NeuroImaging Carpentry “Lunch & Learn” – Fall 2021 Edition

A collective of researchers from several Canadian universities and institutions has developed a series of Neuroimaging lessons under The Carpentries Incubator, meant to teach students fundamental skills that contribute to reproducible brain science. For five consecutive Fridays starting on the 22nd of October 2021, the lessons listed below will be will be taught live online.


Date and Time NeuroImaging Lesson Teachers
Friday, October 22, 11:00-13:30 EDT Introduction to working with MRI data and BIDS with Python Hannes Almgren, Amin Banihashemi
Friday, October 29, 11:00-13:30 EDT Structural neuro-imaging analysis in Python Kesavi Kanagasabai, Amin Banihashemi
Friday, November 5, 11:00-13:30 EDT dMRI analysis in Python Davide Momi, Bradley Karat
Friday, November 12, 11:00-15:30 EDT Resting-state analysis in Python Kesavi Kanagasabai, Ladan Shahshahani, Sheyas Harita
Friday, November 19, 11:00-13:30 EDT Working with EEG-BIDS in EEGLAB (Matlab) Davide Momi, Yu-Fang Yang

Some familiarity with Python is helpful for the first four lessons. Introductions to Python can be found in such lessons as Software Carpentry’s Plotting and Programming in Python and Programming with Python.

How to sign up

Please follow this link for additional details and to sign up for one or more of these upcoming lessons:

NeuroImaging Data Carpentry group

Erin Dickie (CAMH, University of Toronto)

Jerrold Jeyachandra (CAMH)

Michael Joseph (CAMH)

Jason Kai (Western University)

Ariel Rokem (eScience Institute / U of Washington)

Olivia Stanley (Western University)

Jon Haitz Legarreta (Université de Sherbrooke)

Nikhil Parag Bhagwat (McGill University)

P.J. Toussaint (McGill University)

Ben Selby (CAMH)

James Desjardins (Brock University)

Ted Strauss (McGill University)

Michael Dayan (Campus Biotech)

Sara Stephenson (Brock University)

Swapna Premasiri (McGill University)

Patrick Bermudez (McGill University)

Jean-Baptiste Poline (McGill University)