| Hauptseite > Publikationsdatenbank > The Aging Brain and Executive Functions Revisited: Implications from Meta-analytic and Functional Connectivity Evidence > print |
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| 100 | 1 | _ | |a Heckner, Marisa K. |0 P:(DE-Juel1)173770 |b 0 |e Corresponding author |
| 245 | _ | _ | |a The Aging Brain and Executive Functions Revisited: Implications from Meta-analytic and Functional Connectivity Evidence |
| 260 | _ | _ | |a Cambridge, Mass. |c 2021 |b MIT Pr. Journals |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Cieslik, Edna C. |0 P:(DE-Juel1)131855 |b 1 |e Corresponding author |
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| 700 | 1 | _ | |a Langner, Robert |0 P:(DE-Juel1)131693 |b 5 |
| 773 | _ | _ | |a 10.1162/jocn_a_01616 |g p. 1 - 36 |0 PERI:(DE-600)1475255-4 |n 9 |p 1716-1752 |t Journal of cognitive neuroscience |v 33 |y 2021 |x 0898-929X |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/884811/files/Invoice_5140.pdf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/884811/files/Heckner_JOCN_Manuscript_ALEFC20_PrivatePreprint.pdf |y Published on 2021-08-01. Available in OpenAccess from 2021-11-01. |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/884811/files/heckner%20jocn_a_01616.pdf |y Published on 2021-08-01. Available in OpenAccess from 2021-11-01. |
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