A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognitio...
A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies
About this item
Full title
Author / Creator
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
ABSTRACT
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 c...
Alternative Titles
Full title
A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11574741
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11574741
Other Identifiers
ISSN
1065-9471,1097-0193
E-ISSN
1097-0193
DOI
10.1002/hbm.70037