Following the successful meetings in Magdeburg, Germany, and Milwaukee, Wisc., USA, the Fourth Biennial Conference on Resting State / Brain Connectivity is scheduled to take place at Massachusetts Institute of Technology (MIT) in Cambridge Mass., USA, on Sept. 11,12, and 13, 2014 (Thursday-Saturday).

The conference will be hosted by the McGovern Institute for Brain Research (MIT) and the Athinoula A. Martinos Center for Biomedical Imaging (Massachusetts General Hospital).

The organizing committee intends to bring together key researchers working on technical advances and methodological issues in imaging the brain’s functional connectome. In addition to the major topics of earlier years, the Fourth Biennial Conference on Resting State / Brain Connectivity will include sessions on multi-modal imaging approaches to measure brain structure as well as brain function and include human imaging methods and animal models. Approximately one third of the conference will be dedicated to applications of brain connectivity methods and models in neurological and psychiatric disease. There will also be a special session dedicated to emerging technologies.

The organizing committee invites all to attend and to submit abstracts (registration and abstract submission opens Febr 3, 2014) for interactive presentations during dedicated poster presentations.

Local Organizing Committee

Susan Whitfield-Gabrieli – Chair
Massachusetts Institute of Technology

Koene Van Dijk
Athinoula A. Martinos Center for Biomedical Imaging & Harvard University

Satrajit Ghosh
Massachusetts Institute of Technology

Anastasia Yendiki
Athinoula A. Martinos Center for Biomedical Imaging

Michael Fox
Harvard Medical School

International Organizing Committee

Bharat Biswal
New Jersey Institute of Technology, NJ

Mark Lowe
Cleveland Clinic, OH

Christopher Pawela
Medical College of Wisconsin, WI

Martin Walter
Otto v. Guericke University, Magdeburg, Germany

Conference Organization

MIT Conference Services

Stacey Ladieu
Athinoula A. Martinos Center for Biomedical Imaging