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Comment
. 2022 Jun;25(6):682-683.
doi: 10.1038/s41593-022-01058-w.

Piggybacking on big data

Janine Bijsterbosch  1
Affiliations
Comment

Piggybacking on big data

Janine Bijsterbosch. Nat Neurosci. 2022 Jun.

Abstract

The new ‘meta-matching’ algorithm developed by He et al in this issue of Nature Neuroscience enables small MRI datasets to piggyback on larger datasets to boost prediction accuracy. This innovation may aid efforts towards personalized psychiatry.

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Figures

Figure 1:
Figure 1:. How to use the trained meta-matching model 1.0 in existing and future small datasets.
The diagram illustrates example steps to apply the released meta-matching model 1.0 in a hypothetical small study of N=100.
See this image and copyright information in PMC

Comment on

References

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