Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain

Madan, Christopher R

Abstract

We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use the data for secondary analyses. Here I provide an overview of available datasets and some example use cases. Example use cases include examining individual differences, more robust findings, reproducibility–both in public input data and availability as a replication sample, and methods development. I further discuss a variety of considerations associated with using existing data and the opportunities associated with large datasets. Suggestions for further readings on general neuroimaging and topic-specific discussions are also provided.

Citation

Madan, C. R. (2022). Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain. Neuroinformatics, 20, 109-137. https://doi.org/10.1007/s12021-021-09519-6

• Journal Article Type: Review
• Acceptance Date: Mar 7, 2021
• Online Publication Date: May 11, 2021
• Publication Date: 2022-01
• Deposit Date: Mar 8, 2021
• Publicly Available Date: May 12, 2022
• Journal: Neuroinformatics
• Print ISSN: 1539-2791
• Electronic ISSN: 1559-0089
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 20
• Pages: 109-137
• DOI: https://doi.org/10.1007/s12021-021-09519-6
• Keywords: brain imaging; secondary data; connectome; sample size; functional connectivity; fMRI; naturalistic neuroimaging
• Public URL: https://nottingham-repository.worktribe.com/output/4930368
• Publisher URL: https://link.springer.com/article/10.1007/s12021-021-09519-6