Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults

C.J. Gölz, K. Mora, J.K. Stroehlein, F.K. Haase, M. Dellnitz, C. Reinsberger, S. Vieluf, Cognitive Neurodynamics 15 (2021) 847–859.

Download
No fulltext has been uploaded.
Journal Article | Published | English
Author
Gölz, Christian JohannesLibreCat ; Mora, Karin; Stroehlein, Julia Kristin; Haase, Franziska Katharina; Dellnitz, Michael; Reinsberger, Claus; Vieluf, Solveig
Abstract
<jats:title>Abstract</jats:title><jats:p>Cardiorespiratory fitness was found to influence age-related changes of resting state brain network organization. However, the influence on dedifferentiated involvement of wider and more unspecialized brain regions during task completion is barely understood. We analyzed EEG data recorded during rest and different tasks (sensory, motor, cognitive) with dynamic mode decomposition, which accounts for topological characteristics as well as temporal dynamics of brain networks. As a main feature the dominant spatio-temporal EEG pattern was extracted in multiple frequency bands per participant. To deduce a pattern’s stability, we calculated its proportion of total variance among all activation patterns over time for each task. By comparing fit (N = 15) and less fit older adults (N = 16) characterized by their performance on a 6-min walking test, we found signs of a lower task specificity of the obtained network features for the less fit compared to the fit group. This was indicated by fewer significant differences between tasks in the theta and high beta frequency band in the less fit group. Repeated measures ANOVA revealed that a significantly lower proportion of total variance can be explained by the main pattern in high beta frequency range for the less fit compared to the fit group [F(1,29) = 12.572, <jats:italic>p</jats:italic> = .001, partial η<jats:sup>2</jats:sup> = .300]. Our results indicate that the dedifferentiation in task-related brain activation is lower in fit compared to less fit older adults. Thus, our study supports the idea that cardiorespiratory fitness influences task-related brain network organization in different task domains.</jats:p>
Publishing Year
Journal Title
Cognitive Neurodynamics
Volume
15
Issue
5
Page
847-859
LibreCat-ID

Cite this

Gölz CJ, Mora K, Stroehlein JK, et al. Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. Cognitive Neurodynamics. 2021;15(5):847-859. doi:10.1007/s11571-020-09656-9
Gölz, C. J., Mora, K., Stroehlein, J. K., Haase, F. K., Dellnitz, M., Reinsberger, C., & Vieluf, S. (2021). Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. Cognitive Neurodynamics, 15(5), 847–859. https://doi.org/10.1007/s11571-020-09656-9
@article{Gölz_Mora_Stroehlein_Haase_Dellnitz_Reinsberger_Vieluf_2021, title={Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults}, volume={15}, DOI={10.1007/s11571-020-09656-9}, number={5}, journal={Cognitive Neurodynamics}, publisher={Springer Science and Business Media LLC}, author={Gölz, Christian Johannes and Mora, Karin and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}, year={2021}, pages={847–859} }
Gölz, Christian Johannes, Karin Mora, Julia Kristin Stroehlein, Franziska Katharina Haase, Michael Dellnitz, Claus Reinsberger, and Solveig Vieluf. “Electrophysiological Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.” Cognitive Neurodynamics 15, no. 5 (2021): 847–59. https://doi.org/10.1007/s11571-020-09656-9.
C. J. Gölz et al., “Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults,” Cognitive Neurodynamics, vol. 15, no. 5, pp. 847–859, 2021, doi: 10.1007/s11571-020-09656-9.
Gölz, Christian Johannes, et al. “Electrophysiological Signatures of Dedifferentiation Differ between Fit and Less Fit Older Adults.” Cognitive Neurodynamics, vol. 15, no. 5, Springer Science and Business Media LLC, 2021, pp. 847–59, doi:10.1007/s11571-020-09656-9.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar