Journal Clubs and Focused Group Meetings

 

BANG!

BANG! (Brain Aging Neuroimaging Group) is a discussion-oriented seminar focusing on the development and application of neuroimaging methods to the study of age-related neurodegenerative changes. Bi-weekly meetings occur on Fridays in room 2.204 from 3:15-4:30pm. Sign up for the email list at: https://mail.nmr.mgh.harvard.edu/mailman/listinfo/bigbang

 

MEG Users Group

Topics of interest to investigators using or planning to use MEG in their research, including discussion of literature, works in progress, techniques, equipment updates, etc. Meets every Friday, 12:00-1:00pm. Location is announced via the MEGscan mailing list.

 

MGH Psychiatric Neuroimaging Seminars

This is a weekly series that provides a forum for active dissemination and discussion of recent findings in the psychiatric neuroimaging field. Most meetings feature presentations of original fMRI, DTI or PET research on the etiology, pathophysiology, and treatment of psychiatric and/or neurological illness. Journal club discussions are also featured on a monthly basis. Meetings are held on Mondays from 11-12 in CNY149-2622. The moderator of this group is Randy Gollub, MD, PhD. For more information or to be added to the schedule, please contact Randy Gollub. For access to the speaker schedule, or to be added to the mailing list, go to http://groups.yahoo.com/group/mghPNS/, click "Join this Group" and follow the instructions.

 

Why.N.How Tutorial Series

Each month, we organize two tutorials / workshops that shares a common theme: the first tutorial of the series aims to introduce WHY we use a particular tool in neuroimaging. We provide a bird's eye view of the application of this tool and we also discuss some of the fundamental theory and assumptions surrounding this tool that are relevant to our experimental designs and subsequent data interpretations. The second tutorial of the series focuses on HOW to turn the cranks of this tool. We review how to use the common features offered by this tool and working through example programs and data sets. Tutorial topics and materials can be found in our wiki page.

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