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Week 4
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event
ABCD: Imaging Measures
This lecture includes a description of ABCD experimental set-up and MRI vendors, imaging protocol and pulse sequences, quality assurance, fMRI tasks, data harmonization, and minimally processed pipelines.
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event
ReproNim: Pre-Registration and P-Hacking
This lecture includes a description of pre-registration, a reminder on the classical null hypothesis testing framework, common pitfalls and mis-interpretations of p-values, error inflation, and p-hacking in a machine learning framework.
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Damien Fair (he/him)
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JB Poline (he/him)
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YouTube Lecture | Slides
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YouTube Lecture | Slides
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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'
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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'
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Week 4 Data Exercise
Week 4 Solutions