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Acquiring new motor actions through repetitive practice requires adjusting motor output in response to sensory input and integrating them to facilitate learning. For this to occur, the central nervous system must flexibly predict and adapt to the dynamic interplay between sensory inputs and motor outputs. Although overall brain function changes with age, it remains unclear how flexible brain networks, reflecting moment-to-moment reconfiguration of large-scale brain networks, influence motor learning ability with aging. To address this, we designed a visuomotor learning task involving both younger and older adults and quantitatively assessed brain network flexibility, leveraging multichannel electroencephalography (EEG) in humans. We found age-group differences in motor learning properties, brain network flexibility, and their neural relationships. In younger adults, the learning aftereffect was associated with brain network flexibility during motor preparation in the learning task. However, this association was not observed in older adults. Together, our findings suggest that brain network flexibility during motor preparation was critical for acquiring and maintaining new motor actions in younger adults, but that this coupling was attenuated with aging.<\/jats:p>","DOI":"10.1162\/imag.a.1359","type":"journal-article","created":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T20:01:56Z","timestamp":1786996916000},"update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["Distinct roles of brain network flexibility in motor learning across age"],"prefix":"10.1162","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2350-8694","authenticated-orcid":false,"given":"Kazumasa","family":"Uehara","sequence":"first","affiliation":[{"name":"Neural Information Dynamics Laboratory, Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan"},{"name":"Human-Centered AgriTech Co-Creation Center (HAC3), Toyohashi University of Technology, Toyohashi, Japan"},{"name":"Division of Neural Dynamics, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7129-7732","authenticated-orcid":false,"given":"Makoto","family":"Hagihara","sequence":"additional","affiliation":[{"name":"Division of Neural Dynamics, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan"},{"name":"Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies, SOKENDAI, Okazaki, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1094-908X","authenticated-orcid":false,"given":"Keiichi","family":"Kitajo","sequence":"additional","affiliation":[{"name":"Division of Neural Dynamics, Department of System Neuroscience, National Institute for Physiological 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