Big data initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analysis consortium (ENIGMA), combine data collected by independent studies worldwide to achieve more generalizable estimates of effect sizes and more reliable and reproducible outcomes. Such efforts require harmonized image analyses protocols to extract phenotypes consistently. This harmonization is particularly challenging for resting state fMRI due to the wide variability of acquisition protocols and scanner plat...Expand abstract
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© 2017 The Authors. This is a conference paper presented at Pacific Symposium on Biocomputing (PSB) 2018, 3–7 January 2018 in Kohala Coast, Hawaii.
Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.
Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline
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