46 citations · 177 across the 10 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…
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 `…
The Complex Hierarchical Topology of EEG Functional Connectivity
Keith Smith, Javier Escudero
Understanding the complex hierarchical topology of functional brain networks is a key aspect of functional connectivity research. Such topics are obscured by the widespread use of…