ReFiNe - investigating the rate of replicable MRI findings using large existing datasets

[jdkent]

Question	Answer
What is the proposed title of your emergent session?	ReFiNe - investigating the rate of replicable MRI findings using large existing datasets
Who are you and what is your affiliation?	Janik Goltermann, Charité-Universitätsmedizin Berlin, Germany
What is a good email address to contact you?	janik.goltermann@charite.de
Please provide a short description of the session and what you hope to achieve.	We will introduce the ReFiNe project - a large-scale series of direct replications conducted to investigate the replicability of MRI findings and its predictors. Feasibility of the ReFiNe replication framework has been shown for replicating structural voxel-wise MRI findings associated with depression, using 3 large datasets. We want to discuss how the existing ReFiNe framework can be extended to a more large-scale collaborative investigation. Expansions are planned regarding: 1) datasets/labs, 2) research domains (e.g., other mental health disorders), and 3) other MRI modalities. The developed replication framework will be outlined and we want to spark interest and invite the community to contribute to this project and to help us shape the strategy to promote it.
Please provide links to any relevant materials (e.g., website, repo, slides, papers, etc.)	ReFiNe website: https://rocknroll87q.github.io/ReFiNe/ ReFiNe-MDD preregistration: https://osf.io/52b4v/overview
Which time slots work for you? (Please select all that apply)	["June 17th (Wednesday), 9:30am-10:30am","June 18th (Thursday), 9:15am-10:15am","June 18th (Thursday), 11:15am-12:15pm","June 18th (Thursday), 12:30pm-1:30pm","June 18th (Thursday), 1:45pm-2:45pm"]
Recording and streaming volunteer (Name, email address)