Day 1: Monday, Jun 19
Type | Course (Presenter) | Resources |
---|---|---|
Lecture | Intro and Overview (David Van Essen) | PDF: https://wustl.box.com/s/cwcumeq2ggigalnjznaw0bs7x3nvx4yv |
Lecture | HCP Data Acquisition (Michael Harms) | PDF: https://wustl.box.com/s/d8l3ed24697zkfbin3e196kc94rxcnrr |
Practical | Introduction to wb_view (Jenn Elam) | PDF: https://wustl.box.com/s/50frhndpypnwywp0of9km13oyxaawi2k |
Lecture | Structural MRI: Precise Neuroanatomical Localization (Matt Glasser) | PDF: https://wustl.box.com/s/xhgja7gky9fd6rx70sxn45ntyftfagph |
Practical | Data Quality (Michael Harms) | Lecture PDF: https://wustl.box.com/s/poi0pym8i3rzodbzbxz469yd4bjetm74 Practical PDF: https://wustl.box.com/s/zs1cfsxqigsrtjkboksd7133vpi5dtvj |
Lecture | Group Brain Parcellation (Matt Glasser) | PDF: https://wustl.box.com/s/rpfm6a5sisbqg166z5wsoyfq31ic6hg6 |
Practical | Introduction to wb_command and Group Parcellation (Tim Coalson, Jenn Elam) | PDF: https://wustl.box.com/s/ti46uqqlukqnh4u97aw74r53r7p8xu3c |
Day 2: Tuesday, Jun 20
Type | Course (Presenter) | Time |
---|---|---|
Lecture | Multimodal Classification of Areas in Individuals and Parcellation Validation (Matt Glasser) | PDF: https://wustl.box.com/s/chaz76a0ppfmumv47jx5tj2goqpg93i9 |
Practical | Individual Brain Parcellation (Matt Glasser) | PDF: https://wustl.box.com/s/pbe2pdz54ba7jf2l2olr3d0fxx5o6slw |
Lecture | rfMRI Background, Preprocessing, Denoising (Steve Smith) | PDF: https://wustl.box.com/s/r7qm1ab1bctyawd2uvwwwt9pzvh3ttoo |
Lecture | rfMRI Temporal Noise (Matt Glasser) | PDF: https://wustl.box.com/s/ohxkqkgpcrrpuxu8a8fa18f9p102s0qr |
Practical | rfMRI Preprocessing, Denoising; ICA-based Parcellations (Steve Smith) | PDF: https://wustl.box.com/s/kns8ci5s53w4kjndbnqq6ohaha115w2t |
Lecture | rfMRI Network Analysis Strategies (Steve Smith) | PDF: https://wustl.box.com/s/4h2w3hgjdlpskwtyz5hfamonoim8o1ex |
Practical | rfMRI Netmats and Dual Regression (Steve Smith) | PDF: https://wustl.box.com/s/ca5mo34evo2c2f8x041az5qwpeugc385 |
Day 3: Wednesday, Jun 21
Type | Course (Presenter) | Time |
---|---|---|
Practical | HCP Pipelines Practical (Tim Brown) | Lecture PDF: https://wustl.box.com/s/s0dtkeg15zqzds4if34s56p17poas780 Practical PDF: https://wustl.box.com/s/xw5kgz7gefd5sesgugucqp3atzihemfv |
Lecture | Diffusion MRI, Distortion Correction and DTI (Jesper Andersson) | PDF: https://wustl.box.com/s/gj40lz6q2jdynjgj4gxg3yucomobhx5w |
Practical | Diffusion MRI, Distortion Correction and DTI Practical (Jesper Andersson) | PDF: https://wustl.box.com/s/5zoqwas78uv1l0whyekduk2st8j9cop0 |
Lecture | Fibre Orientation Models and Tractography Analysis (Matteo Bastiani) | PDF: https://wustl.box.com/s/onkohrfdkcs4b7stbxpww4pz6746xn8w |
Practical | Fibre Orientation Models and Tractography Analysis Practical (Matteo Bastiani) | PDF: https://wustl.box.com/s/rd4q23kigh11kdrj0ndj9jip1tjk7id6 |
Practical | Tractography and Tracer Connectivity (Chad Donahue) | PDF: https://wustl.box.com/s/2dxp2us6n5j30odfgkzlmec5eal0lzmb |
Day 4: Thursday, Jun 22
Type | Course (Presenter) | Time |
---|---|---|
Lecture | Regression, Prediction, and Permutation Analyses (Thomas Nichols) | PDF: https://wustl.box.com/s/afcsof3szemqhjhib63zr1o1mjkd6aqq |
Lecture | Family Structure and Heritability (Thomas Nichols) | PDF: https://wustl.box.com/s/jiqbk50gbrcqadsp07cpp0a7dgmw8sgx |
Lecture | Task fMRI and Behavioral Measure Analyses (Greg Burgess) | PDF: https://wustl.box.com/s/gxir8lvp0k10zyd38lxkibdvv62634sx |
Practical | tfMRI and PALM (Greg Burgess, Anderson Winkler) | PDF: https://wustl.box.com/s/lkdxqwj3qyrxgzsnzxfc685vns1msa9n |
