate subject-specific spindle activity into slow and fast components that are stable across nights and across N2 and N3 sleep. We then proceed to provide detailed analyses of the topographical expression of individualized slow and fast spindle activity. Group-level analyses conform to known spatial properties of spindles, but also uncover novel differences between sleep stages and spindle classes. Moreover, subject-specific examinations reveal that individual topographies show considerable variability that is stable across nights. Finally, we demonstrate that topographical maps depend nontrivially on the spindle metric employed. In sum, our findings indicate that group-level approaches mask substantial individual variability of spindle dynamics, in both the spectral and spatial domains. We suggest that leveraging, rather than ignoring, such differences may prove useful to further our understanding of the physiology and functional role of sleep spindles.http://journal.frontiersin.org/article/10.3389/fnhum.2017.00433/fullsleep spindlesindividual differencesspatial filtergeneralized eigendecompositionEEG |
| spellingShingle | Roy Cox Roy Cox Anna C. Schapiro Anna C. Schapiro Dara S. Manoach Dara S. Manoach Dara S. Manoach Robert Stickgold Robert Stickgold Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles Frontiers in Human Neuroscience sleep spindles individual differences spatial filter generalized eigendecomposition EEG |
| title | Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles |
| title_full | Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles |
| title_fullStr | Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles |
| title_full_unstemmed | Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles |
| title_short | Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles |
| title_sort | individual differences in frequency and topography of slow and fast sleep spindles |
| topic | sleep spindles individual differences spatial filter generalized eigendecomposition EEG |
| url | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00433/full |
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