Video Lectures#
The course is composed of six parts.
The first four lectures provide a general rationale and introduction to neuroimaging meta-analysis. Watch these at your leisure to understand why meta-analysis is important, and what different types of meta-analysis are, and the specific decisions you may have to make when formulating a meta-analysis.
The last two lectures accompany the subsequent tutorial, and provide an overview to the Neurosynth Compose platform and ecosystem, which we will walk through in detail in the tutorial
Theory#
I: Overview and motivation for meta-analysis#
II: Conventional vs Automated Neuroimaging Meta-Analysis#
III: Meta-analysis decision trees#
by Kendra Oudyk
IV: Pitfalls and reproducibility#
by J.B. Poline
Practicum#
Follow this along in detail in the tutorial
V: PRISMA and Study Annotations#
by James Kent
VI: Meta-Analysis Specification and Execution#
by Yifan Yu