New research shows that predictive models linking brain activity and behavior need to generalize across diverse datasets to be useful in clinical settings. By training models on varied brain imaging datasets, researchers found that effective models can still perform accurately when tested on different datasets with unique demographic and regional characteristics.
New research shows that predictive models linking brain activity and behavior need to generalize across diverse datasets to be useful in clinical settings. By training models on varied brain imaging datasets, researchers found that effective models can still perform accurately when tested on different datasets with unique demographic and regional characteristics.
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