4 papers
Canonical Tail Dependence for Soft Extremal Clustering of Multichannel Brain Signals
Mara Sherlin Talento, Jordan Richards, Raphael Huser +1
We develop a novel characterization of extremal dependence between two cortical regions of the brain when its signals display extremely large amplitudes. We show that connectivity…
Nonlinear Coherence for Vector Time Series: Defining Region-to-Region Functional Brain Connectivity
Paolo Victor Redondo, Raphaël Huser, Hernando Ombao
Alterations in functional brain connectivity characterize neurodegenerative disorders such as Alzheimer's disease (AD) and frontotemporal dementia (FTD). As a non-invasive and cost…
Club Exco: clustering brain extreme communities from multi-channel EEG data
Matheus B. Guerrero, Paolo V. Redondo, Marco A. Pinto-Orellana +3
Current methods for clustering brain networks over time often rely on cross-dependence measures computed from the entire range of EEG signals, which can obscure information specifi…
Functional-Coefficient Models for Multivariate Time Series in Designed Experiments: with Applications to Brain Signals
Paolo Victor Redondo, Raphael Huser, Hernando Ombao
To study the neurophysiological basis of attention deficit hyperactivity disorder (ADHD), clinicians use electroencephalography (EEG) which record neuronal electrical activity on t…