Our goal is to study the human brain anatomical network. For this, the anatomical connection
probabilities (ACP) between 90 cortical and subcortical brain gray matter areas are …

We study the generation of EEG rhythms by means of realistically coupled neural mass
models. Previous neural mass models were used to model cortical voxels and the thalamus. …

Our goal is to model the coupling between neuronal activity, cerebral metabolic rates of
glucose and oxygen consumption, cerebral blood flow (CBF), electroencephalography (EEG) …

Generative models focused on multifactorial causal mechanisms in brain disorders are
scarce and generally based on limited data. Despite the biological importance of the multiple …

A biophysical model of the coupling between neuronal activity and the BOLD signal that
allows for explicitly evaluating the role of both excitatory and inhibitory activity is formulated in …

Here we demonstrate the suitability of a local mutual information measure for estimating the
temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. …

Multifactorial mechanisms underlying late-onset Alzheimer’s disease (LOAD) are poorly
characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-…

This article reviews progress and challenges in model driven EEG/fMRI fusion with a focus
on brain oscillations. Fusion is the combination of both imaging modalities based on a …

Misfolded proteins (MP) are a key component in aging and associated neurodegenerative
disorders. For example, misfolded Amyloid-ß (Aß) and tau proteins are two neuropathogenic …

Automatic algorithms for disease diagnosis are being thoroughly researched for use in
clinical settings. They usually rely on pre-identified biomarkers to highlight the existence of …