output
20162021
most citedConvolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

821 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing q-bio.NCShow all

8 papers · 1 filter

q-bio.NC2021★ 2 cited

Multiscale modeling of brain network organization

Charley Presigny, Fabrizio De Vico Fallani

A complete understanding of the brain requires an integrated description of the numerous scales of neural organization. It means studying the interplay of genes, synapses, and even…

q-bio.NC2020★ 2 cited

Improving J-divergence of brain connectivity states by graph Laplacian denoising

Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi +3

Functional connectivity (FC) can be represented as a network, and is frequently used to better understand the neural underpinnings of complex tasks such as motor imagery (MI) detec…

q-bio.NC2020

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Marie-Constance Corsi, Mario Chavez, Denis Schwartz +6

Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is diff…

q-bio.NC2019★ 8 cited

Temporal connection signatures of human brain networks after stroke

Catalina Obando, Charlotte Rosso, Joshua Siegel +2

Plasticity after stroke is a complex phenomenon initiated by the functional reorganization of the brain, especially in the perilesional tissue. At macroscales, the reestablishment…

q-bio.NC2018★ 44 cited

Network neuroscience for optimizing brain-computer interfaces

Fabrizio De Vico Fallani, Danielle S. Bassett

Human-machine interactions are being increasingly explored to create alternative ways of communication and to improve our daily life. Based on a classification of the user's intent…

q-bio.NC2017★ 3 cited

Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces

Marie-Constance Corsi, Mario Chavez, Denis Schwartz +4

We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification p…

q-bio.NC2017★ 111 cited

Loss of brain inter-frequency hubs in Alzheimer's disease

Jeremy Guillon, Yohan Attal, Olivier Colliot +5

Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists of connectivity changes between oscillatory processes at different frequenc…

q-bio.NC2016★ 124 cited

A topological criterion for filtering information in complex brain networks

Fabrizio De Vico Fallani, Vito Latora, Mario Chavez

In many biological systems, the network of interactions between the elements can only be inferred from experimental measurements. In neuroscience, non-invasive imaging tools are ex…