Neuroimaging meta-analysis

Conventional vs. Automated Neuroimaging Meta-Analysis

Educational course lecture at the 29th annual meeting of the Organization for Human Brian Mapping in July 2023 • Montreal, British Columbia Canada

Gave a lecture on conventional (i.e., manual) and automated approaches to neuroimaging meta-analyses, including use cases, pros/cons, and examples of each. This lecture provided information, resources, and recommendations for researchers looking to use meta-analytic methods to assess convergence and/or discrepancies across the neuroimaging literature.

Recording

Data Mining in the Era of Big Data: The BrainMap Database as a Resource for Characterizing Brain Networks in Psychiatric Illness

Chapter in Brain Network Dysfunction in Neuropsychiatric Illness

Neuroimaging meta-analysis provides an exciting opportunity to evaluate consensus and generate new hypotheses using data mined from the published literature. This chapter provides a review of meta-analysis techniques available via the BrainMap Project, including activation likelihood estimation (ALE), independent component analysis (ICA), and clustering. Prior work emphasizing clinical utility of these meta-analytic methods are discussed.