Electrical source imaging of sleep spindles

Alessandra Del Felice, Chiara Arcaro, Silvia Francesca Storti, Antonio Fiaschi, Paolo Manganotti

Research output: Contribution to journalArticlepeer-review

Abstract

To identify and compare cortical source generators of slow and fast sleep spindles in healthy subjects, electroencephalographic (EEG) signals were obtained from 256 channels, and sources on neuroanatomical Montreal Neurological Institute (MNI) space estimated with low-resolution brain electromagnetic tomography analysis (LORETA). Spindle activity was recorded in 18 healthy volunteers during daytime napping. Because of lack of sleep or excessive artifacts, data from 13 subjects were analyzed off-line. Spindles were visually scored, marked, and bandpass filtered (slow 10-12 Hz or fast 12-14 Hz). EEG was segmented on the marker, and segments separately averaged. LORETA projected cortical sources on the MNI brain. Maximal intra- and inter-individual intensities were compared using the Wilcoxon test (P<.05) and cortical sources distribution compared using a X2 test. Two to three slow spindles generators were consistently identified in frontal lobes, with additional sources in parietal and limbic lobes in half cases. Fast spindles had multiple temporo-parietal sources, with an inconstant frontal source. Inter-individual (P = 0.44), and intra-individual (P = 0.09 slow and P = 0.10 fast spindles) source intensities were comparable. Slow spindles sources were preferentially concentrated over frontal cortices in comparison with fast spindles (P = 0.0009). Our results demonstrate multiple, synchronous, and equipotent spindles cortical generators in healthy subjects, with more anterior generators for slow spindles.

Original languageEnglish
Pages (from-to)184-192
Number of pages9
JournalClinical EEG and Neuroscience
Volume45
Issue number3
DOIs
Publication statusPublished - 2014

Keywords

  • Cortical generators
  • Electrical source imaging (ESI)
  • High-density EEG
  • Sleep
  • Slow/fast spindles

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Fingerprint

Dive into the research topics of 'Electrical source imaging of sleep spindles'. Together they form a unique fingerprint.

Cite this