Organized by:

Bharat Biswal
New Jersey Institute of Technology, NJ
Sheeba Arnold
Massachusetts Institute of Technology

Cloud Compute Services:

David Kennedy
University of Massachusetts Medical School / NITRC
(The underwriting of the actual compute costs is supported by a AWS in Educational Grant award)


This pre-conference Educational Workshop took take place at Walker Memorial at MIT on Tuesday September 9 and Wednesday September 10, 2014.



Target Audience




This two-day course aims to provide the background to state of the art resting state research. The format has been successfully developed as an educational workshop for researchers in conjunction with the Fourth Biennial Conference on Resting State / Brain Connectivity and for the second time we now offer this intensive pre-conference workshop for those aiming to maximize their individual outcome for the main conference.

Course participants will learn about the history and the most important critical limitations as well as current issues under debate, such as treatment of physiological and other nuisance signals. Next to practical training on how to perform functional connectivity or e.g. complex network analyses, we will focus on differentiating the pros and cons of individual analysis strategies and provide examples for their applications in clinical samples and in healthy populations. Given the special importance for current resting state investigations, we will deepen your understanding of networks and information obtained using multimodal neuroimaging approaches including MRS, EEG, DTI, fNIRS, and ECog.

The familial atmosphere, guaranteed by a restricted number of attendees of this educational workshop encourages participants to interact with leading experts to discuss general or specific problems they may have encountered in their own work.


Target Audience

The intended audience should be familiar with the basic concepts of functional MRI studies, including standard analysis strategies for task-based approaches. The course therefore is also suitable for PhD students and post-doctoral scientists in psychology, neuroscience or MR physics. A basic understanding of BOLD physiology, MR physics, and brain anatomy is expected. The course may also serve as preparation for in-depth discussions during the main conference.


(UPDATED ON AUG 12, 2014)


Day 1: Tuesday September 9, 2014
8:00 AM Resting State Signals: Introduction, Methods, and Limitations (Bharat Biswal, New Jersey Institute of Technology)
8:30 AM How to Design a Resting State Study: Imaging parameters, Cognitive and Physiological Consideration (Vesa Kiviniemi,University of Oulu, Finland)
9:00 AM Frequency-dependent Characteristics of Resting State Signals (YuFeng Zang, Hangzhou Normal University, China)
9:30 AM How to Minimize Confounding Effects of Head Motion (Koene Van Dijk, A.A. Martinos Center for Biomedical Imaging,Massachusetts General Hospital)
10:00 AM Coffee Break (Provide tunnel information to students)
10:15 AM Pre-processing Steps and Considerations (Christian Windischberger, Medical University of Vienna, Austria)
10:45 AM Independent Component Analysis (ICA) of Resting State Data (Lisa Nickerson, McLean Hospital, Harvard University)
11:15 AM Global Correlations: What You Don’t Know Will Hurt You (Ziad Saad, National Institute of Health)
11:45 AM Lunch Break
12:45 PM Single Subject Analysis: CONN Toolbox (Sheeba Arnold, A.A. Martinos Imaging Center, Massachusetts Institute of Technology)
1:15 PM Analysis: AFNI (Ziad Saad, National Institute of Health)
1:45 PM Single Subject Analysis: AFNI/ICA (Suril Gohel, New Jersey Institute of Technology)
2:15 PM Optimizing Resting State Data Processing Using Nipype (Satrajit Ghosh, Brain and Cognitive Sciences, Massachusetts Institute of Technology)
2:45 PM Analysis: Group ICA (Bharat Biswal, New Jersey Institute of Technology)
3:15 PM Coffee Break
3:30 PM Class to Divide into Small Groups for Hands on Sessions on AFNI/CONN/FSL/REST/SPM
4:00 PM Group Level Analysis and Practice Sessions with Instructors (Sheeba Arnold, Suril Gohel, Bharat Biswal, Satrajit Ghosh)
6:00 PM End of day1
Day 2: Wednesday September 10, 2014
8:00 AM Complex Network Analysis with Resting State fMRI (Yong He, Beijing Normal University)
8:30 AM Dynamic Connectivity (Catie Chang, National Institute of Health)
9:00 AM Granger Causality, DCM, PPI Analysis for Resting State Data (Xin Di, New Jersey Institute of Technology)
9:30 AM  A Pharmacologic MRI Study (Lisa Nickerson, McLean Hospital, Harvard University)
10:00 AM Coffee Break
10:15 AM EEG Analysis of Resting State Signals (Vesa Kiviniemi, University of Oulu, Finland)
10:45 AM ECog Analysis of Resting State Signals (Timothy Ellmore, City University of New York)
11:15 AM fNIRS Analysis of Resting State Signals (Blaise Frederick, Harvard Medical School)
11:45 AM Lunch break
12:45 PM Non-human Resting State Studies (Chris Pawela, Medical College of Wisconsin)
1:15 PM Macaque Connectivity (Matt Hutchison, Harvard University)
1:45 PM Metabolic Contribution of Resting State Connectivity (Martin Walter, Otto v. Guericke University, Magdeburg, Germany)
2:15 PM Multimodal Integration: Combining DTI and fcMRI (Ching-Po Lin, National Yang-Ming University, Taiwan)
2:45 PM Functional Connectivity and Depression Vulnerability: Seed based Correlation, ICA and Time-Frequency Dynamics (Lihong Wang, Duke University & Tsinghua University, China)
3:15 PM Timing is everything: Physiologic noise correction using PESTICA (Erik Beall, Cleveland Clinic)
3:45 PM Coffee Break
4:00 PM Group Level Analysis and Practice Sessions with Instructors (Sheeba Arnold, Suril Gohel, Bharat Biswal, Satrajit Ghosh)
6:00 PM End of Pre-conference Workshop