% 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{Dombert:825213,
author = {Dombert, Pascasie L. and Kuhns, Anna and Mengotti, Paola
and Fink, Gereon R. and Vossel, Simone},
title = {{F}unctional mechanisms of probabilistic inference in
feature- and space-based attentional systems},
journal = {NeuroImage},
volume = {142},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {FZJ-2016-07684},
pages = {553 - 564},
year = {2016},
abstract = {Humans flexibly attend to features or locations and these
processes are influenced by the probability of sensory
events. We combined computational modeling of response times
with fMRI to compare the functional correlates of
(re-)orienting, and the modulation by probabilistic
inference in spatial and feature-based attention systems.
Twenty-four volunteers performed two task versions with
spatial or color cues. Percentage of cue validity changed
unpredictably. A hierarchical Bayesian model was used to
derive trial-wise estimates of probability-dependent
attention, entering the fMRI analysis as parametric
regressors. Attentional orienting activated a dorsal
frontoparietal network in both tasks, without significant
parametric modulation. Spatially invalid trials activated a
bilateral frontoparietal network and the precuneus, while
invalid feature trials activated the left intraparietal
sulcus (IPS). Probability-dependent attention modulated
activity in the precuneus, left posterior IPS, middle
occipital gyrus, and right temporoparietal junction for
spatial attention, and in the left anterior IPS for
feature-based and spatial attention. These findings provide
novel insights into the generality and specificity of the
functional basis of attentional control. They suggest that
probabilistic inference can distinctively affect each
attentional subsystem, but that there is an overlap in the
left IPS, which responds to both spatial and feature-based
expectancy violations.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000387986000046},
pubmed = {pmid:27523448},
doi = {10.1016/j.neuroimage.2016.08.010},
url = {https://juser.fz-juelich.de/record/825213},
}