% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{GENON:844157,
author = {GENON, Sarah and Reid, Andrew and Langner, Robert and
Amunts, Katrin and Eickhoff, Simon},
title = {{H}ow to {C}haracterize the {F}unction of a {B}rain
{R}egion},
journal = {Trends in cognitive sciences},
volume = {22},
number = {4},
issn = {1364-6613},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2018-01623},
pages = {350-364},
year = {2018},
abstract = {Many brain regions have been defined, but a comprehensive
formalization of each region's function in relation to human
behavior is still lacking. Current knowledge comes from
various fields, which have diverse conceptions of
'functions'. We briefly review these fields and outline how
the heterogeneity of associations could be harnessed to
disclose the computational function of any region.
Aggregating activation data from neuroimaging studies allows
us to characterize the functional engagement of a region
across a range of experimental conditions. Furthermore,
large-sample data can disclose covariation between brain
region features and ecological behavioral phenotyping.
Combining these two approaches opens a new perspective to
determine the behavioral associations of a brain region, and
hence its function and broader role within large-scale
functional networks.},
cin = {INM-7 / INM-1},
ddc = {150},
cid = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / HBP SGA1 -
Human Brain Project Specific Grant Agreement 1 (720270)},
pid = {G:(DE-HGF)POF3-571 / G:(EU-Grant)720270},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:29501326},
UT = {WOS:000428013800010},
doi = {10.1016/j.tics.2018.01.010},
url = {https://juser.fz-juelich.de/record/844157},
}