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Presented By: Functional MRI Lab

Functional MRI 2020-21 Symposium Speaker

Age Differences in Functional Network Reconfiguration with Working Memory Training with Alex Iordan, Ph.D., Assistant Research Scientist, Department of Psychology, University of Michigan

Alex Iordan Alex Iordan
Alex Iordan
Abstract: Demanding cognitive functions like working memory (WM) depend on functional brain networks being able to communicate efficiently while also maintaining some degree of modularity. Evidence suggests that aging can disrupt this balance between integration and modularity. In this study, we examined how cognitive training affects the integration and modularity of functional networks in older and younger adults. 23 younger and 23 older adults participated in 10 days of verbal WM training, leading to performance gains in both age groups. Older adults exhibited lower modularity overall and a greater decrement when switching from rest to task, compared to younger adults. Interestingly, younger but not older adults showed increased task-related modularity with training. Furthermore, whereas training increased efficiency within, and decreased participation of, the default-mode network for younger adults, it enhanced efficiency within a task-specific salience/sensorimotor network for older adults. Finally, training increased segregation of the default-mode from fronto-parietal/salience and visual networks in younger adults, while it diffusely increased between-network connectivity in older adults. Thus, while younger adults increase network segregation with training, suggesting more automated processing, older adults persist in, and potentially amplify, a more integrated and costly global workspace, suggesting different age-related trajectories in functional network reorganization with WM training.

Register in advance for this meeting:
https://umich.zoom.us/meeting/register/tJUtf-CurzkoHdXHlCPN2gO3UetH2ba4M0wo

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