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Publications associées (30)

Clinical connectome fingerprints of cognitive decline

Enrico Amico, Emahnuel Troisi Lopez

Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. Yet, it is still unclear whether connectivity fingerprints could be effectively used for mapping and predicting disease progression from human brain d ...

2021

Remodeling of brain morphology in temporal lobe epilepsy

Bogdan Draganski, Lester Melie Garcia

Background Mesial temporal lobe epilepsy (TLE) is one of the most widespread neurological network disorders. Computational anatomy MRI studies demonstrate a robust pattern of cortical volume loss. Most statistical analyses provide information about localiz ...

2020

Optogenetic Stimulation of Basal Forebrain Parvalbumin Neurons Activates the Default Mode Network and Associated Behaviors

Ralf Schneggenburger, Gregor Rainer, Michael Kintscher, Laura Lozano Montes, Jayakrishnan Harikrishnavilas Raveendran Nair

Activation of the basal forebrain (BF) has been associated with increased attention, arousal, and a heightened cortical representation of the external world. In addition, BF has been implicated in the regulation of the default mode network (DMN) and associ ...

2020

Structural mediation of human brain activity revealed by white-matter interpolation of fMRI

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Hamid Behjat, Anjali Bagunu Tarun

Understanding how the anatomy of the human brain constrains and influences the formation of large-scale functional networks remains a fundamental question in neuroscience. Here, given measured brain activity in gray matter, we interpolate these functional ...

2020

Resting-State Brain Activity for Early Prediction Outcome in Postanoxic Patients in a Coma with Indeterminate Clinical Prognosis

Dimitri Nestor Alice Van De Ville

The authors used resting-state fMRI in a prospective study to compare whole-brain functional connectivity between patients with good and poor outcomes, implementing support vector machine learning. They automatically predicted coma outcome using resting-st ...

AMER SOC NEURORADIOLOGY2020

Using connectivity-based real-time fMRI neurofeedback to modulate attentional and resting state networks in people with high trait anxiety

Elenor Morgenroth, Francesca Saviola

High levels of trait anxiety are associated with impaired attentional control, changes in brain activity during attentional control tasks and altered network resting state functional connectivity (RSFC). Specifically, dorsolateral prefrontal cortex to ante ...

2020

Default mode network and the timed up and go in MCI: A structural covariance analysis

Alessandra Griffa

Background: The timed up and go (TUG) is a test used to assess mobility in older adults and patients with neurological conditions. This study aims to compare brain gray matter (GM) correlates and structural covariance networks associated with the TUG time ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Hallucination Engineering: From Neuroscience Robotics to Hallucinations in Health and Disease

Eva Blondiaux

My thesis focuses on a psychotic symptom called the presence hallucination (PH). PHs are defined as the false perception that someone is nearby when no one is actually present. PHs can occur in various populations, ranging from healthy subjects (when expos ...

EPFL2020

Unraveling neural and behavioral mechanisms of cognitive self-attenuation and alienation

Giedre Stripeikyte

The present thesis aimed at investigating behavioral and neural underpinnings of the mechanisms related to the different aspects of self-monitoring. The first aim was to study functional connectivity alterations related to the mechanisms accounting for the ...

EPFL2020

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

Dimitri Nestor Alice Van De Ville, Olaf Blanke, Bruno Herbelin, Thomas William Arthur Bolton, Nathan Quentin Faivre, Baptiste Gauthier, Robin Mange, Florian Lance, Lucie Bréchet

Episodic memory (EM) is classically conceived as a memory for events, localized in space and time, and characterized by autonoetic consciousness (ANC) allowing to mentally travel back in time and subjectively relive an event. Building on recent evidence th ...

2020

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