Data generated by the HCP is of interest to a broad spectrum of the neuroscience community, including anatomists, neuroimagers, psychologists, cognitive neuroscientists, statistical geneticists, and biological network mo
Informatics is an increasingly important enabler of the scientific process. The overarching mission of the HCP informatics team is to develop, deploy, and share an informatics platform that maximizes the scientific
The Human Connectome Project will deliver brain connectivity data in unprecedented resolution and detail, across a large number of individual subjects. These data are represented in the form of networks that describe
The Human Connectome Project involves the acquisition of imaging data sets from multiple modalities (HARDI, R-fMRI, T-fMRI, MEG) across a large number of individuals. Integrating these multimodal data sets is criti
The primary goal of the Human Connectome Project is to understand the typical patterns of structural and functional connectivity in the healthy adult human brain. However, as we attempt to define "typical," we know that
The primary goal of the Human Connectome Project is to understand the typical patterns of structural and functional connectivity in the healthy adult human brain. However, as we attempt to define "typical," we know that
Study design: Our goal is to recruit large groups of directly-related sibling children (each group is called a "sibship"). Wherever possible, each sibship would include 4 or more brothers or sisters. Thus, ideally
An important objective of the Human Connectome Project is to understand the relationships among functionally distinct regions or parcels of the human brain. While anatomic relationships should remain relatively stable ov
Resting state MEG (R-MEG) extends and complements resting-state fMRI by providing high temporal resolution data for analyzing the neuromagnetic correlates of fMRI connectivity, its time-frequency content, and high tempor
MEG Data Released: High-quality data for 67 subjects has been released on ConnectomeDB. Learn more MEG (magnetoencephalography) and EEG (electroencephalography) are non-invasive electrophysiological te
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