The Human Connectome Project: A data acquisition perspective

The Human Connectome Project: A data acquisition perspective

2012 | Essen, D.C. van; Ugurbil, K.; Auerbach, E.J.; Barch, D.; Behrens, T.E.J.; Bucholz, R.D.; Chang, A.; Chen, L.; Corbetta, M.; Curtiss, S.W.; Della Penna, S.; Feinberg, D.A.; Glasser, M.F.; Harel, N.; Heath, A.C.; Larson-Prior, L.J.; Marcus, D.; Michalareas, G.; Moeller, S.; Oostenveld, R.; Petersen, S.E.; Prior, F.; Schlaggar, B.L.; Smith, S.M.; Snyder, A.Z.; Xu, J.; Yacoub, E.
The Human Connectome Project (HCP) is a 5-year initiative to study brain connectivity and function in healthy adults, focusing on 1200 subjects, including twins and their non-twin siblings. The project aims to understand individual variability in brain circuits and its genetic bases. HCP employs multiple imaging modalities, such as diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), and combined magnetoencephalography and electroencephalography (MEG/EEG), along with behavioral and genetic data. To achieve high-quality data, HCP is refining data acquisition methods, including the use of advanced pulse sequences and new 3T and 7T MRI scanners. The project also emphasizes quality assurance and control to ensure data reliability over the three-year data collection period. The HCP's comprehensive approach aims to provide valuable insights into human brain connectivity and its variability, contributing to future studies on brain development, aging, and various neurological and psychiatric disorders.The Human Connectome Project (HCP) is a 5-year initiative to study brain connectivity and function in healthy adults, focusing on 1200 subjects, including twins and their non-twin siblings. The project aims to understand individual variability in brain circuits and its genetic bases. HCP employs multiple imaging modalities, such as diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), and combined magnetoencephalography and electroencephalography (MEG/EEG), along with behavioral and genetic data. To achieve high-quality data, HCP is refining data acquisition methods, including the use of advanced pulse sequences and new 3T and 7T MRI scanners. The project also emphasizes quality assurance and control to ensure data reliability over the three-year data collection period. The HCP's comprehensive approach aims to provide valuable insights into human brain connectivity and its variability, contributing to future studies on brain development, aging, and various neurological and psychiatric disorders.
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