Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques

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Morgan & Claypool Publishers, 2008 - Medical - 93 pages
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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.Table of Contents: Introduction / Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling / Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods / Estimation of Cortical Activity by the use of Realistic Head Modeling / Application: Estimation of Connectivity from Movement-Related Potentials / Application to High-Resolution EEG Recordings in a Cognitive Task (Stroop Test) / Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient / The Instantaneous Estimation of the Time-Varying Cortical Connectivity by Adaptive Multivariate Estimators / Time-Varying Connectivity from Event-Related Potentials
 

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Contents

Estimation of the Effective Connectivity from Stationary Data by Structural Equation Modeling
1
12 SIMULATION STUDY
3
122 Parameter Estimation
4
123 Evaluation of Performances
7
131 Correct Formulation of the Connectivity Model
8
134 Missing Arc
12
Estimation of the Functional Connectivity from Stationary Data by Multivariate Autoregressive Methods
17
22 DIRECTED TRANSFER FUNCTION
18
Application Estimation of Connectivity from MovementRelated Potentials
43
421 Selection of Regions of Interest ROIs
44
423 Statistical Evaluation of Connectivity Measurements by SEM and DTF
46
424 Connectivity Pattern Representation
47
44 DISCUSSION
51
Application to HighResolution EEG Recordings in a Cognitive Task Stroop Test
55
53 RESULTS
56
54 DISCUSSION
57

23 PARTIAL DIRECTED COHERENCE
19
24 DIRECT DTF
20
251 Signal Generation
21
252 Evaluation of Performance
22
253 Statistical Analysis
23
26 RESULTS
24
27 DISCUSSION
26
Estimation of Cortical Activity by the use of Realistic Head Modeling
35
33 THE SEARCH FOR THE CORTICAL SOURCES
36
341 Regions of Interest ROI
37
35 DISTRIBUTED SOURCES ESTIMATE
38
351 Cortical Estimated Waveforms
39
Application to Data Related to the Intention of Limb Movements in Normal Subjects and in a Spinal Cord Injured Patient
63
63 CORTICAL CONNECTIVITY PATTERNS IN SPINAL CORD INJURY
65
64 CONCLUSION
66
The Instantaneous Estimation of the TimeVarying Cortical Connectivity by Adaptive Multivariate Estimators
69
72 THE SIMULATION STUDY
71
721 Statistical Analysis
74
74 DISCUSSION
79
TimeVarying Connectivity from EventRelated Potentials
83
83 RESULTS
84
84 DISCUSSION
89
Author Biography
93
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About the author (2008)

Fabio Babiloni is Associate Professor of Human Physiology at the Faculty of Medicine of the University of Rome "La Sapienza", Rome, Italy.

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