Lecture | Lifespan HCP: Development and Aging (Susan Bookheimer) | PDF: https://wustl.box.com/s/rs0w1u80cji32y69aik1xqil4cm8oekp |
Lecture | Clinical Connectome: Application of HCP Methods to Neuropsychiatric Illness (Alan Anticevic) | PDF: https://wustl.box.com/s/xnctn4gkpx7a64m68yrmogazhk5eje28 |
Lecture | ConnectomeDB, Connectome Coordinating Facility, Amazon Web Services (Tim Brown) | |
Practical | Cloud-based Processing Using HCP Pipelines and Amazon Web Services (Tim Brown) | PDF: https://wustl.box.com/s/ebuxm8udvtsj2z5m6uuykwdo4ohiw6jh |
Day 5: Friday, Jun 23
Type | Course (Presenter) | Time |
---|---|---|
Lecture | Introduction to HCP-MEG Connectome (Linda Larson-Prior) | PDF: https://wustl.box.com/s/n1lzuzp5alr9tcsrftgah4g7uv4gyeih |
Practical | MEG Preprocessing, Channel and Source Analysis of tMEG and rMEG (Giorgios Michalareas) | PDF: https://wustl.box.com/s/m72sy2pk5e9h2javos4e9cius7mzp1sk |
Lecture | MEG Connectivity and Follow-up Analyses for HCP Data (Robert Oostenveld) | PDF: https://wustl.box.com/s/01gv2bgvgin5f2aikqu4gbep04u3kfty |
Practical | rMEG and tMEG Source-level Connectivity; Multimodal Integration (Giorgios Michalareas) | PDF: https://wustl.box.com/s/6qtuuf0w6c4n9i4p6h5v7trpyz9sk03z |
Practical | Building wb_view scenes and sharing on BALSA (Jenn Elam, Chad Donahue) | PDF: https://wustl.box.com/s/d7nwru8vzfza9cp2gvkccxacjmaenztp |
Lecture | HCP and Beyond: Looking Back and Forward (David Van Essen) | PDF: https://wustl.box.com/s/mcbx4j737ekg7j9udx3ohop4ioiws9t9 |
On This Page:
Co-sponsored by:
Learn about multimodal neuroimaging data, analysis, visualization, and sharing tools of the Human Connectome Project
We are pleased to announce the 2017 HCP Course: "Exploring the Human Connectome", to be held June 19 – 23, 2017 at the University of British Columbia, in Vancouver, BC, Canada. This is the week before the Organization of Human Brain Mapping (OHBM) annual meeting to be held in downtown Vancouver (about 8 miles away from UBC) June 25-29.
This course is designed for investigators who are interested in:
This 5-day intensive course will provide training in the acquisition, analysis and visualization of freely-available data from the Human Connectome Project using methods and informatics tools developed by the WU-Minn-Oxford HCP consortium. 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 graduate students, postdocs, faculty, 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 familiarity with FSL and Freesurfer software.
To get a sense of the material covered, check out the 2015 and 2016 course materials (lecture slide PDFs, practical instructions, software and practical datasets in a virtual machine) currently available for download. Each year the course is updated with the latest developments and analysis recommendations from HCP.
All lectures and printed material will be in English.
Registration (in US dollars) is $750 for PhD/MSc/undergrad students, $1250 for postdocs and other non-student attendees, and $2200 for commercial attendees.
Course registration includes lectures, computer practical sessions, a light continental breakfast and coffee/tea breaks each day, an evening kickoff reception, and a course book containing the lecture slides and practical instructions.
Spaces are limited, registration will remain open until all spaces are filled or June 12 at the latest.
The registration fee does not include accommodation (see below), or lunch and dinner; there are cafés and restaurants nearby on and just off the UBC campus.
