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In particular, functional networks of older adults were characterized by reduced decoupling between systems, reduced segregation and efficiency, and a larger number of hub regions relative to young adults. Exploring the predictive utility of these age-related changes in network topology revealed high, albeit less efficient, performance for older adults whose brain graphs showed stronger dedifferentiation and reduced distinctiveness. Our results extend theoretical accounts on neurocognitive aging by revealing the compensational potential of the commonly reported pattern of network dedifferentiation when older adults can rely on their prior knowledge for successful task processing. However, we also demonstrate the limitations of such compensatory reorganization and show that a youth-like network architecture in terms of balanced integration and segregation is associated with more economical processing.<\/jats:p>","DOI":"10.1093\/cercor\/bhac387","type":"journal-article","created":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T13:58:52Z","timestamp":1664805532000},"page":"4886-4903","source":"Crossref","is-referenced-by-count":8,"title":["Age-related reorganization of functional network architecture in semantic cognition"],"prefix":"10.1093","volume":"33","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-6687-5278","authenticated-orcid":false,"given":"Sandra","family":"Martin","sequence":"first","affiliation":[{"name":"Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences , 04103 Leipzig , Germany"},{"name":"Language & Aphasia Laboratory , Department of Neurology, , 04103 Leipzig , 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