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Misleading Neurobiological Interpretations due to Feature Selection

The reliance on feature selection in machine learning models for neuroimaging data leads to oversimplification and potentially misleading neurobiological interpretations. This practice overlooks the significance of discarded features, which may hold meaningful information about brain-behavior associations. As a result, the field faces issues with reproducibility and a narrow understanding of biological processes.

Science, Biology, Neuroscience