A brief exposure to rightward prismatic adaptation changes resting-state network characteristics of the ventral attentional system

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Modeling time-varying brain networks with a self-tuning optimized Kalman filter

Brain networks are complex dynamical systems in which directed interactions between different areas evolve at the sub-second scale of sensory, cognitive and motor processes. Due to the highly non-stationary nature of neural signals and their unknown noise ...

2020

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, Julian Gaviria

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

Brain networks and their relevance for stroke rehabilitation

Friedhelm Christoph Hummel, Philipp Johannes Koch

Stroke has long been regarded as focal disease with circumscribed damage leading to neurological deficits. However, advances in methods for assessing the human brain and in statistics have enabled new tools for the examination of the consequences of stroke ...

2019

An intracerebral exploration of functional connectivity during word production

Amandine Grappe

Language is mediated by pathways connecting distant brain regions that have diverse functional roles. For word production, the network includes a ventral pathway, connecting temporal and inferior frontal regions, and a dorsal pathway, connecting parietal a ...

2019

Graph Signal Processing Of Human Brain Imaging Data

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Modern neuroimaging techniques offer disctinct views on brain structure and function. Data acquired using these techniques can be analyzed in terms of its network structure to identify organizing principles at the systems level. Graph representations are f ...

IEEE2018

The dopaminergic VTA - basal amygdala projection contributes to signal aversive state in fear memory

Wei Tang

Dopamine released from midbrain neurons is an important neuromodulatory signal during associative learning in many forebrain circuits. One model of associative learning is auditory cued fear learning, during which an innocuous sensory percept like a tone ( ...

EPFL2018

Dorsal and ventral stream contributions to form-from-motion perception in a patient with form-from motion deficit: a case report

Olaf Blanke, Manuel Mercier

The main model of visual processing in primates proposes an anatomo-functional distinction between the dorsal stream, specialized in spatio-temporal information, and the ventral stream, processing essentially form information. However, these two pathways a ...

2017

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

Rodrigo de Campos Perin

The structure in cortical microcircuits deviates from what would be expected in a purely random network, which has been seen as evidence of clustering. To address this issue, we sought to reproduce the nonrandom features of cortical circuits by considering ...

Soc Neuroscience2017

Stress, glucocorticoid receptor and social behaviors

Peripuberty, comprising childhood and adolescence, constitutes an important time window in the brain development and maturation. Exposure to prolonged stress during this period has been shown to increase the risk for the development of psychopathologies la ...

EPFL2017

An affected core drives network integration deficits of the structural connectome in 22q11.2 deletion syndrome

Alessandra Griffa, Patric Hagmann, Marie Schaer, Frantisek Vasa

Chromosome 22q11.2 deletion syndrome (22q11DS) is a genetic disease known to lead to cerebral structural alterations, which we study using the framework of the macroscopic white-matter connectome. We create weighted connectomes of 44 patients with 22q11DS ...

Elsevier Sci Ltd2016

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