Epilepsy is well-recognized as a disorder of brain networks. There is a growing body of
research to identify critical nodes within dynamic epileptic networks with the aim to target …

Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …

Deep learning has emerged as a powerful approach to constructing imaging signatures of
normal brain ageing as well as of various neuropathological processes associated with …

The most replicated result in the field of intelligence is the positive manifold, which refers to
an all-positive pattern of correlations among diverse cognitive tests. The positive manifold is …

We have developed workflows to align 3D magnetic resonance histology (MRH) of the
mouse brain with light sheet microscopy (LSM) and 3D delineations of the same specimen …

Diffusion MRI tractography has emerged as a useful and popular tool for mapping
connections between brain regions. In this study, we examined the performance of …

Numerous studies have examined the neuronal inputs and outputs of many areas within the
mammalian cerebral cortex, but how these areas are organized into neural networks that …

The nervous and immune systems have evolved in parallel from the early bilaterians, in
which innate immunity and a central nervous system (CNS) coexisted for the first time, to …

Purpose The accruing data linking the gut microbiome to the development and function of
the central nervous system has been proposed as a paradigm shift in neuroscience. The gut …

The human connectome is an intricate system of interconnected elements, providing the
basis for integrative brain function. An essential step in the macroscopic mapping and …