Brain connectivity measures: computation and comparison

• Published in: EPJ nonlinear biomedical physics Vol. 1; no. 1; pp. 1 - 25
• Main Authors: Jovanovic, Aleksandar, Perovic, Aleksandar, Borovcanin, Momcilo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2013; EDP Sciences
• Subjects: Complex Systems; Interdisciplinary Topics; Physics; Physics and Astronomy; Systems Biology; Brain connectivity patterns; Causality measures; Partial directed coherence; Direct transfer function; Connectivity measure comparisons
• ISSN: 2195-0008; 2195-0008
• DOI: 10.1140/epjnbp2

In this article computation and comparison of causality measures which are used in determination of brain connectivity patterns is investigated. Main analyzed examples included published computation and comparisons of Directed Transfer Function ‐ DTF and Partial Directed Coherence ‐ PDC. It proved that serious methodology mistakes were involved in measure computations and comparisons. It is shown that the neighborhood of zero is of accented importance in such evaluations and that the issues of semantic stability have to be treated with more attention. Published results on the relationship of these two important measures are partly unstable with small changes of zero threshold and pictures of involved brain structures deduced from the cited articles have to be corrected. Analysis of the operators involved in evaluation and comparisons is given with suggestions for their improvement and complementary additional actions.