Article

Feeding the machine: challenges to reproducible predictive modeling in resting-state connectomics

2021-02-10

Abstract excerpt

<p>In this critical review, we examine the current application of predictive models, e.g. classifiers, trained using ML to assist in interpretation of functional neuroimaging data. Our primary goal is to summarize how ML is being applied and critically assess the most common practices. Our review covers 250 studies published using ML and resting-state functional MRI (fMRI) to infer various dimensions of the human...

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Literature Corpus work: f20a013f-81a2-5bd0-af71-19c601c50864
DOI: 10.31234/osf.io/raqcn

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