Spatio-spectral analysis of brain signals

Hernando Ombao*, Xiaofeng Shao, Elena Rykhlevskaia, Monica Fabiani, Gabriele Gratton

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Numerous studies in neuroscience have demonstrated links between brain spectral activity and cognition, sleep, disease diagnosis and treatment outcomes. In this paper, we study the variation of spectral activity across the brain cortical surface. We rigorously develop the concept of a location-dependent temporal spectrum for a wide class of spatio-temporal processes. Under the proposed asymptotic framework, the location-dependent spectrum can be estimated consistently. A non-parametric smoothing method is proposed and, under regularity conditions, is shown to be asymptotically normal and mean-square consistent. The paper concludes with an analysis of an event-related optical signal (EROS) data recorded from a single subject during a spatial-verbal Stroop task.

Original languageEnglish (US)
Pages (from-to)1465-1482
Number of pages18
JournalStatistica Sinica
Volume18
Issue number4
StatePublished - Oct 2008
Externally publishedYes

Keywords

  • Event-related optical signal (EROS)
  • Kernel-smoothing
  • Spatio-temporal random process
  • Spectrum

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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