Aggregating voxel-level statistical dependencies between multivariate time series is an
important intermediate step when characterising functional connectivity (FC) between larger …

Epilepsy is now considered a network disease that affects the brain across multiple levels of
spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical …

Brain network provides an essential perspective for studying normal and pathological brain
activities. Reconstructing the brain network in the source space becomes more needed, for …

Background Deep brain stimulation (DBS) of the thalamus can effectively reduce tics in
severely affected patients with Tourette syndrome (TS). Its effect on cortical oscillatory …

A major concept in cognitive neuroscience is that brains are “prediction machines”. Yet,
conceptual frameworks on how perception and action become integrated still lack the …

Objective Electroencephalography (EEG) is widely used for assessing infant's brain activity,
and multi-channel recordings support studies on functional cortical networks. Here, we …

The European Quality In Preclinical Data (EQIPD) consortium was born from the fact that
publications report challenges with the robustness, rigor, and/or validity of research data …

Abstract Background and Objective: Alzheimer's disease (AD) is a neurological disorder that
impairs brain functions associated with cognition, memory, and behavior. Noninvasive …

Functional connectivity has attracted significant interest in the identification of specific
circuits underlying brain (dys-) function. Classical analyses to estimate functional …

The resting-state brain networks (RSNs) reflects the functional connectivity patterns between
brain modules, providing essential foundations for decoding intrinsic neural information …