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• W4324019056 abstract "In this work, we expand the normative model repository introduced in Rutherford et al., 2022a to include normative models charting lifespan trajectories of structural surface area and brain functional connectivity, measured using two unique resting-state network atlases (Yeo-17 and Smith-10), and an updated online platform for transferring these models to new data sources. We showcase the value of these models with a head-to-head comparison between the features output by normative modeling and raw data features in several benchmarking tasks: mass univariate group difference testing (schizophrenia versus control), classification (schizophrenia versus control), and regression (predicting general cognitive ability). Across all benchmarks, we show the advantage of using normative modeling features, with the strongest statistically significant results demonstrated in the group difference testing and classification tasks. We intend for these accessible resources to facilitate the wider adoption of normative modeling across the neuroimaging community." @default.
• W4324019056 created "2023-03-14" @default.
• W4324019056 creator A5036918069 @default.
• W4324019056 creator A5054538140 @default.
• W4324019056 creator A5057492639 @default.
• W4324019056 creator A5060070824 @default.
• W4324019056 creator A5074631681 @default.
• W4324019056 creator A5084066480 @default.
• W4324019056 creator A5084484988 @default.
• W4324019056 date "2023-03-13" @default.
• W4324019056 modified "2023-10-14" @default.
• W4324019056 title "Evidence for embracing normative modeling" @default.
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