most citedAccounting for the Complex Hierarchical Topology of EEG Phase-Based Functional Connectivity in Network Binarisation

46 citations

5 papers

physics.geo-ph2020★ 22 cited

Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

Nick Brown, Anna Roubickova, Ioanna Lampaki +3

The oil and gas industry is awash with sub-surface data, which is used to characterize the rock and fluid properties beneath the seabed. This in turn drives commercial decision mak…

q-bio.NC2016★ 46 cited

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…

q-bio.NC2016★ 22 cited

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…

q-bio.NC2016★ 2 cited

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…

q-bio.NC2016★ 33 cited

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…