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Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies

2021-12-15

Abstract excerpt

With the increasing availability of large-scale multimodal neuroimaging datasets, it is necessary to develop data fusion methods which can extract cross-modal features. A general framework, multidataset independent subspace analysis (MISA), has been developed to encompass multiple blind source separation approaches and identify linked cross-modal sources in multiple datasets. In this work we utilized the multimoda...

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Literature Corpus work
fd1bba8b-d887-5b8c-879c-8aa73b1731ac
DOI
10.1101/2021.12.13.472507
Open publication

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Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studiesDOI 10.1101/2021.12.13.472507
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