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When exposed to risk factors, individuals may develop debilitating disorders of impulse control (addiction, substance abuse, gambling) characterized by behavioral and cognitive deficits, eventually leading to huge socioeconomic costs. With the far-reaching aim of preventing the onset of impulsive disorders, it is relevant to investigate the topological organization of functional brain networks associated with impulsivity in sub-clinical populations. Taking advantage of the open-source LEMON dataset, we investigated the topological features of resting-state functional brain networks associated with impulsivity in younger (<jats:italic>n<\/jats:italic>\u00a0=\u00a0146, age: 20\u201335) and older (<jats:italic>n<\/jats:italic>\u00a0=\u00a061, age: 59\u201377) individuals, using a graph-theoretical approach. Specifically, we computed indices of segregation and integration at the level of specific circuits and nodes known to be involved in impulsivity (frontal, limbic, and striatal networks). In younger individuals, results revealed that impulsivity was associated with a more widespread, less clustered and less efficient functional organization, at all levels of analyses and in all selected networks. Conversely, impulsivity in older individuals was associated with reduced integration and increased segregation of striatal regions. Speculatively, such alterations of functional brain networks might underlie behavioral and cognitive abnormalities associated with impulsivity, a working hypothesis worth being tested in future research. Lastly, differences between younger and older individuals might reflect the implementation of age-specific adaptive strategies, possibly accounting for observed differences in behavioral manifestations. Potential interpretations, limitations and implications are discussed.<\/jats:p>","DOI":"10.1007\/s00429-023-02745-5","type":"journal-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T08:02:25Z","timestamp":1709712145000},"page":"865-877","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Topological features of functional brain networks and subclinical impulsivity: an investigation in younger and older adults"],"prefix":"10.1007","volume":"229","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9516-3045","authenticated-orcid":false,"given":"Silvia","family":"Fornaro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4385-6848","authenticated-orcid":false,"given":"Arianna","family":"Menardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4087-2845","authenticated-orcid":false,"given":"Antonino","family":"Vallesi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,6]]},"reference":[{"issue":"4","key":"2745_CR1","doi-asserted-by":"publisher","first-page":"0460d1","DOI":"10.1088\/1741-2552\/ac16b3","volume":"18","author":"M Ahmadi","year":"2021","unstructured":"Ahmadi M, Kazemi K, Kuc K, Cybulska-Klosowicz A, Helfroush MS, Aarabi A (2021) Resting state dynamic functional connectivity in children with attention deficit\/hyperactivity disorder. 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