14 citations · 22 across the 3 of their papers we have counts for
6 papers
Community-Aware Graph Signal Processing
Miljan Petrovic, Raphael Liegeois, Thomas A. W. Bolton +1
The emerging field of graph signal processing (GSP) allows to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generall…
TbCAPs: A ToolBox for Co-Activation Pattern Analysis
Thomas A. W. Bolton, Constantin Tuleasca, Gwladys Rey +7
Functional magnetic resonance imaging provides rich spatio-temporal data of human brain activity during task and rest. Many recent efforts have focussed on characterising dynamics…
Structural mediation of human brain activity revealed by white-matter interpolation of fMRI
Anjali Tarun, Hamid Behjat, David Abramian +1
Anatomy of the human brain constrains the formation of large-scale functional networks. Here, given measured brain activity in gray matter, we interpolate these functional signals…
Agito ergo sum: correlates of spatiotemporal motion characteristics during fMRI
Thomas A. W. Bolton, Daniela Zöller, César Caballero-Gaudes +3
The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-ofthe-art guidelines advise to…
Guided Graph Spectral Embedding: Application to the C. elegans Connectome
Miljan Petrović, Thomas A. W. Bolton, Maria Giulia Preti +2
Graph spectral analysis can yield meaningful embeddings of graphs by providing insight into distributed features not directly accessible in nodal domain. Recent efforts in graph si…
A Graph Signal Processing View on Functional Brain Imaging
Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia +3
Modern neuroimaging techniques provide us with unique views on brain structure and function; i.e., how the brain is wired, and where and when activity takes place. Data acquired us…