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Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.

Christopher R Madan
Published in: Neuroinformatics (2021)
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.
Keyphrases
  • electronic health record
  • big data
  • high resolution
  • emergency department
  • machine learning
  • mental health
  • rna seq
  • magnetic resonance
  • data analysis
  • artificial intelligence
  • multiple sclerosis
  • adverse drug