Statistical Analysis of Sleep Spindle Occurrences

Dagmara Panas, Urszula Malinowska, Tadeusz Piotrowski, Jaroslaw Zygierewicz, Piotr Suffczynski

Research output: Contribution to journalArticlepeer-review


Spindles - a hallmark of stage II sleep - are a transient oscillatory phenomenon in the EEG believed to reflect thalamocortical activity contributing to unresponsiveness during sleep. Currently spindles are often classified into two classes: fast spindles, with a frequency of around 14 Hz, occurring in the centro-parietal region; and slow spindles, with a frequency of around 12 Hz, prevalent in the frontal region. Here we aim to establish whether the spindle generation process also exhibits spatial heterogeneity. Electroencephalographic recordings from 20 subjects were automatically scanned to detect spindles and the time occurrences of spindles were used for statistical analysis. Gamma distribution parameters were fit to each inter-spindle interval distribution, and a modified Wald-Wolfowitz lag-1 correlation test was applied. Results indicate that not all spindles are generated by the same statistical process, but this dissociation is not spindle-type specific. Although this dissociation is not topographically specific, a single generator for all spindle types appears unlikely.

Original languageEnglish
Pages (from-to)e59318
JournalPLoS Neglected Tropical Diseases
Issue number4
Publication statusPublished - 1 Apr 2013


Dive into the research topics of 'Statistical Analysis of Sleep Spindle Occurrences'. Together they form a unique fingerprint.

Cite this