Estimation of cortical connectivity in humans

Advanced signal processing techniques

Laura Astolfi, Fabio Babiloni

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

In the last ten years many different brain imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions. In every case, the biomedical engineers, together with mathematicians, physicists and physicians are called to elaborate the signals related to the brain activity in order to extract meaningful and robust information to correlate with the external behavior of the subjects. In such attempt, different signal processing tools used in telecommunications and other field of engineering or even social sciences have been adapted and re-used in the neuroscience field. The present book would like to offer a short presentation of several methods for the estimation of the cortical connectivity of the human brain. The methods here presented are relatively simply to implement, robust and can return valuable information about the causality of the activation of the different cortical areas in humans using non invasive electroencephalographic recordings. The knowledge of such signal processing tools will enrich the arsenal of the computational methods that a engineer or a mathematician could apply in the processing of brain signals.

Original languageEnglish
Title of host publicationSynthesis Lectures on Biomedical Engineering
Pages1-105
Number of pages105
Volume13
DOIs
Publication statusPublished - Jan 1 2007

Publication series

NameSynthesis Lectures on Biomedical Engineering
Volume13
ISSN (Print)19300328
ISSN (Electronic)19300336

Fingerprint

Brain
Signal processing
Telecommunications
Social Sciences
Arsenals
Engineers
Neurosciences
Neuroimaging
Causality
Social sciences
Computational methods
Telecommunication
Physicians
Equipment and Supplies
Chemical activation
Imaging techniques
Processing

Keywords

  • Cortical imaging
  • Directed Transfer Function (DTF)
  • High resolution EEG
  • Multivariate autoregressive model (MVAR)
  • Partial Directed Coherence (PDC)
  • Realistic head modeling

ASJC Scopus subject areas

  • Biochemistry
  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

Cite this

Astolfi, L., & Babiloni, F. (2007). Estimation of cortical connectivity in humans: Advanced signal processing techniques. In Synthesis Lectures on Biomedical Engineering (Vol. 13, pp. 1-105). (Synthesis Lectures on Biomedical Engineering; Vol. 13). https://doi.org/10.2200/S00094ED1V01Y200708BME013

Estimation of cortical connectivity in humans : Advanced signal processing techniques. / Astolfi, Laura; Babiloni, Fabio.

Synthesis Lectures on Biomedical Engineering. Vol. 13 2007. p. 1-105 (Synthesis Lectures on Biomedical Engineering; Vol. 13).

Research output: Chapter in Book/Report/Conference proceedingChapter

Astolfi, L & Babiloni, F 2007, Estimation of cortical connectivity in humans: Advanced signal processing techniques. in Synthesis Lectures on Biomedical Engineering. vol. 13, Synthesis Lectures on Biomedical Engineering, vol. 13, pp. 1-105. https://doi.org/10.2200/S00094ED1V01Y200708BME013
Astolfi L, Babiloni F. Estimation of cortical connectivity in humans: Advanced signal processing techniques. In Synthesis Lectures on Biomedical Engineering. Vol. 13. 2007. p. 1-105. (Synthesis Lectures on Biomedical Engineering). https://doi.org/10.2200/S00094ED1V01Y200708BME013
Astolfi, Laura ; Babiloni, Fabio. / Estimation of cortical connectivity in humans : Advanced signal processing techniques. Synthesis Lectures on Biomedical Engineering. Vol. 13 2007. pp. 1-105 (Synthesis Lectures on Biomedical Engineering).
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