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Whole\u2010brain cortical mean\u2010field dynamic modeling provides a way to integrate structural and functional imaging outcomes, allowing investigation of microscale brain dynamics. In this study, we adopted the relaxed mean\u2010field dynamic modeling to investigate structural and functional connectivity in 42 HIV\u2010infected subjects before and after 12\u2010week of combination antiretroviral therapy (cART) and compared them with 46 age\u2010matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region\u2010specific microscale brain properties, recurrent connection strengths, and subcortical inputs. We also analyzed the relationship between the model parameters (i.e., the recurrent connection and subcortical inputs) and functional network topological characterizations, including smallworldness, clustering coefficient, and network efficiency. The results show that untreated HIV\u2010infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12\u2009weeks of cART, both the microscale brain dynamics and the network topological measurements improved and were closer to those in the healthy brain. This was also associated with improved cognitive performance, suggesting that improvement in local brain dynamics translates into clinical improvement.<\/jats:p>","DOI":"10.1002\/hbm.25207","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T15:00:31Z","timestamp":1600354831000},"page":"95-109","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Whole\u2010brain computational modeling reveals disruption of microscale brain dynamics in\n                    <scp>HIV<\/scp>\n                    infected individuals"],"prefix":"10.1002","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3801-9394","authenticated-orcid":false,"given":"Yuchuan","family":"Zhuang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering University of Rochester  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9047-8838","authenticated-orcid":false,"given":"Zhengwu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Computational Biology University of Rochester Medical Center  Rochester New York USA"},{"name":"Department of Neuroscience University of Rochester Medical Center  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madalina","family":"Tivarus","sequence":"additional","affiliation":[{"name":"Department of Neuroscience University of Rochester Medical Center  Rochester New York USA"},{"name":"Department of Imaging Sciences University of Rochester Medical Center  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Qiu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Computational Biology University of Rochester Medical Center  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhui","family":"Zhong","sequence":"additional","affiliation":[{"name":"Department of Imaging Sciences University of Rochester Medical Center  Rochester New York USA"},{"name":"Department of Biomedical Engineering University of Rochester  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giovanni","family":"Schifitto","sequence":"additional","affiliation":[{"name":"Department of Imaging Sciences University of Rochester Medical Center  Rochester New York USA"},{"name":"Department of Neurology University of Rochester Medical Center  Rochester New York USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,9,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.11.025"},{"key":"e_1_2_10_3_1","first-page":"97881w","article-title":"Investigating changes in brain network properties in HIV\u2010associated neurocognitive disease (HAND) using mutual connectivity analysis (MCA). 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