Results 21 to 30 of about 11,468 (258)
Granger-Causality Inference of the Existence of Unobserved Important Components in Network Analysis
Detecting causal interrelationships in multivariate systems, in terms of the Granger-causality concept, is of major interest for applications in many fields. Analyzing all the relevant components of a system is almost impossible, which contrasts with the
Heba Elsegai
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Unified asymptotic theory for all partial directed coherence forms [PDF]
This paper presents a unified mathematical derivation of the asymptotic behaviour of the three main forms of partial directed coherence (PDC). Numerical examples are used to contrast PDC, g PDC (generalized PDC) and i PDC (information PDC) as to meaning and applicability and, more importantly,
Baccalá, L. A. +3 more
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Time-variant partial directed coherence for analysing connectivity: a methodological study [PDF]
For the past decade, the detection and quantification of interactions within and between physiological networks has become a priority-in-common between the fields of biomedicine and computer science. Prominent examples are the interaction analysis of brain networks and of the cardiovascular–respiratory system. The aim of the study is to show how and to
L. Leistritz +6 more
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The assessment of effects associated with cognitive impairment using electroencephalography (EEG) power mapping allows the visualization of frequency-band specific local changes in oscillatory activity.
Lars Michels +11 more
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Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers
Economic objectification is a form of dehumanization in which workers are treated as tools for enhancing productivity. It can lead to self-objectification in the workplace, which is when people perceive themselves as instruments for work.
Irma N. Angulo-Sherman +4 more
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A nonparametric efficient evaluation of partial directed coherence [PDF]
Studying the flow of information between different areas of the brain can be performed by using the so-called Partial Directed Coherence. This measure is usually evaluated by first identifying a multivariate autoregressive model, and then by using Fourier transforms of the impulse responses identified and applying appropriate normalizations.
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Identification of Directed Interactions in Kinematic Data during Running
The knowledge of motion dynamics during running activity is crucial to enhance the development of rehabilitation techniques and injury prevention programs.
Giovana Y. Nakashima +6 more
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Estimation of partial directed coherence and direction of information flow with auditory evoked potentials [PDF]
In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer ...
Ozgoren, Murat +2 more
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AbstractThe human body transmits directional information between muscles during upper limb movements, and this will be particularly evident when the dominant muscle changes during movement transitions. By capturing the electromyography (EMG) signals of wrist flexion and extension continuous transition movements, we investigated the characteristics of ...
Yihao Du +7 more
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SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms
EEG signals are widely used to estimate brain circuits associated with specific tasks and cognitive processes. The testing of connectivity estimators is still an open issue because of the lack of a ground-truth in real data.
Alessandra Anzolin +4 more
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