7 citations · 18 across the 11 of their papers we have counts for
5 papers · 1 filter
Accounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation
Keith Smith, Daniel Abasalo, Javier Escudero
Research into binary network analysis of brain function faces a methodological challenge in selecting an appropriate threshold to binarise edge weights. For EEG phase-based functio…
Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
Keith Smith, Benjamin Ricaud, Nauman Shahid +6
Visual short-term memory binding tasks are a promising early marker for Alzheimer's disease (AD). To uncover functional deficits of AD in these tasks it is meaningful to first stud…
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals
Hamed Azami, Mostafa Rostaghi, Daniel Abasolo +1
Multiscale entropy (MSE) is a widely-used tool to analyze biomedical signals. It was proposed to overcome the deficiencies of conventional entropy methods when quantifying the comp…
Comparison of Network Analysis Approaches on EEG Connectivity in Beta during Visual Short-Term Memory Binding Tasks
Keith Smith, Hamed Azami, Mario A. Parra +2
We analyse the electroencephalogram signals in the beta band of working memory representation recorded from young healthy volunteers performing several different Visual Short-Term…
Cluster-Span Threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis
Keith Smith, Hamed Azami, Mario A. Parra +2
We propose a new unbiased threshold for network analysis named the Cluster-Span Threshold (CST). This is based on the clustering coefficient, C, following logic that a balance of `…