Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281649265> ?p ?o ?g. }
- W4281649265 endingPage "1734" @default.
- W4281649265 startingPage "1711" @default.
- W4281649265 abstract "Normative modeling is an emerging and innovative framework for mapping individual differences at the level of a single subject or observation in relation to a reference model. It involves charting centiles of variation across a population in terms of mappings between biology and behavior, which can then be used to make statistical inferences at the level of the individual. The fields of computational psychiatry and clinical neuroscience have been slow to transition away from patient versus 'healthy' control analytic approaches, probably owing to a lack of tools designed to properly model biological heterogeneity of mental disorders. Normative modeling provides a solution to address this issue and moves analysis away from case-control comparisons that rely on potentially noisy clinical labels. Here we define a standardized protocol to guide users through, from start to finish, normative modeling analysis using the Predictive Clinical Neuroscience toolkit (PCNtoolkit). We describe the input data selection process, provide intuition behind the various modeling choices and conclude by demonstrating several examples of downstream analyses that the normative model may facilitate, such as stratification of high-risk individuals, subtyping and behavioral predictive modeling. The protocol takes ~1-3 h to complete." @default.
- W4281649265 created "2022-06-13" @default.
- W4281649265 creator A5004304018 @default.
- W4281649265 creator A5020342918 @default.
- W4281649265 creator A5025943458 @default.
- W4281649265 creator A5030266901 @default.
- W4281649265 creator A5032648713 @default.
- W4281649265 creator A5036918069 @default.
- W4281649265 creator A5039918742 @default.
- W4281649265 creator A5054538140 @default.
- W4281649265 creator A5057492639 @default.
- W4281649265 creator A5061982826 @default.
- W4281649265 creator A5083226215 @default.
- W4281649265 creator A5084066480 @default.
- W4281649265 date "2022-06-01" @default.
- W4281649265 modified "2023-10-16" @default.
- W4281649265 title "The normative modeling framework for computational psychiatry" @default.
- W4281649265 cites W1449393047 @default.
- W4281649265 cites W1828334443 @default.
- W4281649265 cites W1888223872 @default.
- W4281649265 cites W1977465442 @default.
- W4281649265 cites W1979767955 @default.
- W4281649265 cites W2014157362 @default.
- W4281649265 cites W2016634887 @default.
- W4281649265 cites W2046557060 @default.
- W4281649265 cites W2107665951 @default.
- W4281649265 cites W2111902267 @default.
- W4281649265 cites W2115003883 @default.
- W4281649265 cites W2130081193 @default.
- W4281649265 cites W2154278233 @default.
- W4281649265 cites W2157272019 @default.
- W4281649265 cites W2158282570 @default.
- W4281649265 cites W2160736363 @default.
- W4281649265 cites W2162772535 @default.
- W4281649265 cites W2174056659 @default.
- W4281649265 cites W2212967118 @default.
- W4281649265 cites W2341441143 @default.
- W4281649265 cites W2429769619 @default.
- W4281649265 cites W2559155660 @default.
- W4281649265 cites W2587272693 @default.
- W4281649265 cites W2590328111 @default.
- W4281649265 cites W2599264051 @default.
- W4281649265 cites W2607804943 @default.
- W4281649265 cites W2737241688 @default.
- W4281649265 cites W2742214638 @default.
- W4281649265 cites W2748477535 @default.
- W4281649265 cites W2749294672 @default.
- W4281649265 cites W2766141193 @default.
- W4281649265 cites W2782149223 @default.
- W4281649265 cites W2789530810 @default.
- W4281649265 cites W2890996272 @default.
- W4281649265 cites W2896481393 @default.
- W4281649265 cites W2902182551 @default.
- W4281649265 cites W2912484553 @default.
- W4281649265 cites W2913746140 @default.
- W4281649265 cites W2920529430 @default.
- W4281649265 cites W2921949803 @default.
- W4281649265 cites W2947403116 @default.
- W4281649265 cites W2947752575 @default.
- W4281649265 cites W2950030754 @default.
- W4281649265 cites W2950086191 @default.
- W4281649265 cites W2950173089 @default.
- W4281649265 cites W2951248265 @default.
- W4281649265 cites W2952396505 @default.
- W4281649265 cites W2987682998 @default.
- W4281649265 cites W3005362496 @default.
- W4281649265 cites W3012009865 @default.
- W4281649265 cites W3015666767 @default.
- W4281649265 cites W3023265517 @default.
- W4281649265 cites W3024838586 @default.
- W4281649265 cites W3036199858 @default.
- W4281649265 cites W3038220767 @default.
- W4281649265 cites W3081397765 @default.
- W4281649265 cites W3084393603 @default.
- W4281649265 cites W3084695963 @default.
- W4281649265 cites W3088995957 @default.
- W4281649265 cites W3094325446 @default.
- W4281649265 cites W3095997436 @default.
- W4281649265 cites W3097486279 @default.
- W4281649265 cites W3115416320 @default.
- W4281649265 cites W3124603821 @default.
- W4281649265 cites W3127024923 @default.
- W4281649265 cites W3131396636 @default.
- W4281649265 cites W3132817300 @default.
- W4281649265 cites W3136402846 @default.
- W4281649265 cites W3156146497 @default.
- W4281649265 cites W3167049238 @default.
- W4281649265 cites W3168223311 @default.
- W4281649265 cites W3171095855 @default.
- W4281649265 cites W3212228145 @default.
- W4281649265 cites W4225246927 @default.
- W4281649265 cites W4245057219 @default.
- W4281649265 cites W4297916598 @default.
- W4281649265 cites W4298508188 @default.
- W4281649265 doi "https://doi.org/10.1038/s41596-022-00696-5" @default.
- W4281649265 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35650452" @default.
- W4281649265 hasPublicationYear "2022" @default.
- W4281649265 type Work @default.