The WU-Minn Human Connectome Project (HCP) is a large-scale initiative aimed at mapping human brain circuits and their relationship to behavior in a population of 1200 healthy adults. The project involves collaboration between Washington University, the University of Minnesota, and Oxford University. The HCP uses advanced neuroimaging methods to systematically explore the human connectome, generating detailed maps of brain connectivity at high spatial resolution. The project includes a variety of imaging modalities, such as structural MRI, resting-state fMRI, task fMRI, and diffusion MRI, as well as behavioral and genetic data. The HCP is committed to making all data freely available to the scientific community, with data released quarterly through the ConnectomeDB database. The project has already released data from 68 subjects, including unprocessed and minimally preprocessed data, as well as group-average data for several modalities. The HCP has also developed advanced preprocessing pipelines and analysis methods to improve data quality and enable detailed studies of brain connectivity and function. The project has made significant progress in refining imaging protocols, improving data processing, and developing tools for data sharing and analysis. The HCP aims to provide valuable resources for understanding the relationship between brain connectivity, behavior, and genetics, and to enable large-scale studies of these relationships. The project has also made significant advances in the development of new imaging techniques and data analysis methods, including the use of 7T scanners and advanced preprocessing pipelines. The HCP is expected to provide a comprehensive and valuable resource for the neuroscience community in the coming years.The WU-Minn Human Connectome Project (HCP) is a large-scale initiative aimed at mapping human brain circuits and their relationship to behavior in a population of 1200 healthy adults. The project involves collaboration between Washington University, the University of Minnesota, and Oxford University. The HCP uses advanced neuroimaging methods to systematically explore the human connectome, generating detailed maps of brain connectivity at high spatial resolution. The project includes a variety of imaging modalities, such as structural MRI, resting-state fMRI, task fMRI, and diffusion MRI, as well as behavioral and genetic data. The HCP is committed to making all data freely available to the scientific community, with data released quarterly through the ConnectomeDB database. The project has already released data from 68 subjects, including unprocessed and minimally preprocessed data, as well as group-average data for several modalities. The HCP has also developed advanced preprocessing pipelines and analysis methods to improve data quality and enable detailed studies of brain connectivity and function. The project has made significant progress in refining imaging protocols, improving data processing, and developing tools for data sharing and analysis. The HCP aims to provide valuable resources for understanding the relationship between brain connectivity, behavior, and genetics, and to enable large-scale studies of these relationships. The project has also made significant advances in the development of new imaging techniques and data analysis methods, including the use of 7T scanners and advanced preprocessing pipelines. The HCP is expected to provide a comprehensive and valuable resource for the neuroscience community in the coming years.