Publication
Differential Impact of Brain Network Efficiency on Poststroke Motor and Attentional Deficits
Related publications (72)
Improving Functional Connectome Fingerprinting with Degree-Normalization
Background: Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional magnetic resonance imaging (fMRI) blood-oxygenation-level dependent time series. The netw ...
MARY ANN LIEBERT, INC2022Mapping of Structure-Function Age-Related Connectivity Changes on Cognition Using Multimodal MRI
Dimitri Nestor Alice Van De Ville, Maria Giulia Preti
The relationship between age-related changes in brain structural connectivity (SC) and functional connectivity (FC) with cognition is not well understood. Furthermore, it is not clear whether cognition is represented via a similar spatial pattern of FC and ...
FRONTIERS MEDIA SA2022Data-driven whole mouse brain modeling for multi-scale simulations
In this thesis, we present a data-driven iterative pipeline to generate, simulate and validate point-neuron models of the whole mouse brain. The ultimate goal is to replicate close loop experiments with a virtual body in a virtual world. This pipeline was ...
EPFL2022A multi-scale probabilistic atlas of the human connectome
Meritxell Bach Cuadra, Alessandra Griffa, Patric Hagmann, Maxime Descoteaux, Elena Najdenovska
The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-s ...
NATURE PORTFOLIO2022Through-Plane Super-Resolution With Autoencoders in Diffusion Magnetic Resonance Imaging of the Developing Human Brain
Meritxell Bach Cuadra, Erick Jorge Canales Rodriguez, Gabriel Girard, Hamza Kebiri
Fetal brain diffusion magnetic resonance images (MRI) are often acquired with a lower through-plane than in-plane resolution. This anisotropy is often overcome by classical upsampling methods such as linear or cubic interpolation. In this work, we employ a ...
FRONTIERS MEDIA SA2022Reconstruction of the Hippocampus
Henry Markram, Felix Schürmann, Armando Romani, Michele Migliore
The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture ...
Springer2022Fading of brain network fingerprint in Parkinson's disease predicts motor clinical impairment
Enrico Amico, Antonella Romano
The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics. It is an approach able to recognize individuals, based on the brain network. It showed its applicability providing network features used to predict the cog ...
WILEY2022The perspectives of mapping and monitoring of the sense of self in neurosurgical patients
Olaf Blanke, Bruno Herbelin, Hyeongdong Park, Sophie Jacqueline Andrée Betka, Pavo Orepic, Sixto Luis Alcoba Banqueri, Giannina Rita Iannotti
Surgical treatment of tumors, epileptic foci or of vascular origin, requires a detailed individual pre-surgical workup and intra-operative surveillance of brain functions to minimize the risk of post-surgical neurological deficits and decline of quality of ...
SPRINGER WIEN2021Predictive brain: Addressing the level of representation by reviewing perceptual hysteresis
In recent years, the idea that the prediction of sensory input is one of the major computational goals of the nervous system led to the development of several large-scale theories of brain functioning, such as different versions of the Bayesian approach to ...
ELSEVIER MASSON, CORP OFF2021The structural connectome and motor recovery after stroke: predicting natural recovery
Jean-Philippe Thiran, Friedhelm Christoph Hummel, Gabriel Girard, Takuya Morishita, Elena Beanato, Maximilian Jonas Wessel, Chang-Hyun Park, Philipp Johannes Koch, Philip Egger, Giorgia Giulia Evangelista
Stroke patients vary considerably in terms of outcomes: some patients present ‘natural’ recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge in stroke rehabilitation is to identify individual ...
2021