Neuroscience Challenges: Group Averages

Most of what we know from neuroscience studies today is based on data deriving from group averages. This can be a problem. Why?

#MRI #challenges #scicomm #sciart #scitoons #cartoons #thread

GroupAveragesAndSushi.jpg

  1. People are like sushi! Similar in some regards, different in others.
  2. Common group analyses are based on group averages that discount individual variability & have reduced predictive power
  3. Even within groups of people with shared characteristics, no 2 individuals are alike

Our new #scicomm poster tries to explain one of neuroscience big challenge of using group averages in easy/fun terms. Inputs/Feedback appreciated! #openscience #openscicomm #opencartoons

Do you want to know more? Recommended readings/Scientific references:

Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences, 201711978.

http://www.pnas.org/content/early/2018/06/15/1711978115

Foulkes, L., & Blakemore, S. J. (2018). Studying individual differences in human adolescent brain development. Nature neuroscience, 1.

https://www.nature.com/articles/s41593-018-0078-4

Insel, T. R. (2014). The NIMH research domain criteria (RDoC) project: precision medicine for psychiatry. American Journal of Psychiatry171(4), 395-397.

https://ajp.psychiatryonline.org/doi/full/10.1176/appi.ajp.2014.14020138

Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., … & Dosenbach, N.U.F. (2017). Precision functional mapping of individual human brains. Neuron95(4), 791-807.

https://www.sciencedirect.com/science/article/pii/S089662731730613X

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