Scientists

Speakers

Sven Mueller

Speaker at

Approaches to increase replicability in neuroscience – lessons learned from consortia, many analysts and cooperative data collection 

10:00 - 11:30 16th October, 2022 

Sven Mueller

Ghent University, Belgium

Sven Mueller

Speaker at

Approaches to increase replicability in neuroscience – lessons learned from consortia, many analysts and cooperative data collection 

10:00 - 11:30 16th October, 2022 

Symposium Description

Recent studies have highlighted a replicability crisis in psychology and neuroscience. As a result, researchers have begun to explore ways in which reliability, replicability and reproducibility can be increased to rebuild trust and confidence in neuroscience research. The current symposium aims to present some of these ways. Specifically the presented talks will explore these issue in neuroscientific work (EEG, MRI) from various angles. These angles will include 1) increasing sample sizes through raw data sharing within a consortium, 2) probing the robustness against analytical choices, 3) collecting the same experiment simultaneously across many different labs with method sharing, and 4) replicating previously published studies. In the first talk, the invited speaker Sven Mueller will present data from a consortium that shares their neuroimaging data to achieve higher sample sizes. Here, data from a structural MRI study with 800 brain scans of Transgender Persons will be presented (#ENIGMA). In the second talk, Elena Cesnaite presents the robustness of analytical choices in EEG research from a new project that crowdsourced experts in the field all over the globe (#EEGManyPipelines). In the third talk, Katharina Paul will explore a collaboration oriented multilab effort in Germany to relate inter-individual differences in EEG markers to personality in the context (#CoScience). In the fourth talk, Anđela Šoškić will suggest how to increase transparency of neuroscientific research, a prerequisite for increasing replicability. Finally we would like to leave room for a student speaker, who could present their recent replication effort. 

Talk: "Increasing reliability in clinical neuroimaging: Mega-analytic findings from the ENIGMA Transgender Persons Working Group"

One common problem with clinical MRI research is that sample sizes of tested populations are small. This can be due to either a small prevalence rate or a difficulty to recruit a particular population. Individual neuroimaging studies of transgender persons have rarely achieved samples sizes of larger than 30 individuals (per group). To increase reliability of findings, the ENIGMA Transgender Persons Working Group, a consortium of presently 10 different labs around the world, was created. Here, the analysis of 800 structural brain scans of roughly 200 transgender men, 200 transgender women, 200 cisgender men and 200 cisgender women will be presented. Finally, in the last third of the talk I will touch briefly on a second way to increase reliability in neuroimaging, namely by rescanning the same participants within a session. Data from such a study also in transgender persons will be presented.

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