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Introduction to Neuroimaging Analysis in Python

Registration is open for our first virtual 2-day workshop Intro to Neuroimaging Analysis in Python. This workshop is part of a series of Carpentries workshops that we will be hosting over the coming months. The Carpentries is an organization that teaches foundational computing skills to researchers.


This event is a virtual example-driven workshop over two half-days. Short tutorials alternate with hands-on practical exercises and participants are encouraged both to help one another and to try applying what they have learned to their own research problems during and between sessions. The workshop is designed for those that have some basic familiarity with  Python. 


Introductory topics include: reading NIfTI files with Python, data organization with BIDS,  Exploring Preprocessed fMRI Data from fMRIPREP,  Image Manipulation using Nilearn, Integrating Functional Data, Cleaning Confounders in your Data with Nilearn, Applying Parcellations to Resting State Data, and Functional Connectivity Analysis.


The workshop runs Tuesday October 5, 9:00AM-12:00PM ET and Wednesday October 6, 9:00AM-2:00PM ET


Seating is limited so please only register if you can commit to coming for the entire workshopl 


Set-up instructions and the Zoom link will be sent out prior to the workshop. Please write to Melanie Gainey (mgainey@andrew.cmu.edu) if you have any questions.

Tuesday, October 5, 2021
9:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Virtual Workshop
  Open Science     Working With Data  
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the workshop instructor.


Profile photo of Melanie Gainey
Melanie Gainey