[HTML][HTML] Modularity maximization as a flexible and generic framework for brain network exploratory analysis
The modular structure of brain networks supports specialized information processing,
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …
From brain-body function to conscious interactions
In this review, we discuss empirical results inspiring the introduction of a formal
mathematical multilayer model for the biological neuroscience of conscious experience …
mathematical multilayer model for the biological neuroscience of conscious experience …
[HTML][HTML] A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
M Rostami, M Oussalah - Informatics in Medicine Unlocked, 2022 - Elsevier
Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
Relation of connectome topology to brain volume across 103 mammalian species
The brain connectome is an embedded network of anatomically interconnected brain
regions, and the study of its topological organization in mammals has become of paramount …
regions, and the study of its topological organization in mammals has become of paramount …
[HTML][HTML] Multi-modal and multi-subject modular organization of human brain networks
The human brain is a complex network of anatomically interconnected brain areas.
Spontaneous neural activity is constrained by this architecture, giving rise to patterns of …
Spontaneous neural activity is constrained by this architecture, giving rise to patterns of …
GCNs–FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization
W Li, H Wang, L Zhuang - Expert Systems With Applications, 2023 - Elsevier
There is growing evidence that an increasing number of people suffer from mental illness,
which seriously affects their quality of life. The study of electroencephalography (EEG) is …
which seriously affects their quality of life. The study of electroencephalography (EEG) is …
Community detection in brain connectomes with hybrid quantum computing
Recent advancements in network neuroscience are pointing in the direction of considering
the brain as a small-world system with an efficient integration-segregation balance that …
the brain as a small-world system with an efficient integration-segregation balance that …
Multilayer network changes in patients with migraine
Introduction To investigate changes in the multilayer network in patients with migraine
compared to healthy controls. Methods: This study enrolled 82 patients with newly …
compared to healthy controls. Methods: This study enrolled 82 patients with newly …
Involvement of the default mode network in patients with transient global amnesia: multilayer network
Introduction We aimed to investigate the alterations in the multilayer network in patients with
transient global amnesia (TGA). Methods We enrolled 124 patients with TGA and 80 healthy …
transient global amnesia (TGA). Methods We enrolled 124 patients with TGA and 80 healthy …
Multilayer network-based channel selection for motor imagery brain–computer interface
Objective. The number of electrode channels in a motor imagery-based brain–computer
interface (MI-BCI) system influences not only its decoding performance, but also its …
interface (MI-BCI) system influences not only its decoding performance, but also its …