Week 4

Jan 31 2022    
Week 4: Drs. Damien Fair and Jean-Baptiste Poline talk about ABCD imaging measures, pre-registration, and P-hacking.
Help and Resources: If you have questions about this week's material please post them to the ABCD-ReproNim Neurostars or the ABCD-ReproNim Slack.
Week 4 Assignments:
     Week 4 Data Exercise
     ABCD Data Access Confirmation (this assignment is optional and will be re-posted each week until April 1, 2022)

Announcements:

Note: The Q&A webcast for Week 4 includes a bonus presentation presentation and Q&A on ABCD Data Access (58:11) given by the NIMH Data Archive (NDA).

Week 4 Data Exercise: This week we ask that students complete a Data Exercise that asks questions about ABCD imaging measures and well as pre-registration and P-hacking. Please complete the Week 4 Data Exercise after viewing the Week 4 videos. Solutions for this week’s data exercise can be found on our GitHub

ABCD Data Access Confirmation: In order to access ABCD Study data you will need to obtain a Data Use Certification (DUC) from the NDA. We provide instructions on how to obtain ABCD data access to help with this process. Once you have an approved DUC please complete our ABCD Data Access Confirmation. Note that you do not need to have ABCD data access in order to take this course. This assignment is optional and does not count towards completion of the course. However, students who do not successfully complete this assignment will not be allowed to participate in Project Month.

ABCD Lecture: Imaging Measures

Lecture Slides PDF
Readings
     Casey et al.: 'The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites'
     Hagler et al.: 'Image processing and analysis methods for the Adolescent Brain Cognitive Development Study'
     Open access version of Hagler et al.

ReproNim Lecture: Pre-Registration and P-Hacking

Lecture Slides PDF
Readings
     Simmons et al.: 'False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant'
     Button et al.: 'Power failure: why small sample size undermines the reliability of neuroscience'
     Botvinik-Nezer et al.: 'Variability in the analysis of a single neuroimaging dataset by many teams'

Instructor Question and Answer Webcast Recording

Recorded in 2020. Note that course-related announcement made during this recording may be out of date. Please see the top of this page for 2022 Course announcements.

Week 4 Q&A Doc: Click here for written answers to the Q&A Doc.
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