Open AccessCover Image
Author(s) -
Rashid Barnaly,
Calhoun Vince
Publication year - 2020
Publication title -
human brain mapping
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.24663
Subject(s) - neuroimaging , modalities , modality (human–computer interaction) , cover (algebra) , multivariate statistics , artificial intelligence , computer science , psychology , neuroscience , pattern recognition (psychology) , machine learning , mechanical engineering , social science , sociology , engineering
COVER ILLUSTRATION A predictome refers to the use of multivariate brain network features from one or more neuroimaging modalities to help solve the puzzle of brain disorders. To build a predictome, one incorporates multiple brain network‐based features (either from the same modality or multiple modalities) into a predictive model to jointly estimate features that are unique to a disorder and are useful for individualized predictions.