To register and pay, visit the on-line registration page. Please note that we are only able to take payment by credit card. (Sorry about this.) Please note also that your registration is not complete until you have finalized the payment (entering form information and then proceeding to checkout and payment).
If you require an invitation letter as part of a travel visa application, please download this letter and fill in your contact information.
A limited number of UBC Faculty, Staff, and Students are eligible for a 25% discount from the HCP Course registration fee (provided as a refund for eligible registrants). To be eligible for this discount, UBC affiliates should use this UBC registration page.
The HCP Course lectures and practicals will be held in the Rudy North Lecture Theatre at the Djavad Mowafaghian Centre for Brain Health, our co-sponsor for this year’s course, on the University of British Columbia (UBC) campus, in Vancouver, BC, Canada. Here’s a map of the location.
Registrants are responsible for making their own accommodation arrangements. Organizing the course at UBC has allowed us to arrange a block of reasonably priced accommodation for all participants and staff in the Walter Gage residence hall, a short 5-10 minute walk from the Centre for Brain Health.
Most of the available rooms are Premium single private bedrooms in a 4 person shared apartment with shared washroom and shared lounge with TV. These will be offered for $52 CAD (~$40 USD) per night, plus applicable taxes. Linens, two towels, soap, and in room coffee are provided. Wired internet connection is provided, but you will need to bring your own Ethernet cable.
A limited number of Studio Suites (similar to a typical hotel room) with a double bed, private washroom, studio kitchen, and TV, will be offered for $139 CAD (~$105 USD) per night, plus applicable taxes. Linens are changed daily and in room coffee is provided.
Registrants are responsible for making their own reservations through UBC Conferences and Accommodation using the HCP Course room block website.
Note: May 17, 2017 is the cut off date to reserve UBC lodging under the HCP Course room block.
Speakers to include: David Van Essen, Matt Glasser, Michael Harms, Steve Smith, Tom Nichols, Anderson Winkler, Greg Burgess, Susan Bookheimer, Alan Anticevic, Jesper Andersson, Matteo Bastiani, Chad Donahue, Linda Larson-Prior and Robert Oostenveld.
Practical Tutors: (in addition to speakers): Jenn Elam, Tim Brown, Tim Coalson, and Giorgos Michalareas
Please register with care. We have made commitments on costs that cannot be changed the closer we approach to the course date. Here is our refund policy:
If you have any questions, please contact us at: hcpcourse@humanconnectome.org
We look forward to seeing you in Vancouver!
Make sure you have at least 1TB of free disk space. The downloaded archive must be opened within VM virtualizer software software (VMware Player, VMware Fusion, or VirtualBox) where you will run the VM. If your internal storage has more than 1TB of space free, this will generally be acceptably fast for the purpose.
If you are planning to buy a new external drive for this purpose, we recommend that you check the computer(s) you intend to use it with for USB 3, eSATA, or Thunderbolt ports, and get an external drive with whichever of those interfaces your computer(s) have. USB 2 will work, but at significantly reduced performance speed.
This download requires the Aspera plugin and a free ConnectomeDB account. We recommend using Firefox to download as Aspera is not well supported in Chrome.
Remember to change the settings in the Aspera Connect plugin (via the “gear” icon in the Transfers window or through Aspera Connect Menu>Preferences>Transfers) to download to your desired location. The default in Aspera Connect is to download to your desktop (which you probably don’t want).
Make sure you have at least 1TB of free disk space to download and extract the data.
If you are planning to buy a new external drive for this purpose, we recommend that use one compatible with USB 3, eSATA, or Thunderbolt connections. USB 2 will work, but at significantly reduced performance speed.
This download requires the Aspera plugin and a free ConnectomeDB account.
Remember to change the settings in the Aspera Connect plugin (via the “gear” icon in the Transfers window or through Aspera Connect Menu>Preferences>Transfers) to download to your desired location.
The paths provided throughout the HCP Course practical instructions, both for locating the software to run and for locating the data to process, will very likely not be correct for your particular configuration of software and data. You will be responsible for keeping track of these paths (where you installed the software and where you placed the data) and altering the commands provided in the course materials to reflect your chosen configuration.
Additionally, the MEG practicals for Day 5 use precompiled MATLAB scripts that will only work on Linux systems. If you don’t have a Linux machine and want to run the MEG practicals, we recommend downloading the Course VM as in Option 1.
Requisite for running the HCP Pipelines: FreeSurfer version 5.3.0-HCP.
See this installation guidance for using the prerequisite software in the HCP pipelines.