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 language | English |
|---|---|
| Title of host publication | Synthesis Lectures on Biomedical Engineering |
| Pages | 1-105 |
| Number of pages | 105 |
| Volume | 13 |
| DOIs | |
| Publication status | Published - Jan 1 2007 |
Publication series
| Name | Synthesis Lectures on Biomedical Engineering |
|---|---|
| Volume | 13 |
| ISSN (Print) | 19300328 |
| ISSN (Electronic) | 19300336 |
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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
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 proceeding › Chapter
}
TY - CHAP
T1 - Estimation of cortical connectivity in humans
T2 - Advanced signal processing techniques
AU - Astolfi, Laura
AU - Babiloni, Fabio
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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.
AB - 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.
KW - Cortical imaging
KW - Directed Transfer Function (DTF)
KW - High resolution EEG
KW - Multivariate autoregressive model (MVAR)
KW - Partial Directed Coherence (PDC)
KW - Realistic head modeling
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UR - http://www.scopus.com/inward/citedby.url?scp=37549052527&partnerID=8YFLogxK
U2 - 10.2200/S00094ED1V01Y200708BME013
DO - 10.2200/S00094ED1V01Y200708BME013
M3 - Chapter
AN - SCOPUS:37549052527
SN - 1598295330
SN - 9781598295337
VL - 13
T3 - Synthesis Lectures on Biomedical Engineering
SP - 1
EP - 105
BT - Synthesis Lectures on Biomedical Engineering
ER -