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COMPUTATIONAL NEUROSCIENCE

Piggybacking on big data

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

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Fig. 1: How to use the trained meta-matching model 1.0 in existing and future small datasets.

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Correspondence to Janine Bijsterbosch.

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The author declares no competing interests.

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Bijsterbosch, J. Piggybacking on big data. Nat Neurosci 25, 682–683 (2022). https://doi.org/10.1038/s41593-022-01058-w

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