The brain consists of neuronal elements, wirings that connect the elements to form
functional modules, and systems to support the working environment. The connectome
refers to the brain’s complete set of these elements and the connections. The Human
Connectome Project (HCP) aims to decipher the complex connectome of the human brain,
primarily using magnetic resonance imaging (MRI) modalities, including structural,
diffusion, and functional MRI. To map the elements and the connections accurately,
the HCP began with optimization and standardization of the data acquisition and analysis
methods. Based on the cutting-edge hardware and methods developed, neuroimaging and
neurocognitive data from 1200 young adults have been collected. The database is open
to public to facilitate neuroscientific and data science research. The HCP has already
made major scientific contributions, including parcellation of the brain into 360
neurobiologically and functionally meaningful areas. The HCP is now expanding in multiple
directions, including the adoption of a longitudinal design to investigate changes
in the connectome during development and aging, the study of the genetic linkage between
connectomic traits and mental disorders, and studies of the connectomic features of
diseases. The HCP has made impacts on neurology. The HCP scan protocol is currently
one of the gold standards for clinical studies that target neurological diseases.
The concept of the connectome is now widely accepted and increasing evidence indicates
that alterations in the connectome are promising markers for brain diseases. One future
direction is to apply the HCP-derived methods and findings to clinical practice, after
rigorous validation steps.
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