The natural environments in which infants and children learn speech and language are
noisy and multimodal. Adults rely on the multimodal nature of speech to compensate for …

We provide a short introduction to the field of topological data analysis (TDA) and discuss its
possible relevance for the study of complex systems. TDA provides a set of tools to …

The functional equivalence (FE) between imagery and perception or motion has been
proposed on the basis of neuroimaging evidence of large spatially overlap** activations …

Resting state functional magnetic resonance imaging (rfMRI) can be used to measure
functional connectivity and then identify brain networks and related brain disorders and …

fMRI is the preeminent method for collecting signals from the human brain in vivo, for using
these signals in the service of functional discovery, and relating these discoveries to …

Abstract Background Brain-computer interfaces (BCIs) are a promising tool for
communication with completely locked-in state (CLIS) patients. Despite the great efforts …

Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external
stimuli and is associated with altered brain activities during resting state. To understand the …

Attention-deficit hyperactivity disorder (ADHD) is a complex brain development disorder
characterized by hyperactivity/impulsivity and inattention. A major hypothesis of ADHD is a …

One of the paramount challenges in neuroscience is to understand the dynamics of
individual neurons and how they give rise to network dynamics when interconnected …

Neuroimaging has been used to examine developmental changes of the brain. While PET
studies revealed maturation-related changes, maturation of metabolic connectivity of the …