% 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{Langner:856121,
author = {Langner, Robert and Eickhoff, Simon and Bilalić, Merim},
title = {{A} network view on brain regions involved in experts’
object and pattern recognition: {I}mplications for the
neural mechanisms of skilled visual perception},
journal = {Brain and cognition},
volume = {131},
issn = {0278-2626},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2018-05765},
pages = {74-86},
year = {2019},
abstract = {Skilled visual object and pattern recognition form the
basis of many everyday behaviours. The game of chess has
often been used as a model case for studying how long-term
experience aides in perceiving objects and their
spatio-functional interrelations. Earlier research revealed
two brain regions, posterior middle temporal gyrus (pMTG)
and collateral sulcus (CoS), to be linked to chess experts'
superior object and pattern recognition, respectively. Here
we elucidated the brain networks these two expertise-related
regions are embedded in, employing resting-state functional
connectivity analysis and meta-analytic connectivity
modelling with the BrainMap database. pMTG was
preferentially connected with dorsal visual stream areas and
a parieto-prefrontal network for action planning, while CoS
was preferentially connected with posterior medial cortex
and hippocampus, linked to scene perception,
perspective-taking and navigation. Functional profiling
using BrainMap meta-data revealed that pMTG was linked to
semantic processing as well as inhibition and attention,
while CoS was linked to face and shape perception as well as
passive viewing. Our findings suggest that pMTG subserves
skilled object recognition by mediating the link between
object identity and object affordances, while CoS subserves
skilled pattern recognition by linking the position of
individual objects with typical spatio-functional layouts of
their environment stored in memory.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / SMHB -
Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017)},
pid = {G:(DE-HGF)POF3-571 / G:(DE-Juel1)HGF-SMHB-2013-2017},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30290974},
UT = {WOS:000462806500009},
doi = {10.1016/j.bandc.2018.09.007},
url = {https://juser.fz-juelich.de/record/856121},
}