Publication: Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke
Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke
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Mensen, A., Poryazova, R., Huber, R., & Bassetti, C. L. (2018). Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke. Scientific Reports, 8, 17885. https://doi.org/10.1038/s41598-018-36327-x
Abstract
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Sleep spindles are thalamocortical oscillations associated with several behavioural and clinical phenomena. In clinical populations, spindle activity has been shown to be reduced in schizophrenia, as well as after thalamic stroke. Automatic spindle detection algorithms present the only feasible way to systematically examine individual spindle characteristics. We took an established algorithm for spindle detection, and adapted it to high-density EEG sleep recordings. To illustrate the detection and analysis procedure, we examined how s
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- Mensen, A
- Poryazova, R
- Bassetti, C L
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Mensen, A., Poryazova, R., Huber, R., & Bassetti, C. L. (2018). Individual spindle detection and analysis in high-density recordings across the night and in thalamic stroke. Scientific Reports, 8, 17885. https://doi.org/10.1038/s41598-018-36327-x
