Wholebrain

Wholebrain is a term used in neuroscience and related fields to describe approaches, tools, and concepts that aim to study brain function and structure at the level of the entire brain. The idea is to integrate information across regions, scales, and data types.

In research, whole-brain strategies contrast with studies focused on single regions or circuits. They emphasize comprehensive mapping, network interactions, and system-level models. Researchers may use or develop techniques such as whole-brain imaging, large-scale data reconciliation, and computational modeling to capture global brain organization.

The term also appears as a project name or software toolkit in some laboratories, intended to support data integration, visualization, or analysis across multiple brain regions or modalities. Implementations vary, but typical goals include reconstructing networks, comparing species, and supporting reproducible workflows.

In educational or popular contexts, whole-brain or holistic approaches refer to methods that engage multiple cognitive domains and integrate emotion, attention, and memory, rather than focusing on isolated skills alone.

Related topics include systems neuroscience, connectomics, functional connectivity, and brain-wide data sharing initiatives.