Open AccessCover Image
Author(s) -
MonteRubio Gemma,
Segura Barbara,
Strafella Antonio,
Eimeren Thilo,
IbarretxeBilbao Naroa,
DiezCirarda Maria,
Eggers Carsten,
LucasJiménez Olaia,
Ojeda Natalia,
Peña Javier,
Ruppert Marina C.,
SalaLlonch Roser,
Theis Hendrik,
Uribe Carme,
Junque Carme
Publication year - 2022
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.25503
Subject(s) - harmonization , cover (algebra) , encode , neuroimaging , implementation , computer science , artificial intelligence , psychology , neuroscience , engineering , biology , software engineering , mechanical engineering , biochemistry , physics , acoustics , gene
COVER ILLUSTRATION Larger cohorts of multi‐site MRI data are crucial for neuroimaging research. Harmonization strategies become necessary. The WHARMPA method is user‐friendly and provides a powerful solution to clean the analyses by removing variability associated with the differences between sites. These Weighted HARMonization PArameters encode global site effects quantitatively without complex implementations.