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A baseline or control state is fundamental to the understanding of most complex systems. Defining a baseline state in the human brain, arguably our most complex system, poses a particular challenge. Many suspect that lef...

"Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing...

Epilepsy is a debilitating neurological disorder characterized by recurrent seizures, affecting millions of patients worldwide. Retrospective studies in temporal lobe epilepsy (TLE) patients have shown a high incidence o...

An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex th...

During performance of attention-demanding cognitive tasks, certain regions of the brain routinely increase activity, whereas others routinely decrease activity. In this study, we investigate the extent to which this task...

Materias / palabras clave: Modularity (biology); Complex network; Magnetoencephalography; Computer science; Cognitive science; Connectomics; Diffusion MRI; Graph theory; Human brain; Network science; Neuroscience; Neuroimaging

Thirty years of brain imaging research has converged to define the brain's default network-a novel and only recently appreciated brain system that participates in internal modes of cognition. Here we synthesize past obse...

Magnetic Resonance Imaging is one of the most important medical imaging techniques for the investigating diseases of the human brain. A novel method for automatic segmentation Magnetic resonance brain image framework is ...

(Versión disponible en RI ITBA: preprint en arXiv). Versión final publicada disponible via DOI. "Large-scale neural mass models have been widely used to simulate resting-state brain activity from structural connectiv...

This paper aims to bridge the gap between neurophysiology and automatic control methodologies by redefining the Wilson-Cowan (WC) model as a control-oriented linear parameter-varying (LPV) system. A novel approach is pre...

The prospect of modifying neural activity in a principled way, could facilitate the understanding of brain functions and the development of medical treatments. To predict the dynamics that underlie the different brain ac...

The GABAergic neurotransmission is a highly conserved system that has been attributed to various regulatory events. There has been a notable number of studies on the importance of GABAergic neurotransmission, both excita...