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We are pleased to announce the http://store.humanconnectome.org/courses/2018/exploring-the-human-connectome.php2019 HCP Course: "Exploring the Human Connectome" https://store.humanconnectome.org/courses/2019/exploring-the-human-connectome.php, to be held July 8 – 12, 2019 at the University Place Hotel and Conference Center https://www.uplacehotel.com/ at Portland State University in Portland, Oregon, USA. This 5-day intensive course will provide training in acquisition, processing, analysis and visualization of whole brain imaging and behavioral data using methods and tools developed by the WU-Minn-Oxford Human Connectome Project (HCP) consortium. FreeSurfer is a major part of the HCP structural processing pipeline, has been critical to the processing of the HCP Young Adult project's over 1100 released high quality imaging datasets, and continues to be used in the processing of forthcoming Lifespan HCP data. The course is designed for those interested in:
- using HCP-style data currently available from the young adult HCP and HCP Lifespan (Development and Aging) projects - acquiring and analyzing HCP-style imaging and behavioral data at your own institution - processing your own non-HCP data (including legacy data) using HCP pipelines and methods - using Connectome Workbench https://www.humanconnectome.org/software/connectome-workbench.html tools and sharing data using the BALSA https://balsa.wustl.edu/ imaging database - learning HCP multi-modal neuroimaging analysis methods, including those that combine MEG and MRI data - positioning yourself to capitalize on HCP-style data forthcoming from large-scale projects currently collecting data (e.g., Lifespan HCP development and aging longitudinal data and Connectomes Related to Human Disease projects) - learning how to obtain data from the NIMH Data Archive (NDA) and setup processing in an Amazon Web Services (AWS) environment
Participants will learn how to acquire, analyze, visualize, and interpret data from four major MR modalities (structural MR, resting-state fMRI, diffusion imaging, task-evoked fMRI) plus magnetoencephalography (MEG) and extensive behavioral data. Lectures and labs will provide grounding in neurobiological as well as methodological issues involved in interpreting multimodal data, and will span the range from single-voxel/vertex to brain network analysis approaches.
The course is open to students, postdocs, faculty, non-profit and industry participants. The course is aimed at both new and current users of HCP data, methods, and tools, and will cover both basic and advanced topics. Prior experience in human neuroimaging or in computational analysis of brain networks is desirable, preferably including some familiarity with FSL https://fsl.fmrib.ox.ac.uk/fsl/fslwiki and Freesurfer https://surfer.nmr.mgh.harvard.edu/ software.
For more info and to register visit the https://store.humanconnectome.org/courses/2017/exploring-the-human-connectome.phpHCP Course 2019 website http://store.humanconnectome.org/courses/2019%20%20%20%20%20%20%20%20%20/exploring-the-human-connectome.php . If you have any questions, please contact us at: hcpcourse@humanconnectome.org We look forward to seeing you in Portland!
Best, 2019 HCP Course Organizers
freesurfer@nmr.mgh.harvard.edu