Age differences in functional network reconfiguration with working memory training

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dc.contributor.authorIordan, Alexandru D.en
dc.contributor.authorMoored, Kyle D.en
dc.contributor.authorKatz, Benjaminen
dc.contributor.authorCooke, Katherine A.en
dc.contributor.authorBuschkuehl, Martinen
dc.contributor.authorJaeggi, Susanne M.en
dc.contributor.authorPolk, Thad A.en
dc.contributor.authorPeltier, Scott J.en
dc.contributor.authorJonides, Johnen
dc.contributor.authorReuter-Lorenz, Patricia A.en
dc.contributor.departmentHuman Development and Family Scienceen
dc.date.accessioned2021-05-21T15:00:53Zen
dc.date.available2021-05-21T15:00:53Zen
dc.date.issued2021-04-15en
dc.description.abstractDemanding 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. Twenty three 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 frontoparietal/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.en
dc.description.notesNational Center for Advancing Translational Sciences, Grant/Award Numbers: KL2 TR 002241, UL1 TR 002240; National Institute on Aging, Grant/Award Number: R21-AG045460; NIH Office of the Director, Grant/Award Number: 1S10OD012240-01A1en
dc.description.sponsorshipNational Center for Advancing Translational SciencesUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Center for Advancing Translational Sciences (NCATS) [KL2 TR 002241, UL1 TR 002240]; National Institute on AgingUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Aging (NIA) [R21-AG045460]; NIH Office of the DirectorUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [1S10OD012240-01A1]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/hbm.25337en
dc.identifier.eissn1097-0193en
dc.identifier.issn1065-9471en
dc.identifier.issue6en
dc.identifier.pmid33534925en
dc.identifier.urihttp://hdl.handle.net/10919/103432en
dc.identifier.volume42en
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectcingulo&#8208en
dc.subjectopercular networken
dc.subjectglobal efficiencyen
dc.subjectgraph theoryen
dc.subjectintrinsic activityen
dc.subjectparticipation coefficienten
dc.subjectSternberg tasken
dc.subjecttask&#8208en
dc.subjectrelated connectivityen
dc.titleAge differences in functional network reconfiguration with working memory trainingen
dc.title.serialHuman Brain Mappingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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Scholarly Works, Human Development and Family Science
Destination Area: Adaptive Brain and Behavior (ABB)