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Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

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Publications associées (34)

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Methods to Enhance Nuclear Magnetic Resonance Sensitivity at High Magnetic Field

Claudia Christina Zanella

MR is a well-established technique routinely used in preclinical and clinical studies. This thesis focussed on the improvement of sensitivity of different methods in MR. Hyperpolarized 129Xe gas is used for studying pulmonary disease or cerebral perfusion ...

EPFL2021

TbCAPs: A toolbox for co-activation pattern analysis

Dimitri Nestor Alice Van De Ville, Constantin Tuleasca, Thomas William Arthur Bolton, Eva Blondiaux, Baptiste Gauthier, Farnaz Delavari, Elenor Morgenroth, Herberto Dhanis Pedro De Barros Camacho, Gwladys Rey

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 of brain activity. One notable instance is co-activation pattern (CAP) analy ...

2020

Fat navigators based retrospective motion correction strategies for brain magnetic resonance imaging

Frédéric Gretsch

Magnetic resonance resonance (MRI) is a widely used modality to obtain in vivo tissue information. Clinical applications are near countless, and almost all body parts can be examined using an MR scanner. As the method is non invasive, does not use ionizing ...

EPFL2020

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Dimitri Nestor Alice Van De Ville, Sandra Elisabete Monney, Olivier Benoit Thomas Reynaud, Domenica Bueti

Introduction Modern imaging techniques such as blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) allow the non-invasive and indirect measurement of brain activity. Whether changes in signal intensity can be detected in small ...

2020

GEFF: Graph embedding for functional fingerprinting

Enrico Amico

It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identification rate ...

2020

Dynamic distortion correction for functional MRI using FID navigators

Tobias Kober

Purpose To develop a method for slice-wise dynamic distortion correction for EPI using rapid spatiotemporal B(0)field measurements from FID navigators (FIDnavs) and to evaluate the efficacy of this new approach relative to an established data-driven techni ...

WILEY2021

Development and application of dynamic functional connectivity methods to elucidate the neural underpinnings of human behaviour with functional magnetic resonance imaging

Thomas William Arthur Bolton

Human behaviour is exquisitely complex, because it is staggeringly multi-facetted and subtly varies across individuals. Characterising its yet incompletely understood underlying biological mechanisms has profound clinical implications. Here, our goal was t ...

EPFL2020

Model-informed machine learning for multi-component T2 relaxometry

Jean-Philippe Thiran, Tobias Kober, Meritxell Bach Cuadra, Tom Hilbert, Erick Jorge Canales Rodriguez, Cristina Granziera, Muhamed Barakovic, Marco Pizzolato, Elda Fischi Gomez, Thomas Yu, Gian Franco Piredda

Recovering the distribution from multi-echo magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this work, we propose to comb ...

2020

3-Dimensional magnetic resonance imaging of the freely moving human eye

Josefina Adriana Maria Bastiaansen, Silvio Ionta, João Pedro Forjaco Jorge, Jérôme Yerly, Lorenzo Di Sopra

Eye motion is a major confound for magnetic resonance imaging (MRI) in neuroscience or ophthalmology. Currently, solutions toward eye stabilisation include participants fixating or administration of paralytics/anaesthetics. We developed a novel MRI protoco ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Brain functional connectivity dynamics at rest in the aftermath of affective and cognitive challenges

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

Carry-over effects on brain states have been reported following emotional and cognitive events, persisting even during subsequent rest. Here, we investigated such effects by identifying recurring co-activation patterns (CAPs) in neural networks at rest wit ...

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

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

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Tobias Kober, Meritxell Bach Cuadra, Cristina Granziera, Francesco La Rosa

Objectives In multiple sclerosis (MS), the presence of a paramagnetic rim at the edge of non-gadolinium-enhancing lesions indicates perilesional chronic inflammation. Patients featuring a higher paramagnetic rim lesion burden tend to have more aggressive d ...

2020

An Overview of Functional Magnetic Resonance Imaging Techniques for Organizational Research

Kerstin Preuschoff, Leyla Loued-Khenissi

Functional magnetic resonance imaging is a galvanizing tool for behavioral scientists. It provides a means by which to see what the brain does while a person thinks, acts, or perceives, without invasive procedures. In this, fMRI affords us a relatively eas ...

SAGE PUBLICATIONS INC2019

Metabolic and hemodynamic changes in the activated human brain and cerebellar organisation measured by MRS/MRl at 7 Tesla

Yohan Boillat

Although less often investigated than the positive blood-oxygen-level-dependent (BOLD) signal, a negative BOLD signal has also been observed under certain conditions, which could have a neuronal origin. To further investigate the negative BOLD signal from ...

EPFL2020