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• W2951304328 abstract "Our objective was to assess the generalizability, across sites and cognitive contexts, of schizophrenia classification based on functional brain connectivity. We tested different training-test scenarios combining fMRI data from 191 schizophrenia patients and 191 matched healthy controls obtained at 6 scanning sites and under different task conditions. Diagnosis classification accuracy generalized well to a novel site and cognitive context provided data from multiple sites were used for classifier training. By contrast, lower classification accuracy was achieved when data from a single distinct site was used for training. These findings indicate that it is beneficial to use multisite data to train fMRI-based classifiers intended for large-scale use in the clinical realm." @default.
• W2951304328 created "2019-06-27" @default.
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• W2951304328 date "2018-02-01" @default.
• W2951304328 modified "2023-10-14" @default.
• W2951304328 title "Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity" @default.
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• W2951304328 doi "https://doi.org/10.1016/j.schres.2017.05.027" @default.
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