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@ARTICLE{Heckner:884811,
author = {Heckner, Marisa K. and Cieslik, Edna C. and Eickhoff, Simon
B. and Camilleri, Julia and Hoffstaedter, Felix and Langner,
Robert},
title = {{T}he {A}ging {B}rain and {E}xecutive {F}unctions
{R}evisited: {I}mplications from {M}eta-analytic and
{F}unctional {C}onnectivity {E}vidence},
journal = {Journal of cognitive neuroscience},
volume = {33},
number = {9},
issn = {0898-929X},
address = {Cambridge, Mass.},
publisher = {MIT Pr. Journals},
reportid = {FZJ-2020-03268},
pages = {1716-1752},
year = {2021},
abstract = {Healthy aging is associated with changes in cognitive
performance, including executive functions (EFs) and their
associated brain activation patterns. However, it has
remained unclear which EF-related brain regions are affected
consistently, because the results of pertinent neuroimaging
studies and earlier meta-analyses vary considerably. We,
therefore, conducted new rigorous meta-analyses of published
age differences in EF-related brain activity. Out of a
larger set of regions associated with EFs, only the left
inferior frontal junction and the left anterior
cuneus/precuneus were found to show consistent age
differences. To further characterize these two age-sensitive
regions, we performed seed-based resting-state functional
connectivity (RS-FC) analyses using fMRI data from a large
adult sample with a wide age range. We also assessed
associations of the two regions' whole-brain RS-FC patterns
with age and EF performance. Although functional profiling
and RS-FC analyses point toward a domain-general role of the
left inferior frontal junction in EFs, the pattern of
individual study contributions to the meta-analytic results
suggests process-specific modulations by age. Our analyses
further indicate that the left anterior cuneus/precuneus is
recruited differently by older (compared with younger)
adults during EF tasks, potentially reflecting
inefficiencies in switching the attentional focus. Overall,
our findings question earlier meta-analytic results and
suggest a larger heterogeneity of age-related differences in
brain activity associated with EFs. Hence, they encourage
future research that pays greater attention to
replicability, investigates age-related differences in
deactivation, and focuses on more narrowly defined EF
subprocesses, combining multiple behavioral assessments with
multimodal imaging.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572) / 5252 -
Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF3-572 / G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32762523},
UT = {WOS:000684225300006},
doi = {10.1162/jocn_a_01616},
url = {https://juser.fz-juelich.de/record/884811},
}