Publications by Thomas William Arthur Bolton

Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs)

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Farnaz Delavari, Nada Kojovic

The temporal variability of the thalamus in functional networks may provide valuable insights into the pathophysiology of schizophrenia. To address the complexity of the role of the thalamic nuclei in psychosis, we introduced micro-co-activation patterns ( ...

Wiley2024

Transient resting-state salience-limbic co-activation patterns in functional neurological disorders

Thomas William Arthur Bolton, Serafeim Loukas

Background: Functional neurological disorders were historically regarded as the manifestation of a dynamic brain lesion which might be linked to trauma or stress, although this association has not yet been directly tested yet. Analysing large-scale brain n ...

Elsevier Sci Ltd2024

Transient resting-state salience-limbic co-activation patterns in functional neurological disorders

Thomas William Arthur Bolton, Serafeim Loukas

Wiley2023

The arrow-of-time in neuroimaging time series identifies causal triggers of brain function

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois

Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping phy ...

Wiley2023

p Robotically-induced hallucination triggers subtle changes in brain network transitions

Dimitri Nestor Alice Van De Ville, Olaf Blanke, Thomas William Arthur Bolton, Herberto Dhanis Pedro De Barros Camacho, Nathan Quentin Faivre, Giulio Rognini, Eva Blondiaux

The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly advanc ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Dynamic functional brain networks underlying the temporal inertia of negative emotions

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Gwladys Rey, Julian Gaviria

Affective inertia represents the lasting impact of transient emotions at one time point on affective state at a subsequent time point. Here we describe the neural underpinnings of inertia following negative emotions elicited by sad events in movies. Using ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Dynamics of amygdala connectivity in bipolar disorders: a longitudinal study across mood states

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti, Gwladys Rey, Julian Gaviria

Alterations in activity and connectivity of brain circuits implicated in emotion processing and emotion regulation have been observed during resting-state for different clinical phases of bipolar disorders (BD), but longitudinal investigations across diffe ...

SPRINGERNATURE2021

Graph theory analysis of resting-state functional magnetic resonance imaging in essential tremor

Dimitri Nestor Alice Van De Ville, Constantin Tuleasca, Thomas William Arthur Bolton

Wiley2020

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Lorena Gonçalves de Alcântara e Freitas Krikler, Arwen Blanche Giraud

Investigating context-dependent modulations of Functional Connectivity (FC) with functional magnetic resonance imaging is crucial to reveal the neurological underpinnings of cognitive processing. Most current analysis methods hypothesise sustained FC withi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2020

Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Raphaël Pierre Liégeois, Miljan Petrovic

The emerging field of graph signal processing (GSP) allows one to transpose classical signal processing operations (e.g., filtering) to signals on graphs. The GSP framework is generally built upon the graph Laplacian, which plays a crucial role in studying ...

2020