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Neuroimaging Meta-Analyses #42
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hello all, could you please provide the authors information in the following link by May 15th? |
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Authors
James Kent
james.kent@austin.utexas.edu
Yifan Yu
yifan.yu@keble.ox.ac.uk
Max Korbmacher
max.korbmacher@gmail.com
Bernd Taschler
bernd.taschler@ndm.ox.ac.uk
Lea Waller
lea.waller@charite.de
Kendra Oudyk
kendra.oudyk@mail.mcgill.ca
Summary
Introduction
Neuroimaging Meta-Analyses serve an important role in cognitive neuroscience (and beyond) to create consensus and generate new hypotheses. However, tools for neuroimaging meta-analyses only implement a small selection of analytical options, pigeon-holing researchers to particular analytical choices. Additionally, many niche tools are created and abandoned as the graduate student who was working on the project graduated and moved on. Neurosynth-Compose/NiMARE are part of a python ecosystem that provides a wide range of analytical options (with reasonable defaults), so that researchers can make analytical choices based on their research questions, not the tool.
To help improve and expand this ecosystem, we worked on several projects:
Results
Progress was made on all projects.
The improvements made to NiMARE and related tools provide more accessibility to neuroimaging meta-analyses making it easier to perform crucial analyses in our field.
References (Bibtex)
No response
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