Thomas Bolton

Orcid: 0000-0002-2081-4031

Affiliations:
  • Swiss Federal Institute of Technology in Lausanne (EPFL), Institute of Bioengineering, Switzerland
  • University of Geneva, Department of Radiology and Medical Informatics, Switzerland


According to our database1, Thomas Bolton authored at least 23 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Robotically-induced hallucination triggers subtle changes in brain network transitions.
NeuroImage, 2022

2021
Dynamic functional brain networks underlying the temporal inertia of negative emotions.
NeuroImage, 2021

2020
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals.
IEEE Signal Process. Mag., 2020

Structural mediation of human brain activity revealed by white-matter interpolation of fMRI.
NeuroImage, 2020

First-person body view modulates the neural substrates of episodic memory and autonoetic consciousness: A functional connectivity study.
NeuroImage, 2020

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns.
NeuroImage, 2020

TbCAPs: A toolbox for co-activation pattern analysis.
NeuroImage, 2020

<i>Agito ergo sum</i>: Correlates of spatio-temporal motion characteristics during fMRI.
NeuroImage, 2020

Neural responses in autism during movie watching: Inter-individual response variability co-varies with symptomatology.
NeuroImage, 2020

Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression.
IEEE Trans. Medical Imaging, 2019

Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Time-frequency characterization of resting-state brain function reveals overlapping components with specific topology and frequency content.
Proceedings of the 2nd International Conference on Image and Graphics Processing, 2019

2018
Interactions Between Large-Scale Functional Brain Networks are Captured by Sparse Coupled HMMs.
IEEE Trans. Medical Imaging, 2018

A Graph Signal Processing Perspective on Functional Brain Imaging.
Proc. IEEE, 2018

Guided Graph Spectral Embedding: Application to the C. elegans Connectome.
CoRR, 2018

Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Graph Signal Processing of Human Brain Imaging Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
The dynamic functional connectome: State-of-the-art and perspectives.
NeuroImage, 2017

Dynamic reorganization of intrinsic functional networks in the mouse brain.
NeuroImage, 2017

Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Predicting individual scores from resting state fMRI using partial least squares regression.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016


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