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To study this, we collected fMRI data in younger and older participants during resting state, a selective attention (SA) task and an n\u2010back working memory task with varying levels of difficulty. Spatial independent component (IC) analysis was used to identify functional networks over all participants and all conditions. Dual regression was used to obtain participant and task specific time\u2010courses per IC. Subsequently, functional connectivity was computed between all ICs in each of the tasks. Based on these functional connectivity matrices, a scaled version of the eigenvector centrality (SEC) was used to measure the total influence of each IC in the complete graph of ICs. The results demonstrated that elderly remain able to adapt FNC to task demands. However, there was an age\u2010related shift in the impetus for FNC change. Older participants showed the maximal change in SEC patterns between resting state and the SA task. Young participants, showed the largest shift in SEC patterns between the less demanding SA task and the more demanding 2\u2010back task. Our results suggest that increased FNC changes from resting state to low demanding tasks in elderly reflect recruitment of additional resources, compared with young adults. The lack of change between the low and high demanding tasks suggests that elderly reach a resource ceiling.<jats:italic>Hum Brain Mapp 35:3788\u20133804, 2014<\/jats:italic>. \u00a9<jats:bold>2013 Wiley Periodicals, Inc.<\/jats:bold><\/jats:p>","DOI":"10.1002\/hbm.22437","type":"journal-article","created":{"date-parts":[[2013,12,31]],"date-time":"2013-12-31T11:21:11Z","timestamp":1388488871000},"page":"3788-3804","source":"Crossref","is-referenced-by-count":38,"title":["Flexible connectivity in the aging brain revealed by task modulations"],"prefix":"10.1002","volume":"35","author":[{"given":"Linda","family":"Geerligs","sequence":"first","affiliation":[{"name":"Department of Experimental Psychology, Faculty of Behavioural and Social Sciences University of Groningen The Netherlands"},{"name":"Neuroimaging Center University Medical Center Groningen, University of Groningen The 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