Whole‐brain computational modeling reveals disruption of microscale brain dynamics in HIV infected individuals
MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field dynamic modeling provides a way to integrate structural and functional imaging outcomes, allowing investigation of microscale brain dynamics. In this study, we...
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| Vydáno v: | Human brain mapping Ročník 42; číslo 1; s. 95 - 109 |
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| Jazyk: | angličtina |
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Hoboken, USA
John Wiley & Sons, Inc
01.01.2021
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| ISSN: | 1065-9471, 1097-0193, 1097-0193 |
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| Abstract | MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field 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‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12‐week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region‐specific 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‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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.
In this study, we adopted the relaxed mean‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12 week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. The results show that untreated HIV‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. |
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| AbstractList | MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field 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‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12‐week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region‐specific 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‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field 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‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12‐week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region‐specific 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‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. In this study, we adopted the relaxed mean‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12 week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. The results show that untreated HIV‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field 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‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12‐week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region‐specific 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‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. In this study, we adopted the relaxed mean‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12 week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. The results show that untreated HIV‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. MRI-based neuroimaging techniques have been used to investigate brain injury associated with HIV-infection. Whole-brain cortical mean-field 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-field dynamic modeling to investigate structural and functional connectivity in 42 HIV-infected subjects before and after 12-week of combination antiretroviral therapy (cART) and compared them with 46 age-matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region-specific 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-infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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.MRI-based neuroimaging techniques have been used to investigate brain injury associated with HIV-infection. Whole-brain cortical mean-field 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-field dynamic modeling to investigate structural and functional connectivity in 42 HIV-infected subjects before and after 12-week of combination antiretroviral therapy (cART) and compared them with 46 age-matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region-specific 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-infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks 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. |
| Audience | Academic |
| Author | Tivarus, Madalina Zhong, Jianhui Zhuang, Yuchuan Zhang, Zhengwu Qiu, Xing Schifitto, Giovanni |
| AuthorAffiliation | 1 Department of Electrical and Computer Engineering University of Rochester Rochester New York USA 2 Department of Biostatistics and Computational Biology University of Rochester Medical Center Rochester New York USA 6 Department of Neurology University of Rochester Medical Center Rochester New York USA 3 Department of Neuroscience University of Rochester Medical Center Rochester New York USA 5 Department of Biomedical Engineering University of Rochester Rochester New York USA 4 Department of Imaging Sciences University of Rochester Medical Center Rochester New York USA |
| AuthorAffiliation_xml | – name: 4 Department of Imaging Sciences University of Rochester Medical Center Rochester New York USA – name: 1 Department of Electrical and Computer Engineering University of Rochester Rochester New York USA – name: 6 Department of Neurology University of Rochester Medical Center Rochester New York USA – name: 5 Department of Biomedical Engineering University of Rochester Rochester New York USA – name: 2 Department of Biostatistics and Computational Biology University of Rochester Medical Center Rochester New York USA – name: 3 Department of Neuroscience University of Rochester Medical Center Rochester New York USA |
| Author_xml | – sequence: 1 givenname: Yuchuan orcidid: 0000-0002-3801-9394 surname: Zhuang fullname: Zhuang, Yuchuan organization: University of Rochester – sequence: 2 givenname: Zhengwu orcidid: 0000-0002-9047-8838 surname: Zhang fullname: Zhang, Zhengwu organization: University of Rochester Medical Center – sequence: 3 givenname: Madalina surname: Tivarus fullname: Tivarus, Madalina organization: University of Rochester Medical Center – sequence: 4 givenname: Xing surname: Qiu fullname: Qiu, Xing organization: University of Rochester Medical Center – sequence: 5 givenname: Jianhui surname: Zhong fullname: Zhong, Jianhui email: jianhui_zhong@urmc.rochester.edu organization: University of Rochester – sequence: 6 givenname: Giovanni surname: Schifitto fullname: Schifitto, Giovanni organization: University of Rochester Medical Center |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32941693$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1002_hbm_25592 crossref_primary_10_3389_fneur_2021_725059 crossref_primary_10_3389_fneur_2025_1467175 crossref_primary_10_1016_j_clinph_2022_03_014 crossref_primary_10_1016_j_drugalcdep_2024_112416 crossref_primary_10_1016_j_csda_2025_108239 crossref_primary_10_1186_s12879_025_10780_2 |
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| Copyright | 2020 The Authors. published by Wiley Periodicals LLC. 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. COPYRIGHT 2020 John Wiley & Sons, Inc. 2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Keywords | tractography HIV-infection whole-brain computational modeling resting-state functional MRI graph theoretical analysis |
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| Snippet | MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field dynamic modeling... MRI-based neuroimaging techniques have been used to investigate brain injury associated with HIV-infection. Whole-brain cortical mean-field dynamic modeling... |
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| SubjectTerms | Adult Antiretroviral agents Antiretroviral drugs Antiretroviral therapy Antiretroviral Therapy, Highly Active Brain Brain - diagnostic imaging Brain - pathology Brain - physiopathology Brain injury Clustering Cognitive ability Computational neuroscience Computer simulation Computer-generated environments Connectome Correlation analysis Default Mode Network - diagnostic imaging Default Mode Network - pathology Default Mode Network - physiopathology Diffusion Tensor Imaging Dynamic models Dynamic structural analysis Dynamics Echo-Planar Imaging Female Follow-Up Studies graph theoretical analysis Head injuries Highly active antiretroviral therapy HIV HIV (Viruses) HIV infection HIV Infections - diagnostic imaging HIV Infections - drug therapy HIV Infections - pathology HIV Infections - physiopathology HIV patients Human immunodeficiency virus Humans Infection Injuries Investigations Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medical research Medicine, Experimental Models, Theoretical Nerve Net - diagnostic imaging Nerve Net - pathology Nerve Net - physiopathology Neural networks Neuroimaging Neuroimaging - methods Parameters resting‐state functional MRI Structure-function relationships Topology tractography whole‐brain computational modeling |
| Title | Whole‐brain computational modeling reveals disruption of microscale brain dynamics in HIV infected individuals |
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