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To elucidate these points, we employed an unsupervised machine learning approach based on independent component analysis to test the hypothesis that specific functional and structural networks are associated with individual differences in trait anger and anger control. Structural and functional resting state images of 71 subjects as well as their scores from the State\u2013Trait Anger Expression Inventory entered the analyses. At a structural level, the concentration of grey matter in a network including ventromedial temporal areas, posterior cingulate, fusiform gyrus and cerebellum was associated with trait anger. The higher the concentration, the higher the proneness to experience anger in daily life due to the greater tendency to orient attention towards aversive events and interpret them with higher hostility. At a functional level, the activity of the default mode network (DMN) was associated with anger control. The higher the DMN temporal frequency, the stronger the exerted control over anger, thus extending previous evidence on the role of the DMN in regulating cognitive and emotional functions in the domain of anger. Taken together, these results show, for the first time, two specialized brain networks for encoding individual differences in trait anger and anger control.<\/jats:p>","DOI":"10.1111\/ejn.15537","type":"journal-article","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T04:00:23Z","timestamp":1637294423000},"page":"510-527","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study"],"prefix":"10.1111","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6080-9467","authenticated-orcid":false,"given":"Sara","family":"Sorella","sequence":"first","affiliation":[{"name":"Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences (DiPSCo) University of Trento  Rovereto Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Vellani","sequence":"additional","affiliation":[{"name":"Affective Brain Lab, Department of Experimental Psychology University College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roma","family":"Siugzdaite","sequence":"additional","affiliation":[{"name":"MRC Cognition and Brain Unit Cambridge University  Cambridge UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paola","family":"Feraco","sequence":"additional","affiliation":[{"name":"Department of Experimental, Diagnostic and Specialty Medicine (DIMES) University of Bologna  Bologna Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Grecucci","sequence":"additional","affiliation":[{"name":"Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences (DiPSCo) University of Trento  Rovereto Italy"},{"name":"Centre for Medical Sciences (CISMed) University of Trento  Trento Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,12,27]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2019.12.002"},{"key":"e_1_2_11_3_1","doi-asserted-by":"crossref","unstructured":"Allegra M. 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