Age‐related differences in brain network activation and co‐activation during multiple object tracking. Issue 11 (7th September 2016)
- Record Type:
- Journal Article
- Title:
- Age‐related differences in brain network activation and co‐activation during multiple object tracking. Issue 11 (7th September 2016)
- Main Title:
- Age‐related differences in brain network activation and co‐activation during multiple object tracking
- Authors:
- Dørum, Erlend S.
Alnæs, Dag
Kaufmann, Tobias
Richard, Geneviève
Lund, Martina J.
Tønnesen, Siren
Sneve, Markus H.
Mathiesen, Nina C.
Rustan, Øyvind G.
Gjertsen, Øivind
Vatn, Sigurd
Fure, Brynjar
Andreassen, Ole A.
Nordvik, Jan Egil
Westlye, Lars T. - Abstract:
- Abstract: Introduction: Multiple object tracking (MOT) is a powerful paradigm for measuring sustained attention. Although previous fMRI studies have delineated the brain activation patterns associated with tracking and documented reduced tracking performance in aging, age‐related effects on brain activation during MOT have not been characterized. In particular, it is unclear if the task‐related activation of different brain networks is correlated, and also if this coordination between activations within brain networks shows differential effects of age. Methods: We obtained fMRI data during MOT at two load conditions from a group of younger ( n = 25, mean age = 24.4 ± 5.1 years) and older ( n = 21, mean age = 64.7 ± 7.4 years) healthy adults. Using a combination of voxel‐wise and independent component analysis, we investigated age‐related differences in the brain network activation. In order to explore to which degree activation of the various brain networks reflect unique and common mechanisms, we assessed the correlations between the brain networks' activations. Results: Behavioral performance revealed an age‐related reduction in MOT accuracy. Voxel and brain network level analyses converged on decreased load‐dependent activations of the dorsal attention network (DAN) and decreased load‐dependent deactivations of the default mode networks (DMN) in the old group. Lastly, we found stronger correlations in the task‐related activations within DAN and within DMN components forAbstract: Introduction: Multiple object tracking (MOT) is a powerful paradigm for measuring sustained attention. Although previous fMRI studies have delineated the brain activation patterns associated with tracking and documented reduced tracking performance in aging, age‐related effects on brain activation during MOT have not been characterized. In particular, it is unclear if the task‐related activation of different brain networks is correlated, and also if this coordination between activations within brain networks shows differential effects of age. Methods: We obtained fMRI data during MOT at two load conditions from a group of younger ( n = 25, mean age = 24.4 ± 5.1 years) and older ( n = 21, mean age = 64.7 ± 7.4 years) healthy adults. Using a combination of voxel‐wise and independent component analysis, we investigated age‐related differences in the brain network activation. In order to explore to which degree activation of the various brain networks reflect unique and common mechanisms, we assessed the correlations between the brain networks' activations. Results: Behavioral performance revealed an age‐related reduction in MOT accuracy. Voxel and brain network level analyses converged on decreased load‐dependent activations of the dorsal attention network (DAN) and decreased load‐dependent deactivations of the default mode networks (DMN) in the old group. Lastly, we found stronger correlations in the task‐related activations within DAN and within DMN components for younger adults, and stronger correlations between DAN and DMN components for older adults. Conclusion: Using MOT as means for measuring attentional performance, we have demonstrated an age‐related attentional decline. Network‐level analysis revealed age‐related alterations in network recruitment consisting of diminished activations of DAN and diminished deactivations of DMN in older relative to younger adults. We found stronger correlations within DMN and within DAN components for younger adults and stronger correlations between DAN and DMN components for older adults, indicating age‐related alterations in the coordinated network‐level activation during attentional processing. Abstract : In a study investigating age‐related differences in multiple object tracking, we have demonstrated decreased task‐related activations in the dorsal attention network (DAN) and decreased task‐related deactivations in the default mode network (DMN) for older adults. Correlation between brain network components revealed stronger correlations in task‐related activations within DMN components for younger adults and stronger correlations between task‐positive and DMN components for older adults, indicating age‐related alterations in the coordinated network‐level activation during attentional processing. … (more)
- Is Part Of:
- Brain and behavior. Volume 6:Issue 11(2016)
- Journal:
- Brain and behavior
- Issue:
- Volume 6:Issue 11(2016)
- Issue Display:
- Volume 6, Issue 11 (2016)
- Year:
- 2016
- Volume:
- 6
- Issue:
- 11
- Issue Sort Value:
- 2016-0006-0011-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2016-09-07
- Subjects:
- attention -- cognitive aging -- DAN -- default mode network -- DMN -- dorsal attention network -- MOT -- multiple object tracking
Neurology -- Periodicals
Neurosciences -- Periodicals
Psychology -- Periodicals
Psychiatry -- Periodicals
616.8005 - Journal URLs:
- http://bibpurl.oclc.org/web/52745 \u http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2157-9032 ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2157-9032 ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/1650 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/brb3.533 ↗
- Languages:
- English
- ISSNs:
- 2162-3279
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2360.xml