Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

A comprehensive neural model of language must accommodate four components:
representations, operations, structures and encoding. Recent intracranial research has …

The complexity of brain activity reflects its ability to process information, adapt to
environmental changes, and transition between states. However, it remains unclear how …

Variability drives the organization and behavior of complex systems, including the human
brain. Understanding the variability of brain signals is thus necessary to broaden our …

Neural decoding aims to extract information from neurons' activities to reveal how the brain
functions. Due to the inherent spatial and temporal characteristics of brain signals, spatio …

Abstract Background & Aim Multiple sclerosis (MS) is an autoimmune disease of the central
nervous system associated with deficits in cognitive and motor functioning. While structural …

Growing evidence has unveiled the dynamic nature of human brain networks. However, the
dynamic and hierarchical organization that supports information transmission in brain …

Abstract Electro Encephalo Graphy (EEG) is a non-invasive diagnostic tool that is widely
used in the field of neurosurgery. The EEG measures the electrical activity of the brain …

Complexity and entropy play crucial roles in understanding dynamic systems across various
disciplines. Many intuitively perceive them as distinct measures and assume that they have …

Background Anti-NMDA receptor encephalitis (NMDARE) causes long-lasting cognitive
deficits associated with altered functional connectivity. Eigenvector centrality (EC) map** …